Academic literature on the topic 'Enhanced production planning and scheduling method'
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Journal articles on the topic "Enhanced production planning and scheduling method"
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Yadav, Deepika, R. Naresh, V. K. Sarda, Veena Sharma, and Paras Mani Goel. "Short Term Hydro Thermal Scheduling using Lambda Gamma Iteration Method." Hydro Nepal: Journal of Water, Energy and Environment 9 (November 20, 2012): 20–26. http://dx.doi.org/10.3126/hn.v9i0.7068.
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Abstract: Short term hydrothermal scheduling (STHTS) is a daily planning proposition in power system operation. The main purpose of hydro thermal generation scheduling is to minimize the overall operation cost and to satisfy the given constraints by optimally scheduling the power outputs of all hydro and thermal units under study periods, given electrical load and limited water resource. This paper presents the lambda-gamma iteration method for fixed head hydro-thermal problems. Also, hydro power input-output model with constant head has been developed for Sewa Hydro Electric Power Plant by using the curve fitting techniques by least square method in MATLAB 7.9 version software. From scheduling results, operational decisions can be made for the best performance under changing conditions of load, head, unit availability and other important constraints. Furthermore, these decisions may be used as an effective input to the on-line decision support system for real-time operation of reservoir systems in availability based tariff (ABT) context that results in increased power production and enhanced revenue earnings in the process of planning and management of a water resources project.DOI: http://dx.doi.org/10.3126/hn.v9i0.7068 Hydro Nepal Vol.9 July 2011 20-26
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Chen, Chen, Thomas Phang, and Lee Kong Tiong. "Planning semi-automated precast production using GA." International Journal of Industrialized Construction 1, no. 1 (July 27, 2020): 48–63. http://dx.doi.org/10.29173/ijic215.
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Although fully automated production systems have been developed and used in some industry leaders, most of the precast factories have yet to be developed to that stage. Semi-automated production lines are still popularly used. As production productivity can be maximally improved within the physical constraints by applying a sound production plan, this paper tends to propose a production planning method for the semi-automated precast production line using genetic algorithm (GA). The production planning problem is formulated into a flexible job shop scheduling problem (FJSSP) model and solved using an integrated approach. Thanks to the development of new technologies such as building information modeling (BIM) platform and radio frequency identification (RFID), implementation of a just-in-time (JIT) schedule in the semi-automated precast production line becomes practicable on the grounds of risk mitigation and enhanced demand forecast capability. In this regard, the optimization objectives are minimum makespan, station idle time, and earliness and tardiness penalty. An example was applied to validate the integrated GA approach. The experimental results show that the developed GA approach is a useful and effective method for solving the problem that it can return high-quality solutions. This paper thus contributes to the body of knowledge new precast production planning method for practical usage.
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A, Sadhu Adwitya, M. Agung Wibowo, and Syafrudin Syafrudin. "ANALISA PERBEDAAN LPS (LAST PLANNER SYSTEM) DENGAN SISTEM KONVENSIONAL SERTA PENGARUH CPM DAN BAR CHART PADA LPS." Wahana Teknik Sipil: Jurnal Pengembangan Teknik Sipil 25, no. 1 (June 1, 2020): 66. http://dx.doi.org/10.32497/wahanats.v25i1.1919.
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Two generally method / tools which used in project construction management system in Indonesia and the name are CPM (critical part method) or network planning and Bar Chart. The system used general method called conventional management system. Nowadays, was appeared one of a new system which seldom to applied in Indonesia, it is called LPS (last planner system). This research, researcher doing analyzed the differences between LPS and conventional management system. The result which obtained in this research are LPS dominated to accentuates team collaborative in the scheduling planning, resource allocation, control and enhance of work productivity, issue solved, regularly scheduling planning. Conventional management system more rely on the way CPM and Bar Chart working in that system with project manager decision. Planning of the schedule in this system doing by scheduling team. rescheduling in this system is not routine, it’s depend by construction progress. CPM and Bar Chart methods is influence on LPS. The both of methods was appeared in master scheduling, look a head scheduling, weekly work planning, shielding production, workable back log, percent plan completed and reliable promise process
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Liu, Lilan, Kai Guo, Zenggui Gao, Jiaying Li, and Jiachen Sun. "Digital Twin-Driven Adaptive Scheduling for Flexible Job Shops." Sustainability 14, no. 9 (April 28, 2022): 5340. http://dx.doi.org/10.3390/su14095340.
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The traditional shop floor scheduling problem mainly focuses on the static environment, which is unrealistic in actual production. To solve this problem, this paper proposes a digital twin-driven shop floor adaptive scheduling method. Firstly, a digital twin model of the actual production line is established to monitor the operation of the actual production line in real time and provide a real-time data source for subsequent scheduling; secondly, to address the problem that the solution quality and efficiency of the traditional genetic algorithm cannot meet the actual production demand, the key parameters in the genetic algorithm are dynamically adjusted using a reinforcement learning enhanced genetic algorithm to improve the solution efficiency and quality. Finally, the digital twin system captures dynamic events and issues warnings when dynamic events occur in the actual production process, and adaptively optimizes the initial scheduling scheme. The effectiveness of the proposed method is verified through the construction of the digital twin system, extensive dynamic scheduling experiments, and validation in a laboratory environment. It achieves real-time monitoring of the scheduling environment, accurately captures abnormal events in the production process, and combines with the scheduling algorithm to effectively solve a key problem in smart manufacturing.
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Huang, Rong-yau, and Kuo-Shun Sun. "An optimization model for workgroup-based repetitive scheduling." Canadian Journal of Civil Engineering 33, no. 9 (September 1, 2006): 1172–94. http://dx.doi.org/10.1139/l06-057.
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Most construction repetitive scheduling methods developed so far have been based on the premise that a repetitive project is comprised of many identical production units. Recently, Huang and Sun (2005) developed a workgroup-based repetitive scheduling method that takes the view that a repetitive construction project consists of repetitive activities of workgroups. Instead of repetitive production units, workgroups with repetitive or similar activities in a repetitive project are identified and employed in the planning and scheduling. The workgroup-based approach adds more flexibility to the planning and scheduling of repetitive construction projects and enhances the effectiveness of repetitive scheduling. This work builds on previous research and develops an optimization model for workgroup-based repetitive scheduling. A genetic algorithm (GA) is employed in model formation for finding the optimal or near-optimal solution. A chromosome representation, as well as specification of other parameters for GA analysis, is described in the paper. Two sample case studies, one simple and one sewer system project, are used for model validation and demonstration. Results and findings are reported.Key words: construction scheduling, repetitive project, workgroup, optimization, genetic algorithm.
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Kolomytseva, O. V., Т. І. Burceva, and І. V. Hanzhala. "Optimization of enterprise industrial activity project analysis." Scientific Messenger of LNU of Veterinary Medicine and Biotechnologies 20, no. 86 (February 26, 2018): 88–91. http://dx.doi.org/10.15421/nvlvet8617.
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The article emphasizes the importance of the enterprise activity production management, the importance of new approaches to the production problems, the need to select such forms and management methods that enhance the efficient functioning of the enterprise. The complex system of production management, its input, output and internal parameters and conditions, the principles, methods and functions of management are described. It was emphasized on the importance of using project analysis in production management to identify, compare and justify alternative management decisions. The main components of management are considered, those are the basis of production activity project analysis optimization. It is indicated that such components are: resources, time and quality. So, the main goal of the project analysis of the enterprise's production activity is the management of resource efficiency, time management and quality. It has been shown that resource efficiency management is the implementation of certain types of work, in particular analysis as a method of production activity research, organization of decisions implementation, enterprises planning and control. The importance of works scheduling, controlling their execution schedules, and adjusting possibilities are emphasized. Planning of quality, quality assurance, quality control take an important place in the project analysis of company production activities. That is, ensuring the best possible use of resources, scheduling and controlling work scheduling, planning and quality control is the key to effective management of production activities. The importance of the information technologies introduction in the process of enterprise management, development and implementation of modern software for solving a basic managerial tasks complex of the industrial enterprise system are emphasized.
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Dai, Lili, He Lu, Dezheng Hua, Xinhua Liu, Hongming Chen, Adam Glowacz, Grzegorz Królczyk, and Zhixiong Li. "A Novel Production Scheduling Approach Based on Improved Hybrid Genetic Algorithm." Sustainability 14, no. 18 (September 19, 2022): 11747. http://dx.doi.org/10.3390/su141811747.
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Due to the complexity of the production shop in discrete manufacturing industry, the traditional genetic algorithm (GA) cannot solve the production scheduling problem well. In order to enhance the GA-based method to solve the production scheduling problem effectively, the simulated annealing algorithm (SAA) is used to develop an improved hybrid genetic algorithm. Firstly, the crossover probability and mutation probability of the genetic operation are adjusted, and the elite replacement operation is adopted for simulated annealing operator. Then, a mutation method is used for the comparison and replacement of the genetic operations to obtain the optimal value of the current state. Lastly, the proposed hybrid genetic algorithm is compared with several scheduling algorithms, and the superiority and efficiency of the proposed method are verified in solving the production scheduling.
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do Amaral Burghi, Ana Carolina, Tobias Hirsch, and Robert Pitz-Paal. "Artificial Learning Dispatch Planning for Flexible Renewable-Energy Systems." Energies 13, no. 6 (March 23, 2020): 1517. http://dx.doi.org/10.3390/en13061517.
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Environmental and economic needs drive the increased penetration of intermittent renewable energy in electricity grids, enhancing uncertainty in the prediction of market conditions and network constraints. Thereafter, the importance of energy systems with flexible dispatch is reinforced, ensuring energy storage as an essential asset for these systems to be able to balance production and demand. In order to do so, such systems should participate in wholesale energy markets, enabling competition among all players, including conventional power plants. Consequently, an effective dispatch schedule considering market and resource uncertainties is crucial. In this context, an innovative dispatch optimization strategy for schedule planning of renewable systems with storage is presented. Based on an optimization algorithm combined with a machine-learning approach, the proposed method develops a financial optimal schedule with the incorporation of uncertainty information. Simulations performed with a concentrated solar power plant model following the proposed optimization strategy demonstrate promising financial improvement with a dynamic and intuitive dispatch planning method (up to 4% of improvement in comparison to an approach that does not consider uncertainties), emphasizing the importance of uncertainty treatment on the enhanced quality of renewable systems scheduling.
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Jang, YeEun, Jae-Man Lee, and JeongWook Son. "Development and Application of an Integrated Management System for Off-Site Construction Projects." Buildings 12, no. 7 (July 21, 2022): 1063. http://dx.doi.org/10.3390/buildings12071063.
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The off-site construction (OSC) method has attracted the interest of experts to resolve productivity stagnation and lack of skilled workforce and to reduce greenhouse gas emissions in the construction industry. Due to the unique characteristics of OSC projects, wherein building elements are produced in a factory, transported, and installed in the field, a management approach that differs from the management techniques of previous construction projects is required. Accordingly, with this study, we examined the characteristics of OSC projects and derived key management items through literature review, case analysis, and expert meetings to develop an integrated management system for OSC projects (OSC-IMS). The proposed system, OSC-IMS, integrates the entire supply chain of the OSC project. It includes the following functions: drawing management, scheduling and planning, site installation planning, production planning, production monitoring, shipping and transportation, delivery and inspection, site installation monitoring, and progress payment management. To verify the applicability and effectiveness of OSC-IMS, it was implemented in four projects. The application of the system to the case studies demonstrated the improvements in work efficiency and accuracy and decreased waste time in every work step. The findings indicate that the system can enhance project performance. This study contributes to the identification of the features and key elements of OSC management such that these factors can be linked with managing system development. This work describes the overall effect of the proposed system on real projects.
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Suanpang, Pannee, Pitchaya Jamjuntr, Kittisak Jermsittiparsert, and Phuripoj Kaewyong. "Tourism Service Scheduling in Smart City Based on Hybrid Genetic Algorithm Simulated Annealing Algorithm." Sustainability 14, no. 23 (December 6, 2022): 16293. http://dx.doi.org/10.3390/su142316293.
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The disruptions in this era have caused a leap forward in information technology being applied in organizations to create a competitive advantage. In particular, we see this in tourism services, as they provide the best solution and prompt responses to create value in experiences and enhance the sustainability of tourism. Since scheduling is required in tourism service applications, it is regarded as a crucial topic in production management and combinatorial optimization. Since workshop scheduling difficulties are regarded as extremely difficult and complex, efforts to discover optimal or near-ideal solutions are vital. The aim of this study was to develop a hybrid genetic algorithm by combining a genetic algorithm and a simulated annealing algorithm with a gradient search method to the optimize complex processes involved in solving tourism service problems, as well as to compare the traditional genetic algorithms employed in smart city case studies in Thailand. A hybrid genetic algorithm was developed, and the results could assist in solving scheduling issues related to the sustainability of the tourism industry with the goal of lowering production requirements. An operation-based representation was employed to create workable schedules that can more effectively handle the given challenge. Additionally, a new knowledge-based operator was created within the context of function evaluation, which focuses on the features of the problem to utilize machine downtime to enhance the quality of the solution. To produce the offspring, a machine-based crossover with order-based precedence preservation was suggested. Additionally, a neighborhood search strategy based on simulated annealing was utilized to enhance the algorithm’s capacity for local exploitation, and to broaden its usability. Numerous examples were gathered from the Thailand Tourism Department to demonstrate the effectiveness and efficiency of the proposed approach. The proposed hybrid genetic algorithm’s computational results show good performance. We found that the hybrid genetic algorithm can effectively generate a satisfactory tourism service, and its performance is better than that of the genetic algorithm.
Dissertations / Theses on the topic "Enhanced production planning and scheduling method"
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Waterer, Hamish. "Polyhedral approaches to scheduling shutdowns in production planning." Diss., Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/23362.
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Zhang, Sicheng, and 张思成. "An enhanced ant colony optimization approach for integrating process planning and scheduling based on multi-agent system." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B49618064.
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Process planning and scheduling are two important manufacturing planning functions which are traditionally performed separately and sequentially. Usually, the process plan has to be prepared first before scheduling can be performed. However, due to the complexity of manufacturing systems and the uncertainties and dynamical changes encountered in practical production, process plans and schedules may easily become inefficient or even infeasible. The concept of integrated process planning and scheduling (IPPS) has been proposed to improve the efficiency, effectiveness as well as flexibility of the respective process plan and schedule. By combining both functions together, the process plan for producing a part could be dynamically arranged in accordance with the availability of manufacturing resources and current status of the system, and its operations’ schedule could be determined concurrently. Therefore, IPPS could provide an essential solution to the dynamic process planning and scheduling problem in the practical manufacturing environment. Nevertheless, process planning and scheduling are both complex functions that depend on many factors and flexibilities in the manufacturing system, IPPS is therefore a highly complex NP-hard problem.
Ant colony optimization (ACO) is a widely applied meta-heuristics, which has been proved capable of generating feasible solutions for IPPS problem in previous research. However, due to the nature of the ACO algorithm, the performance is not that favourable compared with other heuristics. This thesis presents an enhanced ACO approach for IPPS. The weaknesses and limitations of standard ACO algorithm are identified and corresponding modifications are proposed to deal with the drawbacks and improve the performance of the algorithm. The mechanism is implemented on a specifically designed multi-agent system (MAS) framework in which ants are assigned as software agents to generate solutions. First of all, the manufacturing processes of the parts are graphically formulated as a disjunctive AND/OR graph. In applying the ACO algorithm, ants are deployed to find a path on the disjunctive graph. Such an ant route indicates a corresponding solution with associated operations scheduled by the sequence of ant visit.
The ACO in this thesis is enhanced with the novel node selection heuristic and pheromone update strategy. With the node selection heuristic, pheromone is deposited on the nodes as well as edges on the ant path. This is contrast to the conventional ACO algorithm that pheromone is only deposited on edges. In addition, a more reasonable strategy based on “earliest completion time” of operations are used to determine the heuristic desirability of ants, instead of the “greedy” strategy used in standard ACO, which is based on the “shortest processing time”.
The approach is evaluated by a comprehensive set of problems with a full set of flexibilities, while multiple performance measurements are considered, including makespan, mean flow time, average machine utilization and CPU time, among which makespan is the major criterion. The results are compared with other approaches and encouraging improvements on solution quality could be observed.published_or_final_version
Industrial and Manufacturing Systems Engineering
Master
Master of Philosophy
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Tan, Wei Yung. "Developing an improved production planning method for a machining cell using an active-nondelay hybrid scheduling technique." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62509.
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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2010.Cataloged from PDF version of thesis.
Includes bibliographical references (p. 61).
We examine the production planning and scheduling of a job shop environment of a machining cell in a manufacturing facility. This thesis addresses the scheduling limitations in the machining cell that can result in unbalanced loading and idling of machines as well as longer manufacturing lead times. A method was developed to use Microsoft Project 2007 as a tool to enable dynamic production planning and control in the shop floor. In order for a proper model to be set up, relevant observations were made and required data collected. In Microsoft Project, work orders were scheduled using an active-nondelay hybrid scheduling technique. This technique resulted in short makespan with high machine utilization, low average waiting time, and low WIP. Simulated manufacturing lead times were also reduced to an average of 1.5 weeks compared to current manufacturing lead times of about 3 - 4 weeks, showing significant improvement. Further observations revealed that machine utilizations could not be balanced further than what was achieved without changing the machine routings of the components. Alternatively, if process times on the bottleneck machine could be reduced, more balanced loads could be achieved as well. If recommendations to the company were implemented, we expect that there will be an increase in the overall machining cell output capacity and a reduction in overall manufacturing lead times and WIP levels due to shorter processing times, higher machine utilizations, and better production planning.
by Wei Yung Tan.
M.Eng.
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Wu, Zuobao. "Multi-agent workload control and flexible job shop scheduling." [Tampa, Fla.] : University of South Florida, 2005. http://purl.fcla.edu/fcla/etd/SFE0001193.
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Ponz, Tienda José Luis. "GRCPSP Robusto basado en Producción para Proyectos de Edificación y Construcción." Doctoral thesis, Editorial Universitat Politècnica de València, 2010. http://hdl.handle.net/10251/8540.
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Esta Tesis doctoral representa una nueva formulación del problema del GRCPSP (Generalized Resource-Constrained Project Scheduling Problem) mediante grafos PDM (Precedence Diagramming Method) con fragmentación en entornos realistas, donde las tareas son diferenciadas entre productivas y no productivas y las dependencias entre ellas no se limitan a los ya clásicos valores de dependencia, sino que se incorpora un nuevo concepto de relación de producción, apareciendo relaciones basadas en un cierto nivel de producción necesario de otra tarea para poder comenzar, o cierta producción que quedará pendiente de finalizar una vez finalizada la tarea precedente.
Este nuevo enfoque del problema basado en procesos productivos, no solo elimina las paradojas causadas por las tareas críticas inversas o críticas perversas, sino que nos permite aplicar conceptos tradicionales de la planificación de la producción como es la productividad variable ocasionada por el aprendizaje con las repercusiones que esto produce en las relaciones basadas en producción. Además se analizan las naturalezas de los recursos intervinientes en el proyecto, reformulando los costes asociados a los mismos y su repercusión sobre el nuevo modelo propuesto, permitiendo la aplicación de algoritmos de optimización TCTP (Time Cost Trade-Off Problem) que hasta ahora era inviable.
Para finalizar se incorpora la borrosidad a los valores intervinientes en el proyecto presentando la formulación de un modelo robusto de planificación de la producción basada en grafos PDM que sirve de punto de partida a la resolución del GRCPSP en entornos realistas.Ponz Tienda, JL. (2010). GRCPSP Robusto basado en Producción para Proyectos de Edificación y Construcción [Tesis doctoral]. Editorial Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/8540
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CHANG, WAN-PING, and 張琬萍. "Based on the Critical Path Method used in production planning and scheduling for aerospace industries." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/04889308970904079991.
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碩士逢甲大學
工業工程與系統管理學研究所
99
In addition to limited production schedule length required to put more costs and risks, we compared to other manufacturing for the aerospace industry company are harder. We need to face the challenge of international supplier on time delivery and flexibility . With the rising cost , raw material shortages and the challenge of fill material to raise with the leading of aerospace industry company, living in Taiwan is located at the bottom of the aerospace industry to achieve delivery on time, meet customer needs, flexibility in production planning and scheduling more and more strain important. This study investigated the production planning schedule facing a shortage of materials, such as machine failures ... fluctuations, the use of critical path analysis critical of the process of commodity production process, after the definition of scheduling and through the programming logic, rapid re-arrange the production planning and scheduling , so that production would be adjusted delivery schedule and plan to fully communicate and coordinate with customers, manufacturers can be reached on time delivery and customer service satisfaction of a win-win situation.
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Vos, Koen. "Medium term planning with Evolution : Comparison with current method at LKAB Svappavaara." Thesis, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-68811.
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This thesis looks at the medium term mine planning process and tools in the Leveäniemi open pit mine operated by LKAB Svappavaara. The current planning process uses software, Chronos, which was previously used successfully to perform medium term planning for the Gruvberget mine, which is also operated by LKAB Svappavaara. Because of scale and geological differences this method is much less successful when applied in Leveäniemi, which has created the need to investigate other possible methods. Since the Maptek scheduling solution Evolution is already available for use, this is the first candidate to be investigated. This report uses a case study approach, where both methods are evaluated in their intended operating environment. Results obtained indicate that Evolution could be a viable replacement to conduct medium term planning. Testing indicates that Evolution is able to produce a schedule satisfying the planning criteria to the desired standard. The fact that Evolution is able to produce schedules with longer time horizons without having to sacrifice detail means that it could also improve the integration between long and medium term planning. Besides replacing Chronos it was demonstrated that there are also some things that can be done using Evolution that are not possible using the Chronos module. From what has been demonstrated it can be concluded that there is a possibility to achieve significant benefit using these extra functions.
Books on the topic "Enhanced production planning and scheduling method"
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Crowston, Wallace B. S., and Gerald Luther Thompson. Decision CPM: A Method for Simultaneous Planning, Scheduling and Control of Projects. Creative Media Partners, LLC, 2018.
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East, William. Critical Path Method Tutor for Construction Planning and Scheduling. McGraw-Hill Education, 2015.
Find full textBook chapters on the topic "Enhanced production planning and scheduling method"
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Morinaga, Eiji, Hiroki Joko, Hidefumi Wakamatsu, and Eiji Arai. "A Computer-Aided Process Planning Method Considering Production Scheduling." In Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth, 348–55. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22756-6_43.
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Little, David, J. Keith Porter, Matthew Peck, and Ralph Rollins. "Development of planning and scheduling reference models using the aris method & toolset." In Global Production Management, 318–23. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-0-387-35569-6_39.
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Morinaga, Eiji, Nattapoom Charoenlarpkul, Hidefumi Wakamatsu, and Eiji Arai. "An Improved Computer-Aided Process Planning Method Considering Production Scheduling." In IFIP Advances in Information and Communication Technology, 178–86. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-51133-7_22.
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Shenavar, M., M. Ataee-pour, and M. Rahmanpour. "Production Scheduling in Sublevel Caving Method with the Objective of NPV Maximization." In Proceedings of the 27th International Symposium on Mine Planning and Equipment Selection - MPES 2018, 153–63. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-99220-4_12.
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Moosavi, Ehsan. "Modeling Long-Term Production Scheduling Problem and Its Solution Using a Bat Meta-heuristic Method." In Proceedings of the 28th International Symposium on Mine Planning and Equipment Selection - MPES 2019, 111–19. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33954-8_13.
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Wang, Chao, Tianxiang Chen, and Zhenghao Li. "Method for the Production Planning and Scheduling of a Flexible Manufacturing Plant Based on the Bees Algorithm." In Springer Series in Advanced Manufacturing, 211–27. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14537-7_13.
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Konrad, Mirjam, Dana Saez, and Martin Trautz. "Integration of Algorithm-Based Optimization into the Design Process of Industrial Buildings: A Case Study." In Proceedings of the 2021 DigitalFUTURES, 179–88. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5983-6_17.
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AbstractAlgorithm-based optimization is widely applied in many fields like industrial production, resulting in state-of-the-art workflows in the production process optimization. This project takes the cultural lag of conventional industrial architecture design as a motivation to investigate the implementation of algorithm-based optimization into traditional design processes. We argue that an enhanced way of architectural decision-making is possible. Current approaches use a translation of the whole design problem into a single, overly complicated optimization system. Contrary to that, this paper presents a novel workflow that defines precise design steps and applies optimizations only if suitable. Furthermore, this method can generate relevant results for factory planning design problems with contradicting factors, making it a promising approach for the complex challenges of i.e. resource-efficient building.
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Dorn, Jürgen. "Business Service Scheduling." In Innovations in Logistics and Supply Chain Management Technologies for Dynamic Economies, 324–35. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0267-0.ch019.
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The management and predictive planning of the processes to create business services is more difficult than the planning of production processes, because services cannot be produced in stock and customers are involved in their creation. In this paper, the author proposes a method for service scheduling and optimization based on an ontology to describe business services and related concepts. The author schedules operations required to create a service. With each service process and its operations, soft and hard constraints on the execution of operations and the required resources are posted. These constraints are derived from service level agreements. A legal plan must then satisfy all hard constraints. All soft constraints are matter of optimization. Using a tabu search, a near-optimal solution of the service scheduling problem is achieved.
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Vieira, Jaison, Fernando Deschamps, and Pablo Deivid Valle. "Advanced Planning and Scheduling (APS) Systems: A Systematic Literature Review." In Advances in Transdisciplinary Engineering. IOS Press, 2021. http://dx.doi.org/10.3233/atde210118.
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Planning and scheduling are important functions for industrial systems to operate effectively. Their principal aim is to detail how production resources will be used so that its demand is timely met. In literature, there are several works that propose mathematical models for production planning and scheduling for different production scenarios, accounting for different resources configurations and other limitations. However, it was only recently that advanced planning and scheduling systems (APS), making use of these models, started being more widely used and discussed. This work presents the results of a systematic literature review, developed by applying the ProKnow-C method, on APS systems. An overview of the main publications is provided, classifying them in new methods, models or approaches; heuristic approaches; Lagrangian relaxation techniques; and genetic algorithms. The future of APS systems is also discussed, particularly regarding difficulties such as human dependence, use of spreadsheets, and their role in Industry 4.0 with the use of technologies such as the RFID and Cloud computing.
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Gao, Yinping, Chun-Hsien Chen, Daofang Chang, Songlin Chen, and Xue Ting Song. "Machine Learning and Digital Twin-Based Path Planning for AGVs at Automated Container Terminals." In Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde220672.
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The complex and dynamic environment in an automated container terminal (ACT) increases the difficulty of path planning, especially for automated guided vehicles (AGVs). Digital twin is an essential means of characterizing complex production systems as the physical objects can be synchronized in the virtual space. Machine learning is also a popular way to solve path planning problems. This study combines digital twin and machine learning to tackle AGV path planning problems in the time-changing operation environment. A digital twin-based AGV scheduling approach is developed to obtain the real-time data from the physical ACT. Based on the information of the dynamic factors obtained, a mathematical model is formulated to minimize the transportation time of AGVs. Subsequently, the path planning schemes solved by machine learning are used asinput to the virtual ACT for validation and optimization. The optimized solution is further compared to a common path plan algorithm without applying digital twin. The experimental results show the superiority of the proposed method, which can provide better decision support for ACT operation.
Conference papers on the topic "Enhanced production planning and scheduling method"
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He, Guoxi, Yongtu Liang, Limin Fang, Qi Zheng, and Liying Sun. "Optimization of Planning and Scheduling of Refinery Product Based on Downstream Requirements." In 2016 11th International Pipeline Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/ipc2016-64150.
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The disconnect between the optimization systems of upstream production and downstream demand poses a legitimate problem for China’s refined oil industry in terms of overproduction waste. Established methods only partially model the refinery system and are unable to integrate detailed production plans or meet market demands. Therefore, the research on production scheduling optimization combined with the demand of downstream pipeline network has very real applications that not only reduce the consumption of human/material resources, but also increase economic efficiency. This paper aims to optimize the production scheduling of refined oil transportation based on the demand of downstream product pipelines by analyzing the relationships between crude oil supply, refinery facility capacities and refinery tanks storage. The new model will minimize the refined production surplus therefore minimizing refinery costs and wastage. This is done by implementing models custom designed to optimize the three subsystems of the overall process: oil product blending scheduling optimization, producing and processing equipment scheduling optimization, and mixed crude oil scheduling optimization. We first analyzed the relationship between all the production units from the crude oil to the distributional destinations of oil products. A mathematical model of the refinery production scheduling was then built with minimum total surplus inventory as the objective function. We assumed a known downstream demand and used a step by step model to optimize oil stocks. The oil blending plan, production scheduling, amount of crude oil, and refined oil mixing ratios were all derived from the model using three methods: a nonlinear method called Particle Swarm Optimization (PSO), the simplex method and the enumeration method. The evidence laid out in this paper verifies our models functionality and suggests that systems can be significantly optimized by using these methods which can provide solutions for industries with similar challenges. Optimization of the refinery’s overall production process is achieved by implementing models for each of the three distinguished subsystems: oil blending model, plant scheduling model, and the mixed crude oil refining model. The demand dictates the final production quantities. From those figures we are able to place constraining limits on the input crude oil. The refined oil production scheme is continuously enhanced by determining the amount of constituent feed on the production equipment according to the results of previous production cycle. After optimization, the minimum surplus inventory of the five oil components approach their lower limits that were calculated using our models. We compare the literature on scheduling optimization challenges both in China and abroad while providing a detailed discussion of the present situation of Chinese refineries. The interrelationships of production processes on each other are revealed by analyzing the system and breaking it down to three fundamental parts. Basing the final production predictions on the downstream demand, we are able to achieve a minimum refinery surplus inventory by utilizing a comprehensive refinery scheduling model composed of three sub-models.
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Ying, Liu,. "An Optimal Integrated Production Planning and Scheduling Method for Bell-Type Anneal Shop." In Information Control Problems in Manufacturing, edited by Bakhtadze, Natalia, Chair Dolgui, Alexandre and Bakhtadze, Natalia. Elsevier, 2009. http://dx.doi.org/10.3182/20090603-3-ru-2001.00132.
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VIEIRA, JAISON, ANA PAULA GALDINO DE AGUIAR, and FERNANDO DESCHAMPS. "Application of the Dsr - Design Science Research method for the development of an APS - Advanced Planning and Scheduling software." In II Latin American Congress of Applied Technologies. LACAT2021, 2021. http://dx.doi.org/10.47174/lacat.2021-0011.
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The APS Advanced Planning System is a tool that brings competitive advantages in the optimization and manufacturing planning, allowing the efficient use of human and material resources, and in logistical integration, covering all production cycles. These points are fundamental in the manufacturing industry and represent a field of improvement opportunities. This work addresses the use of the Design Science Research methodology in the development of an advanced production and scheduling system, suggesting some improvements such as flexibility, reduction of human and other systems dependencies, and also the application of intelligent algorithms, aligned with the latest advances related to industry 4.0 and digital transformation.,
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Tomczak, Michał, and Piotr Jaśkowski. "The method of scheduling construction projects increasing the use of resources of the general contractor." In The 13th international scientific conference “Modern Building Materials, Structures and Techniques”. Vilnius Gediminas Technical University, 2019. http://dx.doi.org/10.3846/mbmst.2019.019.
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In carrying out construction projects, enterprises strive to obtain the highest degree of harmonization of the work of the resources involved. It is manifested in ensuring continuous and regular production with a full usage of their executive potential. The purpose of harmonization is to eliminate unjustified interruptions in the work of resources. When planning the realization of non-repetitive construction projects, one should use methods of scheduling that allow the analysis of the project model not only as a function of time. It is also important to take into account the effectiveness of using your own resources and limitations in their availability. The article analyzes the problem of harmonizing the work of crews of the general contractor, performing non-rhythmic, non-cyclical and inhomogeneous processes under the assumption of deterministic operating conditions. An important issue from the point of view of reducing the costs of crews’ employment is the continuity of their work. A mathematical model was developed concerning the problem of minimization of downtime in the work of the general contractor crews with a directively fixed time and limit of the project realization cost, taking into account the limitations in the availability of crews and the possibility to outsource works to subcontractors. The possibility of subcontracting works does not allow for a clear indication in the project model sequences of processes carried out by crews and the usage of previously developed scheduling methods. The method of solving the model (in a linear form with continuous and binary variables) is presented in the example. Additionally, the proposed method allows analyzing the impact of the amount of downtime at work on the duration of the project and the impact of the work outsourced to subcontractors on the continuity of the general contractor’s work.
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Nugraheni, Novita Dwi Putri, and Jie Li. "Optimal Design and Scheduling of Offshore Oil and Gas Field Development with Environmental Impact Consideration." In SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/205645-ms.
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Abstract The objective of the paper is to develop a mixed integer nonlinear programming (MINLP) model for optimum design and scheduling of offshore oil and gas field development in respect to simultaneous consideration of economic and environmental impact. The model is utilized as a tool for decision making management in conceptual stage. Nonlinear reservoir behavior and floating demand constraint are incorporated to improve accuracy of the solution. This paper utilizes mathematical programming techniques to address the design and scheduling problem of offshore oil and gas field development. Field development problem is first formulated into a multi-objective MINLP model incorporating many realistic features such as nonlinear reservoir behavior and floating demands. The objectives are to maximize net present value (NPV) and minimize total environmental impact (TEI) simultaneously. Environmental impact is assessed using the ReCiPe2016 method. Augmented ε-constraint method (AUGMECON) is then employed to solve the proposed multi-objective MINLP model to generate the Pareto-optimal front that is able to assist decision maker selecting the most preferred solution. The performance of the proposed modelling framework is investigated on a set of problem which consists of 2 reservoirs, 2 FPSOs, 2 customers and 5-years planning horizon. First model with single objective function to maximize NPV can be solved effectively within short computational time. The solution gives optimum decision of design, investment, production schedule, and transportation regardless the environmental impact. Then, simultaneous optimization of multi-objective MINLP with different value of ε-constraint generates multiple development schemes and objective function values. The results indicate trade-off between maximizing NPV and minimizing TEI. It is possible to obtain maximum NPV of USD 2.4 trillion at the expense of TEI which is 307.518 or to generate minimum TEI of 16.65 at the expense of NPV which is USD 74.368 billion. All possible solutions within extreme values range are presented in form of a Pareto-optimal front where TEI and NPV are plotted in x and y-axis respectively. It will assist the company to select the most preferred solution based on NPV. Consequently, the selected option brings corresponding value of TEI. Additionally, the Pareto optimal front also allows decision maker to have more flexibility to compromise between economic and environmental issues. This is the first study to consider environmental impact in the offshore oil and gas field development. Many realistic operational features such as nonlinear reservoir behavior and floating demands are also incorporated. In addition to that, the proposed framework yields a powerful tool to assist decision maker selecting the most preferred solution that satisfies their criteria in both economic and environmental aspects.
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Castrup, Suzanne. "Comprehensive Analysis of Water Cut Metering Accuracies." In SPE Western Regional Meeting. SPE, 2021. http://dx.doi.org/10.2118/200797-ms.
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Abstract Accurate oil production monitoring is essential for scheduling well work and optimizing the economic performance of primary and enhanced recovery projects. The significance of water cut monitoring accuracy on oil rate determination is discussed and illustrated. This paper provides a comprehensive uncertainty analysis of several water cut monitoring methods commonly employed by oil field operators. These include liquid sampling, capacitance, microwave, ultrasonic, spectroscopy and density methods. The basic operating principles of each monitoring method are described and measurement uncertainty analysis procedures are employed to identify key parameters that affect the overall accuracy of each water cut monitoring method. The analysis results provide useful accuracy assessments that can be used in water cut meter selection, field testing and implementation.
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Bela, Sunanda Magna, Abdil Adzeem B Ahmad Mahdzan, Noor Hidayah A Rashid, Zairi A Kadir, Azfar Israa Abu Bakar, Zayful Hasrin Kamarudzaman, W. Helmi W Hasan, et al. "World's First Extension Pack with 7-in. Enhanced Single-Trip Multizone System: Success Case and Learning Points on the Installation and Treatment Design." In International Petroleum Technology Conference. IPTC, 2021. http://dx.doi.org/10.2523/iptc-21783-ms.
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Abstract Gravel packing in a multilayer reservoir during an infill development project requires treating each zone individually, one after the other, based on reservoir characterization. This paper discusses the installation of an enhanced 7-in. multizone system to achieve both technical and operational efficiency, and the lessons learned that enabled placement of an optimized high-rate water pack (HRWP) in the two lower zones and an extension pack in the uppermost zone. This new approach helps make multizone cased-hole gravel-pack (CHGP) completions a more technically viable and cost-effective solution. Conventional CHGPs are limited to either stack-pack completions, which can incur high cost because of the considerable rig time required for multizone operations, or alternate-path single-trip multizone completions that treat all the target zones simultaneously, with one pumping operation. However, this method does not allow for individual treatment to suit reservoir characterization. The enhanced 7-in. multizone system can significantly reduce well completion costs and pinpoint the gravel placement technique for each zone, without pump-rate limitations caused by excessive friction in the long interval system, and without any fiuid-loss issues after installation because of the modular sliding side-door (SSD) screen design feature. A sump packer run on wireline acts as a bottom isolation packer and as a depth reference for subsequent tubing-conveyed perforating (TCP) and wellbore cleanup (WBCU) operations. All three zones were covered by 12-gauge wire-wrapped modular screens furnished with blank pipe, packer extension, and straddled by two multizone isolation packers between the zones, with a retrievable sealbore gravel-pack packer at the top. The entire assembly was run in a single trip, therefore rig time optimization was achieved. The two lower zones were treated with HRWPs, while the top zone was treated with an extension pack. During circulation testing on the lowermost zone, high pumping pressure was recorded, and after thorough observation of both pumping parameters and tool configuration, it was determined that the reduced inner diameter (ID) in the shifter might have been a causal factor, thereby restricting the flow area. This was later addressed with the implementation of a perforated pup joint placed above the MKP shifting tool. The well was completed within the planned budget and time and successfully put on sand-free production, exceeding the field development planning (FDP) target. The enhanced 7-in. multizone system enabled the project team to beat the previous worldwide track record, which was an HRWP treatment only. As a result of proper fluid selection and rigorous laboratory testing, linear gel was used to transport 3 ppa of slurry at 10 bbl/min, resulting in a world-first extension pack with a 317-lbm/ft packing factor.
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Bela, Sunanda Magna, Abdil Adzeem B. Ahmad Mahdzan, Noor Hidayah A. Rashid, Zairi A. Kadir, Azfar Israa Abu Bakar, Zayful Hasrin Kamarudzaman, W. Helmi W. Hasan, et al. "World First Extension Pack with 7" Enhanced Single Trip Multi Zone System: Success Case and Learning Points on the Installation and Treatment Design." In Offshore Technology Conference Asia. OTC, 2022. http://dx.doi.org/10.4043/31386-ms.
Full textAbstract:
Abstract Gravel packing in a multilayer reservoir during an in?ll development project requires treating each zone individually, one after the other, based on reservoir characterization. This paper discusses the installation of an enhanced 7-in. multizone system to achieve both technical and operational efficiency, and the lessons learned that enabled placement of an optimized high-rate water pack (HRWP) in the two lower zones and an extension pack in the uppermost zone. This new approach helps make multizone cased-hole gravel-pack (CHGP) completions a more technically viable and cost-effective solution. Conventional CHGPs are limited to either stack-pack completions, which can incur high cost because of the considerable rig time required for multizone operations, or alternate-path single-trip multizone completions that treat all the target zones simultaneously, with one pumping operation. However, this method does not allow for individual treatment to suit reservoir characterization. The enhanced 7-in. multizone system can signi?cantly reduce well completion costs and pinpoint the gravel placement technique for each zone, without pump- rate limitations caused by excessive friction in the long interval system, and without any ?uid-loss issues after installation because of the modular sliding side-door (SSD) screen design feature. A sump packer run on wireline acts as a bottom isolation packer and as a depth reference for subsequent tubing-conveyed perforating (TCP) and wellbore cleanup (WBCU) operations. All three zones were covered by 12-gauge wire-wrapped modular screens furnished with blank pipe, packer extension, and straddled by two multizone isolation packers between the zones, with a retrievable sealbore gravel-pack packer at the top. The entire assembly was run in a single trip, therefore rig time optimization was achieved. The two lower zones were treated with HRWPs, while the top zone was treated with an extension pack. During circulation testing on the lowermost zone, high pumping pressure was recorded, and after thorough observation of both pumping parameters and tool con?guration, it was determined that the reduced inner diameter (ID) in the shifter might have been a causal factor, thereby restricting the ?ow area. This was later addressed with the implementation of a perforated pup joint placed above the MKP shifting tool. The well was completed within the planned budget and time and successfully put on sand-free production, exceeding the field development planning (FDP) target. The enhanced 7-in. multizone system enabled the project team to beat the previous worldwide track record, which was an HRWP treatment only. As a result of proper ?uid selection and rigorous laboratory testing, linear gel was used to transport 3 ppa of slurry at 10 bbl/min, resulting in a world-first extension pack with a 317-lbm/ft packing factor.
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Selladurai, Jagaan, Cheol Hwan Roh, Amr Zeidan, Saurabh Anand, Bahrom Madon, Anwar Husen Akbar Ali, Eghbal Motaei, et al. "Redefining Fracpack For Sand And Fines Control Completion in 30 Years Old Producing Field." In International Petroleum Technology Conference. IPTC, 2021. http://dx.doi.org/10.2523/iptc-21183-ms.
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Abstract Malaysian clastic reservoirs are plagued with high fines content which rapidly deteriorates the productivity from wells completed with conventional form of sand control techniques. To mitigate the fines production issue, Petronas recently successfully completed 3 reservoirs in two wells in Field-D using enhanced gravel pack technique. This paper explains in detail the workflow, challenges such as depleted reservoirs, coal streaks, and nearby water contacts and operational execution for the successful re-defined extension pack jobs. This new approach consists of a re-defined Extension Pack / Frac Pack job with fine movement control resin and a re-defined perforation strategy. Perforation strategy consists of limited number of 180 deg phasing non-oriented perforations done under dynamic underbalance conditions. The key requirement to have fracturing as a sand control method is to have a tip screen out (TSO) or high net pressure placement to ensure the fracture has good conductivity. To obtain a good TSO, data acquisition is of paramount importance. The fracturing jobs in the Field – D wells were preceded with step-rate tests, injection tests, minifrac and Diagnostic Fracture Injection Test (DFIT). The data from diagnostic tests were used diligently to have best possible fracturing treatment in the target zones. Excellent pack factors of greater than 500 lbs. per ft were obtained for all the treatment jobs using only linear gel with proppant concentration up to 7 ppa. This high pack factor translates to very good frac conductivity which is essential in fracturing for sand control. Some of the fracturing treatments concluded with a TSO signature which is a big achievement considering the challenges that were associated with fracturing in Field – D. In addition, DFIT and ACA (After Closure Analysis) was performed to estimate permeability and results were compared with various techniques such as log derived and formation tester permeability. Ultimate objective from this analysis is to have a work-flow which can screen candidate wells for such treatments from openhole logs and give an estimated liquid rate post treatment. Also, the workflow for planning and executing fracturing jobs will be presented for Malaysian clastic reservoirs. This work-flow will be vetted against the extensive diagnostic and fracturing data that has been acquired during fracturing treatments in Field – D. Design, actual diagnostic, and fracturing data will be presented in this paper. It is expected that this modified form of sand and fines control will help in reducing the fines issue in Field – D to a great extent along with expected incremental in oil production. If long term production sustainability is proven, similar approach will be adopted by Petronas and can be shared amongst other South East Asia operators in many similar other fields.