To see the other types of publications on this topic, follow the link: Product management Flexible manufacturing systems.
Journal articles on the topic 'Product management Flexible manufacturing systems'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Product management Flexible manufacturing systems.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Weston, R. H., C. M. Sumpter, and J. D. Gascoigne. "Distributed manufacturing systems." Robotica 4, no. 1 (January 1986): 15–26. http://dx.doi.org/10.1017/s0263574700002435.
Full textAbstract:
SUMMARYIn the context of computer-integrated manufacture (CIM), the paper describes the need for flexible “intelligent” machinery and the need for integrated and distributed software. Methodologies in obtaining appropriate solutions are discussed and related to two major SERC sponsored research programmes at Loughborough University, which concern (i) the design of a family of mechanical and control system modules to allow robots to be configured with user defined kinematic and dynamic properties, and (ii) the design of distributed hardware and software structures, based on internationally accepted communication protocols, to allow FAS's to be produced.In batch manufacture today's increased demand for product variety, requiring reduced lead times and work in progress, the need arises for computer-integrated manufacture (CIM). Similarly, in many conventional continuous flow manufacturing processes dramatic improvements in plant efficiency can be achieved by linking shop floor computer systems with computers performing management and design functions.Considerable research and development work has centred on flexible manufacturing systems (FMSs)3−1 which conventionally relate to metal cutting environments. Similarly the labour intensive nature of assembly operations has led to considerable interest in the design of flexible assembly systems.3.4 The principles embodied in FMS and FAS are translatable, being applicable to most manufacturing environments.To achieve flexible integrated manufacturing two major requirements can be identified, viz. (i) the need for flexible “intelligent” machinery, and (ii) the need for integrated but distributed software systems. This paper will consider future trends in (i) and (ii).
2
Li, Jingshan, and Ningjian Huang. "Quality Evaluation in Flexible Manufacturing Systems: A Markovian Approach." Mathematical Problems in Engineering 2007 (2007): 1–24. http://dx.doi.org/10.1155/2007/57128.
Full textAbstract:
The flexible manufacturing system (FMS) has attracted substantial amount of research effort during the last twenty years. Most of the studies address the issues of flexibility, productivity, cost, and so forth. The impact of flexible lines on product quality is less studied. This paper intends to address this issue by applying a Markov model to evaluate quality performance of a flexible manufacturing system. Closed expressions to calculate good part probability are derived and discussions to maintain high product quality are carried out. An example of flexible fixture in machining system is provided to illustrate the applicability of the method. The results of this study suggest a possible approach to investigate the impact of flexibility on product quality and, finally, with extensions and enrichment of the model, may lead to provide production engineers and managers a better understanding of the quality implications and to summarize some general guidelines of operation management in flexible manufacturing systems.
3
Hu, Ya Hui, Xiao Min Hu, Qing Chun Zheng, and Hui Jvan Lv. "Implementation of Management Model for Manufacturing Information Based to PDM." Key Engineering Materials 458 (December 2010): 258–64. http://dx.doi.org/10.4028/www.scientific.net/kem.458.258.
Full textAbstract:
Product development is becoming more complex. Product design is desired to be undertaken together with the considerations of downstream processes such as manufacturing and assembling. The product data exchange between CAD and PDM systems is a crucial issue for the integration of product development systems. To solve this, this paper focuses on a flexible, unified data model based on PDM that integrates information and models from different engineering domains. Some key technologies, such as type of data organization and data exchange between PDM and CAD, are researched based on the case of Smarteam. This approach has been experimented within a company environment that designs and produces families of the hydraulic press parts.
4
Chambers, Chester G., Eli M. Snir, and Asad Ata. "The Use of Flexible Manufacturing Capacity in Pharmaceutical Product Introductions." Decision Sciences 40, no. 2 (May 2009): 243–68. http://dx.doi.org/10.1111/j.1540-5915.2009.00226.x.
Full text
5
Shaoxiang, Chen. "The Optimality of Hedging Point Policies for Stochastic Two-Product Flexible Manufacturing Systems." Operations Research 52, no. 2 (April 2004): 312–22. http://dx.doi.org/10.1287/opre.1030.0087.
Full text
6
Asadi, Narges, Mats Jackson, and Anders Fundin. "Linking product design to flexibility in an assembly system: a case study." Journal of Manufacturing Technology Management 28, no. 5 (June 5, 2017): 610–30. http://dx.doi.org/10.1108/jmtm-10-2016-0144.
Full textAbstract:
Purpose The recent shift towards accommodating flexibility in manufacturing companies and the complexity resulting from product variety highlight the significance of flexible assembly systems and designing products for them. The purpose of this paper is to provide insight into the requirements of a flexible assembly system for product design from the assembly system’s standpoint. Design/methodology/approach To fulfil the purpose of the paper, a literature review and a case study were performed. The case study was conducted with an interactive research approach in a global market leader company within the heavy vehicle manufacturing industry. Findings The findings indicate that common assembly sequence, similar assembly interfaces, and common parts are the main requirements of a flexible assembly system for product design which reduce complexity and facilitate various flexibility dimensions. Accordingly, a model is proposed to broaden the understanding of these requirements from the assembly system’s standpoint. Research limitations/implications This study contributes to the overlapping research area of flexible assembly systems and product design. Practical implications The proposed model is largely based on practical data and clarifies the role of product design in facilitating flexibility in an assembly system. It can be used by assembly managers, assembly engineers, and product designers. Originality/value The key originality of this paper compared to the previous studies lies in presenting a novel assembly-oriented design model. The model enhances understanding of a flexible assembly system’s requirements for product design with regard to reducing complexity and managing variation in a flexible assembly system. These requirements can be applied to product design across various product families within a company’s product portfolio.
7
Elsouri, Mohammed, James Gao, Clive Simmonds, and Nick Martin. "A design for manufacturing methodology using defects knowledge for aerospace product manufacturing." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 235, no. 11 (April 29, 2021): 1751–62. http://dx.doi.org/10.1177/09544054211007642.
Full textAbstract:
Defects generated by the UK supply chain is much higher than its global competitors. Defects impact costs and production throughput due to unpredictable disruptions resulting in many non-value adding activities. However, defects data associated knowledge have rarely been considered and implemented as the manufacturing capability in existing design for manufacturing and assembly (DFMA) data/knowledge bases. On the other hand, current ICT systems used in the aerospace industry are not flexible enough to keep up with the new requirements of collaborating to manage knowledge properly, and the use of real-time manufacturing data generated in manufacturing activities. This research was carried out in collaboration with one of the UK’s largest aerospace companies in order to analyse the complexity of design and manufacturing activities of high-value safety-critical aerospace products. The results of the work are presented, and a novel approach and system was developed, that can be used to support DFMA using defects knowledge. The approach was implemented as a knowledge management system using collaborative design principles. Key findings from the main contribution in the context of extended enterprises of high value low volume safety critical product manufacturing are discussed.
8
Eyers, Daniel R., Andrew T. Potter, Jonathan Gosling, and Mohamed M. Naim. "The flexibility of industrial additive manufacturing systems." International Journal of Operations & Production Management 38, no. 12 (December 3, 2018): 2313–43. http://dx.doi.org/10.1108/ijopm-04-2016-0200.
Full textAbstract:
Purpose Flexibility is a fundamental performance objective for manufacturing operations, allowing them to respond to changing requirements in uncertain and competitive global markets. Additive manufacturing machines are often described as “flexible,” but there is no detailed understanding of such flexibility in an operations management context. The purpose of this paper is to examine flexibility from a manufacturing systems perspective, demonstrating the different competencies that can be achieved and the factors that can inhibit these in commercial practice. Design/methodology/approach This study extends existing flexibility theory in the context of an industrial additive manufacturing system through an investigation of 12 case studies, covering a range of sectors, product volumes, and technologies. Drawing upon multiple sources, this research takes a manufacturing systems perspective that recognizes the multitude of different resources that, together with individual industrial additive manufacturing machines, contribute to the satisfaction of demand. Findings The results show that the manufacturing system can achieve seven distinct internal flexibility competencies. This ability was shown to enable six out of seven external flexibility capabilities identified in the literature. Through a categorical assessment the extent to which each competency can be achieved is identified, supported by a detailed explanation of the enablers and inhibitors of flexibility for industrial additive manufacturing systems. Originality/value Additive manufacturing is widely expected to make an important contribution to future manufacturing, yet relevant management research is scant and the flexibility term is often ambiguously used. This research contributes the first detailed examination of flexibility for industrial additive manufacturing systems.
9
Coudurier, J. F. "Flexible production organization of workpiece movement." Robotica 4, no. 1 (January 1986): 33–36. http://dx.doi.org/10.1017/s0263574700002459.
Full textAbstract:
SUMMARYThe flexible turning cell developed at CETIM has enabled us, among other things, to investigate how the movement of workpieces could be organized in flexible production cells.The very design of flexible cells leads to the following questions about the manufacturing process to be considered: – type of product, – type of operational side, – type of management/control, – type of data transmission.These questions are answered by calling upon group technology for both the product and operational sides, and upon simulation to define precisely the operational side, and the type of management/control and data transmission system to be used.For simple cells (i.e. those with few work-stations) the system can be analyzed in detail without resorting to simulation. Thus equipment limitations such as those set by robot control can be taken into account to analyze the possibilities to interlink numerous different paths.With this approach simpler real-time operation can be implemented. It also permits handling operations on different types of workpieces (i.e. of different shape and sequence) simultaneously.
10
Malik, Asif Iqbal, and Biswajit Sarkar. "Coordination Supply Chain Management Under Flexible Manufacturing, Stochastic Leadtime Demand, and Mixture of Inventory." Mathematics 8, no. 6 (June 3, 2020): 911. http://dx.doi.org/10.3390/math8060911.
Full textAbstract:
The necessity of coordination among entities is essential for the success of any supply chain management (SCM). This paper focuses on coordination between two players and cost-sharing in an SCM that considers a vendor and a buyer. For random demand and complex product production, a flexible production system is recommended. The study aims to minimize the total SCM cost under stochastic conditions. In the flexible production systems, the production rate is introduced as the decision variable and the unit production cost is minimum at the obtained optimal value. The setup cost of flexible systems is higher and to control this, a discrete investment function is utilized. The exact information about the probability distribution of lead time demand is not available with known mean and variance. The issue of unknown distribution of lead time demand is solved by considering a distribution-free approach to find the amount of shortages. The game-theoretic approach is employed to obtain closed-form solutions. First, the model is solved under decentralized SCM based on the Stackelberg model, and then solved under centralized SCM. Bargaining is the central theme of any business nowadays among the players of an SCM to make their profit within a centralized and decentralized setup. For this, a cost allocation model for lead time crashing cost based on the Nash bargaining model with the satisfaction level of SCM members is proposed. The cost allocation model under Nash bargaining achieves exciting results in SCM coordination.
11
Madson, Katherine M., Bryan Franz, Keith R. Molenaar, and Gül Okudan Kremer. "Strategic development of flexible manufacturing facilities." Engineering, Construction and Architectural Management 27, no. 6 (January 16, 2020): 1299–314. http://dx.doi.org/10.1108/ecam-03-2019-0139.
Full textAbstract:
PurposeThis article addresses the lack of formal design guidance that supports flexibility within the architectural and engineered systems of manufacturing facilities through the development of a taxonomy and associated terminology.Design/methodology/approachThis research performed a comparative analysis of 15 manufacturing facilities located both within the United States (73 percent of cases) and internationally (27 percent of cases). These case studies provided details on how and where flexibility was incorporated into the design of a manufacturing facility. Specific consideration was given to the primary design features that enabled a decoupling of the facility from the manufacturing process. These design features were then clustered to identify main design strategies that enable flexibility.FindingsBy grouping the design features together and creating a common vocabulary, three coherent design approaches for flexible facilities were identified, each having a different potential for responding to short-term and long-term changes. These include general purpose, scalable, and dedicated facilities.Research limitations/implicationsBy delineating three high-level strategies for early flexible facility design, this research synthesizes a conceptual understanding of flexibility with practical and implementable designs. This synthesis provides an incremental advance to a complex challenge for researchers. It also provides decision support to design teams by aiding in project definition, when flexibility is desirable. This research is primarily limited by the number of cases reviewed. With more cases, additional facility design strategies may be identified.Practical implicationsThe findings in this research allow for a basic understanding of how a flexible facility can be designed with only limited or vague information about the product and manufacturing processes contained within. The development of terminology associated with each facility design strategy provides standardization for the discussion and implementation of flexibility early in the design process. In doing so, flexible designs become easier to create and more efficient to implement.Originality/valueThis research provides the first synthesized approach for considering flexible facility design strategies within the manufacturing sector.
12
Dornhöfer, Mareike, Simon Sack, Johannes Zenkert, and Madjid Fathi. "Simulation of Smart Factory Processes Applying Multi-Agent-Systems—A Knowledge Management Perspective." Journal of Manufacturing and Materials Processing 4, no. 3 (September 9, 2020): 89. http://dx.doi.org/10.3390/jmmp4030089.
Full textAbstract:
The implementation of Industry 4.0 and smart factory concepts changes the ways of manufacturing and production and requires the combination and interaction of different technologies and systems. The need for rapid implementation is steadily increasing as customers demand individualized products which are only possible if the production unit is smart and flexible. However, an existing factory cannot be transformed easily into a smart factory, especially not during operational mode. Therefore, designers and engineers require solutions which help to simulate the aspired change beforehand, thus running realistic pre-tests without disturbing operations and production. New product lines may also be tested beforehand. Data and the deduced knowledge are key factors of the said transformation. One idea for simulation is applying artificial intelligence, in this case the method of multi-agent-systems (MAS), to simulate the inter-dependencies of different production units based on individually configured orders. Once the smart factory is running additional machine learning methods for feedback data of the different machine units may be applied for generating knowledge for improvement of processes and decision making. This paper describes the necessary interaction of manufacturing and knowledge-based solutions before showing an MAS use case implementation of a production line using Anylogic.
13
NANDA, JYOTIRMAYA, HENRI J. THEVENOT, TIMOTHY W. SIMPSON, ROBERT B. STONE, MATT BOHM, and STEVEN B. SHOOTER. "Product family design knowledge representation, aggregation, reuse, and analysis." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 21, no. 2 (March 19, 2007): 173–92. http://dx.doi.org/10.1017/s0890060407070217.
Full textAbstract:
A flexible information model for systematic development and deployment of product families during all phases of the product realization process is crucial for product-oriented organizations. In current practice, information captured while designing products in a family is often incomplete, unstructured, and is mostly proprietary in nature, making it difficult to index, search, refine, reuse, distribute, browse, aggregate, and analyze knowledge across heterogeneous organizational information systems. To this end, we propose a flexible knowledge management framework to capture, reorganize, and convert both linguistic and parametric product family design information into a unified network, which is called a networked bill of material (NBOM) using formal concept analysis (FCA); encode the NBOM as a cyclic, labeled graph using the Web Ontology Language (OWL) that designers can use to explore, search, and aggregate design information across different phases of product design as well as across multiple products in a product family; and analyze the set of products in a product family based on both linguistic and parametric information. As part of the knowledge management framework, a PostgreSQL database schema has been formulated to serve as a central design repository of product design knowledge, capable of housing the instances of the NBOM. Ontologies encoding the NBOM are utilized as a metalayer in the database schema to connect the design artifacts as part of a graph structure. Representing product families by preconceived common ontologies shows promise in promoting component sharing, and assisting designers search, explore, and analyze linguistic and parametric product family design information. An example involving a family of seven one-time-use cameras with different functions that satisfy a variety of customer needs is presented to demonstrate the implementation of the proposed framework.
14
Gromova, Elizaveta. "Introduction of Flexible Manufacturing Systems as a Necessary Measure for the Russian Industrial Development." Materials Science Forum 957 (June 2019): 195–202. http://dx.doi.org/10.4028/www.scientific.net/msf.957.195.
Full textAbstract:
With the onset of the Fourth Industrial Revolution, the business environment becomes inherent in changes that occur with maximum speed, as well as characterized by the systemic nature of the consequences. One of them is the transformation of operational management models in industrial enterprises. The modern manufacturing system should focus not only on speed of response and flexibility, but also on the cost and quality of products. Integration of effective models: agile manufacturing, quick response manufacturing and lean production, in order to extract the best from them is proposed. The purpose of this study is to analyze this flexible manufacturing system and to relate it to the current state of the Russian industrial development. Theoretical and practical aspects of this model are presented. The examples of the flexible models introduction in the Russian industrial sector is allocated. The conclusion about the necessity of the flexible manufacturing systems implementation for the Russian industrial development is drawn.
15
Ilic, Oliver, and Milic Radovic. "Models of production runs for multiple products in flexible manufacturing system." Yugoslav Journal of Operations Research 21, no. 2 (2011): 307–24. http://dx.doi.org/10.2298/yjor1102307i.
Full textAbstract:
How to determine economic production runs (EPR) for multiple products in flexible manufacturing systems (FMS) is considered in this paper. Eight different although similar, models are developed and presented. The first four models are devoted to the cases when no shortage is allowed. The other four models are some kind of generalization of the previous ones when shortages may exist. The numerical examples are given as the illustration of the proposed models.
16
Marcello Pelagagge, Pacifico. "Product innovation programme in the field of flexible components for automotive suspension systems." Industrial Management & Data Systems 99, no. 5 (August 1999): 197–204. http://dx.doi.org/10.1108/02635579910282911.
Full text
17
Tóth, Norbert, and Gyula Kulcsár. "New models and algorithms to solve integrated problems of production planning and control taking into account worker skills in flexible manufacturing systems." International Journal of Industrial Engineering Computations 12, no. 4 (2021): 381–400. http://dx.doi.org/10.5267/j.ijiec.2021.5.004.
Full textAbstract:
The paradigm of the cyber-physical manufacturing system is playing an increasingly important role in the development of production systems and management of manufacturing processes. This paper presents an optimization model for solving an integrated problem of production planning and manufacturing control. The goal is to create detailed production plans for a complex manufacturing system and to control the skilled manual workers. The detailed optimization model of the problem and the developed approach and algorithms are described in detail. To consider the impact of human workers performing the manufacturing primary operations, we elaborated an extended simulation-based procedure and new multi-criteria control algorithms that can manage varying availability constraints of parallel workstations, worker-dependent processing times, different product types and process plans. The effectiveness of the proposed algorithms is demonstrated by numerical results based on a case study.
18
Leite, Marco, and Vanessa Braz. "Agile manufacturing practices for new product development: industrial case studies." Journal of Manufacturing Technology Management 27, no. 4 (May 3, 2016): 560–76. http://dx.doi.org/10.1108/jmtm-09-2015-0073.
Full textAbstract:
Purpose – For decades multiple management philosophies directed toward lean production and mass were assumed as to respond to process inefficiencies and rampant consumerism, optimizing operation costs. However, new customization and flexible productions philosophies have been gaining ground in some industries, such as the agile manufacturing. From a literature review that addresses the history of this philosophy, it is clear that agile manufacturing is not fully comprehended, with very scarce information about practical cases. The paper aims to discuss these issues. Design/methodology/approach – In this paper the authors describe an exploratory methodology approach, with three semi-structured case study interviews. The goal is to study which of agile manufacturing practices are being applied in the studied companies and what is the perceived effect that these have on operational performance. Since most of these companies develop highly customized products, the role of agility on new product development can have a huge impact on their operational performance. Findings – Agile manufacturing is not yet a widespread philosophy of managing for the companies studied, being virtually unknown as a global concept. However, it was found that many of the practices of agile manufacturing are already implemented in these companies without association with this philosophy. It was also concluded, by the finding through respondents opinions, that agile practices contribute positively to the studied companies operating performance. Originality/value – The novelty of this research derives from observation of agile manufacturing practices in SMEs. This research is useful to SMEs implementing agile manufacturing principles.
19
Maropoulos, P. G. "A Novel Process Planning Architecture for Product-Based Manufacture." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 209, no. 4 (August 1995): 267–76. http://dx.doi.org/10.1243/pime_proc_1995_209_083_02.
Full textAbstract:
This paper presents a new process planning architecture which is compatible with the integrated product and process development of concurrent engineering and interfaces with production control. The architecture consists of three levels, namely aggregate, management and detailed (AMD), which are defined according to the granularity of process modelling considerations, the interfacing requirements with design and production control, and the natural time cycle of the corresponding activities. The essential functionality at each level is also discussed and the new technology requirements are identified. The modularity of AMD will allow the generation of flexible, customized process planning systems to meet specific industrial requirements, enhance the operation of modules at each level and reduce the overall system complexity. However, the most important benefits offered by the AMD architecture are the establishment of time-dependent interfaces with design and production control and the formation of a modular structure that will facilitate the development of future generation, distributed process planning systems.
20
Foxall, Gordon R., Brian Johnston, and Francis S. Murphy. "The development of control software for flexible manufacturing systems by British Aerospace, Warton: A case history of user‐initiated product innovation." Journal of Marketing Management 2, no. 3 (January 1987): 259–74. http://dx.doi.org/10.1080/0267257x.1987.9964017.
Full text
21
Hilmola, Olli-Pekka, Harri Lorentz, Per Hilletofth, and Jarmo Malmsten. "Manufacturing strategy in SMEs and its performance implications." Industrial Management & Data Systems 115, no. 6 (July 13, 2015): 1004–21. http://dx.doi.org/10.1108/imds-12-2014-0380.
Full textAbstract:
Purpose – West European manufacturing has been going through challenging times after the global financial crisis of 2008-2009. Some countries (e.g. Sweden and Germany) have recovered from the crisis, while in others problems and job loss still persist. One of these problem countries is Finland. The purpose of this paper is to examine manufacturing strategy priorities and their performance implications in this country. Design/methodology/approach – During the spring of 2014, a web-based survey was conducted, targeting Finnish manufacturing companies. In this study we focus on small- and medium-sized (SMEs) companies and link survey responses to financial performance data, which is available in audited annual reports. Findings – Research results indicate that SME manufacturers in Finland put less emphasis in new product development, broadness of product line and after sales service, while showing high priority in delivery speed and punctuality. As the manufacturing strategy dimensions are connected to audited financial data, regression analyses reveal that superior quality is at central place for achieving higher revenues and profits. After sales service has a positive impact on revenues and new product development ability is connected to higher profits. Managing quality to meet specifications (minimum quality level), leads only into higher employment. Some evidence is shown in support of flexibility in terms of product changes having negative impact on revenue, while volume flexibility is connected to lower profits. Research limitations/implications – This research is limited to a single country, and is cross-sectional in nature. The primary data were combined with profit and loss statements in order to reduce common method bias. Practical implications – It is evident that SMEs may adapt their manufacturing strategy, with emphasis on superior quality together with properly managed after sales service and new product development activity. However, it is worrying that head count in manufacturing SMEs is not connected to same factors, as are revenue and profit. It is suggested that flexibility in labour contracts and other regulatory support measures are needed to support flexible manufacturing. Originality/value – Advanced economies and their remaining manufacturing companies have been receiving minor levels of interest in research. This is especially the case with SMEs, where this research tries to fill important research gap.
22
Durakbasa, Numan M., Jorge Bauer, and Günther Poszvek. "Advanced Metrology and Intelligent Quality Automation for Industry 4.0-Based Precision Manufacturing Systems." Solid State Phenomena 261 (August 2017): 432–39. http://dx.doi.org/10.4028/www.scientific.net/ssp.261.432.
Full textAbstract:
Intelligence is an essential feature of future development and production systems, and intelligent production is a major component of future business. To meet market demands in present and future global industrial world, manufacturing enterprises of any kind and any size must be flexible and agile enough to respond quickly to product demand changes also according technological developments especially in the field of precision engineering at micro/nanoand pico scale production. With support of AI and modern IT it is possible to realise modern cost-effective customer-driven design and manufacturing taking into account the importance and basic role of modern Integrated Management Systems - IMS and intelligent advanced metrology.This new concept can be developed on the basis of intelligent production technologies and integrated systems as well as extensive use of the IT, AI, simulation, quality autonomation, robotics, advanced metrology and advanced engineering data exchange techniques. Moreover by utilizing advanced information analytics, networked intelligent machines and instruments will be able to perform more efficiently, collaboratively and sustainably, that makes possible an agile and optimal industrial production in any kind of industry and especially in up-to-date SMEs towards Industry 4.0.
23
Osterman, Paul. "How Common is Workplace Transformation and Who Adopts it?" ILR Review 47, no. 2 (January 1994): 173–88. http://dx.doi.org/10.1177/001979399404700202.
Full textAbstract:
The author, using data on 694 U.S. manufacturing establishments from a 1992 survey, examines the incidence of innovative work practices (teams, job rotation, quality circles, and Total Quality Management) and investigates what variables, including human resource practices, are associated with the adoption of these practices. He finds that about 35% of private sector establishments with 50 or more employees made substantial use of flexible work organization in 1992. Some factors associated with an establishment's adoption of these practices are being in an internationally competitive product market, having a technology that requires high levels of skill, following a “high road” strategy that emphasizes variety, service, and quality rather than low cost, and using such human resource practices as high levels of training and innovative pay systems.
24
Xu, Wen Jie, and Jin Yao. "Molding and Optimization of Workflow Based on Stochastic Timed Petri Nets in Customized Supply Chain Management." Advanced Materials Research 201-203 (February 2011): 1082–85. http://dx.doi.org/10.4028/www.scientific.net/amr.201-203.1082.
Full textAbstract:
Customized Supply Chain Management (CSCM) has been made much account of attention in Flexible Manufacturing Systems (FSM). Products are customized by customer’s special needs at stochastic time. Then Manufacturing Oriented to Customization (MOC) would inevitably be faced by those enterprises that had to meet the changeable and complex needs of customers. However, there were large quantities of difficulties would appear in MOC supply chains, such as information overload, technology and resource constraints. All of these problems made it hard to quickly and effectively respond to customers’ needs. Therefore, we need to find a new way to deal effectively with the problems about how to respond quickly to supply chains oriented to customization. Petri Nets have been extensively used for modeling and simulating of the dynamics of flexible manufacturing systems. However, Petri Nets have not been very popular for molding of workflow in CSCM environmental. In this paper Stochastic Timed Petri Nets (STPN) were used to solve the above problems. The enterprises’ workflow was analyzed, and then the STPN model was constructed according to the characteristics of its internal supply chain. In order to minimize total tardiness time of workflow, the structure of STPN was optimized in a proper way. The results suggest that the STPN approach is also valid to minimize due date of each transition in CSCM and responses to customized needs more quickly than before.
25
Araúzo, José Alberto, Ricardo Del Olmo, and Juan José Laviós. "Subasta combinatoria para la programación dinámica en sistemas de fabricación distribuidos." Dirección y Organización, no. 51 (December 1, 2013): 55–64. http://dx.doi.org/10.37610/dyo.v0i51.438.
Full textAbstract:
Los métodos de programación de operaciones tradicionales, estáticos y basados en arquitecturas centralizadas o jerárquicas, no son suficientemente flexibles para adaptarse al dinamismo y complejidad de los sistemas de fabricación actuales. Por ello, la investigación en técnicas dinámicas de programación y control on-line está creciendo rápidamente. En este ar tículo se presenta una técnica de programación dinámica on-line basada en modelos de mercado e implementada sobre un sistema multiagente. Esta propuesta, además de dinámica, es distribuida no jerárquica, lo que aporta al sistema las características deseadas.Palabras claves: programación y control de la producción, programación on-line, sistemas de fabricación basados en agentes, subastas combinatorias.Combinatorial auction for dynamic scheduling in distributed manufacturing systemsAbstract: The traditional static scheduling methods, based on hierarchical and centralized architectures, are not flexible enough to self-adapt to the dynamism and complexity of today’s manufacturing systems. For this reason, new proposals to improve the scheduling and control of agile manufacturing systems constantly appear. The auction based allocation methods as well as the software paradigm of multiagent systems, which offers new techniques to face complex unsolved problems, can help to find promising solutions in manufacturing systems. Traditionally, scheduling problems have been solved offline by a centralized decision-maker that use a global optimisation model. We propose to include in the system several decision-makers modelled as agents instead. We consider two kinds of agents: order agents and machines agents. Each order agent represents a product that is characterized by its operations, precedence relationships and due date. The goal of each order agent is to find machines that can perform the required operations and hence completing successfully the order. Each production order creates its own schedule (local schedule). An auction mechanism ensures that local schedules are nearly compatible (several orders don’t use the same machine at the same moment) and globally efficient. Every agent in the system can communicate with other agents through the exchange of messages. The interaction mechanism is ruled by means of a combinatorial auction where a theoretical basis is provided for structuring message sequencing, bid evaluation, and price updating. Our research contributes to the auction technique in manufacturing scheduling and control in two basic aspects: (1) we apply the auction mechanism for a routing flexible environment (an operation can be performed in several machines with a differing efficiency), (2) we propose an implementation that can schedule online, updating real-time information: planning horizon, changes in orders, changes in machine availability and capabilities. We include explicitly the option of reallocate resources in real time when a new order arrives to the system. In order to test the features of this approach we display some computational results. Preliminary results show efficient performance in dynamic scenarios, but there are still many matters to investigate. Future works will be devoted to test the proposed approach on more case studies or even on real cases. We can add complexity to the structure of the system, and we must improve some aspects of the auction mechanism such as convergence and stability.Keywords: manufacturing programming and control, on-line scheduling, agent based manufacturing systems, combinatorial auctions.
26
Wang, Wanzhu, Qazi Salman Khalid, Muhammad Abas, Hao Li, Shakir Azim, Abdur Rehman Babar, Waqas Saleem, and Razaullah Khan. "Implementation of POLCA Integrated QRM Framework for Optimized Production Performance—A Case Study." Sustainability 13, no. 6 (March 20, 2021): 3452. http://dx.doi.org/10.3390/su13063452.
Full textAbstract:
Quick response manufacturing (QRM) is a relatively new concept that enfolds all the preceding approaches, namely, just in time (JIT), flexible manufacturing, agile manufacturing, and lean production. QRM is compatible with existing materials requirement planning (MRP) systems and can be implemented efficiently. The ideas from QRM have been highly influential in custom-made engineer-to-order and make-to-order (ETO/MTO) high-mix and low-volume production environments. This study investigates the effectiveness of the POLCA (paired cell overlapping loops of cards) integrated QRM framework for reducing lead time. The POLCA integrated QRM approach was implemented in a precise product manufacturing industry. The industry was facing high penalties due to improper planning and uncontrolled lead times. The implementation of QRM with the POLCA framework indicated optimized production scheduling and significant improvement in lead time and work in process (WIP). After implementing the new manufacturing strategy, the performance parameters showed significant improvement in terms of reducing the percentage loss of profit.
27
Botto, Adriana, Céline Banti, and Enda O'Sullivan. "Unbonded flexible pipe integrity management, reuse and life extension." APPEA Journal 48, no. 1 (2008): 319. http://dx.doi.org/10.1071/aj07021.
Full textAbstract:
Australia has a long tradition of innovation in the use of floating production systems in the past 20 years. The classical solution adopts unbonded flexible pipe, a key technology, to enable floating facilities to produce in relatively shallow waters. While unbonded flexible pipe is a reliable technology that has been in use for approximately 30 years, damage, and ultimately failure can occur during its early (i.e. during manufacturing/testing, installation and early operation) and later life. Accurate assessments of the historical records of flexible pipe usage have led to an increased understanding of the potential failure mechanisms. This enables mitigation of incidents by developing operating strategies and procedures to manage the flexible pipe in a knowledgeable and cost effective manner. This paper discusses the available techniques for the inspecting and monitoring requirements of flexible pipe, including consideration of the value offered by conventional general visual inspection (GVI) techniques. Examples of developed alternative technologies are discussed, as well as how these alternatives can reduce the requirement for GVI when supplemented with an integrated integrity management strategy. Furthermore, given the advances in understanding of complex flexible pipe inter-layer behaviour, this paper demonstrates that through proper asset management, flexible pipe technology service life can be extended beyond the original design value. Similarly, flexible pipe that had previously been considered damaged and requiring early replacement can be justified for extension to beyond the original design life. Consideration has also been given to the potential for the re-use of flexible pipes and the hazards which can arise from this activity including recovery, storage, testing and installation. The key stages required to safely manage this process have been outlined.
28
Erasmus, Jonnro, Irene Vanderfeesten, Konstantinos Traganos, Ruud Keulen, and Paul Grefen. "The HORSE Project: The Application of Business Process Management for Flexibility in Smart Manufacturing." Applied Sciences 10, no. 12 (June 16, 2020): 4145. http://dx.doi.org/10.3390/app10124145.
Full textAbstract:
Several high-tech manufacturing technologies are emerging to meet the demand for mass customized products. These technologies include configurable robots, augmented reality and the Internet-of-Things. Manufacturing enterprises can leverage these new technologies to pursue increased flexibility, i.e., the ability to perform a larger variety of activities within a shorter time. However, the flexibility offered by these new technologies is not fully exploited, because current operations management techniques are not dynamic enough to support high variability and frequent change. The HORSE Project investigated several of the new technologies to find novel ways to improve flexibility, as part of the Horizon 2020 research and innovation program. The purpose of the project was to develop a system, integrating these new technologies, to support efficient and flexible manufacturing. This article presents the core result of the project: a reference architecture for a manufacturing operations management system. It is based on the application and extension of business process management (BPM) to manage dynamic manufacturing processes. It is argued that BPM can complement current operations management techniques by acting as an orchestrator in manufacturing processes augmented by smart technologies. Building on well-known information systems’ architecting frameworks, design science research is performed to determine how BPM can be applied and adapted in smart manufacturing operations. The resulting reference architecture is realized in a concrete HORSE system and deployed and evaluated in ten practical cases, of which one is discussed in detail. It is shown that the developed system can flexibly orchestrate the manufacturing process through vertical control of all agents, and dynamic allocation of agents in the manufacturing process. Based on that, we conclude that BPM can be applied to overcome some of the obstacles toward increased flexibility and smart manufacturing.
29
Arthur, Jeffrey B. "The Link between Business Strategy and Industrial Relations Systems in American Steel Minimills." ILR Review 45, no. 3 (April 1992): 488–506. http://dx.doi.org/10.1177/001979399204500306.
Full textAbstract:
This study tests the “strategic choice” proposition that variation in workplace industrial relations policies and practices is related to differences in business strategy. A cluster analysis of data from a 1988–89 questionnaire examining workplace industrial relations and business strategies in U.S. steel minimills suggests that the industrial relations systems of these mills can be broadly categorized as emphasizing either cost reduction or employee commitment; similarly, the business strategies of the mills appear to stress either the manufacture of a few products in large quantities at the lowest possible cost, or more flexible manufacturing, with products marketed on some basis other than cost. Further investigation shows a significant association between the type of workplace industrial relations system and the business strategy choices in these mills.
30
Takeuchi, Yoshimi. "Message from Editor-in-Chief." International Journal of Automation Technology 1, no. 1 (September 5, 2007): 3. http://dx.doi.org/10.20965/ijat.2007.p0003.
Full textAbstract:
On behalf of the editorial committee of International Journal of Automation Technology, I would like to sincerely ask all of you a favour of me to activate this journal since I am convinced that the automation technology is indispensable to the convenience and prosperity of human being. The automation technology began with the development and introduction of numerical control (NC) machine tools in the latter of 1950s. In 1960s, the technology was applied to assemble electric goods and automobiles together with the development of a wide variety of automationrelated methods such as industrial robots, semiconductor technologies and so on. In 1970s, this tendency had greatly affected the automation of production systems, which was called FA (Factory Automation or Flexible Manufacturing System), that is, flexible systems to rapidly cope with the change in the sort and quantity of products. The construction of FA is still continuing even now. The current state of art in production automation is the evolution by making the most of IT (Information Technology), where there are infinite tasks to be solved, for example, the cooperation with design, manufacturing and sales, life cycle control of products from production to waste by IC tag, product liability management, lean production taking account of environment protection and energy saving, product development with individuality and characteristic, production sustaining human skill, manufacture of high value-added products, development of future products, etc. After the bubble disruption in 1990, Japan has been suffering from the economical recession for 15 years, thus resulting in hanging low of automation technology development as well as decreased equipment investment. In addition, our serious problem in Japan is the disappearance of valuable technologies and manufacturing spirit by the mass retirement of engineers who have born the automation technology and supported excellent product manufacture. Thus, it is an important issue to improve and develop the automation technologies further. From the above mentioned viewpoint, the journal focuses on the advanced automation technologies ranging from fundamental technologies to a variety of industrial applications, which meet the requirements, especially from industries. The journal covers all sorts of automation technologies regarding design, manufacturing, assembly, inspection, transportation, logistics, machine tools, robotic system, control system and instruments, and so on. There are some journals with respect to the automation specific to scientific and fundamental research, however, no journal exists, which aims at providing engineering researches and practical developments. Thus, the journal takes up a large amount of practical examples relating advanced automation technologies as review papers, research and development papers, news and interview so that the readers can take interest in the journal. The editorial committee wants IJAT to serve engineers and managers for the requirement of automation technology developments, and is all concerned for your contribution to IJAT.
31
Robinson, David Charles, David Adrian Sanders, and Ebrahim Mazharsolook. "Ambient intelligence for optimal manufacturing and energy efficiency." Assembly Automation 35, no. 3 (August 3, 2015): 234–48. http://dx.doi.org/10.1108/aa-11-2014-087.
Full textAbstract:
Purpose – This paper aims to describe the creation of innovative and intelligent systems to optimise energy efficiency in manufacturing. The systems monitor energy consumption using ambient intelligence (AmI) and knowledge management (KM) technologies. Together they create a decision support system as an innovative add-on to currently used energy management systems. Design/methodology/approach – Energy consumption data (ECD) are processed within a service-oriented architecture-based platform. The platform provides condition-based energy consumption warning, online diagnostics of energy-related problems, support to manufacturing process lines installation and ramp-up phase and continuous improvement/optimisation of energy efficiency. The systems monitor energy consumption using AmI and KM technologies. Together they create a decision support system as an innovative add-on to currently used energy management systems. Findings – The systems produce an improvement in energy efficiency in manufacturing small- and medium-sized enterprises (SMEs). The systems provide more comprehensive information about energy use and some knowledge-based support. Research limitations/implications – Prototype systems were trialled in a manufacturing company that produces mooring chains for the offshore oil and gas industry, an energy intensive manufacturing operation. The paper describes a case study involving energy-intensive processes that addressed different manufacturing concepts and involved the manufacture of mooring chains for offshore platforms. The system was developed to support online detection of energy efficiency problems. Practical implications – Energy efficiency can be optimised in assembly and manufacturing processes. The systems produce an improvement in energy efficiency in manufacturing SMEs. The systems provide more comprehensive information about energy use and some knowledge-based support. Social implications – This research addresses two of the most critical problems in energy management in industrial production technologies: how to efficiently and promptly acquire and provide information online for optimising energy consumption and how to effectively use such knowledge to support decision making. Originality/value – This research was inspired by the need for industry to have effective tools for energy efficiency, and that opportunities for industry to take up energy efficiency measures are mostly not carried out. The research combined AmI and KM technologies and involved new uses of sensors, including wireless intelligent sensor networks, to measure environment parameters and conditions as well as to process performance and behaviour aspects, such as material flow using smart tags in highly flexible manufacturing or temperature distribution over machines. The information obtained could be correlated with standard ECD to monitor energy efficiency and identify problems. The new approach can provide effective ways to collect more information to give a new insight into energy consumption within a manufacturing system.
32
WEE, HUI-MING, SHU-YUN PENG, and CHING-CHOW YANG. "A COMPARATIVE STUDY OF TAIWANESE PRODUCTION MANAGEMENT SYSTEM WITH DIFFERENT OUTSOURCING STRATEGY." Journal of Advanced Manufacturing Systems 08, no. 02 (December 2009): 193–203. http://dx.doi.org/10.1142/s0219686709001729.
Full textAbstract:
Through an appropriate process design and outsourcing decision, enterprises are able to control critical factors and performance indices to maintain flexibility and robustness. This study uses an empirical research to investigate the performance of Taiwanese production management systems. We analyze and compare the differences between the production management system with low, middle and high outsourcing rate strategies through questionnaires. There are four critical factors which influence customer satisfaction, of which flexible capability is the most influential. Satisfied suppliers will promote a good performance within SCM, and it will improve customer services. Enterprises should cooperate with their suppliers closely in their business collaborations. The middle outsourcing rate strategy has better flexibility in product and process change. These findings give enterprises managerial insights to achieve good performance and production management objectives.
33
Bortolini, Marco, Lucia Botti, Francesco Gabriele Galizia, and Alberto Regattieri. "Bi-Objective Design and Management of Reconfigurable Manufacturing Systems to Optimize Technical and Ergonomic Performances." Applied Sciences 11, no. 1 (December 29, 2020): 263. http://dx.doi.org/10.3390/app11010263.
Full textAbstract:
In the last decades, Reconfigurable Manufacturing Systems (RMSs) rose as an emerging manufacturing strategy matching the modern industrial and market requirements asking for a wide variety of products in flexible batches. A traditional reconfigurable manufacturing environment consists of dynamic cells, called Reconfigurable Machine Cells (RMCs), including a set of machines called Reconfigurable Machine Tools (RMTs). Such machines are characterized by fixed elements, i.e., basic modules, and dynamic elements, i.e., auxiliary modules, allowing them to perform different operations. Despite their automation level, these systems require the intervention of the human operators in performing specific tasks, e.g., handling of the auxiliary modules from the warehouse to the RMTs and their assembly/disassembly to/from the RMTs. This issue rises relevant ergonomic and safety questions due to the human–machine collaboration. Following this stream, this paper proposes and applies a bi-objective optimization model for the design and management of RMSs. The technical objective function minimizes the reconfiguration time, i.e., the time needed to equip the RMTs with the required auxiliary modules, and the part and auxiliary module travel time among the RMCs. The ergonomic objective function minimizes the repetitive movements performed by the human operators during the working activities according to the ISO 11228-3 standard. Results show the existence of a good trade-off between the two objective functions, proving the possibility to improve the ergonomic conditions of the human operators without excessively increasing the total time needed for RMTs reconfiguration and for part and auxiliary module travelling.
34
Varela, Maria Leonilde R., André S. Santos, Ana M. Madureira, Goran D. Putnik, and Maria Manuela Cruz-Cunha. "Collaborative Framework for Dynamic Scheduling Supporting in Networked Manufacturing Environments." International Journal of Web Portals 6, no. 3 (July 2014): 33–51. http://dx.doi.org/10.4018/ijwp.2014070103.
Full textAbstract:
Scheduling continues to play an important role in manufacturing systems. It enables the production of suitable scheduling plans, considering shared resources between several different products, through several manufacturing environments including networked ones. High levels of uncertainty characterize networked manufacturing environments. Processes have specific and complex requirements and management requisites, along with diversified objectives, which are dynamic and often conflicting. Dynamic adaptation and a real-time response for manufacturing scheduling is still possible and is critical in this new manufacturing environments, which have a flexible nature, where disturbances on working conditions occur on a continuous and even unexpected basis. Therefore, scheduling systems should have the ability of automatically and intelligently maintain a real-time adaptation and optimization of orders production, to effectively and efficiently adapt these manufacturing environments to the inherent dynamic of markets. In this paper a collaborative framework for supporting dynamic scheduling in networked manufacturing environments is proposed, based on a hyper-organization model and on hyper-heuristics, in order to obtain feasible and robust scheduling plans.
35
Atalı, Aykut, and Özalp Özer. "STOCHASTIC MULTI-ITEM INVENTORY SYSTEMS WITH MARKOV-MODULATED DEMANDS AND PRODUCTION QUANTITY REQUIREMENTS." Probability in the Engineering and Informational Sciences 26, no. 2 (April 2012): 263–93. http://dx.doi.org/10.1017/s0269964811000362.
Full textAbstract:
We study a multi-item two-stage production system subject to Markov-modulated demands and production quantity requirements. The demand distribution for each item in each period is governed by a discrete Markov chain. The products are manufactured in two stages. In the first stage, a common intermediate product is manufactured, followed by product differentiation in the second stage. Lower and upper production limits, also known as production smoothing constraints, are imposed on both stages for all items. We propose a close-to-optimal heuristic to manage this system. To do so, we develop a lower bound problem and show that a state-dependent, modified base-stock policy is optimal. We also show when and why the heuristic works well. In our numerical study, the average optimality gap was 4.34%. We also establish some monotonicity results for policy parameters with respect to the production environment. Using these results and our numerical observations, we investigate the joint effect of (i) the two-stage production process, (ii) the production flexibility, and (iii) the fluctuating demand environment on the system's performance. For example, we quantify the value of flexible production as well as the effect of smoothing constraints on the benefits of postponement. We show that a redesign of the production process to allow for delayed product differentiation is more effective and valuable when it is accompanied by an investment in production flexibility.
36
Taylor, Ian. "Overall control within a flexible manufacturing system and the development of a cell controller." Robotica 3, no. 4 (October 1985): 215–20. http://dx.doi.org/10.1017/s0263574700002307.
Full textAbstract:
SUMMARYThe centre of a Flexible Manufacturing System is its computer control. This paper identifies the component parts for computer control and explains how they have been combined to produce a turnkey cell controller, which provides the intelligence requirements to control cells utilising up to six resources that may be a combination of numerically controlled machine tools, inspection machines, workstations, robots, etc. It provides for various types of part/tool transport and schedules the parts movement within the cell. A second computer handles part programme information within the cell and also gathers management information during the cells operation.
37
Kumar, Surinder, Tilak Raj, and Rajesh Attri. "Mapping Structural Relationships Among the Critical Factors of FMS Flexibility." Journal of Advanced Manufacturing Systems 18, no. 03 (September 2019): 469–85. http://dx.doi.org/10.1142/s0219686719500252.
Full textAbstract:
The excessive competition in domestic as well as international market has forced the manufacturing organizations to adopt advance manufacturing systems such as flexible manufacturing system (FMS). Adoption of these systems has resulted into increased productivity and better quality products. In order to continue their presence in cut-throat competitive environment, the manufacturing organizations are exploring the flexibility options of FMS. In order to analyze the flexibility options of FMS, an endeavor has been performed to identify the critical factors (CFs) that are pertinent to the flexibility of FMS. These CFs have a reflective impact in designing of FMS. After ascertaining these CFs, interpretive structural modeling (ISM) and MICMAC approach have been used to establish the structural relationships among these CFs to develop a hierarchical model. The verdicts of this exploration may assist managers to analyze the flexibility options of FMS in their organizations.
38
Zywicki, K., and P. Rewers. "A simulation-based approach to study the influence of different production flows on manufacturing of customized products." Advances in Production Engineering & Management 15, no. 4 (December 24, 2020): 467–80. http://dx.doi.org/10.14743/apem2020.4.379.
Full textAbstract:
Manufacturing products tailored to the individual requirements of customers is a must if companies want to compete effectively on the market. The production of customized goods poses new challenges for all areas of functioning of production systems. It is necessary to adopt such rules and methods that will allow a flexible response to product design changes and their demand In the organization of production flow (materials and information). The article presents research carried out in the SmartFactory laboratory of the Poznań University of Technology regarding the impact of the structure of products (customization) on the realization of current production orders. The research was carried out using the FlexSim simulation environment. Based on simulation experiments for three forms of organization of production flow with varying degrees of flexibility of production resources, an analysis was made of the time of execution of various sets of production orders and the level of use of available working time. The results of research indicate that in the production of products with low and high planned labor consumption, the use of universal production station is the most advantageous. For such a solution, the degree of utilization of the available working time of production stations is also the highest. It was also found that the principles of scheduling production orders affect the effectiveness of the production system. The best results were obtained for the production schedule, where the sequence of production orders was established from the lowest planned time of resource loading.
39
Basu, Protik, and Pranab K. Dan. "Pivoting Lean Manufacturing through Industry 4.0 in the Indian Context." Asian Journal of Engineering and Applied Technology 8, no. 2 (May 5, 2019): 1–7. http://dx.doi.org/10.51983/ajeat-2019.8.2.1147.
Full textAbstract:
Industry 4.0 and lean management both focus on increasing productivity of industrial systems. Industry 4.0 is foreseen to revolutionize today’s manufacturing environment whereas lean management is an integrated techno-operational system which has gained increasing importance in recent times to bring about a competitive state in an organization. Though in the last three decades there have been rigorous studies on lean manufacturing (LM), its implementation in the Indian manufacturing domain is still in its nascent stage. A lack of research to explore the potential use of Industry 4.0 is also noted. Research work on the compatibility of Industry 4.0 with LM is scarce and any study on the role of Industry 4.0 on LM in the Indian manufacturing sector is practically unavailable. The aim of this research is to explore how the fourth industrial revolution, referred to as Industry 4.0, can strategize LM in the Indian manufacturing context. Empirical studies have disclosed that Indian managers are hesitant to go for automation and technological developments. Results of this work reveal that there needs to be a change in attitude and approach. Lean implementers in India need to embrace Industry 4.0 to pivot LM by automating through Cyber-Physical Systems and creating a flexible design and production model of customized and smart products.
40
Madhusudan, Therani. "An Intelligent Mediator-Based Framework for Enterprise Application Integration." Journal of Computing and Information Science in Engineering 4, no. 4 (December 1, 2004): 294–304. http://dx.doi.org/10.1115/1.1818686.
Full textAbstract:
Enterprise Application Integration (EAI) is a major problem confronting manufacturing organizations that have deployed large-scale enterprise information systems and aim to coordinate inter- and intraorganizational product development, supply-chain, and customer management activities. Successful EAI is a key enabling step toward implementation of viable Product Life-cycle Management (PLM) strategies. Extant EAI technologies, such as distributed object and messaging technologies for communication and ontology-based database schema integration, are tedious to develop and maintain in an organization. Though workflow management systems have enabled process coordination of both manual and system-oriented tasks in organizations, coping with the lack of adaptability and inter-operability in workflow systems is a manual and resource intensive effort. Recent advances in (i) standardized, modular, and distributed software delivery frameworks, such as web services; (ii) standard semantic markup languages for developing domain ontologies; and (iii) intelligent process coordination frameworks promise the development of flexible, responsive, integrated, and organic process management architectures. In this paper, we present an intelligent mediator-based architecture for enabling EAI. Intraorganizational information sources and services are made available via a web-services framework. An Integrated Service Planning and Execution (ISP&E) framework interleaves service composition and execution at the mediator to fulfill service requests. Processes that interleave information gathering and transactional tasks are generated using domain-independent Hierarchical Task Network (HTN) AI planning and a domain-specific ontology and then executed in a scalable and reliable manner. Benefits and limitations of mediator-based frameworks for EAI and topics for further research are discussed based on a prototype development experience.
41
KIA, REZA, NIKBAKHSH JAVADIAN, MOHAMMAD MAHDI PAYDAR, and MOHAMMAD SAIDI-MEHRABAD. "A SIMULATED ANNEALING FOR INTRA-CELL LAYOUT DESIGN OF DYNAMIC CELLULAR MANUFACTURING SYSTEMS WITH ROUTE SELECTION, PURCHASING MACHINES AND CELL RECONFIGURATION." Asia-Pacific Journal of Operational Research 30, no. 04 (August 2013): 1350004. http://dx.doi.org/10.1142/s0217595913500048.
Full textAbstract:
This paper develops a novel mixed integer nonlinear programming model for the intra-cell layout design of dynamic cellular manufacturing systems. In dynamic environment, the product mix and part demand are varying during a multi-period planning horizon. As a result, the cell configuration for one period may not be efficient for successive periods and thus necessitates reconfigurations. The proposed model incorporates several design features including intra-cell layout, operation sequence, operation time, alternative process routings, duplicate machines, purchase machine, machine capacity, route selection, production volume of parts, part movements in batch and cell reconfiguration. By considering intra-cell layout and operation sequence, the material handling volume and related cost is calculated more exactly. The objective is to minimize the total costs of inter-cell material handling, forward and backward intra-cell material handling, setting up route, machine relocation, purchasing new machines, machine overhead and machine processing. The main constraints are route selection among flexible routings, machine availability, cell size, machine time-capacity and machine location. The proposed model cannot be solved for large-sized problems optimally within a reasonable amount of computational time. Therefore, an efficient simulated annealing algorithm is developed to overcome NP-hardness of the proposed model.
42
Banaś, Wacław, and Agnieszka Sękala. "Concepts of Flexible Production Line, on the Example of Robotic Cell." Advanced Materials Research 1036 (October 2014): 749–54. http://dx.doi.org/10.4028/www.scientific.net/amr.1036.749.
Full textAbstract:
Modern manufacturing plants even if they produce in large quantities, they often have to change the settings of their production lines. Customers do not want a standard product but personalized models. If the differences are only an option that can be mounted to the finished elements is not difficult. When the differences are much more serious and require changes in the technology of the element. Such orders are collected and made periodically so customers have to wait. Sometimes the wait time is several months. Changing the configuration of the production line or just a robot cell is a difficult and time-consuming process. It is necessary to stop the entire production line, the partially disassemble and installation of new equipment, and after the production of the series, the process repeated. The reconfiguration can take from several hours to several days, even weeks. These changes are costly, and these costs are borne by people buying individual model. Here are examples of the concepts presented elements of an exemplary robotic cell. Different degrees of modification will be presented from simple mechanical systems shortening the time to reconfigure the cell to a fully automatic reconfigurable systems. As an example will be presented to the cell welding. This cell is ready to make a specific item. The concept of adapting the cell to make the like is the first step modification. The next step is to automate the position so that the elements can be produced alternately. The introduction of an additional item of the approximated dimensions to the list made in a cell and automation, is another way to increase the flexibility of the cell. The final stage of the present article is the concept of robotic cell, designed to make the same process for any element. These concepts require a change in transmitting information to each of the stages and the whole process control at every stage. It is possible to transfer productive resources but this requires advanced management methods. Ensuring the mobility of selected measures to increase production efficiency but this requires the use of such multi-agent systems.
43
Song, Sangjae, and Junghee Choi. "Optimization analysis of flexible cellular manufacturing: Route selection and determining the optimal production conditions for ordered products." European Journal of Operational Research 69, no. 3 (September 1993): 399–412. http://dx.doi.org/10.1016/0377-2217(93)90024-h.
Full text
44
DONATH, MARKUS, and ROBERT J. GRAVES. "Flexible assembly systems: an approach for near real-time scheduling and routeing of multiple products." International Journal of Production Research 26, no. 12 (December 1988): 1903–19. http://dx.doi.org/10.1080/00207548808948004.
Full text
45
Kamel, Khaled, and Eman Kamel. "PLC Batch Process Control Design and Implementation Fundamentals." September 2020 2, no. 3 (June 9, 2020): 155–61. http://dx.doi.org/10.36548/jei.2020.3.001.
Full textAbstract:
Batch process control is typically used for repeated chemical reaction tasks. It starts with a measured liquid material filling operations followed by a controlled reaction leading to the discharge or transport of processed quantities of material. The input materials is contained in vessel reactor and subjected to a sequence of processing activities over a recipe predefined duration of time. Batch systems are designed to measure, process, and discharge a varying volume of liquid from drums, tanks, reactors, or other large storage vessel using a programmable logic controller (PLC). These systems are common in pharmaceutical, chemical packaging, Beverage processing, personal care product, biotech manufacturing, dairy processing, soap manufacturing, and food processing industries. This paper briefly discusses the fundamental techniques used in specifying, designing, and implementing a PLC batch process control [1, 2]. A simplified batch process is used to illustrate key issues in designing and implementing such systems. In addition to the structured PLC ladder design; more focus is given to safety requirements, redundancy, interlocking, input data validation, and safe operation. The Allen Bradley (AB) SLC 500 PLC along with the LogixPro simulator are used to illustrate the concepts discussed in this paper. Two pumps are used to bring in material during the tank filling and a third pump is used to drain processed product. The three pumps are equipped with flow meters providing pulses proportional to the actual flow rate through the individual pipes. The tank material is heated to a predefined temperature duration followed by mixing for a set time before discharge. Batch control systems provides automated process controls, typically and universally using PLC’s networked to HMI’s and other data storage, analysis, and assessment computers. The overall system perform several tasks including recipe development and download, production scheduling, batch management and execution, equipment performance monitoring, inventory, production history and tracking functionalities. Flexible batch control systems are designed to accommodate smaller batches of products with greater requirements / recipes variation, efficiently and quickly. In addition to providing process consistency, continuous batch process control quality improvements are attained through the automatic collection and analysis of real-time reliable and accurate event performance data [3, 4].
46
Kuokka, Daniel R., and Larry T. Harada. "Communication infrastructure for concurrent engineering." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 9, no. 4 (September 1995): 283–97. http://dx.doi.org/10.1017/s0890060400002833.
Full textAbstract:
AbstractIntegrating multiple engineering perspectives is critical to designing ever more complex products, but this introduces great potential for miscommunication leading to design conflicts. The SHADE (SHAred Dependency Engineering) project is defining agent infrastructure technology that supports dynamic, knowledge-based communication among heterogeneous engineering tools, collaboration systems, and conflict management systems. Building on technologies for defining a shared formal vocabulary and protocols for exchanging information, SHADE is developing facilitators that assist in locating and disseminating information. The result is a flexible infrastructure that helps existing engineering tools work together more effectively, and that supports a variety of new conflict management approaches. This article outlines the facilitation and application agents created by SHADE, and provides an in-depth example of their application to an engineering task.
47
Ji Shukla, Om, Gunjan Soni, and G. Anand. "An application of grey based decision making approach for the selection of manufacturing system." Grey Systems: Theory and Application 4, no. 3 (October 28, 2014): 447–62. http://dx.doi.org/10.1108/gs-06-2014-0022.
Full textAbstract:
Purpose – In the current customer-driven market, the manufacturers have to be highly responsive and flexible to deliver a variety of products. Hence, to meet this dynamic and uncertain market changes, the production system, which enables the manufacturing of such variety of products should be able to meet such diverse, dynamic changes. Hence, selecting a suitable manufacturing system is a key strategic decision for today's manufacturing organization, which needs to survive in these uncertain market conditions. Hence, the purpose of this paper is to present a decision-making model for selecting the best manufacturing system and also discuss the criteria on the basis of which the management can select the same. Design/methodology/approach – A case of small- and medium-sized company is presented, in which the management is deciding to establish a most suitable manufacturing system. To supplement this, a suitable multi-criteria decision-making model (MCDM), the grey approach is used to analyze manufacturing system alternatives based on various decision criteria to arrive a comparative ranking. Findings – An extensive analysis of grey-based decision-making model described grey decision matrix, grey normalized decision matrix, grey weighted normalized decision matrix and grey possibility degrees for three alternatives revealed that lean manufacturing systems was found to be the most suitable manufacturing system among three alternatives for a given case. Research limitations/implications – The same study can be extended by including sub-criteria with main criteria for selection of manufacturing system by utilizing two MCDM techniques such as AHP or ANP with Grey approach. Practical implications – The Grey approach has been discussed in a detailed way and it will be useful for the managers to use this approach as a tool for solving similar type of decision-making problems in their organizations in the future. Originality/value – Although, the problem of selecting a suitable manufacturing system is often addressed both in practice and research, very few reports are available in the literature of Grey-based decision models that demonstrated its application for selecting a suitable manufacturing systems.
48
DONATH, MARKUS, and ROBERT J. GRAVES. "Flexible assembly systems: test results for an approach for near real-time scheduling and routing of multiple products." International Journal of Production Research 27, no. 2 (February 1989): 215–27. http://dx.doi.org/10.1080/00207548908942543.
Full text
49
Sandrin, Enrico, Alessio Trentin, Chiara Grosso, and Cipriano Forza. "Enhancing the consumer-perceived benefits of a mass-customized product through its online sales configurator." Industrial Management & Data Systems 117, no. 6 (July 10, 2017): 1295–315. http://dx.doi.org/10.1108/imds-05-2016-0185.
Full textAbstract:
Purpose The purpose of this paper is to focus on online sales configurators (SCs), also known as mass-customization toolkits, which enable consumers to self-customize their product solutions online. The paper aims to provide new insights into which characteristics of an online SC increase the consumer-perceived benefits of possessing a mass-customized product. Design/methodology/approach Previous studies on mass customization (MC), sales configuration, and learning psychology are used to develop the research hypotheses, which are tested by analyzing data from 675 configuration experiences from a convenience sample of potential consumers using 31 real online SCs for laptops/notebooks, economy cars, and sport shoes/sneakers. Findings The paper finds support for the hypotheses that SCs with higher flexible-navigation, focused-navigation, and easy-comparison capabilities enhance not only the traditionally considered utilitarian benefit (UT), but also the consumer-perceived uniqueness benefit (UN) and self-expressiveness (SE) benefit (SE). Furthermore, consistent with the study’s hypotheses, SCs with higher benefit-cost communication and user-friendly product-space description capabilities are found to improve UT. The hypotheses that these two capabilities enhance UN and SE, however, are not supported. Post-hoc analyses suggest that the examined SCs are generally UT-centered and need improvement of their ability to communicate the UN and the SE a consumer could derive from the purchase of his/her configured product. Originality/value While prior research has primarily been concerned with conceptually arguing and empirically showing that uniqueness and self-expressiveness are two additional sources of consumer value in business-to-consumer MC, this is the first empirical study that offers insights into which characteristics online SCs should have in order to draw from these two value sources.
50
Stadnicka, Dorota, and Kozo Sakano. "Employees Motivation and Openness for Continuous Improvement: Comparative Study in Polish and Japanese Companies." Management and Production Engineering Review 8, no. 3 (September 1, 2017): 70–86. http://dx.doi.org/10.1515/mper-2017-0030.
Full textAbstract:
AbstractCurrently, companies must change and evolve to keep pace with the changing environment, customers’ requirements and to be better than their competitors. The changes result from the need to adapt the products to new customers’ requirements as well as to maintain competitive prices of their products. Therefore, companies should be flexible to guarantee short lead time and minimalize their costs to offer a good price for the customers. At the same time, companies should create good work environment for their employees in order to get them involved in improvement processes. In order to survive and develop companies should motivate and involve their employees into a continuous improvement process in different areas of the company. Unfortunately, as based on the companies’ practice and previous research, in many cases employees are not willing to engage in the company development. Continuous improvement is the basis of the philosophy of Quality Management and Lean Manufacturing, which come from Toyota Production System (TPS). The TPS eventually spread throughout the world, and it is held up as an example of the proper management of a production system. The assumptions of TPS system were used to build systems in other companies, but not always with the same success as it was in Toyota. For this reason, the authors of this paper seek to answer the question of whether there are differences in engagement in a continuous improvement process between employees in a Japanese company and a Polish company operating in the same industry and realizing the similar manufacturing. In order to verify this, the research was conducted in two manufacturing companies which operate in the automotive industry. The results of the study and their analysis are presented in the work.