Relevant bibliographies by topics / Flexible manufacturing systems(FMS)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Flexible manufacturing systems(FMS)'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Flexible manufacturing systems(FMS)"

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Kandavel, V., V. Preethi, and Johnpeter Soosairaj. "Optimization of Flexible Manufacturing Systems Using IoT." BOHR International Journal of Engineering 1, no. 1 (2022): 39–43. http://dx.doi.org/10.54646/bije.008.

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A flexible manufacturing system (FMS) is an automated material handling and integrated workstation that is computer-controlled and used for the automatic random processing of palletized parts. To assess the effectiveness of the FMS design before deployments, computer simulation is a cost-effective method. It is crucial to test this simulation software before usage since they have such a clear influence on the FMS decision-making process. A FMS is a complicated, integrated system that includes a central computer numerical control machining center and an automated material management system. The
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Kandavel, V., V. Preethi, and Johnpeter Soosairaj. "Optimization of flexible manufacturing systems using IoT." BOHR International Journal of Engineering 1, no. 1 (2022): 37–41. http://dx.doi.org/10.54646/bije.2022.08.

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A flexible manufacturing system (FMS) is an automated material handling and integrated workstation that is computer-controlled and used for the automatic random processing of palletized parts. To assess the effectiveness of the FMS design before deployments, computer simulation is a cost-effective method. It is crucial to test this simulation software before usage since they have such a clear influence on the FMS decision-making process. A FMS is a complicated, integrated system that includes a central computer numerical control machining center and an automated material management system. The
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Ranky, Paul G. "Dynamic Simulation of Flexible Manufacturing Systems (FMS)." Applied Mechanics Reviews 39, no. 9 (1986): 1339–44. http://dx.doi.org/10.1115/1.3149523.

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The simulation method to be used in FMS should be multilevel and dynamic and should incorporate solid modeling techniques. This means that operation control simulation in FMS should rely on information sources provided from different levels of the organization; thus there should be an overall planning level and a dynamic, or real-time, level. One should also conclude from this article that, without understanding the design principles and operating rules of FMS, the simulation model created will be inadequate and in most cases misleading. Because of this, FMS simulation should be performed by a
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Manu. G et al.,, Manu G. et al ,. "Flexible Manufacturing Systems (FMS), A Review." International Journal of Mechanical and Production Engineering Research and Development 8, no. 2 (2018): 323–36. http://dx.doi.org/10.24247/ijmperdapr201836.

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De, Ananya, Ashi Gupta, and Dr A. K. Madan. "Need and Scope of Flexible Manufacturing Systems." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 496–97. http://dx.doi.org/10.22214/ijraset.2022.42121.

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Abstract: The flexible manufacturing system (FMS) is a type of system which consists of several integrated parts, a computer control system and an automated numerical control system to increase the flexibility of industrial processes. Automation and Industry 4.0 are key parameters for the future and FMS is a step in the right direction to achieve due to its capabilities, capacity and advantages. To stay competitive, there is a constant demand for greater output and manufacturing quality, as well as an urgent need to improve overall manufacturing system efficiency. This research shows the need
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Windmann, Stefan, Kaja Balzereit, and Oliver Niggemann. "Model-based routing in flexible manufacturing systems." at - Automatisierungstechnik 67, no. 2 (2019): 95–112. http://dx.doi.org/10.1515/auto-2018-0108.

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Abstract In this paper, a model-based routing approach for flexible manufacturing systems (FMS) with alternative routes for the work pieces is proposed. For each work piece, an individual task has to be accomplished, which consists of several processing steps. Each processing step can be executed on alternative working stations of the FMS. The proposed routing method employs a model of the conveying system to find energy efficient and fast routes for the respective work pieces. The conveying system model is based on a directed graph, where the individual conveyors are modeled as weighted edges
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Kusiak, Andrew. "Planning of flexible manufacturing systems." Robotica 3, no. 4 (1985): 229–32. http://dx.doi.org/10.1017/s0263574700002320.

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SUMMARYIn this paper a new approach to planning of Flexible Manufacturing Systems (FMSs) is discussed. This approach takes advantage of FMS features and is based on linking of machining and assembling operations. There are two problems embedded in the presented approach: station loading and operation scheduling. A formulation of a station loading problem for a single machining period is presented. Some of the computational results are also discussed.
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Ranky, Paul G. "FMS in CIM (Flexible Manufacturing Systems in Computer Integrated Manufacturing)." Robotica 3, no. 4 (1985): 205–14. http://dx.doi.org/10.1017/s0263574700002290.

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Computer Integrated Manufacture (CIM) is concerned with providing computer assistance, control and high level integrated automation at all levels of the manufacturing industries, including the business data processing system, CAD, CAM and FMS, by linking islands of automation into a distributed processing system. The technology applied in CIM makes intensive use of distributed computer networks and data processing techniques, Artificial Intelligence and Database Management Systems. FMS in this aspect plays the role of a highly efficient and “ready to react to random requests” manufacturing fac
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Malik, Dilshad, Sanjeev Kumar Saraswat, and Parvez Alam. "Challenges and Opportunities in the Adoption of Flexible Manufacturing Systems in Indian Manufacturing Industries." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 10 (2024): 1–7. http://dx.doi.org/10.55041/ijsrem38307.

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The manufacturing sector is increasingly adopting automation technologies to enhance productivity and flexibility. Among these technologies, Flexible Manufacturing Systems (FMS) offer substantial benefits, such as reduced lead times, improved production flexibility, and lowered operational costs. Despite its advantages, FMS adoption in Indian manufacturing industries has been slow due to several barriers, including high capital costs, technological complexity, and inadequate government support. This study investigates the current status of FMS adoption in India, identifies the key barriers hin
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Amer, Adell S., Mahmud M. Abushaala, Saleh M. Amaitik, Nasseradeen Ashwear, Salem A. Elteriki, and Osama Ali Badi. "Analyzing and Improving the Performance of Flexible Manufacturing Systems." International Journal of Engineering & Information Technology (IJEIT) 13, no. 2 (2025): 26–33. https://doi.org/10.36602/ijeit.v13i2.533.

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With the intense competition in the market, manufacturing managers are trying to optimize production times, improve product quality, increase product variety, and reduce production costs. Therefore, in the current market environment, these manufacturing environments must be designed, analyzed, and improved based on market challenges in order to survive and thrive in the industry. This paper presents a case study of a linear pallet system for moving parts on pallets in a flexible manufacturing system (FMS) shop. The objective of this study is to analyze the performance of the FMS and propose wa
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Dissertations / Theses on the topic "Flexible manufacturing systems(FMS)"

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Scott, Wesley Dane. "A flexible control system for flexible manufacturing systems." Diss., Texas A&M University, 2003. http://hdl.handle.net/1969.1/158.

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A flexible workcell controller has been developed using a three level control hierarchy (workcell, workstation, equipment). The cell controller is automatically generated from a model input by the user. The model consists of three sets of graphs. One set of graphs describes the process plans of the parts produced by the manufacturing system, one set describes movements into, out of and within workstations, and the third set describes movements of parts/transporters between workstations. The controller uses an event driven Petri net to maintain state information and to communicate with lower
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Scott, Peter. "Craft skills in flexible manufacturing systems." Thesis, University of Bath, 1987. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.377776.

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Panek, Diana Lynn 1952. "A STUDY ON COMPONENT CONFIGURATION IN FMS (FLEXIBLE MANUFACTURING)." Thesis, The University of Arizona, 1986. http://hdl.handle.net/10150/291236.

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Dhooky, Aruna N. D. "Development of a flexible manufacturing system (FMS)." Master's thesis, University of Cape Town, 2004. http://hdl.handle.net/11427/5572.

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Includes bibliographical references.<br>This report describes how the latest technology in computing and interfacing has been used in a traditional manufacturing environment to integrate old stand-alone CNC machines, a FANUC robot, a conveyor and a Robot Positioning Device (RPD) into a Flexible Manufacturing System (FMS). Also described are the benefits that South African manufacturers still using old CNC machines could achieve if they implemented a similar process in their organisation.
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Balogun, Oluwatuminu Omoniya. "The investigation of the effect of scheduling rules on FMS performance." Thesis, Loughborough University, 2000. https://dspace.lboro.ac.uk/2134/36015.

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The application of Flexible Manufacturing Systems (FMSs) has an effect in competitiveness, not only of individual companies but of those countries whose manufactured exports play a significant part in their economy (Hartley, 1984). However, the increasing use of FM Ss to effectively provide customers with diversified products has created a significant set of operational challenges for managers (Mahmoodi et al., 1999). In more recent years therefore, there has been a concentration of effort on FMS scheduling without which the benefits of an FMS cannot be realized. The objective of the reported
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Hassanzadeh, Mostafai Pejman. "Rescheduling point determination in dynamic FMS using a flexibility metric methodology /." View online ; access limited to URI, 2007. http://0-digitalcommons.uri.edu.helin.uri.edu/dissertations/AAI3298369.

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Tang, Wei. "Reconfigurable Hardware-Based Simulation Modeling of Flexible Manufacturing Systems." Diss., Virginia Tech, 2005. http://hdl.handle.net/10919/29925.

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This dissertation research explores a reconfigurable hardware-based parallel simulation mechanism that can dramatically improve the speed of simulating the operations of flexible manufacturing systems (FMS). Here reconfigurable hardware-based simulation refers to running simulation on a reconfigurable hardware platform, realized by Field Programmable Gate Array (FPGA). The hardware model, also called simulator, is specifically designed for mimicking a small desktop FMS. It is composed of several micro-emulators, which are capable of mimicking operations of equipment in FMS, such as machine cen
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O'Kane, James Francis. "The use of a dynamic database within a knowledge-based system for analysing reactive scheduling issues in a FMS." Thesis, Staffordshire University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318342.

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Hamilton, Wade W. "A methodology that integrates the scheduling of job sequencing and AGV dispatching in a FMS." Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-09042008-063108/.

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Young-On, Harold. "FMS performance versus WIP under different scheduling rules." Master's thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-12162009-020059/.

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Books on the topic "Flexible manufacturing systems(FMS)"

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Lee, Anita. Knowledge-based flexible manufacturing systems (FMS) scheduling. Garland, 1994.

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Chaturvedi, Alok R. FMS scheduling using goal directed-conceptual aggregation. Institute for Research in the Behavioral, Economic, and Management Sciences, Krannert Graduate School of Management, Purdue University, 1990.

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Ratmirov, V. A. FMS and control of machine tools. Mir Publishers, 1990.

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Turin), International Conference on Flexible Manufacturing Systems (6th 1987. Proceedings of the 6th International Conference Flexible Manufacturing Systems, 4-6 November 1987, Turin, Italy: FMS-6. IFS (Publications), 1987.

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Chaturvedi, Alok R. FMS scheduling: A synergistic approach using conceptual aggregation and simulation. Institute for Research in the Behavioral, Economic, and Management Sciences, Krannert Graduate School of Management, Purdue University, 1990.

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Engineers, Society of Manufacturing, ed. FMS '87, October 12-15, 1987, Long Beach, California: Creative manufacturing engineering program. Society of Manufacturing Engineers, 1987.

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Advanced Machining Technology for Cells and FMS Conference (1986 Cincinnati, Ohio). Advanced Machining Technology for Cells and FMS Conference: February 25-27, 1986, Cincinnati, Ohio. The Society, 1986.

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Nee, A. Y. C. Advanced fixture design for FMS. Springer-Verlag, 1995.

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Chaturvedi, Alok R. A model for simulating AGV congestion in an FMS. Institute for Research in the Behavioral, Economic, and Management Sciences, Krannert Graduate School of Management, Purdue University, 1990.

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Z, Banashak, ed. Modelling and control of FMS Petri net approach. Wrocław Technical University Press, 1991.

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Book chapters on the topic "Flexible manufacturing systems(FMS)"

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Nee, A. Y. C., K. Whybrew, and A. Senthil kumar. "Fixture and Flexible Manufacturing Systems." In Advanced Fixture Design for FMS. Springer London, 1995. http://dx.doi.org/10.1007/978-1-4471-2117-6_1.

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Greenwood, Nigel R. "Factors Likely to Influence the Development of FMS." In Implementing Flexible Manufacturing Systems. Macmillan Education UK, 1988. http://dx.doi.org/10.1007/978-1-349-07959-9_12.

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Welzel, Kira, Anna-Sophia Wilde, Yasin Bulut, Max Juraschek, and Christoph Herrmann. "Framework for Modeling and Evaluating Information Flows in Flexible Manufacturing Systems." In Zukunftstechnologien für den multifunktionalen Leichtbau. Springer Fachmedien Wiesbaden, 2024. https://doi.org/10.1007/978-3-658-45889-8_12.

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AbstractIn the manufacturing industry, flexible manufacturing systems (FMS) are gaining importance in meeting the demand for product customization while maintaining high manufacturing efficiency. The digitization of physical manufacturing additionally expands the relevance of industrial communication networks, resulting in complex interactions of material, energy and information flows that pose challenges for the manufacturing system design. Existing decision support frameworks for the design of FMS mainly incorporate the evaluation of the material flow. A holistic view of FMS requires the con
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Taylor, R. H. "Advanced Robotics in FMS." In Operations Research Models in Flexible Manufacturing Systems. Springer Vienna, 1989. http://dx.doi.org/10.1007/978-3-7091-2654-7_12.

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Dub, M. "FMS integration projects." In Proceedings of the 5th International Conference on Flexible Manufacturing Systems. Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-662-38009-3_46.

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Deserti, L., and L. Nedda Giraldo. "FMS a Classification of Recent Literature." In Operations Research Models in Flexible Manufacturing Systems. Springer Vienna, 1989. http://dx.doi.org/10.1007/978-3-7091-2654-7_14.

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Tomek, P. "Tooling concepts for FMS." In Proceedings of the 5th International Conference on Flexible Manufacturing Systems. Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-662-38009-3_30.

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Arnaud, O., and E. Bloche. "Evaluating FMS by simulation." In Proceedings of the 5th International Conference on Flexible Manufacturing Systems. Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-662-38009-3_48.

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Davey, S. G. "A flexible manufacturing system (FMS) for PCB production." In Proceedings of the 5th International Conference on Flexible Manufacturing Systems. Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-662-38009-3_4.

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Engell, Sebastian, Frank Herrmann, and Manfred Moser. "Priority rules and predictive control algorithms for on-line scheduling of FMS." In Computer control of flexible manufacturing systems. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1230-7_4.

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Conference papers on the topic "Flexible manufacturing systems(FMS)"

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Slomp, Jannes, Gerard J. C. Gaalman, and Jatinder N. D. Gupta. "DESIGNING A PRODUCTION CONTROL SYSTEM FOR FMS." In Flexible Automation and Integrated Manufacturing 1994. Begellhouse, 2023. http://dx.doi.org/10.1615/faim1994.860.

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Sauer, Wilfried, Gerald Weigert, and Peter Goerigk. "A LEARNABLE SIMULATION SYSTEM FOR SCHEDULING FMS." In Flexible Automation and Integrated Manufacturing 1996. Begellhouse, 2023. http://dx.doi.org/10.1615/faim1996.870.

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Weigert, Gerald, D. Hampel, and Wilfried Sauer. "Scheduling of FMS - Application of an Open Optimization System." In Flexible Automation and Integrated Manufacturing 1998. Begellhouse, 2023. http://dx.doi.org/10.1615/faim1998.690.

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Mohamed, Aezeden, Kialakun Galgal, and Umamaheswararao Mogili. "Programmable logic controllers in flexible manufacturing system (FMS)." In RECENT ADVANCES IN INDUSTRY 4.0 TECHNOLOGIES. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0175867.

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Padilha, André José de Queiroz, Gabriela Ventura Silva, Guilherme Canuto da Silva, and Paulo Carlos Kaminski. "PROPOSAL OF FAULT CHARACTERIZATION IN AUTOMOTIVE FLEXIBLE MANUFACTURING SYSTEMS (FMS)." In XXVI Simpósio Internacional de Engenharia Automotiva. Editora Blucher, 2018. http://dx.doi.org/10.5151/simea2018-pap44.

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Hou, Chienann, and Milton Bennett. "FORFMS: A FORTRAN Simulation and Analysis Model for Flexible Manufacturing Systems." In ASME 1993 International Computers in Engineering Conference and Exposition. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/cie1993-0048.

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Abstract The flexible manufacturing system (FMS) is designed to fill the gap between high-production transfer lines and low-production NC machines by optimized utilization of tools and machines. This paper describes a general purpose simulation and analysis model, FORFMS, for the study of flexible manufacturing system. The model is PC based and programmed in FORTRAN with fixed-increment time interval mechanism. A case study of a FMS with six workstations was conducted to evaluate the system performance and to examine control strategies.
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Hambaba, A. "Soft-object technology for flexible machining systems (FMS)." In Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials. IPMM'99 (Cat. No.99EX296). IEEE, 1999. http://dx.doi.org/10.1109/ipmm.1999.791529.

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Mahalingam, Vijay Kumar. "A Simulation Study of Flexible Manufacturing System Using Dynamic Scheduling Approach." In ASME 2014 12th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/esda2014-20484.

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This paper presents a simulation study aimed at evaluating the performances of a typical Flexible manufacturing system (FMS) problems in terms of make span, average flow time, average delay time at local buffers and average machine utilization, subject to different control strategies which include routing flexibilities and dispatching rules. The routing strategies under evaluation are ‘No Alternative Routings (NAR)’; ‘Alternative Routings Dynamic (ARD)’; and ‘Alternative Routings Planned (ARP)’. The ARP rule was introduced into the FMS and coded with C++ program. The above routing strategies a
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Ahmed, Ali Abuelkassem Ali, and Alexander Chee Hon Cheong. "Design and develop spiral conveyor for flexible manufacturing system (FMS)." In PROCEEDINGS OF THE TIM20-21 PHYSICS CONFERENCE. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0148567.

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Amar, S., E. Craye, and J. Gentina. "A Method Of Hierarchical Specification And Prototyping Of Flexible Manufacturing Systems (FMS)." In IEEE International Workshop on Emerging Technologies and Factory Automation,. IEEE, 1992. http://dx.doi.org/10.1109/etfa.1992.683225.

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Reports on the topic "Flexible manufacturing systems(FMS)"

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CHARLES STARK DRAPER LAB INC CAMBRIDGE MA. Flexible Manufacturing System Handbook. Volume 6. FMS (Flexible Machining Systems) Decision Support Software Case Studies. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada169881.

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Darrow, William P. A survey of flexible manufacturing systems implementations. National Bureau of Standards, 1986. http://dx.doi.org/10.6028/nbs.ir.86-3413.

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Ghosh, Mrinal K., Aristotle Arapostathis, and Steven I. Marcus. Optimal Control of Switching Diffusions With Application to Flexible Manufacturing Systems. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada454850.

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Fine, Charles H. Flexible Design and Manufacturing Systems for Automotive Components and Sheet Metal Parts. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada375391.

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(Archived), Irina Ward, and Farah Abu Saleh. PR-473-144506-R01 State of the Art Alternatives to Steel Pipelines. Pipeline Research Council International, Inc. (PRCI), 2017. http://dx.doi.org/10.55274/r0011459.

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This report is a literature review of several non-metallic material systems often used as alter-natives to steel pipelines. The pipeline systems reviewed are high density polyethylene (HDPE), fiberglass reinforced plastic (FRP), flexible composite and thermoplastic liners. This report is not intended to be a detailed guide or design manual on the use of the referenced materials for pipeline applications, rather an overall evaluation on the current state of these systems. Significant industry literature and documentation already exists on the design, manufacturing, installation, and operation o
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