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1
Noyes, Daniel, and François Pérès. "Maintenance Strategies Integrated into Production Management: Towards Performance Optimisation." IFAC Proceedings Volumes 31, no. 15 (June 1998): 969–74. http://dx.doi.org/10.1016/s1474-6670(17)40677-x.
2
Hafidi, Nouhayla, Abdellah El Barkany, Abderrahman El Mhamedi, and Morad Mahmoudi. "Integrated planning of production and maintenance for imperfect system with subcontracting strategies." International Journal of Engineering Business Management 12 (January 1, 2020): 184797902092978. http://dx.doi.org/10.1177/1847979020929783.
Abstract:
The purpose of this article is to deal with subcontracting strategies in the context of production, maintenance and quality integration. We study the multi-item capacitated lot-sizing problem for a production system composed of a single machine. The production system is considered imperfect, producing both conforming and non-conforming items. However, the deterioration of the system is a function of the time and production rate, which affects the quality of the manufactured items. Consequently, a quality control strategy is established, the aim is to inspect, adjust and control the manufactured items. To solve our problem, an evolutive optimization approach is proposed, namely the genetic algorithm (GA). Then, in order to adjust the parameters of GA, we use the Taguchi method. This article is one of the few documents dealing with integrated production management, maintenance and quality under subcontracting constraints that takes into account the complex aspect of the multi-item manufacturing industry. Then, a sensitivity analysis is also carried out to illustrate the robustness of the proposed control policy. Finally, we compare our results with the literature to validate our approach and highlight the advantage of subcontracting in minimizing costs.
3
Khanna, Aditi, Prerna Gautam, Biswajit Sarkar, and Chandra K. Jaggi. "Integrated vendor–buyer strategies for imperfect production systems with maintenance and warranty policy." RAIRO - Operations Research 54, no. 2 (February 27, 2020): 435–50. http://dx.doi.org/10.1051/ro/2019029.
Abstract:
Collaboration has evolved as a key component of many modern supply chains, supporting the competitive advantages of companies in a range of operations from manufacturing to sales. With this viewpoint, the present paper develops an integrated inventory model in which manufacturing is carried out at the vendor’s end so as to fulfill demand at the buyer’s doorway. As the production process is presumed to be imperfect it shifts from an “in-control” state to “out-of-control” state at any random time and yields non-conforming items. The vendor uses regular preventive maintenance actions for the efficient operation of the production system and offers free minimal repair warranty on the products sold to the buyer. Along with preventive maintenance actions the vendor also uses the rework process and restoration process as effective steps towards minimizing the imperfections of the production system. The proposed model solves the non-linear cost minimization problem through a generalized reduced gradient method by using Lingo 15.0. The aim is to jointly optimize the order size, backorder size and the number of shipments in order to minimize the integrated cost of the vendor and the buyer. Numerical analysis and sensitivity analysis is performed on key parameters that render some important supervisory insights.
4
Zhao, Zhiyuan, and Qilong Yuan. "Integrated Scheduling of the Production and Maintenance of Parallel Machine Job-shop Considering Stochastic Machine Breakdowns." Journal of Engineering Management and Systems Engineering 1, no. 1 (November 30, 2022): 15–22. http://dx.doi.org/10.56578/jemse010103.
Abstract:
The integrated scheduling of production and maintenance can make equipment maintenance in line with the production pace, so as to effectively prevent anormal interruptions of the production process due to equipment failure, and ensure the smooth implementation of the production scheduling plan. Aiming at the parallel machine job-shop environment, and considering stochastic machine failures and different degradation speeds of parallel machines, this paper introduced the minimal maintenance and preventive maintenance strategies to establish an integrated scheduling model for production and maintenance, designed a genetic algorithm based on process coding and binary hybrid coding to solve the model, and verified the correctness of the proposed model and the effectiveness of the algorithm through an instance. This study provided an effective decision-making method for parallel machine job-shop scheduling problems.
5
Gidiagba, Joachim Osheyor, Joel Leonard, Oluwaseun Ayo Ogunjobi, Kelechi Anthony Ofonagoro, and Chibuike Daraojimba. "BALANCING EFFICIENCY AND RESILIENCE: A CRITICAL REVIEW OF MAINTENANCE STRATEGIES IN CONVENTIONAL AND UNCONVENTIONAL OIL AND GAS PRODUCTION." Engineering Heritage Journal 7, no. 2 (July 25, 2023): 157–66. http://dx.doi.org/10.26480/gwk.02.2023.157.166.
Abstract:
Efficiency and resilience are critical aspects of maintenance strategies in the dynamic oil and gas industry. This paper provides a comprehensive review of maintenance approaches in conventional and unconventional production, highlighting the delicate balance required between efficient operations and the ability to withstand disruptions. Through case studies, emerging technologies, and future trends, the paper explores strategies to optimize production processes while ensuring robustness against challenges. By offering insights into integrated maintenance solutions, this review contributes to informed decision-making and the advancement of sustainable practices in oil and gas production.
6
Nawangsari, Lenny Christina, and Ahmad Hidayat Sutawijaya. "SOCIALIZATION OF PRODUCTION MAINTENANCE MANAGEMENT TO IMPROVING THE MSMEs COMPETITIVENESS IN MERUYA SELATAN - WEST JAKARTA." ICCD 2, no. 1 (November 28, 2019): 71–75. http://dx.doi.org/10.33068/iccd.vol2.iss1.238.
Abstract:
The development of Small and Medium Enterprises (SMEs) in Indonesia is increasingly rapid, this requires the existence of integrated handling in order to compete in the business world. Increasing competition makes SMEs must have an effective strategy. One strategy in the field of production management is good management of maintenance. Community service activities carried out in the South Meruya attended by 24 participants, the activity took place with an explanation relating to the Socialization & Training of Maintenance Management in Production at SMEs. Material related to Production Maintenance Management and production maintenance management processes. This training is an activity related to community economic empowerment through maintenance strategy training in SMEs business competition. In order to support the economic empowerment efforts of community counseling and training on Operational Strategies in SMEs business competition through residents who live in partner villages, it will help partner citizens know how to create maintenance strategies in SMEs business competition to improve community welfare. For this reason, this activity will provide training and assistance in operational strategies in SMEs business competition, so that partners are able to apply them in managing their business activities. The outputs that are expected to be realized from this activity are: 1. Development of knowledge of operational maintenance strategies in SMEs business competition in the residents of partner villages; 2. The formation of social care groups to make operational strategies in SMEs business competition in village.
7
Cazañas, Ronald Díaz, and Daynier Rolando Delgado Sobrino. "On the Integration of Production and Maintenance Planning at the Tactical Level: Proposal of a Contribution Procedure." Applied Mechanics and Materials 474 (January 2014): 35–41. http://dx.doi.org/10.4028/www.scientific.net/amm.474.35.
Abstract:
This paper deals with the problematic of the ProductionMaintenance integration and what it represents to the correct functioning of the companies. As a consequence of this, it is introduced a general contribution procedure for the integration of production and maintenance planning at the tactical level. With it, elements of the Value Analysis, the Reliability Centered Maintenance and the Fuzzy Control Theory are integrated in the context of an existing method for selecting maintenance strategies. The key outputs of the proposal consist on defining (1) the roles played by the fixed assets that do really add value to the production system, (2) the best maintenance strategy for each asset and, (3) the modifications that, if necessary, are to be made in the tactical plan of production due to potential capacity problems in the maintenance subsystem.
8
Rivera-Gómez, Héctor, Joselito Medina-Marin, Francisca Santana-Robles, Oscar Montaño-Arango, Irving Barragán-Vite, and Gabriel Cisneros-Flores. "Impact of Unreliable Subcontracting on Production and Maintenance Planning Considering Quality Decline." Applied Sciences 12, no. 7 (March 26, 2022): 3379. http://dx.doi.org/10.3390/app12073379.
Abstract:
Manufacturing systems face several disturbances during production, such as sudden failures, defects, and unreliable subcontractors that reduce their production capacity. Currently, subcontracting represents an efficient alternative to support production decisions. The novelty of the study was the development of a new integrated model that properly coordinates production, subcontracting, and maintenances strategies in the context of stochastic uncertainty, quality deterioration, and random subcontracting availability. Such a set of characteristics has not been addressed before in the literature. A simulation–optimization approach was proposed to address such a stochastic model. A numerical case study was performed as an illustration of the approach and a comprehensive sensitivity analysis was performed to analyze the impact of several costs. Furthermore, the effect of the availability of the subcontractor and the producer was analyzed. The main finding of the study showed that the integrated model led to significant economic cost savings compared to other approaches that address such policies in isolation. The results also indicated that quality deterioration had a strong impact on the subcontracting rate and that the proposed joint control policy adequately coordinated these three key functions. The level of subcontracting participation was directly defined by its availability and the subcontracting cost.
9
Lingegård, Sofia, Malena I. Havenvid, and Per-Erik Eriksson. "Circular Public Procurement through Integrated Contracts in the Infrastructure Sector." Sustainability 13, no. 21 (October 29, 2021): 11983. http://dx.doi.org/10.3390/su132111983.
Abstract:
Public clients’ procurement strategies are central in facilitating innovation towards sustainability. In the infrastructure sector, the three main project activities—design, production, and maintenance—are traditionally not procured in an integrated way, which results in sub-optimizations and a lack of life cycle perspective. As project actors are accustomed to traditional, non-integrated forms of contract, implementing integrated contracts imposes fundamental changes to the interdependencies among actors, resources, and activities. This study analyzes the interfaces among key project actors and the related interdependencies across design, production, and maintenance in Design–Build–Maintain contracts, and initiates a discussion on how to manage these interdependencies when implementing integrated contracts. This study of circular public procurement (CPP) focused on three infrastructure projects using integrated contracting and applied the industrial network approach (INA) to analyze interdependencies in how they may influence innovation and sustainable development. The study found significant obstacles to clients obtaining the benefits of integrated contracting and concludes that understanding interdependencies is necessary to implement integrated contracts successfully. The study contributes to the construction management literature by adapting the INA to contracting, and to the CPP literature by providing empirical evidence of sustainability and circularity in infrastructure projects.
10
Schutz, Jérémie, Anis Chelbi, Nidhal Rezg, and Safa Ben Salem. "Production and maintenance strategies for parallel machines with load transfer in case of failure." Journal of Quality in Maintenance Engineering 25, no. 4 (October 2, 2019): 525–44. http://dx.doi.org/10.1108/jqme-07-2017-0049.
Abstract:
PurposeThe purpose of this paper is to deal with the problem of integration of production and maintenance policies. In this context, the authors consider production systems made of parallel machines producing a single product over a finite horizon made of equal periods for which a forecasted demand is known. The authors investigate the impact of switching production in case of failure of any given machine.Design/methodology/approachA mathematical model is first developed to find an optimal production plan which minimizes the average total storage, shortage and production costs. Then, using this optimal production plan and taking into account the influence of the production rate on the degradation of each machine, optimal preventive maintenance (PM) policies are proposed for the situations with and without switching.FindingsOptimal production rates are determined for each production period and for each machine. Optimal PM periods are also computed for each machine.Practical implicationsUsually, in manufacturing systems, the production rate of a machine influences its failure rate. In case a machine fails, it takes a random time to repair it during which production is lost. The paper attempts to propose a switching policy (SP) according to which the lost production is compensated by all the other machines. The effects of the SP coupled with the PM strategy are shown through a numerical example.Originality/valueContrarily to previous works, the authors consider more realistic settings with a non-negligible random time for repairing failed machines. In order to compensate the lost production during the repair of a failed machine, a SP is proposed to transfer the load uniformly to all the other machines. As a result, those machines will produce at a higher production rate and will consequently have their failure rate increased. It will therefore be essential to determine an optimal PM schedule knowing that durations of these activities are not negligible. It is shown that the simultaneous implementation of periodic PM and load transfer in case of failure is the most economical integrated strategy.
11
Gejo-García, Javier, Jan Reschke, Sergio Gallego-García, and Manuel García-García. "Development of a System Dynamics Simulation for Assessing Manufacturing Systems Based on the Digital Twin Concept." Applied Sciences 12, no. 4 (February 17, 2022): 2095. http://dx.doi.org/10.3390/app12042095.
Abstract:
Historically, manufacturing system researchers and managers have often failed to consider all the areas, factors, and implications of a process within an integrated manufacturing model. Thus, the aim of this research was to develop an integral modeling approach for manufacturing processes in order to assess their status and performance. For this purpose, a novel conceptual model consisting of an integral definition of areas and flows is applied. As a result, manufacturing systems can be modeled, considering all related flows and decision-making options in the respective areas of production, maintenance, and quality. As a result, these models serve as the basis for the integral management and control of manufacturing systems in digital twin models for the regulation of process stability and quality with maintenance strategies. Thus, a system dynamics simulation model is developed for a metallurgical process. The goal of the simulation model is to provide a digital manufacturing system regulated with different maintenance, quality, and production strategies in order to secure quality and delivery service. The results show how the monitoring of all flows together with the optimal strategies in the quality and maintenance areas as a result of a regulated system can enable companies to increase their profitability and customer service level. In conclusion, the applied simulation case study allows better decision making, ensuring continuous optimization along the manufacturing asset lifecycle and providing a unique selling proposition for equipment producers and service engineering suppliers, as well as for production and assembly companies.
12
De Moraes Rego, Carlos Augusto Rocha, Paulo Sérgio Rabello de Oliveira, Jeferson Tiago Piano, Jonas Francisco Egewarth, Vanessa Aline Egewarth, Juan López de Herrera, and Affonso Celso Gonçalves Junior. "CHEMICAL PROPERTIES AND PHYSICAL FRACTIONS OF ORGANIC MATTER IN OXISOLS UNDER INTEGRATED AGRICULTURAL PRODUCTION SYSTEMS." JOURNAL OF NEOTROPICAL AGRICULTURE 7, no. 3 (September 9, 2020): 81–89. http://dx.doi.org/10.32404/rean.v7i3.4747.
Abstract:
The main cause of decreased soil fertility and soil organic matter content is intensive crop farming with inadequate management. This study aimed to evaluate soil chemical properties, total organic carbon content, physical granulometric fractions (particulate organic carbon and mineral-associated organic carbon), carbon stocks, and carbon management indices of oxisols in different integrated agricultural production systems (IAPSs) with reference to values in a haymaking area and native forest. The experiments were performed using completely randomized design, considering nine differently managed areas, including seven IAPSs and two reference areas (haymaking area and native forest); four soil samples from the 0.00-0.05, 0.05-0.10, and 0.10-0.20 m layers were randomly collected from each area and the abovementioned variables were evaluated. The results showed no differences in variables between the managed and reference areas, indicating the maintenance of fertility and carbon fractions. Therefore, the tested management strategies promote beneficial modifications of soil properties. Producers should adopt different IAPS management strategies for soil preservation.
13
Obinna Joshua Ochulor, Oludayo Olatoye Sofoluwe, Ayemere Ukato, and Dazok Donald Jambol. "Technological innovations and optimized work methods in subsea maintenance and production." Engineering Science & Technology Journal 5, no. 5 (May 5, 2024): 1627–42. http://dx.doi.org/10.51594/estj.v5i5.1112.
Abstract:
Subsea maintenance and production represent critical aspects of offshore operations, vital for sustaining energy production and ensuring operational efficiency. However, these endeavors face numerous challenges, including the complexities of deepwater environments, harsh weather conditions, and the high costs associated with traditional maintenance methods. To address these challenges, this paper explores the integration of technological innovations and optimized work methods in subsea operations. Technological innovations play a pivotal role in revolutionizing subsea maintenance and production. Remote monitoring and control systems enable real-time data collection and decision-making, enhancing operational visibility and efficiency. Autonomous underwater vehicles (AUVs) offer the capability to conduct inspections and repairs in remote and hazardous environments, reducing human intervention and associated risks. Robotics and automation further streamline maintenance tasks, improving accuracy and reducing downtime. Advanced materials and coatings enhance equipment durability and corrosion resistance, prolonging asset lifecycles and reducing maintenance requirements. In parallel, optimized work methods offer strategic approaches to enhance subsea operations' effectiveness. Predictive maintenance strategies leverage data analytics and machine learning to anticipate equipment failures, enabling proactive interventions and minimizing downtime. Condition-based monitoring facilitates real-time assessment of asset health, enabling timely maintenance interventions and cost savings. Integrated asset management systems provide holistic insights into asset performance and facilitate informed decision-making. Lean operations and continuous improvement methodologies further optimize workflows, driving operational excellence and cost efficiency. Through case studies and industry examples, this paper highlights the successful implementation of technological innovations and optimized work methods in subsea maintenance and production. Furthermore, it explores future trends, regulatory considerations, and the importance of industry collaborations in shaping the future of subsea operations. Ultimately, the integration of these approaches offers a pathway towards enhanced operational efficiency, reduced costs, and sustainable subsea operations. Keywords: Technological Innovations, Optimized Work Methods, Subsea Maintenance and Production.
14
Ge, Zhenpeng, and Hongfeng Wang. "Integrated Optimization of Blocking Flowshop Scheduling and Preventive Maintenance Using a Q-Learning-Based Aquila Optimizer." Symmetry 15, no. 8 (August 18, 2023): 1600. http://dx.doi.org/10.3390/sym15081600.
Abstract:
In recent years, integration of production scheduling and machine maintenance has gained increasing attention in order to improve the stability and efficiency of flowshop manufacturing systems. This paper proposes a Q-learning-based aquila optimizer (QL-AO) for solving the integrated optimization problem of blocking flowshop scheduling and preventive maintenance since blocking in the jobs processing requires to be considered in the practice manufacturing environments. In the proposed algorithmic framework, a Q-learning algorithm is designed to adaptively adjust the selection probabilities of four key population update strategies in the classic aquila optimizer. In addition, five local search methods are employed to refine the quality of the individuals according to their fitness level. A series of numerical experiments are carried out according to two groups of flowshop scheduling benchmark. Experimental results show that QL-AO significantly outperforms six peer algorithms and two state-of-the-art hybrid algorithms based on Q-Learning on the investigated integrated scheduling problem. Additionally, the proposed Q-learning and local search strategies are effective in improving its performance.
15
Jajimoggala, Sarojini, V. V. S. Kesava Rao, and Beela Satyanarayana. "Maintenance Strategy Evaluation Using ANP and Goal Programming." International Journal of Strategic Decision Sciences 2, no. 2 (April 2011): 56–77. http://dx.doi.org/10.4018/jsds.2011040104.
Abstract:
An optimal maintenance strategy mix is necessary for increasing availability and reliability levels of production facilities without significantly increasing operational costs. The selection of maintenance strategies is a typical Multiple Criteria Decision-Making (MCDM) problem with conflicting goals. Consideration of interdependence among the criteria and alternative policies for maintenance strategy provides valuable cost savings and greater benefits for any hybrid flow systems. For any decision maker, it is convenient to prioritize the criteria of MCDM problems and goals of goal programming problems in fuzzy terms. This paper presents an integrated approach for maintenance policy selection, using fuzzy Analytic Network Process (ANP) within a Goal Programming, based on fuzzy preemptive priority where goal hierarchies are specified in different levels of fuzzy importance. To overcome the criticism of inconsistency, unbalanced scale of judgments and uncertainty in the pair-wise comparison process, criteria weights are determined using modified fuzzy LLSM method.
16
Hamilton, Nicholas, Dennice Gayme, and Raúl Bayoán Cal. "Wind plant controls." Journal of Renewable and Sustainable Energy 14, no. 6 (November 2022): 060401. http://dx.doi.org/10.1063/5.0133996.
Abstract:
The development of operational strategies for wind farms as an integrated plant system to achieve a variety of goals from elevating power production to reducing maintenance needs has generated a great deal of interest in recent years. Achieving these operational goals requires an estimate of the energy available and the wind conditions affecting each turbine. The importance of the aerodynamic interaction of wind turbines with the dynamic atmospheric resource means that wakes (the momentum deficit due to power extraction) and their interactions through the farm have the largest influence on the available energy. Predicting the influence of wakes and their interactions, therefore, form the basis of wind farm control strategies to reduce power production losses, track a power signal, mitigate structural loading, or balance the wear and tear on wind turbines to decrease operation and maintenance costs. The articles in the “Advances in Wind Plant Controls: Strategies, Implementation, and Validation” Special Topic in the Journal of Renewable and Sustainable Energy describe the further development and evaluation of wake models and new approaches to wake steering that exploit advances in sensing or estimation to improve control performance.
17
RAMAMOORTHY, C. V., DANIEL E. COOKE, and CHITTA BARAL. "MAINTAINING THE TRUTH OF SPECIFICATIONS IN EVOLUTIONARY SOFTWARE." International Journal on Artificial Intelligence Tools 02, no. 01 (March 1993): 15–31. http://dx.doi.org/10.1142/s0218213093000035.
Abstract:
In this paper we explore how methods of truth maintenance and nonmonotonic reasoning may be applied in the engineering of integrated, dynamic systems. In the life of a large system, it is not possible to foresee every significant event which may affect the behavior of the system. Truth maintenance techniques may prove useful in the production and maintenance of these large systems. We discuss how it is that the decision making aspects of a system which change. Both the information on which we base our decisions and our strategies for decision making change. We discuss truth maintenance with respect to preserving the models of specifications and the models of programs. We discuss nonmonotonic reasoning and the need to have nonmonotonic program specification languages for evolutionary programs. We also discuss the relation between knowledge combination and software development.
18
Jiang, Aiping, Ning Dong, Kwok Leung Tam, and Chonghao Lyu. "Development and Optimization of a Condition-Based Maintenance Policy with Sustainability Requirements for Production System." Mathematical Problems in Engineering 2018 (2018): 1–19. http://dx.doi.org/10.1155/2018/4187575.
Abstract:
In the field of condition-based maintenance, maintenance costs and system reliability criteria are the primary considerations for traditional maintenance management. These methods lack consideration of the environmental impact caused by equipment degradation, such as excessive emissions and energy consumption. In addition, because equipment degradation has various impacts on the ecological environment, companies with excessive emissions and energy consumption can receive huge fines, making it of great value to study ecoconscious maintenance strategies. In this paper, we propose a condition-based maintenance strategy considering energy consumption and carbon dioxide emissions. The major objective of the research is to extend a model which integrates ecological aspects with maintenance decision-making and optimization. The simulation and sensitivity analyses conducted verify that the model proposed can minimize total costs, as well as the environmental impact.
19
Jordan, Christopher. "Curiosity, creativity and collaboration – creating a digitally integrated supply chain." APPEA Journal 57, no. 2 (2017): 477. http://dx.doi.org/10.1071/aj16148.
Abstract:
With the need to extend the life of ageing assets, manage shorter maintenance campaigns and ensure availability of resources, companies are becoming more curious and creative about possible solutions and more willing to collaborate across traditional silos. Oil and gas companies are building more digitally integrated supply chains and are seeing significant results. When a damaged gasket can cost US$1M/day and create a major safety hazard, even early stage implementation of digital technologies can generate significant improvements. A liquefied natural gas (LNG) plant was curious about what they could achieve through better data integration and alignment. Visualising activity plans and digitally integrating equipment strategies through bill of materials improved the plant’s supply responsiveness, increasing both asset availability and production output by 2%. Creatively leveraging automation across the supply chain is helping companies become more connected. Starting with advanced analytics, the building blocks for end-to-end solutions are being built. In the near future, predictive part failures data will automatically load into work management processes, maintenance plans will immediately update and the right parts automatically ordered at the right time. Some companies are experimenting with this ‘virtual handshake’ across departments and systems, creating a smarter, faster and more reliable operation. Using both analytics and improved collaboration, one LNG operation has seen a 40% reduction in duplicate parts, a 30% reduction in inventory and an 8% reduction in overall maintenance cost. Through curiosity, creativity and collaboration across a digitally integrated supply chain, industry organisations can reduce controllable operational cost, making them more reliable and competitive.
20
Mountjoy, Daniel C., and Stephen R. Gliessman. "Traditional management of a hillside agroecosystem in Tlaxcala, Mexico: An ecologically based maintenance system." American Journal of Alternative Agriculture 3, no. 1 (1988): 3–10. http://dx.doi.org/10.1017/s0889189300002058.
Abstract:
AbstractTraditional agricultural systems are increasingly being recognized as important examples of ecologically sustainable production methods and as such deserve agroecological attention. In a study of terrace agriculture in Tlaxcala, Mexico, the authors identify several management features which have been used for as long as three thousand years. The theoretical approach employs the notion of open versus closed agroecosystems for examining soil and water management, species diversity, and nutrient cycling. In the traditional system, conservation of existing resources is the distinctive feature whereas, with modern techniques, the emphasis is on replacement. The most distinctive feature of the Tlaxcalan agroecosystem is the terrace/cajete complex which serves to contain heavy downpours and trap eroded soil, ensures diversity of plant species, and traps and concentrates nutrients. The functioning of this traditional system is endangered by new management strategies that have responded to external political, economic and social pressures for change. This article discusses the ecological repercussions of these new practices and suggests ways that appropriate elements may be integrated to promote the sustainability of food production.
21
Romanov, Vladimir S., and Valery G. Goldshtein. "To the question of damage, maintenance and repairs of submersible electric equipment for oil production." Vestnik of Samara State Technical University. Technical Sciences Series 28, no. 2 (July 27, 2020): 111–23. http://dx.doi.org/10.14498/tech.2020.2.8.
Abstract:
In optimizing and managing the life cycles of submersible electrical equipment (SEE) for oil production, an integrated approach to the organization of maintenance and repairs (MRO) is advisable based on the development of a more advanced strategy for carrying out repair cycles. It is stated that the maintenance and repair strategies adopted by the oil industry do not fully ensure operational efficiency, which leads to an increase in premature equipment failures, a reduction in turnaround times and, as a result, losses for oil companies. The advantages and disadvantages of approaches to organizing the operation of SEE on the operating time and the actual state in the planning, implementation of maintenance and repair, as well as the feasibility of their complex application are evaluated. It is proposed to use statistical models to make an informed decision on determining the composition and period of MRO, forecasting the boundary states of sets in general and specific SEE electrical installations. At a given operating time, it is possible to determine the basic laws of the appearance of defects and the mean time between failures (MTBF) of the elements, as well as the fleet of equipment of oil-producing enterprises as a whole. The results obtained are the rationale for a set of recommendations to improve operational efficiency and optimize life cycle management of submersible electrical equipment for oil production.
22
Buirs, Liam, and Zamir K. Punja. "Integrated Management of Pathogens and Microbes in Cannabis sativa L. (Cannabis) under Greenhouse Conditions." Plants 13, no. 6 (March 10, 2024): 786. http://dx.doi.org/10.3390/plants13060786.
Abstract:
The increased cultivation of high THC-containing Cannabis sativa L. (cannabis), particularly in greenhouses, has resulted in a greater incidence of diseases and molds that can negatively affect the growth and quality of the crop. Among them, the most important diseases are root rots (Fusarium and Pythium spp.), bud rot (Botrytis cinerea), powdery mildew (Golovinomyces ambrosiae), cannabis stunt disease (caused by hop latent viroid), and a range of microbes that reduce post-harvest quality. An integrated management approach to reduce the impact of these diseases/microbes requires combining different approaches that target the reproduction, spread, and survival of the associated pathogens, many of which can occur on the same plant simultaneously. These approaches will be discussed in the context of developing an integrated plan to manage the important pathogens of greenhouse-grown cannabis at different stages of plant development. These stages include the maintenance of stock plants, propagation through cuttings, vegetative growth of plants, and flowering. The cultivation of cannabis genotypes with tolerance or resistance to various pathogens is a very important approach, as well as the maintenance of pathogen-free stock plants. When combined with cultural approaches (sanitation, management of irrigation, and monitoring for diseases) and environmental approaches (greenhouse climate modification), a significant reduction in pathogen development and spread can be achieved. The use of preventive applications of microbial biological control agents and reduced-risk biorational products can also reduce disease development at all stages of production in jurisdictions where they are registered for use. The combined use of promising strategies for integrated disease management in cannabis plants during greenhouse production will be reviewed. Future areas for research are identified.
23
Rocha, Patricia, and Rui Calejo Rodrigues. "Bibliometric review of improvements in building maintenance." Journal of Quality in Maintenance Engineering 23, no. 4 (October 9, 2017): 437–56. http://dx.doi.org/10.1108/jqme-07-2016-0030.
Abstract:
Purpose The purpose of this paper is to review the status of knowledge on the subject of building maintenance from an integrated perspective that incorporates the building lifecycle, that is, from the design stage to the end of life. This work considered the main aspects to be taken into account in determining and implementing maintenance strategies, which requires a cross-sectional view of the entire construction process. At the same time, this approach contributes to the organisation of building management. Design/methodology/approach Bibliometric review has been carried out to identify relevant subjects and topics about scientific production on building maintenance by analysing the contents of about 745 publications, over the last 15 years, between 2000 and 2016 (first quarter). The survey results were gradually organised into a database grouped into seven main themes which were found to be more discussed and others six emergent themes with topics on building maintenance research. Findings This research enabled a synthesis of the focal points in the literature on building maintenance, as well as debates among researchers and institutions in the field. The result is a view to the future regarding what issues merit further research and what content requires greater depth of understanding, allowing us to envision research directions that encompass topics and sub-topics for future development. To this end, this bibliometric study draws on knowledge developed over the last 15 years, using research studies published in refereed journals indexed in ISI/SCOPUS as its data source. Originality/value The novelty of this topic, and the aspect in which it differs from existing studies, is that the researchers analysed a single sub-topic: that is, content regarding maintenance. Thus, this bibliometric literature review allows us to achieve a comprehensive and integrated view of key issues developed in the field of building maintenance. The results show which topics have been more thoroughly developed and which still exhibit gaps and weaknesses. This review allows us to envision well thought out guidelines for future development that have the potential to be relevant to progress in building maintenance research. It also contributes to our understanding of the state of the art in this field of knowledge.
24
Reschke, Jan, and Sergio Gallego-García. "A Novel Methodology for Assessing and Modeling Manufacturing Processes." Applied Sciences 11, no. 21 (October 28, 2021): 10117. http://dx.doi.org/10.3390/app112110117.
Abstract:
Historically, researchers and practitioners have often failed to consider all the areas, factors, and implications of a process within an integrated manufacturing model. Thus, the aim of this research was to propose a holistic approach to manufacturing processes in order to assess their status and performance to improve target indicators such as product quality. For this purpose, a conceptual model is designed by identifying areas, flows, and indicators that are relevant to the assessment of a manufacturing system. Moreover, using the conceptual model, manufacturing systems can be modeled considering all related flows and decision-making options in the respective areas of production, maintenance, and quality. As a result, this model serves as the basis for the integral management and control of manufacturing systems in digital twin models for the regulation of process stability and quality with maintenance strategies. Thus, an assessment based on the conceptual model improves the knowledge level of all elements involved in the manufacturing of a product according to the desired quality specifications. The continuous monitoring of all areas and flows together with the optimal strategies in the quality and maintenance areas can enable companies to increase their profitability and customer service level. In this context, the discussion section lists key decision aspects for the assessment and improvement of manufacturing systems, while also providing a methodological sequence to evaluate and improve manufacturing systems. In conclusion, the conceptual approach allows better decision making, ensuring continuous optimization along the manufacturing asset lifecycle and providing a unique selling proposition for equipment producers and service engineering suppliers, as well as for production and assembly companies.
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Panicucci, Simone, Nikolaos Nikolakis, Tania Cerquitelli, Francesco Ventura, Stefano Proto, Enrico Macii, Sotiris Makris, et al. "A Cloud-to-Edge Approach to Support Predictive Analytics in Robotics Industry." Electronics 9, no. 3 (March 16, 2020): 492. http://dx.doi.org/10.3390/electronics9030492.
Abstract:
Data management and processing to enable predictive analytics in cyber physical systems holds the promise of creating insight over underlying processes, discovering anomalous behaviours and predicting imminent failures threatening a normal and smooth production process. In this context, proactive strategies can be adopted, as enabled by predictive analytics. Predictive analytics in turn can make a shift in traditional maintenance approaches to more effective optimising their cost and transforming maintenance from a necessary evil to a strategic business factor. Empowered by the aforementioned points, this paper discusses a novel methodology for remaining useful life (RUL) estimation enabling predictive maintenance of industrial equipment using partial knowledge over its degradation function and the parameters that are affecting it. Moreover, the design and prototype implementation of a plug-n-play end-to-end cloud architecture, supporting predictive maintenance of industrial equipment is presented integrating the aforementioned concept as a service. This is achieved by integrating edge gateways, data stores at both the edge and the cloud, and various applications, such as predictive analytics, visualization and scheduling, integrated as services in the cloud system. The proposed approach has been implemented into a prototype and tested in an industrial use case related to the maintenance of a robotic arm. Obtained results show the effectiveness and the efficiency of the proposed methodology in supporting predictive analytics in the era of Industry 4.0.
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Fox, Stephen, Patrick Ehlen, and Matthew Purver. "Enabling distributed communication of manual skills." International Journal of Managing Projects in Business 4, no. 1 (January 25, 2011): 49–63. http://dx.doi.org/10.1108/17538371111096881.
Abstract:
PurposeThe purpose of this paper is to inform the development of mixed initiative systems for distributed digital communication of manual skills. In particular, manual skills that are essential in project production paradigms such as engineer‐to‐order.Design/methodology/approachFindings from survey research, which included literature review and interviews with practitioners, are reported. Literature review investigated media, strategies, and computation relevant to distributed digital communication of manual skills. Interviews investigated attitudes among industry practitioners towards distributed digital communication of manual skills.FindingsCommunication media, instructional strategies, and computational semantics techniques are available which can be integrated to address the limitations of human communication of manual skills.Research limitations/implicationsOnly ten organizations were involved in interviews investigating attitudes towards distributed digital communication of manual skills.Practical implicationsManual skills will continue to be important to project businesses involved in the production, refurbishment, and/or maintenance of large engineer‐to‐order products such as public buildings and process plants. The limitations of human communication can be addressed by using a variety media, such as augmented reality headsets, to enable new instructional strategies, such as just‐in‐time training. Further, combinations of media and strategies can be integrated with computational semantics in the development of mixed initiative systems which provide feedback as well as initial instruction.Originality/valueThe originality of the research reported in this paper is that it addresses a full range of enablers for distributed communication of manual skills. Further, an overview of computational semantics is presented which does not rely on prior specialist knowledge. The value of this paper is that it introduces a framework for enabling distributed communication of manual skills. In addition, a preliminary ontology for distributed communication of manual skills is introduced, together with recommendations for implementation.
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Romanov, Vladimir, Valery Goldstein, and Vladislav Senko. "Resource and Lifecycle Management of Submersible Electrical Equipment for Oil Production Based on Technical Diagnostics and the Dynamics of Changes in Its Current State." Известия высших учебных заведений. Электромеханика 64, no. 4-5 (2021): 46–52. http://dx.doi.org/10.17213/0136-3360-2021-4-5-46-52.
Abstract:
In optimizing and managing the life cycles of submersible electrical equipment (SEE) for oil production, an integrated approach to the organization of maintenance and re-pairs (MRO) is advisable based on the devel-opment of a more advanced strategy for carrying out repair cycles. It is stated that the maintenance and repair strategies adopted by the oil industry do not fully ensure operational efficiency, which leads to an increase in premature equipment failures, a reduction in turnaround times and, as a result, losses for oil companies. The advantages and disadvantages of approaches to organizing the operation of SEE on the operating time and the actual state in the planning, implementation of maintenance and re-pair, as well as the feasibility of their com-plex application are evaluated. It is proposed to use statistical models to make an informed decision on deter-mining the composition and period of MRO, forecasting the boundary states of sets in general and specific SEE electrical installa-tions. At a given operating time, it is possible to determine the basic laws of the appearance of defects and the mean time between failures (MTBF) of the elements, as well as the fleet of equipment of oil-producing enterprises as a whole. The results obtained are the rationale for a set of recommendations to im-prove operational efficiency and optimize life cycle manage-ment of submersible electrical equipment for oil production.
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Wen, Yuxin, Yuanlong Yue, Xin Zuo, and Xiaoguang Li. "Reliability-Based Preventive Maintenance Strategy for Subsea Control System." Processes 12, no. 4 (April 9, 2024): 761. http://dx.doi.org/10.3390/pr12040761.
Abstract:
The subsea control system, a pivotal element of the subsea production system, plays an essential role in collecting production data and real-time operational monitoring, crucial for the consistent and stable output of offshore oil and gas fields. The increasing demand for secure offshore oil and gas extraction underscores the necessity for advanced reliability modeling and effective maintenance strategies for subsea control systems. Given the enhanced reliability of subsea equipment due to technological advancements, resulting in scarce failure data, traditional reliability modeling methods reliant on historical failure data are becoming inadequate. This paper proposes an innovative reliability modeling technique for subsea control systems that integrates a Wiener degradation model affected by random shocks and utilizes the Copula function to compute the joint reliability of components and their backups. This approach considers the unique challenges of the subsea environment and the complex interplay between components under variable loads, improving model accuracy. This study also examines the effects of imperfect maintenance on degradation paths and introduces a holistic lifecycle cost model for preventive maintenance (PM), optimized against reliability and economic considerations. Numerical simulations on a Subsea Control Module demonstrate the effectiveness of the developed models.
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Chu, Chia-Hua, Chia-Jung Lee, and Hsiang-Yuan Yeh. "Developing Deep Survival Model for Remaining Useful Life Estimation Based on Convolutional and Long Short-Term Memory Neural Networks." Wireless Communications and Mobile Computing 2020 (December 4, 2020): 1–12. http://dx.doi.org/10.1155/2020/8814658.
Abstract:
The application of mechanical equipment in manufacturing is becoming more and more complicated with technology development and adoption. In order to keep the high reliability and stability of the production line, reducing the downtime to repair and the frequency of routine maintenance is necessary. Since machine and components’ degradations are inevitable, accurately estimating the remaining useful life of them is crucial. We propose an integrated deep learning approach with convolutional neural networks and long short-term memory networks to learn the latent features and estimate remaining useful life value with deep survival model based on the discrete Weibull distribution. We conduct the turbofan engine degradation simulation dataset from Commercial Modular Aero-Propulsion System Simulation dataset provided by NASA to validate our approach. The improved results have proven that our proposed model can capture the degradation trend of a fault and has superior performance under complex conditions compared with existing state-of-the-art methods. Our study provides an efficient feature extraction scheme and offers a promising prediction approach to make better maintenance strategies.
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Chilibroste, P., M. J. Gibb, P. Soca, and D. A. Mattiauda. "Behavioural adaptation of grazing dairy cows to changes in feeding management: do they follow a predictable pattern?" Animal Production Science 55, no. 3 (2015): 328. http://dx.doi.org/10.1071/an14484.
Abstract:
Research conducted over recent decades to improve understanding of the functional responses among sward characteristics, intake rate and grazing behaviour has been reviewed. The opportunities to modify grazing pattern by changes in feeding management are discussed and the implications for dairy-farm feeding strategies are highlighted. Progress in the understanding of the functional responses between sward characteristics and intake rate and their main components (bite mass, bite area, bite depth and bite rates) has been substantial. However, progress in understanding the factors that mediate the initiation and the end of individual meals has been poorer and requires further study. Much of the research has been conducted using short-term experiments with a limited number of experimental animals and mostly conducted on mono-specific uniform swards. The physiological state of the animal as well as the maintenance energy associated with grazing strategies have received very little, if any, attention. More integrated (sward, animal, management) and long-term basic research is required to improve feeding practices at the farm level and the design of farms for the new generation of grassland-based dairy-production systems.
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Pang, H., M. Makarechian, J. A. Basarab, and R. T. Berg. "Structure of a dynamic simulation model for beef cattle production systems." Canadian Journal of Animal Science 79, no. 4 (December 1, 1999): 409–17. http://dx.doi.org/10.4141/a99-020.
Abstract:
A dynamic deterministic model for simulating beef cattle production systems is developed to evaluate the effects of production traits and management strategies on the bioeconomic efficiency of beef production systems. The model, named Alberta Beef Production Simulation System (ABPSS), is composed of four major submodels: herd inventory, nutrient requirement, forage production, and economic submodels. The herd inventory submodel is used to simulate population dynamics and feed requirements in the herd. The nutrient requirements submodel is mainly based on the 1996 version of the National Research Council (NRC). It is used to evaluate nutrients and feed requirements for calves and cows depending on their physiological status (maintenance, growth, lactation and gestation) and the climatic condition. The forage production sub-model is used to predict forage growth rate, cattle grazing rate, available forage biomass and total hectares required for grazing. The economic submodel measures bioeconomic efficiency, as net return per cow, by subtracting total cost from total return. The nutrient requirements predicted by ABPSS were compared with those recommended by the NRC for testing. The results that were predicted by the NRC model and ABPSS model were similar, as expected. Sensitivity analyses showed that cow mature weight, milk production, calf weaning weight and feed prices were the most critical input parameters in the model. It must be noted that the model was developed based on available experimental results and data from the literature and, due to the unavailability of a suitable data set, the model could not be validated. We suggest that the ABPSS has the potential for providing a useful method for simultaneous consideration of many factors in an integrated system, which could be helpful to beef cattle extension specialists and cow-calf production managers for assessing the potential effects of different management and selection strategies on bioeconomic efficiency. Key words: Beef cattle, simulation and modelling, production system, optimization
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Sucipto, S. Wulandari, and I. Ariani. "Quality risk analysis of cocoa agroindustry: a case study in Pesawaran District, Lampung Province." IOP Conference Series: Earth and Environmental Science 892, no. 1 (November 1, 2021): 012058. http://dx.doi.org/10.1088/1755-1315/892/1/012058.
Abstract:
Abstract Quality is a critical issue in small and medium scale cocoa agroindustry, which affected competitiveness significantly. Product quality is strongly influenced by implementing best practices in cocoa production and processing. This study aims to identify quality risks, analyze risks, and develop risk management strategies in the cocoa agroindustry using a case study. Analysis used Quality Risk Matrix to map the risks and Analytical hierarchy process to develop a quality risk management (QRM). The results showed that blooming is the highest quality risk, followed by taste differences, moisture content of raw materials, and color differences. From the management aspect, QRM in the cocoa agroindustry includes documentation system management, implementation of training regularly, implementation of internal audit, periodic reviews, impact assessment, development reports and controls verification, and development of an integrated supply chain systems. QRM includes providing facilities, maintenance of equipment and utilities, material management development, packaging and labeling, and continuous production methods from the technical side. The implementation of QRM in the cocoa agroindustry is carried out through improvements in the production process. In addition, the implementation of QRM requires support from the government and other stakeholders in the cocoa value chain.
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Yörük, Gökay, Ugur Bac, Fatma Yerlikaya-Özkurt, and Kamil Demirberk Ünlü. "Strategic Electricity Production Planning of Turkey via Mixed Integer Programming Based on Time Series Forecasting." Mathematics 11, no. 8 (April 14, 2023): 1865. http://dx.doi.org/10.3390/math11081865.
Abstract:
This study examines Turkey’s energy planning in terms of strategic planning, energy policy, electricity production planning, technology selection, and environmental policies. A mixed integer optimization model is proposed for strategic electricity planning in Turkey. A set of energy resources is considered simultaneously in this research, and in addition to cost minimization, different strategic level policies, such as CO2 emission reduction policies, energy resource import/export restriction policies, and renewable energy promotion policies, are also considered. To forecast electricity demand over the planning horizon, a variety of forecasting techniques, including regression methods, exponential smoothing, Winter’s method, and Autoregressive Integrated Moving Average methods, are used, and the best method is chosen using various error measures. The optimization model constructed for Turkey’s Strategic Electricity Planning is obtained for two different planning intervals. The findings indicate that the use of renewable energy generation options, such as solar, wind, and hydroelectric alternatives, will increase significantly, while the use of fossil fuels in energy generation will decrease sharply. The findings of this study suggest a gradual increase in investments in renewable energy-based electricity production strategies are required to eventually replace fossil fuel alternatives. This change not only reduces investment, operation, and maintenance costs, but also reduces emissions in the long term.
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Rivera, Madeline, Jordan Adams, and Luis O. Tedeschi. "43 Nutritional management for tropical-subtropical-adapted cattle receiving high-concentrate diets." Journal of Animal Science 97, Supplement_3 (December 2019): 33–34. http://dx.doi.org/10.1093/jas/skz258.066.
Abstract:
Abstract Contemporary nutritional research investigates the effects of diet formulation and feeding strategies on animal performance and global sustainability under different climates. Functional nutrition models have incorporated the effects of heat stress on net energy for maintenance requirements, dry matter intake (DMI), and milk production when accounting for animal and the environmental factors. It is commonly assumed that growing Bos indicus breeds receiving feedlot-type diets in tropical and subtropical regions have exhibited lower maintenance energy requirements than Bos taurus breeds. However, the ability to predict supplies of energy, protein, and minerals available to meet animal requirements depends on the accuracy and consistency of feed composition values obtained through digestibility trials and chemical analyses. Empirical observations indicate that feedstuffs grown in high temperatures affect cell wall lignification and metabolic activity rates, requiring special procedures for digestion trials. Similarly, physiological adaptation mechanisms in cattle in response to heat stress conditions include evapotranspiration, sweating, and drooling. Heat stress studies have reported a correlation between reduced DMI and increased dry matter digestibility for all breeds of cattle exposed to temperatures that exceed the upper critical temperatures. For that reason, diet formulation with integrated mathematical nutrition modeling can account for nutrient and animal variability, to improve total digestible nutrient values. Furthermore, the water requirement is influenced by stage and type of production, activity, diet composition, feed intake and environmental temperature. Adjustments in management practices could potentially result in reduced production losses caused by thermal heat stress. The utilization of region-specific facilities that accommodate cattle and ensure the availability and quality of drinking water will improve overall animal health and production. Cattle receiving high-concentrate diets in tropical and subtropical regions require adjustments in management and nutrition to mitigate challenges induced by heat stress environments, but improvements are warranted for required energy and water for Bos indicus breeds.
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Han, Runpeng, Fei Luo, Haisheng Yu, Yajun Yan, Yan Gong, Conghua Xie, and Liang Cheng. "Flux Balance Analysis Reveals Potential Anti–HIV-1 Metabolic Targets." Infectious Diseases & Immunity 4, no. 2 (April 2024): 61–68. http://dx.doi.org/10.1097/id9.0000000000000109.
Abstract:
Abstract Background Human immunodeficiency virus type 1 (HIV-1) remains a persistent global health challenge. Therefore, a continuous exploration of novel therapeutic strategies is essential. A comprehensive understanding of how HIV-1 utilizes the cellular metabolism machinery for replication can provide insights into new therapeutic approaches. Methods In this study, we performed a flux balance analysis using a genome-scale metabolic model (GEM) integrated with an HIV-1 viral biomass objective function to identify potential targets for anti–HIV-1 interventions. We generated a GEM by integrating an HIV-1 production reaction into CD4+ T cells and optimized for both host and virus optimal states as objective functions to depict metabolic profiles of cells in the status for optimal host biomass maintenance or for optimal HIV-1 virion production. Differential analysis was used to predict biochemical reactions altered optimal for HIV-1 production. In addition, we conducted in silico simulations involving gene and reaction knock-outs to identify potential anti–HIV-1 targets, which were subsequently validated by human phytohemagglutinin (PHA) blasts infected with HIV-1. Results Differential analysis identified several altered biochemical reactions, including increased lysine uptake and oxidative phosphorylation (OXPHOS) activities in the virus optima compared with the host optima. In silico gene and reaction knock-out simulations revealed de novo pyrimidine synthesis, and OXPHOS could serve as potential anti–HIV-1 metabolic targets. In vitro assay confirmed that targeting OXPHOS using metformin could suppress the replication of HIV-1 by 56.6% (385.4 ± 67.5 pg/mL in the metformin-treated group vs. 888.4 ± 32.3 pg/mL in the control group, P < 0.001). Conclusion Our integrated host-virus genome-scale metabolic study provides insights on potential targets (OXPHOS) for anti-HIV therapies.
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Ho, G., S. Dallas, M. Anda, and K. Mathew. "On-site wastewater technologies in Australia." Water Science and Technology 44, no. 6 (September 1, 2001): 81–88. http://dx.doi.org/10.2166/wst.2001.0346.
Abstract:
Domestic wastewater reuse is currently not permitted anywhere in Australia but is widely supported by the community, promoted by researchers, and improvised by up to 20% of householders. Its widespread implementation will make an enormous contribution to the sustainability of water resources. Integrated with other strategies in the outdoor living environment of settlements in arid lands, great benefit will be derived. This paper describes six options for wastewater reuse under research by the Remote Area Developments Group (RADG) at Murdoch University and case studies are given where productive use is being made for revegetation and food production strategies at household and community scales. Pollution control techniques, public health precautions and maintenance requirements are described. The special case of remote Aboriginal communities is explained where prototype systems have been installed by RADG to generate windbreaks and orchards. New Australian design standards and draft guidelines for domestic greywater reuse produced by the Western Australian State government agencies for mainstream communities are evaluated. It is recommended that dry composting toilets be coupled with domestic greywater reuse and the various types available in Australia are described. For situations where only the flushing toilet will suffice the unique “wet composting” system can be used and this also is described. A vision for household and community-scale on-site application is presented.
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VIDAL, PERMÍNIO OLIVEIRA, RYZIA DE CASSIA VIEIRA CARDOSO, ITACIARA LARROZA NUNES, and WANESSA KARINE DA SILVA LIMA. "Quality and Safety of Fresh Beef in Retail: A Review." Journal of Food Protection 85, no. 3 (November 24, 2021): 435–47. http://dx.doi.org/10.4315/jfp-21-294.
Abstract:
ABSTRACT This study aimed to review the scientific literature on the quality and safety of beef sold in retail, methodologies used for quality evaluation, and proposed interventions for the sector. Bibliographical research was performed to identify scientific articles using the electronic databases Ovid, PubMed, Scielo, LILACS, Scopus, and Embase. Thirty-three articles were included in the review. Given the different dimensions of the studies, the results were organized into three categories, according to the following approaches: food, environment, and handlers; consumers and selection criteria; and intervention strategies for the retail sector. The applied methodological strategies revealed inadequate conditions and neglect in several processing and operation stages that are fundamental to the maintenance of quality standards. The results confirm a worrying scenario and the presence of risks to consumers. Based on the studies evaluated, it is necessary to emphasize consumer concern about the importance of the integrated information chain—all stages involved in the production process and meat distribution for retail meat stores. The reported conditions from different studies indicate the need for interventions with a view to prevention of health risks, continued training of food handlers, and transformation of evidenced realities. In this context, it is possible to point out the predominance of diagnostic studies, in contrast with interventional studies focused on the training and qualification of food handlers. HIGHLIGHTS
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Calatrava, Javier, David Martínez-Granados, Raúl Zornoza, Manuel González-Rosado, Beatriz Lozano-García, Manuela Vega-Zamora, and María Dolores Gómez-López. "Barriers and Opportunities for the Implementation of Sustainable Farming Practices in Mediterranean Tree Orchards." Agronomy 11, no. 5 (April 22, 2021): 821. http://dx.doi.org/10.3390/agronomy11050821.
Abstract:
This study identifies, through consultation with relevant stakeholders, low-input farming practices that can help to minimize the most pressing agronomic and environmental problems in some of the most relevant Mediterranean woody crops in Spain (almond, citrus, and olive) and enhance their sustainability. The results illustrate stakeholders’ perception regarding how each cropping system could be oriented towards a more sustainable production. Despite each case study’s particularities, there is consensus in the need for a shift towards the use of organic fertilizers, the maintenance of vegetation in the edges of plots and the use of integrated pest control strategies. On the contrary, stakeholders have selected different tillage and soil cover practices that are consistent with the characteristics and problems of each cropping system. This study also identifies relevant strengths and drawbacks for the implementation of low-input agricultural practices in each crop and study area. While stakeholders find the identified low-impact farming practices as easy and not costly, suggesting a significant potential for their successful implementation, the results also point out at the reduced knowledge of the practical benefits of some farming practices and the need for improved technical advice to foster the adoption of others.
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Agostinelli, Sofia, Fabrizio Cumo, Meysam Majidi Nezhad, Giuseppe Orsini, and Giuseppe Piras. "Renewable Energy System Controlled by Open-Source Tools and Digital Twin Model: Zero Energy Port Area in Italy." Energies 15, no. 5 (March 1, 2022): 1817. http://dx.doi.org/10.3390/en15051817.
Abstract:
The present paper deals with an infrastructure digitization policy to optimize maintenance processes and energy efficiency to transform port areas to ZED (Zero Energy District). The Lazio Region started the process for all its ports in 2020. The Anzio port started and developed as a pilot project as it is a particularly representative sample for the Mediterranean Sea reality due to its geomorphological conformation. The study aimed to develop energy-saving procedures and strategies and integrate production systems from Renewable Energy Systems (RESs) for sustainable mobility. In the article, these strategies are described in detail and energy analysis is carried out, starting from the current state and demonstrating the potential energy self-sufficiency of the infrastructure. Finally, the investigation’s potential utilizing a Digital Twin (DT) of the area is highlighted. Furthermore, the BIM (Building Information Modeling) and GIS (Geographic Information System) combining possibility to maximize the energy efficiency measures beneficial impact are discussed.
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Kader, Adel A. "655 Role of Postharvest Storage in Meeting World Food Needs." HortScience 35, no. 3 (June 2000): 511B—511. http://dx.doi.org/10.21273/hortsci.35.3.511b.
Abstract:
Postharvest losses of horticultural perishables between the production and retail distribution sites are estimated to range from 2% to 23%, depending on the commodity, with an overall average of about 12% of what is shipped from U.S. production areas to domestic and export markets. Estimates of postharvest losses in developing countries are two to three times the U.S. estimates. Losses in dried grains, legumes, nuts, fruits, vegetables, and herbs and spices range from 1% to 10%, depending on their moisture content, temperature and relative humidity of transport and storage facilities, and protection against pathogens and insects. Reduction of these losses can increase food availability to the growing population, decrease the area needed for production, and conserve natural resources. Strategies for loss prevention include use of genotypes that have longer postharvest-life, use of an integrated crop management system that results in good keeping quality of the commodity, and use of the proper postharvest handling system that maintains quality and safety of the products. Biological (internal) causes of deterioration include respiration rate, ethylene production and action, rates of compositional changes, mechanical injuries, water loss, sprouting, physiological disorders, and pathological breakdown. The rate of biological deterioration depends on several environmental (external) factors, including temperature, relative humidity, air velocity, and concentrations of carbon dioxide, ethylene, and oxygen. Socioeconomic factors that contribute to postharvest losses include governmental regulations and policies, inadequate marketing and transportation systems, unavailability of needed tools and equipment, lack of information, and poor maintenance of facilities. Although minimizing postharvest losses of already produced food is more sustainable than increasing production to compensate for these losses, less than 5% of the funding of agricultural research is allocated to postharvest research areas. This situation must be changed to increase the role of postharvest loss reduction in meeting world food needs.
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Passegué, Emmanuelle. "Strategies for Genome Repair in Normal and Leukemic Stem Cells." Blood 118, no. 21 (November 18, 2011): SCI—41—SCI—41. http://dx.doi.org/10.1182/blood.v118.21.sci-41.sci-41.
Abstract:
Abstract SCI-41 Blood development is organized hierarchically, starting with a rare but well-defined population of hematopoietic stem cells (HSC) that give rise to a series of committed progenitors and mature cells with exclusive functional and immunophenotypic properties. HSC are the only cells within the hematopoietic system that self-renew for life, whereas other hematopoietic cells are short-lived and committed to the transient production of mature blood cells. Under steady-state conditions, HSC are a largely quiescent, slowly cycling cell population that, in response to environmental cues, is capable of dramatic expansion and contraction to ensure proper homeostatic replacement of all blood cells. While considerable work has deciphered the molecular networks controlling HSC activity, still little is known about how these mechanisms are integrated at the cellular level to ensure life-long maintenance of a functional HSC compartment. HSC reside in hypoxic niches in the bone marrow microenvironment, and are mostly kept quiescent in order to minimize stress and the potential for damage associated with cellular respiration and cell division. Recently, we have shown that HSC can also engage specialized response mechanisms that protect them from the killing effect of environmental stresses such as ionizing radiation (IR). We demonstrated that long-lived HSC, in contrast to short-lived myeloid progenitors, have enhanced expression of pro-survival members of the bcl2 gene family and robust induction of p53-mediated DNA damage response, which ensures their specific survival and repair following IR exposure. We reasoned that HSC have other unique protective features, which allow them to contend with a variety of cellular insults and damaged cellular components while maintaining their lifelong functionality and genomic integrity. We will present some of our recent findings on the fundamental mechanisms of stress-response that preserve HSC fitness during periods of metabolic stress, and allow for survival and repair following environmental stress associated with DNA damaging agents. It is now clear that oncogenic insults in diseases such as myeloproliferative neoplasms (MPN) can transform HSC and dramatically alter their biological functions leading to the emergence of leukemia-initiating stem cells (LSC), which are left untouched by most current therapies and can thereby mediate disease relapse. We will also discuss how transformed HSC may take advantage of some deregulated features of these normal stress-response mechanisms to escape therapeutic killing. Disclosures: No relevant conflicts of interest to declare.
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Shin Ru Yau, Jamaludin Jalani, Amirul Syafiq Sadun, Sujana Mohd Rejab, and Johannes John. "Development of an Aquaponics Farming Technology System Using Arduino Based on Internet of Things." Journal of Advanced Research in Applied Sciences and Engineering Technology 45, no. 2 (May 24, 2024): 11–24. http://dx.doi.org/10.37934/araset.45.2.1124.
Abstract:
Aquaponics employs diverse biological and ecological strategies, integrating the cultivation of agricultural prawns and plants. A fundamental requirement for successful aquaponics systems is a reliable water source to ensure the stability and adequacy of essential nutrients for prawn and plant production. Managing an aquaponics system effectively necessitates the maintenance of factors such as pH level, water level, water temperature, and dissolved oxygen level. This paper addresses the challenges of aquaponics management by introducing a technology monitoring system based on an Arduino controller and Internet of Things (IoT). The Arduino IDE software facilitates interaction with various input sensors, output devices, and hardware components. The study evaluates four different sensors – dissolved oxygen, temperature, pH, and ultrasonic – and employs the ESP 8266-ESP01 Wi-Fi Module for IoT applications. The main finding of this research highlights the reliability of the proposed aquaponics farming technology monitoring system. The integrated Arduino-based IoT solution effectively monitors critical parameters, including pH, water level, water temperature, and dissolved oxygen level. By continually updating data, the system proves instrumental in enhancing productivity and streamlining management practices for agricultural prawns and plant cultivation in aquaponics. This innovation addresses the pressing need for efficient monitoring and management in aquaponics systems.
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Kamala Aliyeva, Rashid Jafarov, Kamala Aliyeva, Rashid Jafarov. "SAFETY CONTROL SYSTEMS FOR ETHYLENE PRODUCTION." PAHTEI-Procedings of Azerbaijan High Technical Educational Institutions 35, no. 12 (December 8, 2023): 206–13. http://dx.doi.org/10.36962/pahtei35122023-206.
Abstract:
Ethylene production is a cornerstone of the petrochemical industry, with a global demand that continues to rise. Ensuring efficient, safe, and environmentally responsible ethylene production processes is paramount. Ethylene production control systems, encompassing a range of technologies and strategies, play a pivotal role in achieving these objectives. This abstract provides a concise overview of key aspects of ethylene production control systems, their challenges, and their critical importance. Ethylene production control systems serve as the backbone of modern ethylene plants, orchestrating complex operations to meet production targets while maintaining product quality. These systems integrate advanced technologies such as distributed control systems (DCS), safety instrumented systems (SIS), and process optimization tools to manage variables like temperature, pressure, flow rates, and feedstock composition. Efficiency and yield optimization are central objectives in ethylene production control. Control strategies are designed to maximize product output while minimizing energy consumption and raw material wastage. Additionally, safety control systems are a crucial component, mitigating risks associated with the highly flammable nature of ethylene and ensuring the well-being of personnel and environmental protection. Challenges in ethylene production control systems include managing the variability in feedstock quality, adapting to changing market demands, and adhering to stringent environmental regulations. As feedstock composition can fluctuate, control systems must continually adjust to maintain product quality and consistency. The emergence of Artificial Intelligence (AI) has brought new dimensions to ethylene production control. AI-driven predictive maintenance, anomaly detection, and process optimization are being explored to enhance operational efficiency and reduce downtime. In summary, ethylene production control systems are pivotal in sustaining the global supply of ethylene, a vital chemical compound. Their roles extend beyond production to safety and environmental compliance, making them indispensable components in the petrochemical industry's pursuit of efficiency and sustainability. To meet growing demands and address evolving challenges, the integration of advanced technologies, such as AI, holds promise for the future of ethylene production control systems. A strong safety culture is the backbone of safety control in ethylene production. This involves fostering a work environment where safety is paramount, and all personnel are equipped with the knowledge, awareness, and commitment to safety objectives. Clear communication and continuous training ensure that safety becomes an integral part of the organizational DNA. These systems represent a synergy of hardware, software, and operational protocols meticulously designed to monitor, detect, and respond to anomalous conditions, with a primary objective of averting incidents that could culminate in equipment damage, environmental harm, or harm to personnel. Keywords: Ethylene Production, Control Systems, Petrochemical Industry, Efficiency, Safety, Environmental Responsibility.
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Thoben, Klaus-Dieter, Stefan Wiesner, and Thorsten Wuest. "“Industrie 4.0” and Smart Manufacturing – A Review of Research Issues and Application Examples." International Journal of Automation Technology 11, no. 1 (January 5, 2017): 4–16. http://dx.doi.org/10.20965/ijat.2017.p0004.
Abstract:
A fourth industrial revolution is occurring in global manufacturing. It is based on the introduction ofInternet of thingsandservitizationconcepts into manufacturing companies, leading to vertically and horizontally integrated production systems. The resultingsmart factoriesare able to fulfill dynamic customer demands with high variability in small lot sizes while integrating human ingenuity and automation. To support the manufacturing industry in this conversion process and enhance global competitiveness, policy makers in several countries have established research and technology transfer schemes. Most prominently, Germany has enacted itsIndustrie 4.0program, which is increasingly affecting European policy, while the United States focuses onsmart manufacturing. Other industrial nations have established their own programs on smart manufacturing, notably Japan and Korea. This shows that manufacturing intelligence has become a crucial topic for researchers and industries worldwide. The main object of these activities are the so-called cyber-physical systems (CPS): physical entities (e.g., machines, vehicles, and work pieces), which are equipped with technologies such as RFIDs, sensors, microprocessors, telematics or complete embedded systems. They are characterized by being able to collect data of themselves and their environment, process and evaluate these data, connect and communicate with other systems, and initiate actions. In addition, CPS enabled new services that can replace traditional business models based solely on product sales. The objective of this paper is to provide an overview of the Industrie 4.0 and smart manufacturing programs, analyze the application potential of CPS starting from product design through production and logistics up to maintenance and exploitation (e.g., recycling), and identify current and future research issues. Besides the technological perspective, the paper also takes into account the economic side considering the new business strategies and models available.
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Oyeneyin, Babs Mufutau, Said Mufarji, and Donald Igwegbu. "Innovative Solutions to Fines Management in High Permeability Sands." Advanced Materials Research 18-19 (June 2007): 287–92. http://dx.doi.org/10.4028/www.scientific.net/amr.18-19.287.
Abstract:
Formation impairment due to fines migration during drilling and production continues to cause injectivity or inflow reduction. In high permeability sandstone formations or sandpacks, fines migration pose major concerns in the oil industry as it leads to reduction in oil/gas production. The problem is further enhanced in mature reservoirs where increased water ingress and multiphase production aggravate the fines mobilisation and migration. Proper fines management can optimise productivity, safeguard facilities and reduce well maintenance cost. Today’s core flood tests as part of risk assessment limit tests to single phase or at best two-phase oil/water flow. This paper presents the unique technique adopted to analyse fines migration mechanisms in a true multiphase environment. The technique integrates CFD and 3-D reservoir simulation concepts to define and quantify the effects of different operating conditions on discretised reservoir blocks. From the results obtained detailed mapping of prevailing pore blocking mechanisms and corresponding impairment profiles are presented as functions of operating conditions and completion strategies. The paper introduces a parallel experimental programme being initiated at The Robert Gordon University(RGU) to validate the simulation predictions. The paper is concluded with suggestions (supported by flow efficiency case studies) on contemporary innovations in fines management ranging from a radical use of expandable screens (ESSTM) or expandable slotted liners (ESLTM) or the intelligent VSSTM Screen to specialist application of glass or ceramic beads for pore diameter control and near wellbore reinforcement to initiate secondary filtration
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Hadžić, Neven, Viktor Ložar, Tihomir Opetuk, and Robert Keser. "Towards Digital Twinning of Fabrication Lines in Shipyards." Journal of Marine Science and Engineering 11, no. 5 (May 15, 2023): 1053. http://dx.doi.org/10.3390/jmse11051053.
Abstract:
The digital twinning concept stands as a remarkable opportunity to integrate sophisticated mathematical models within the context of existing manufacturing systems. Such models may provide shipyard management with predictive analytics, improving the final results at the strategic, tactical, and operational levels. Therefore, the possibility of integrating the Markovian-framework-based finite-state method into the context of ship production is presented in this study, including its outline, digital thread, and factory-floor data reliance. First, the predictive analytics problem is addressed by the finite-state method in the case of the shipyard’s fabrication line, and the obtained results are validated afterward using a numerical model through discrete-event theory. The predictive analytics indicate an almost ideal balancing of the fabrication line, except for the buffers storing stiffeners before the coat-dying and marking operations. In addition, the improvability analysis of the shipyard’s fabrication lines extended the scope of the predictive analytics using bottleneck identification and affecting the key performance indicators through a digital thread, as well as by improved maintenance strategies.
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Barimah, Atuahene, Octavian Niculita, Don McGlinchey, and Babakalli Alkali. "Optimal Service Points (OSP) for PHM Enabled Condition Based Maintenance for Oil and Gas Applications." PHM Society European Conference 6, no. 1 (June 29, 2021): 15. http://dx.doi.org/10.36001/phme.2021.v6i1.2850.
Abstract:
In recent times, the oil and Gas industry has faced many challenges resulting from a tightening climate policy environment on oil and gas exploration, as well as the increasing risk of oversupply due to new discoveries globally. This has given stakeholders in the industry an incentive to integrate new technologies to optimize the operational efficiency of their assets, leading to the optimal recovery of hydrocarbons especially in marginal fields. Various Original Equipment Manufacturers (OEM) now provide different service offerings using data driven methods to provide condition monitoring of assets for oil and gas operators. However, a significant part of the value proposition by OEMs in their service delivery focuses on value generated at the component level with a reduction in asset downtime. This limits the broad economic benefits that a condition-based approach can provide, at the enterprise level.
Therefore, the purpose of this paper is to develop a cost benefit analysis framework for assessing the implementation of condition and performance monitoring of oil and gas assets used in surface applications. The framework utilizes a combined technical-economic approach to determine a minimum predictive requirement for the implementation of condition-based principles to maintenance of assets in a hydrocarbon project from first oil to abandonment. This financial analysis framework uses a condition monitoring approach based on prognostics as well as a regression approach for fault detection and system performance. The paper will present a case study to evaluate the costs and benefits associated with implementing a condition-based maintenance approach for a set of valves in a Christmas tree subsystem, as part of a typical onshore production system.
The framework illustrated using the case study compares a constant failure rate Time-Based approach to the PHM enabled condition-based maintenance. The results demonstrate that a prognostic enabled system can provide commercial benefits at the component level for a Condition Based Maintenance strategy but not necessarily at the enterprise level for an oil and gas project. The cumulative reduction in downtime at the component level over a project lifecycle offsetting the present value of the total cost of integrating a PHM enabled system into the overall maintenance strategy creates the ideal situation for commercial viability.
However, the commercial viability of the PHM integration would depend on the accuracy of predicting failure events and monitoring asset degradation by the PHM enabled system which ultimately defines the performance of the condition-based maintenance approach. The accuracy level of asset failure therefore provides OEMs with a benchmark for executing their condition-based maintenance services with a minimum performance threshold.
Secondly, an enterprise level financial viability, as well as OEM profitability in the implementation of a condition-based maintenance approach, requires an Optimal Service Point (OSP) which is a function of the minimum predictive requirement of the PHM system. The utility that the OSP provides is that, it gives the minimum value of the framework’s decision criteria that an operator can use a basis for incorporating a condition-based approach in its maintenance strategy. It also provides the maximum Annual Service Fee (ASF) derived from the cumulative OEM NPV needed for structuring and pricing servitization agreements with operators.
This OSP cost benefit analysis approach ultimately provides OEMs and operators with a practical guide in the provision as well as the adoption of condition-based maintenance strategies respectively. It balances the risk of PHM integration by operators with a minimum PHM system performance threshold required for commercial viability for project lifecycle.
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Guerrero, Laura, Alberto Paradela, and Fernando J. Corrales. "Targeted Proteomics for Monitoring One-Carbon Metabolism in Liver Diseases." Metabolites 12, no. 9 (August 24, 2022): 779. http://dx.doi.org/10.3390/metabo12090779.
Abstract:
Liver diseases cause approximately 2 million deaths per year worldwide and had an increasing incidence during the last decade. Risk factors for liver diseases include alcohol consumption, obesity, diabetes, the intake of hepatotoxic substances like aflatoxin, viral infection, and genetic determinants. Liver cancer is the sixth most prevalent cancer and the third in mortality (second in males). The low survival rate (less than 20% in 5 years) is partially explained by the late diagnosis, which remarks the need for new early molecular biomarkers. One-carbon metabolism integrates folate and methionine cycles and participates in essential cell processes such as redox homeostasis maintenance and the regulation of methylation reactions through the production of intermediate metabolites such as cysteine and S-Adenosylmethionine. One-carbon metabolism has a tissue specific configuration, and in the liver, the participating enzymes are abundantly expressed—a requirement to maintain hepatocyte differentiation. Targeted proteomics studies have revealed significant differences in hepatocellular carcinoma and cirrhosis, suggesting that monitoring one-carbon metabolism enzymes can be useful for stratification of liver disease patients and to develop precision medicine strategies for their clinical management. Here, reprogramming of one-carbon metabolism in liver diseases is described and the role of mass spectrometry to follow-up these alterations is discussed.
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Chang, Woo-Suk, Martijn van de Mortel, Lindsey Nielsen, Gabriela Nino de Guzman, Xiaohong Li, and Larry J. Halverson. "Alginate Production by Pseudomonas putida Creates a Hydrated Microenvironment and Contributes to Biofilm Architecture and Stress Tolerance under Water-Limiting Conditions." Journal of Bacteriology 189, no. 22 (June 29, 2007): 8290–99. http://dx.doi.org/10.1128/jb.00727-07.
Abstract:
ABSTRACT Biofilms exist in a variety of habitats that are routinely or periodically not saturated with water, and residents must integrate cues on water abundance (matric stress) or osmolarity (solute stress) into lifestyle strategies. Here we examine this hypothesis by assessing the extent to which alginate production by Pseudomonas putida strain mt-2 and by other fluorescent pseudomonads occurs in response to water limitations and how the presence of alginate in turn influences biofilm development and stress tolerance. Total exopolysaccharide (EPS) and alginate production increased with increasing matric, but not solute, stress severity, and alginate was a significant component, but not the major component, of EPS. Alginate influenced biofilm architecture, resulting in biofilms that were taller, covered less surface area, and had a thicker EPS layer at the air interface than those formed by an mt-2 algD mutant under water-limiting conditions, properties that could contribute to less evaporative water loss. We examined this possibility and show that alginate reduces the extent of water loss from biofilm residents by using a biosensor to quantify the water potential of individual cells and by measuring the extent of dehydration-mediated changes in fatty acid composition following a matric or solute stress shock. Alginate deficiency decreased survival of desiccation not only by P. putida but also by Pseudomonas aeruginosa PAO1 and Pseudomonas syringae pv. syringae B728a. Our findings suggest that in response to water-limiting conditions, pseudomonads produce alginate, which influences biofilm development and EPS physiochemical properties. Collectively these responses may facilitate the maintenance of a hydrated microenvironment, protecting residents from desiccation stress and increasing survival.
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BRANDOLESE, M., M. FRANCI, and A. POZZETTI*. "Production and maintenance integrated planning." International Journal of Production Research 34, no. 7 (July 1996): 2059–75. http://dx.doi.org/10.1080/00207549608905013.