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Journal articles on the topic 'Flexible manufacturing systems. Flexible manufacturing systems Production planning'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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1

Selmaier, A., T. Donhauser, T. Lechler, J. Zeitler, and J. Franke. "Simulationsgestützte Produktionsplanung flexibler Fertigungssysteme*/Simulation-based production planning of flexible manufacturing systems." wt Werkstattstechnik online 109, no. 04 (2019): 242–49. http://dx.doi.org/10.37544/1436-4980-2019-04-40.

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Während sich das Verhalten starr verketteter Systeme relativ einfach mittels Materialflusssimulationen modellieren lässt, sind herkömmliche Simulationsansätze für flexible Fertigungssysteme aufgrund des hohen Datenerhebungs- sowie Parametrisieraufwands nur bedingt geeignet. Jedoch kann durch das automatische Übertragen von Echtzeitdaten in das Simulationsmodell der aktuelle Zustand solcher Systeme deutlich verbessert abgebildet werden. Der Beitrag stellt ein Konzept für die simulationsgestützte Produktionsplanung schnellveränderlicher Systeme vor.   While the behaviour of rigidly linked systems is relatively easy to model by means of material flow simulation, traditional simulation approaches are only suitable to a limited extent for flexible manufacturing systems due to the high data collection and parameterization effort. However, the use of real-time data can significantly improve the simulation of such systems. This paper presents an approach for simulation-based production planning of rapidly changing systems.
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2

Srivastava, Bharatendu, and Wun-Hwa Chen. "Batching in production planning for flexible manufacturing systems." International Journal of Production Economics 43, no. 2-3 (1996): 127–37. http://dx.doi.org/10.1016/0925-5273(96)00036-9.

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3

SUGIMURA, Nobuhiro, and Koji IWAMURA. "2201 DYNAMIC INTEGRATED PROCESS PLANNING AND PRODUCTION CONTROL IN FLEXIBLE MANUFACTURING SYSTEMS WITH AUTONOMOUS AGENTS." Proceedings of Manufacturing Systems Division Conference 2007 (2007): 37–38. http://dx.doi.org/10.1299/jsmemsd.2007.37.

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4

Košťál, Peter, and Daynier Rolando Delgado Sobrino. "Flexible Manufacturing System for Drawingless Manufacturing." Key Engineering Materials 581 (October 2013): 527–32. http://dx.doi.org/10.4028/www.scientific.net/kem.581.527.

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Flexible Manufacturing Systems provide a fast reaction possibility to the changes in production conditions. As production conditions change, other changes in the final product like changes of the product variants, or other unpredictable events may be also expected. For achieving a quick responsibility of production, it is necessary to leave the traditional form of production process planning. Nowadays most of the products are designed by using the CAx software. The product design 3D model contains not only the geometrical data of product, but may contain a part of the process plan and technological data as well.
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5

Košťál, Peter, Daynier Rolando Delgado Sobrino, Radovan Holubek, and Roman Ružarovský. "Laboratory of Flexible Manufacturing System for Drawingless Manufacturing." Applied Mechanics and Materials 693 (December 2014): 3–8. http://dx.doi.org/10.4028/www.scientific.net/amm.693.3.

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Flexible Manufacturing Systems provide a fast reaction possibility to the changes in production conditions. For achieving a quick responsibility of production, it is necessary to leave the traditional form of production process planning. Nowadays, most of the products are designed by using CAx software. The product design of 3D model contains not only the geometrical data of product, but it may contain a part of the process plan and technological data as well.
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6

VENTURA, JOSE A., F. FRANK CHEN, and CHIH-HANG WU. "Grouping parts and tools in flexible manufacturing systems production planning." International Journal of Production Research 28, no. 6 (1990): 1039–56. http://dx.doi.org/10.1080/00207549008942774.

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7

ROLSTADÅS, ASBJØRN. "Flexible design of production planning systems." International Journal of Production Research 26, no. 3 (1988): 507–20. http://dx.doi.org/10.1080/00207548808947881.

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8

STECKE, KATHRYN E., and N. RAMAN. "PRODUCTION PLANNING DECISIONS IN FLEXIBLE MANUFACTURING SYSTEMS WITH RANDOM MATERIAL FLOWS." IIE Transactions 26, no. 5 (1994): 2–17. http://dx.doi.org/10.1080/07408179408966624.

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9

Dean, Burton V., Yung-Mok Yu, and Marc J. Schniederjans. "A goal programming approach to production planning for flexible manufacturing systems." Journal of Engineering and Technology Management 6, no. 3-4 (1990): 207–20. http://dx.doi.org/10.1016/0923-4748(90)90010-5.

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10

Haurie, A. "Time scale decomposition in production planning for unreliable flexible manufacturing systems." European Journal of Operational Research 82, no. 2 (1995): 339–58. http://dx.doi.org/10.1016/0377-2217(94)00268-h.

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11

Diaz C., Jenny L., and Carlos Ocampo-Martinez. "Optimal production planning for flexible manufacturing systems: an energy-based approach." IFAC-PapersOnLine 53, no. 2 (2020): 10461–67. http://dx.doi.org/10.1016/j.ifacol.2020.12.2789.

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12

Patchell, J. "Composing Robot Production Systems: Japan as a Flexible Manufacturing System." Environment and Planning A: Economy and Space 25, no. 7 (1993): 923–44. http://dx.doi.org/10.1068/a250923.

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In this paper, case-study evidence of the composition of four robot production systems is provided to reveal the linkages between local, regional, and national social divisions of labour. The relation-specific skill epitomizes the sophisticated procedures used to compose production systems, and the four case studies provide evidence of the communalities and varieties of these procedures. The geography of the interrelationships of the vertical divisions of labour of design-supplied suppliers and of the horizontal division of labour of design-approved suppliers is discussed. The cooperation and competition within this social division of labour allows Japan to function as a flexible manufacturing system.
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13

CHEN, F. F., J. l. KER, and K. KLEAWPATINON. "An effective part-selection model for production planning of flexible manufacturing systems." International Journal of Production Research 33, no. 10 (1995): 2671–83. http://dx.doi.org/10.1080/00207549508904838.

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14

Belyanin, P. N., I. V. Bobrova, and A. Gonzalez-Sabater. "Principles of Process Planning Automation Under Flexible Manufacturing Systems (FMS) Production Preparation." IFAC Proceedings Volumes 19, no. 2 (1986): 163–67. http://dx.doi.org/10.1016/s1474-6670(17)64116-8.

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15

Atmani, A. "A production planning model for flexible manufacturing systems with setup cost consideration." Computers & Industrial Engineering 29, no. 1-4 (1995): 723–27. http://dx.doi.org/10.1016/0360-8352(95)00162-t.

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16

Zhu, Ming Qiang, and Zu Xu Zou. "Research on Middle and Small Manufacture Enterprise E-Commerce Application Systems." Advanced Materials Research 933 (May 2014): 819–23. http://dx.doi.org/10.4028/www.scientific.net/amr.933.819.

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The article first analyses e-commerce new environment on medium manufacturing enterprise requires, current medium manufacturing enterprise achieved e-commerce has many difficult, should e-commerce correctly awareness, and full planning, and points step implementation, and e-commerce and enterprise integration, and construction features of e-commerce platform, and procurement and supply chain of collaborative management, and attention customer management, and variety e-commerce of mode mixed, and flexible effective operations, and logistics socialization, views, focus on small and medium manufacturing enterprises in e-commerce applications to be innovative in design, production and management of agile and flexible production strategies.
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17

LEE, HEUNGSOON FELIX, and KATHRYN E. STECKE. "Production planning for flexible flow systems with limited machine flexibility." IIE Transactions 30, no. 7 (1998): 669–84. http://dx.doi.org/10.1080/07408179808966510.

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18

Ihlenfeldt, Steffen, Tim Wunderlich, Marian Süße, et al. "Increasing Resilience of Production Systems by Integrated Design." Applied Sciences 11, no. 18 (2021): 8457. http://dx.doi.org/10.3390/app11188457.

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The paper presents a framework for considering resilience as an integrated aspect in the design of manufacturing systems. The framework comprises methods for the assessment of resilience, supply chain and production planning, flexible execution and control as well as modular and skill-based methods for automation systems. A basic classification of risk categories and their impacts on manufacturing environments is given so that a concept of reconfigurable and robust production systems can be derived. Based on this, main characteristics and concepts of resilience are applied to manufacturing systems. As a lever of increased resilience on business and supply chain level, options for synchronized production planning are presented in a discrete event simulation. Furthermore, a concept to increase resilience on the level of business process execution is investigated, allowing manufacturing tasks to be rescheduled during runtime using a declarative approach to amend conventional business process models.
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19

Lee, H. F. "Production planning for flexible manufacturing systems with multiple machine types: A practical method." International Journal of Production Research 36, no. 10 (1998): 2911–27. http://dx.doi.org/10.1080/002075498192544.

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20

Minguez, Jorge, Stefan Silcher, Philipp Riffelmacher, and Bernhard Mitschang. "A Service Bus Architecture for Application Integration in the Planning and Production Phases of a Product Lifecycle." International Journal of Systems and Service-Oriented Engineering 2, no. 2 (2011): 21–36. http://dx.doi.org/10.4018/jssoe.2011040102.

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Constantly changing business conditions require a high level of flexibility in business processes as well as an adaptive and fully interoperable IT infrastructure in today’s manufacturing environments. The lack of flexibility prevents manufacturing companies from improving their responsiveness and adapting their workflows to turbulent scenarios. In order to achieve highly flexible and adaptive workflows, information systems in digital factories and shop floors need to be integrated. The most challenging problem in such manufacturing environments is the high heterogeneity of the IT landscape, where the integration of legacy systems and information silos has led to chaotic architectures over the last two decades. In order to overcome this issue, the authors present a flexible integration platform that allows a loose coupling of distributed services in event-driven manufacturing environments. The proposed approach enables a flexible communication between digital factory and shop floor components by introducing a service bus architecture. This solution integrates an application-independent canonical message format for manufacturing events, content-based routing and transformation services as well as event processing workflows.
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21

Mohamed, Zubair M., and Manish Bachlaus. "An integrated tool planning and production planning problem for flexible manufacturing systems using genetic algorithm." International Journal of Intelligent Systems Technologies and Applications 2, no. 4 (2007): 389. http://dx.doi.org/10.1504/ijista.2007.014033.

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22

Ranky, Paul G. "A generic tool management system architecture for flexible manufacturing systems (FMS)." Robotica 6, no. 3 (1988): 221–34. http://dx.doi.org/10.1017/s0263574700004331.

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SUMMARYConsidering the fact that Flexible Manufacturing Systems (FMS) should be able to accommodate a variety of different parts in random order, tool management at cell level and tool transportation, tool data management, tooling data collection, tool maintenance, and manual and/or robotized tool assembly at FMS system level are very important. Tooling information in FMS is used by several subsystems, including: production planning, process control, dynamic scheduling, part programming, tool preset and maintenance, robotized and/or manual tool assembly, stock control and materials storage.The paper summarizes the major tasks to be solved when designing tool management systems for FMS, as well as gives a solution for describing the data structure of a tool data base integrated with a generic tool description method, and shows a sample transaction of the way the FMS real-time control system can access and use this data base.
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23

CHUNG, SHU-HSING, and CHIEN-WEN LIN. "Building a short-term production planning system for flexible manufacturing systems: an integration viewpoint." Production Planning & Control 4, no. 2 (1993): 112–27. http://dx.doi.org/10.1080/09537289308919429.

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24

Schultz, C., F. Keller, S. Braunreuther, and G. Prof Reinhart. "Die PPS für eine energieflexible Fabrik*/Energy-flexible production planning and control." wt Werkstattstechnik online 106, no. 04 (2016): 193–98. http://dx.doi.org/10.37544/1436-4980-2016-04-3.

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Unternehmen, die ihren Energiebedarf gezielt am Energieangebot beziehungsweise den aktuellen Strompreisen ausrichten, können schon heute Energiekosten sparen und zur Stabilisierung der Stromnetze beitragen. Der Fachartikel zeigt auf, welche Datengrundlage ein produzierendes Unternehmen für einen flexiblen Energieeinsatz schaffen muss. Ausgehend von Anforderungen der energieorientierten Produktionsplanung und -steuerung wird dargestellt, wie die Datenerhebung, -auswertung und -nutzung gestaltet werden.   Companies which specifically align their energy demand with energy supply or current prices, can already save energy costs and contribute to the stabilization of the power grid. This article points out which data foundation a manufacturing company needs to create for a flexible use of energy. Based on requirements of energy-oriented production planning and control it is shown how the collection, analysis and use of this data can be organized.
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25

Unterberger, Eric, Florian Karl, and Gunther Reinhart. "Energy Concepts for Manufacturing Companies." Applied Mechanics and Materials 655 (October 2014): 27–32. http://dx.doi.org/10.4028/www.scientific.net/amm.655.27.

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Industry is one of the major energy consumers in order to fulfill the social responsibility of the energy turnaround, with the result to involve companies to use their own generated renewable energy. This objective poses sever challenges for industry. The occurring volatile energy can only be handled by an energy flexible production, which allows the adaption of different energy levels. These must be defined already in the planning stages, so that the production can react to the varying energy availability. A harmonized energy supply and energy demand requires a method to plan both systems.
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26

Soori, Mohsen, and Mohammed Asmael. "Classification of research and applications of the computer aided process planning in manufacturing systems." Independent Journal of Management & Production 12, no. 5 (2021): 1250–81. http://dx.doi.org/10.14807/ijmp.v12i5.1397.

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The Computer Aided Process Planning (CAPP) systems are recently developed in manufacturing engineering to provide links between Computer Aided Design (CAD) and Computer Aided Manufacturing (CAM) systems. The CAPP systems are developed by considering the different issues of computer applications in production engineering. Optimization techniques can be applied to the CAPP to increase efficiency in part production processes. The energy consumption of part production process can be analyzed and optimized using the CAPP systems in order to increase added value in the part manufacturing process. Also, artificial neural networks as well as cloud manufacturing systems can be applied to the CAPP systems to share advantages of the different CAPP systems in different industry applications. Flexible process planning systems are developed using dynamic CAPP in order to cope with product varieties in process of part production. To develop potential energy saving strategies during product design and process planning stages, the advanced CAPP systems can be used. In this paper, a review of Computer Process Planning systems (CAPP) is presented and future research works are also suggested. It has been observed that the research filed can be moved forward by reviewing and analyzing recent achievements in the published papers.
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27

Thamaraiselvan, V., and N. Ramakrishnan. "Flexible Process Planning Design and Resource Optimization." Shanlax International Journal of Management 8, S1-Feb (2021): 38–48. http://dx.doi.org/10.34293/management.v8is1-feb.3756.

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Manufacturing processes undergo various transformations based on technological advancements and industry expectations. At initial times, during the period of first Industrial revolution, products were getting manufactured using human capabilities and skills. Then, electrically-driven motors, machines and conveyors were used. Now in the fourth Industrial revolution, Industries are equipped with automation, robots and cyber-physical systems. But adopting such technologies requires a high capital investment which cannot be accommodated by some start-ups. In this research paper, a case of a start-up which manufactures straws and vessel scrubbers in an eco-friendly manner as an initiative towards sustainability has been discussed. The key product of the company is biodegradable straws which are manufactured from coconut leaves through a set of processes. The scope of the research is to develop a labour-intensive process planning model. Managing contemporary issues is a big task for the company because of the dynamic nature of the environment. In this case, the demand for straws changes based on customer preference and accordingly, the manufacturing processes need to be revised. Hence, developing a rigid planning model is not an effective solution, so that, flexible manufacturing process needs to be developed. There is always a scope of improvement towards betterment and optimization in a manufacturing process. It is not necessary that the improvements should lead to drastic results. Japanese manufactures who bring the Toyota Production System (TPS) believe that small improvements in a continual basis will fetch better results in terms of quality, efficiency and lead time reduction. Once the model is developed, areas of improvement to optimize the resources are found out and iterations of process planning model were carried over to improve the efficiency. Through the study, it is found that the development of a flexible process plan is required to compete with the changing business scenarios.
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Ivanov, Vitalii, Oleksandr Liaposhchenko, Yuliia Denysenko, and Ivan Pavlenko. "Ensuring economic efficiency of flexible fixtures in multiproduct manufacturing." Engineering Management in Production and Services 13, no. 1 (2021): 53–62. http://dx.doi.org/10.2478/emj-2021-0004.

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Abstract The first-priority directions for modern engineering, especially for multiproduct manufacturing, include the intensification of manufacturing processes, increasing the efficiency of technological equipment, and reducing the time required to implement technological solutions. Fixture design is a complicated and time-consuming process that requires considering many parameters of the closed-loop technological system “machine tool — fixture — cutting tool — workpiece”. One machined part can have several fixture layouts corresponding to all specified parameters; however, their effectiveness differs depending on production conditions. Search for an optimal fixture for specified production conditions is an essential stage of production planning. It has been proved that the efficiency of a manufacturing process should be assessed using single economic indicator — the cost of machining, which considers the costs of time, the total costs for process realisation, and a batch of parts. The paper aims to substantiate the efficiency of manufacturing processes in machining complex parts using flexible fixtures by developing a mathematical model that considers the cost of time, the cost of implementing the manufacturing process, and the batch value of parts production. This approach estimates the efficiency of manufacturing processes for machining complex parts and choosing the flexible fixture layout that corresponds to specific production conditions. It was proved that flexible fixtures could be effectively used for machining small batches of parts with frequent readjustments to new workpieces and short-term machining. A tendency has been established that the higher number of nomenclature of parts contributes to expanding the scope of the effective use of flexible fixtures.
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29

Eversheim, W., and H. J. Schmitz-Mertens. "Integration of Flexible Manufacturing Systems into Production Planning and Control of Small to Medium Size Companies." CIRP Annals 37, no. 1 (1988): 429–32. http://dx.doi.org/10.1016/s0007-8506(07)61670-9.

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30

CHUNG, SHU-HSING, and CHIN-YI FANG. "Using the virtual cell concept for short-term production planning for flexible job shop manufacturing systems." International Journal of Computer Integrated Manufacturing 6, no. 4 (1993): 237–51. http://dx.doi.org/10.1080/09511929308944575.

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31

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.

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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.
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32

Persi, Piero, Walter Ukovich, Raffaele Pesenti, and Marino Nicolich. "A hierarchic approach to production planning and scheduling of a flexible manufacturing system." Robotics and Computer-Integrated Manufacturing 15, no. 5 (1999): 373–85. http://dx.doi.org/10.1016/s0736-5845(99)00034-4.

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33

Chen, Jian-Hung, and Shinn-Ying Ho. "A novel approach to production planning of flexible manufacturing systems using an efficient multi-objective genetic algorithm." International Journal of Machine Tools and Manufacture 45, no. 7-8 (2005): 949–57. http://dx.doi.org/10.1016/j.ijmachtools.2004.10.010.

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34

Winstanley, Graham, and Kunito Hoshi. "Activity aggregation in model-based AI planning systems." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 7, no. 3 (1993): 209–28. http://dx.doi.org/10.1017/s0890060400000895.

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When model-based planning systems are scaled up to deal with full-sized industrial projects, the resulting complexity in the project-specific model and production plan can create serious problems, not only in dealing with such complexity computationally, but also in user-acceptance. In the model-based planning system described in this paper, activities are dynamically generated, inherently at the detailed level of individual physical components. However, it is possible to intelligently group together collections of components which would be common to realistic work packages, and hence schedule on the basis of virtual components existing within an abstraction hierarchy. This paper describes a technique of project planning within an integrated design/planning system, which exploits fundamental knowledge of engineered systems and provides powerful and flexible planning functionality.
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35

Wang, Wanzhu, Qazi Salman Khalid, Muhammad Abas, et al. "Implementation of POLCA Integrated QRM Framework for Optimized Production Performance—A Case Study." Sustainability 13, no. 6 (2021): 3452. http://dx.doi.org/10.3390/su13063452.

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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.
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36

Jürgen Warnecke, Hans, and Wilhelm Dangelmaier. "Functions and interfaces in a flexible production planning and control system." Computer Integrated Manufacturing Systems 4, no. 1 (1991): 31–41. http://dx.doi.org/10.1016/0951-5240(91)90006-k.

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37

Gehlhoff, Felix, and Alexander Fay. "On agent-based decentralized and integrated scheduling for small-scale manufacturing." at - Automatisierungstechnik 68, no. 1 (2020): 15–31. http://dx.doi.org/10.1515/auto-2019-0105.

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AbstractSmall-scale manufacturing often relies on flexible production systems that can cope with frequent changes of products and equipment. Transports are a significant part of the production flow, especially in the domain of large and heavy workpieces that requires explicit planning to avoid unnecessary delays. This contribution takes a detailed look at how to create feasible integrated schedules within a decentralised or even heterarchical architecture and which information the agents have to exchange. These schedules incorporate constraints such as the blocking-constraint. They also consider dynamic setup and operation durations while finding a good-enough solution. The proposed agent-based solution applies to a wide variety of scheduling problems and reveals positive properties in terms of scalability and reconfigurability.
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38

Andronie, Mihai, George Lăzăroiu, Roxana Ștefănescu, Cristian Uță, and Irina Dijmărescu. "Sustainable, Smart, and Sensing Technologies for Cyber-Physical Manufacturing Systems: A Systematic Literature Review." Sustainability 13, no. 10 (2021): 5495. http://dx.doi.org/10.3390/su13105495.

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With growing evidence of the operational performance of cyber-physical manufacturing systems, there is a pivotal need for comprehending sustainable, smart, and sensing technologies underpinning data-driven decision-making processes. In this research, previous findings were cumulated showing that cyber-physical production networks operate automatically and smoothly with artificial intelligence-based decision-making algorithms in a sustainable manner and contribute to the literature by indicating that sustainable Internet of Things-based manufacturing systems function in an automated, robust, and flexible manner. Throughout October 2020 and April 2021, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “Internet of Things-based real-time production logistics”, “sustainable smart manufacturing”, “cyber-physical production system”, “industrial big data”, “sustainable organizational performance”, “cyber-physical smart manufacturing system”, and “sustainable Internet of Things-based manufacturing system”. As research published between 2018 and 2021 was inspected, and only 426 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, we selected 174 mainly empirical sources. Further developments should entail how cyber-physical production networks and Internet of Things-based real-time production logistics, by use of cognitive decision-making algorithms, enable the advancement of data-driven sustainable smart manufacturing.
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Wu, Yongming, Xudong Zhao, Yanxia Xu, and Yuling Chen. "A flexible planning methodology for product family assembly line based on improved NSGA_II." Assembly Automation 40, no. 4 (2020): 625–39. http://dx.doi.org/10.1108/aa-05-2019-0098.

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Purpose The product family assembly line (PFAL) is a mixed model-assembly line, which is widely used in mass customization and intelligent manufacturing. The purpose of this paper is to study the problem of PFAL, a flexible (evolution) planning method to respond to product evolution for PFAL, to focus on product data analysis and evolution planning method. Design/methodology/approach The evolution balancing model for PFAL is established and an improved NSGA_II (INSGA_II) is proposed. From the perspective of data analysis, dynamic characteristics of PFAL are researched and analyzed. Especially the tasks, which stability is considered, can be divided into a platform and individual task. In INSGA_II algorithm, a new density selection and a decoding method based on sorting algorithms are proposed to compensate for the lack of traditional algorithms. Findings The effectiveness and feasibility of the method are validated by an example of PFAL evolution planning for a family of similar mechanical products. The optimized efficiency is significantly improved using INSGA_II proposed in this paper and the evolution planning model proposed has a stronger ability to respond to product evolution, which maximizes business performance over an effective period of time. Originality/value The assembly line designers and managers in discrete manufacturing companies can obtain an optimal solution for PFAL planning through the evolution planning model and INSGA-II proposed in this paper. Then, this planning model and optimization method have been successfully applied in the production of small wheel loaders.
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40

Sebenova, Silvia, Katarina Krajcova, and Frantisek Pechacek. "Methods of Planning, Running and Optimization of Material Flow in the Laboratory of Flexible Manufacturing Systems with Robotized Manipulation Supported by No Drawing Production." Applied Mechanics and Materials 220-223 (November 2012): 925–28. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.925.

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This paper is focused on the methods, which are used for planning, running and optimization of material flow. These methods are very important element of each production and company. There are several methods which are used, for example JIT (Just in Time), Kanban, TOC (Theorie of Constraints), etc. A selection of appropriate method affects largely production costs, efficiency and produced quantity. For the laboratory of flexible manufacturing systems with robotized manipulation supported by no drawing production were compared several methods and on the based their advantages, disadvantages and suitability of use was selected the most appropriate method of planning, running and optimization of material flow.
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41

Gyulai, Dávid, András Pfeiffer, and László Monostori. "Robust production planning and control for multi-stage systems with flexible final assembly lines." International Journal of Production Research 55, no. 13 (2016): 3657–73. http://dx.doi.org/10.1080/00207543.2016.1198506.

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42

Delgoshaei, Aidin, Abolfazl Mirzazadeh, and Ahad Ali. "A Hybrid Ant Colony System and Tabu Search algorithm for the production planning of dynamic cellular manufacturing systems while confronting uncertain costs." Brazilian Journal of Operations & Production Management 15, no. 4 (2018): 499–516. http://dx.doi.org/10.14488/bjopm.2018.v15.n4.a4.

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Highlights:
 
 Cellular Manufacturing systems cover a wide range of industries.
 Inflation rate can impose financial harms on cellular manufacturing systems.
 The over-allocation of workers, which usually happens in dynamic systems, causes reduction of the system performance.
 The proposed algorithm in this research can successfully schedule cellular systems to reduce system costs.
 
 Goal:
 The main aim is to determine the best trade-off values between in-house manufacturing and outsourcing, and track the impact of uncertain costs on gained schedules. To be more comprehensive, the performance of human resources is restricted and the partial demands are considered uncertain.
 Design / Methodology / Approach:
 In this paper a new method for minimizing human resource costs, including operating, salary, hiring, firing, and outsourcing in a dynamic cellular manufacturing system is presented where all system costs are uncertain during manufacturing periods and can be affected by inflation rate. For this purpose, a multi-period scheduling model that is flexible enough to use in real industries has been proposed. To solve the proposed model, a hybrid Ant Colony Optimization and the Tabu Search algorithm (ACTS) are proposed and the outcomes are compared with a Branch-and-Bound based algorithm.
 Results:
 Our findings showed that the inflation rate has significant effect on multi-period system planning. Moreover, utilizing system capability by the operator, for promoting and using temporary workers, can effectively reduce system costs. It is also found that workers’ performance has significant effect on total system costs.
 Limitations of the investigation:
 This research covers the cellular manufacturing systems.
 Practical implications:
 The algorithm is applied for 17 series of dataset that are found in the literature. The proposed algorithm can be easily applied in real industries.
 Originality / Value:
 The authors confirm that the current research and its results are original and have not been published before. The proposed algorithm is useful to schedule cellular manufacturing systems and analyse various production conditions.
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43

Reichert, Gerhard, and Dan Duse. "One Piece Production Principle Masters Global Market Challenges." Journal of Konbin 3, no. 1 (2007): 51–62. http://dx.doi.org/10.2478/v10040-008-0004-z.

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One Piece Production Principle Masters Global Market Challenges Successful companies in global markets must be innovative in product development and able to produce their products at lowest possible total cost, while highest quality and product availability in the markets is self evident. They must be able to manage violent market demand- and product design-changes with flexible and agile manufacturing systems [1]. These challenges ask, in the first place, for new strategies in the field of designing appropriate process technologies, production process structures and, as we will show, new methods and considerations for planning and controlling the sequence of product variants within production programs.
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44

Stryhunivska, Olena, and Marek Karkula. "The influence of synergetic planning on the agility of logistics processes in a factory." WUT Journal of Transportation Engineering 120 (March 1, 2018): 385–94. http://dx.doi.org/10.5604/01.3001.0014.4791.

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The return on long-term investments depends on the adaptability of logistic systems. To meet the market requirements logistics processes must be planned in a flexible and versatile method with the use of mutual synergy. The article was based on own research focused on the application of synergistic planning in connection with the digitalization of planning processes in a factory. Furthermore, the design of manufacturing and logistics processes must be associated with planning objects. Synergistic planning synchronizes the phases of production planning with the stages of object planning and describes the factory life cycle from preparation to planning to the exploitation of the facility.
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45

Wollert, Juergen, Markus Lehne, and Bernd E. Hirsch. "Modeling for Ship Design and Production." Journal of Ship Production 8, no. 01 (1992): 48–58. http://dx.doi.org/10.5957/jsp.1992.8.1.48.

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The flexible operating and changing of the complex one-of-a-kind shipbuilding environment has to be based on adequate concepts and instruments to handle the related controlling, planning and implementation tasks. Product modeling defines the physical and application driven product-related information. It is of basic importance to support this environment, especially the concurrent engineering functions, during the whole product life cycle. Process modeling supports the implementation and operation of complex CIM (Computer Integrated Manufacturing) oriented processes. In this paper some modeling applications within European shipbuilding research and development projects will be highlighted from the viewpoint of an integrated product and process modeling approach. The following projects referenced: NEUTRABAS (Neutral Database for Complex Multifunctional Systems) explores a broad application field of product information for ship steel structure and outfitting systems; ROCOCO (Real Time Monitoring and Control of Construction Site Manufacturing) develops a CIM application and demonstrates this application within the pipe outfitting environment of a ship berth construction site; and MARIN-ABC (Marine Industry Applications of Broadband Communication) demonstrates new applications and services in the maritime transportation business based on future mobile satellite networks.
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46

Freitag, Bettina, Lukas Häfner, Verena Pfeuffer, and Jochen Übelhör. "Evaluating investments in flexible on-demand production capacity: a real options approach." Business Research 13, no. 1 (2019): 133–61. http://dx.doi.org/10.1007/s40685-019-00105-w.

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AbstractOngoing digitalization of production accelerates trends like mass customization, ever shorter lead times, and shrinking product life cycles. Thereby, industrial companies face increasingly volatile demand that complicates an appropriate production capacity planning. On the other hand, the comprehensive digitalization of production environments favors, amongst others, the dynamic integration of flexible external on-demand production capacity provided by specialized external capacity providers (ECPs). To enable the usage of on-demand production capacity, industrial companies may require significant upfront investments (e.g., for inter-organizational information systems, planning and organizational processes, employee training). The objective of this paper is to develop a model that evaluates such enabling upfront investments from the perspective of a manufacturing company. To consider flexibility of action, we apply real options analysis in a discrete-time binomial tree model and weigh these so-called expansion options to related cash outflows. In addition, we evaluate our model by means of a simulation and sensitivity analyses and derive insights for both researchers and practitioners. The insights gained by our model present a profound economic basis for investment decisions on upfront investments in flexible on-demand production capacity.
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47

Huang, Rong-Hwa, Shao-Jung Chang, and Shun-Chi Yu. "A Study of Flexible Flow Shop Scheduling Problem with Various Heterogeneous Labors." Mathematical Problems in Engineering 2021 (July 10, 2021): 1–13. http://dx.doi.org/10.1155/2021/5529612.

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This study considers the necessity of hiring heterogeneous labors. So far, many studies focus more on manufacturing of equipment and control systems in the intelligent production planning. In fact, the regular labors’ processing time may be affected by the external factors and the disabled labors by the mentally handicapped. Therefore, this study sets the processing time of the two types of labors as fuzzy sets. The extra processing time from overtime generated by physical deterioration of old-aged labors is equal to the processing time of regular labors multiplied by the physical deterioration rate of old-aged labors on machine. The coefficient of the cost function is the stepwise function of cost structure. Besides, the dispatching rule based on floating time utilizes ant colony optimization to minimize the makespan. The data test results indicate that the proposed algorithm can efficiently dispatch and schedule the operations, with the average improvement ratio about 11.76%, and demonstrates high capability for the intelligent production planning
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48

Dziurzanski, Piotr, Shuai Zhao, Sebastian Scholze, Albert Zilverberg, Karl Krone, and Leandro Soares Indrusiak. "Process planning and scheduling optimisation with alternative recipes." at - Automatisierungstechnik 68, no. 2 (2020): 140–47. http://dx.doi.org/10.1515/auto-2019-0104.

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AbstractThis paper considers an application of a new variant of a multi-objective flexible job-shop scheduling problem, featuring multisubset selection of manufactured recipes, to a real-world chemical plant. The problem is optimised using a multi-objective genetic algorithm with customised mutation and elitism operators that minimises both the total production time and the produced commodity surplus. The algorithm evaluation is performed with both random and historic manufacturing orders. The latter demonstrated that the proposed system can lead to more than 10 % makespan improvements in comparison with human operators.
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49

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 (1995): 267–76. http://dx.doi.org/10.1243/pime_proc_1995_209_083_02.

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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.
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50

Foit, Krzysztof, Grzegorz Gołda, and Adrian Kampa. "Integration and Evaluation of Intra-Logistics Processes in Flexible Production Systems Based on OEE Metrics, with the Use of Computer Modelling and Simulation of AGVs." Processes 8, no. 12 (2020): 1648. http://dx.doi.org/10.3390/pr8121648.

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The article presents the problems connected with the performance evaluation of a flexible production system in the context of designing and integrating production and logistics subsystems. The goal of the performed analysis was to determine the parameters that have the most significant influence on the productivity of the whole system. The possibilities of using automated machine tools, automatic transport vehicles, as well as automated storage systems were pointed out. Moreover, the exemplary models are described, and the framework of simulation research related to the conceptual design of new production systems are indicated. In order to evaluate the system’s productivity, the use of Overall Equipment Efficiency (OEE) metrics was proposed, which is typically used for stationary resources such as machines. This paper aims to prove the hypothesis that the OEE metric can also be used for transport facilities such as Automated Guided Vehicles (AGVs). The developed models include the parameters regarding availability and failure of AGVs as well as production efficiency and quality, which allows the more accurate mapping of manufacturing processes. As the result, the Overall Factory Efficiency (OFE) and Overall Transport Efficiency (OTE) metrics were obtained. The obtained outcomes can be directly related to similar production systems that belong to World Class Manufacturing (WCM) or World Class Logistics (WCL), leading to the in-depth planning of such systems and their further improvement in the context of the Industry 4.0.
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