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

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

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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Cai, Xiu Nv, and Ying Jie Zhang. "A New Method for Optimal Configuration of FMS Based on Machining Features." Advanced Materials Research 503-504 (April 2012): 48–51. http://dx.doi.org/10.4028/www.scientific.net/amr.503-504.48.

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This paper investigates the reconfiguration of manufacturing systems like flexible manufacturing systems (FMS) based on machining features. The focus of the research is to find out the optimal configuration of flexible manufacturing systems by machining features in terms of the manufacturing requirement of parts, to reduce the total construction cost or the whole machining time. The objective is to get the optimal configuration of FMS for a specific part family from the available machines of a manufacturing cooperation, in this paper, a new method for the configuration of FMS based on machinin

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Weston, R. H., C. M. Sumpter, and J. D. Gascoigne. "Distributed manufacturing systems." Robotica 4, no. 1 (1986): 15–26. http://dx.doi.org/10.1017/s0263574700002435.

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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 acce

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Siddiquie, Reshma Yasmin, Zahid A. Khan, and Arshad Noor Siddiquee. "Prioritizing decision criteria of flexible manufacturing systems using fuzzy TOPSIS." Journal of Manufacturing Technology Management 28, no. 7 (2017): 913–27. http://dx.doi.org/10.1108/jmtm-04-2017-0069.

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Purpose The purpose of this paper is to systematically demonstrate the use of an effective multiple criteria decision-making technique, i.e. fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) in ranking the decision criteria of flexible manufacturing systems (FMS). Design/methodology/approach A questionnaire is specially designed and served to the industry experts to collect their opinion on several FMS decision criteria. Subsequently, fuzzy TOPSIS is used to prioritize the decision criteria. Findings Fuzzy TOPSIS multiple criteria decision-making technique is exp

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Huseynov, Agil Hamid, and Mehriban Rashid Salimova. "Agent-based approach to designing flexible manufacturing systems." Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics 2022, no. 4 (2022): 35–41. http://dx.doi.org/10.24143/2073-5529-2022-4-35-41.

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The article considers the process of designing modules of a flexible production site using multi-agent technology. For a comprehensive organization of the design, there has been proposed an algorithm of intelligent automated design of the complex technical systems, flexible manufacture systems (FMS) being used as an example. It has been stated that the research at the stages of the conceptual design of the FMS is carried out by collecting prototype variants with using expert knowledge and interaction of agents-designers according to the method of self-realizing computer aided design. Building

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Frank, M. "Modelling and simulation of flexible manufacturing systems (FMS)." Annual Review in Automatic Programming 12 (January 1985): 282–85. http://dx.doi.org/10.1016/0066-4138(85)90382-9.

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16

Tawegoum, R., E. Castelain, and J. C. Gentina. "Dynamic Operations Control in Flexible Manufacturing Systems (FMS)." IFAC Proceedings Volumes 27, no. 4 (1994): 261–66. http://dx.doi.org/10.1016/s1474-6670(17)46034-4.

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Yamazaki, Yasuhiko, Katsuhiko Sugito, and Sojiro Tsuc. "Development of Flexible Manufacturing System." Journal of Robotics and Mechatronics 26, no. 4 (2014): 426–33. http://dx.doi.org/10.20965/jrm.2014.p0426.

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<div class=""abs_img""><img src=""[disp_template_path]/JRM/abst-image/00260004/03.jpg"" width=""200"" /> HVAC assembly line</span></div> Since Denso started its Flexible Manufacturing System (FMS) in the mid-1970s, we have continued to develop it in order to stay competitive in the face of market fluctuations. In this paper, we present a typical new production system that was developed at the end of the 20th century. One characteristic of this system is that it has a longer life and lower facility life cycle cost than do other production systems in existence. We think t

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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

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Chugh, Mayank, Jitesh Jassi, Mohd Zaid, and Dr A. K. Madan. "Applications of Flexible Manufacturing Systems in Industry: A Review." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 2890–96. http://dx.doi.org/10.22214/ijraset.2022.41925.

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Abstract: FMS and its adoption is a nuanced cradle technology in India and sees a limited implementation of its innovative technology and concepts. Our world today is a technologically sophisticated world, only characterized as fictional a few years ago. A lot today has transformed smart and technologists are striving to bring home new and innovative devices, homes, factories, and even cities. Scientifically proven is that these advanced technologies and concepts can boost an organization’s overall performance. Many corporations, researchers, and institutions agree that automation and robotic

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Potgieter, Johan, Olaf Diegel, Frazer Noble, and Martin Pike. "Additive Manufacturing in the Context of Hybrid Flexible Manufacturing Systems." International Journal of Automation Technology 6, no. 5 (2012): 627–32. http://dx.doi.org/10.20965/ijat.2012.p0627.

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This paper examines additive manufacturing technologies in the context of their potential use in flexible manufacturing systems. It reviews which current technologies are capable of producing full-strength production parts. It also examines which technologies might be applicable to FMS and how they might be implemented as part of a hybrid manufacturing cell.

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Ullah, Asif, and Muhammad Younas. "Development and Application of Digital Twin Control in Flexible Manufacturing Systems." Journal of Manufacturing and Materials Processing 8, no. 5 (2024): 214. http://dx.doi.org/10.3390/jmmp8050214.

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Flexible manufacturing systems (FMS) are highly adaptable production systems capable of producing a wide range of products in varying quantities. While this flexibility caters to evolving market demands, it also introduces complex scheduling and control challenges, making it difficult to optimize productivity, quality, and energy efficiency. This paper explores the application of digital twin technology to tackle these challenges and enhance FMS optimization and control. A digital twin, constructed by integrating simulation models, data acquisition, and machine learning algorithms, was employe

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Ervural, Beyzanur Cayir, Bilal Ervural, and Özgür Kabak. "Evaluation of Flexible Manufacturing Systems Using a Hesitant Group Decision Making Approach." Journal of Intelligent Systems 28, no. 2 (2019): 245–58. http://dx.doi.org/10.1515/jisys-2017-0065.

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Abstract Flexible manufacturing systems (FMS) are capable of processing various parts, styles, and quantities of production in manufacturing systems. It is a quite complex process for companies to decide the appropriate FMS design as it involves multiple and conflicting criteria and multiple decision makers under various uncertainties. The fuzzy set theory offers an efficient tool to cope with vagueness and to define performance measurement of FMS in a multi-attribute group decision making (MAGDM) framework. In this study, we present a MAGDM approach based on hesitant fuzzy sets to evaluate FM

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Oden, Howard W. "Integrating manufacturing resources planning (MRP II) with flexible manufacturing systems (FMS)." Computers & Industrial Engineering 13, no. 1-4 (1987): 107–11. http://dx.doi.org/10.1016/0360-8352(87)90061-1.

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Ghosh, S. K. "The design and operation of FMS (Flexible Manufacturing Systems)." Journal of Mechanical Working Technology 11, no. 2 (1985): 249–51. http://dx.doi.org/10.1016/0378-3804(85)90035-x.

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Swan, R. A. "The design and operation of flexible manufacturing systems (FMS)." Automatica 21, no. 6 (1985): 749–50. http://dx.doi.org/10.1016/0005-1098(85)90052-4.

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Dimitrov, Pavel. "The impact of flexible manufacturing systems (FMS) on inventories." Engineering Costs and Production Economics 19, no. 1-3 (1990): 165–74. http://dx.doi.org/10.1016/0167-188x(90)90039-k.

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Tchijov, Iouri, and Roman Sheinin. "Flexible manufacturing systems (FMS): Current diffusion and main advantages." Technological Forecasting and Social Change 35, no. 2-3 (1989): 277–93. http://dx.doi.org/10.1016/0040-1625(89)90059-0.

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Khan, Abdul Salam, Khawer Naeem, and Raza Ullah Khan. "A Comparison between Dedicated and Flexible Manufacturing Systems: Optimization and Sensitivity Analysis." January 2021 40, no. 1 (2021): 130–39. http://dx.doi.org/10.22581/muet1982.2101.12.

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An abrupt change requires a robust and flexible response from a manufacturing system. Dedicated Manufacturing System (DMS) has been a long practiced taxonomy for mass production and minimum varieties. In contrast, Flexible Manufacturing System (FMS) has been introduced for responding to quantity as well as variety issues. This study considers both production taxonomics by using a multi objective model of cost and time. An Integer Linear Programming (ILP) formulation is presented and subsequently validated. The analysis procedure is administered in two phases. In the first phase, comparison of

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Lin, Chun Wei, Yuh Jiuan Parng, and Jung Jye Jiang. "A Dynamic Simulation Approach for Flexible Manufacturing System Design." Applied Mechanics and Materials 635-637 (September 2014): 1813–16. http://dx.doi.org/10.4028/www.scientific.net/amm.635-637.1813.

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Achieving the greatest flexibility is the key objective for a manufacturing enterprise to design and install a Flexible Manufacturing System (FMS). Unfortunately, before the contents of “flexibility” is explicitly defined and commonly accepted within the company, the design effectiveness of an FMS will never be formally justified; not to mention evaluating its production performance once the FMS is implemented. The objective of this paper is twofold: first it presents a practical and quantitative measure of performance for an FMS by introducing the Machine Flexibility (MF) and the subsequent S

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Chen, Yun-Wen, Wei-Hao Su, and Kai-Ying Chen. "The Academic Development Trajectories and Applications of Flexible Manufacturing Systems Based on Main Path Analysis Method." Processes 11, no. 4 (2023): 1297. http://dx.doi.org/10.3390/pr11041297.

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Rapid shifts in consumer preferences have prompted enterprises to offer products in small quantities and various options. To meet market demands, enterprises must be able to research the development of modern conceptions of manufacturing systems which has revolved around new practical and scientific results that are able to meet the assumptions of focused flexible manufacturing systems (FMSs) and the challenges of the Industry 4.0 philosophy. These FMSs, which incorporate automated facilities and computer control systems, play a crucial role in boosting the productivity of enterprises. In this

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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 (2019): 469–85. http://dx.doi.org/10.1142/s0219686719500252.

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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 flexib

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Gu, Shen Shen. "Scheduling Flexible Manufacturing Systems with Petri Nets Based on the Cell Enumeration Method." Advanced Materials Research 346 (September 2011): 412–18. http://dx.doi.org/10.4028/www.scientific.net/amr.346.412.

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In the field of modern manufacturing, flexible manufacturing systems (FMS) is very important because it can scheduleand optimize multipurpose machines to produce multiple types of products. When applying the FMS technology, Petri Net is used to model the machines, parts and the whole manufacturing progress. The core concern of FMS is to make sure that the manufacturing system can transfer from the original state to the final state, which is called reachabilty. Therefore, reachability analysis is one of the most important problems of FMS. When Petri Net is acyclic, the reachability analysis can

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Ram, Mangey, and Nupur Goyal. "Stochastic Design Exploration with Rework of Flexible Manufacturing System Under Copula-Coverage Approach." International Journal of Reliability, Quality and Safety Engineering 25, no. 02 (2018): 1850007. http://dx.doi.org/10.1142/s0218539318500079.

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Manufacturing systems are increasingly becoming automated and complex in nature. Highly reliable and flexible manufacturing systems (FMSs) are the necessity of manufacturing industries to fulfill the increasing customized demands. Worldwide, FMSs are used in industries to attain high productivity in production environments with rapidly and continuously changing manufactured goods structures and demands. Reliability prediction plays a very significant role in system design in the manufacturing industry, and two crucial issues in the prediction of system reliability are failures of equipment and

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Pukhovskiy, Evgen, Volodymyr Frolov, Serhii Sapon, and Iurii Betsko. "OPTIMIZATION OF CUTTING MODES ON MACHINES OF FLEXIBLE MANUFACTURING SYSTEMS." Technical Sciences and Technologies, no. 4(30) (2022): 14–23. http://dx.doi.org/10.25140/2411-5363-2022-4(30)-14-23.

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The main problem of manufacturing products in conditions of flexible automated production is the achievement of high quality indicators of parts, such as accuracy characteristics, surface roughness and surface layer condition. Obtaining of high quality parts in modern technological systems requires the study of specific features of flexible production. Frequent readjustment of equipment, replacement of tools, redistribution of characteristics of the elastic system of machine tools, the production of parts from materials of different workability determine the variablenature of the accuracy para

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O'Grady, P. J., and U. Menon. "A concise review of flexible manufacturing systems and FMS literature." Computers in Industry 7, no. 2 (1986): 155–67. http://dx.doi.org/10.1016/0166-3615(86)90037-0.

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Youssef, Mohamed A., and Bassam Al-Ahmady. "Quality management practices in a Flexible Manufacturing Systems (FMS) environment." Total Quality Management 13, no. 6 (2002): 877–90. http://dx.doi.org/10.1080/0954412022000010217.

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Cordero, Rene. "Changing human resources to make flexible manufacturing systems (FMS) successful." Journal of High Technology Management Research 8, no. 2 (1997): 263–75. http://dx.doi.org/10.1016/s1047-8310(97)90006-7.

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Wilson, J. M. "Formulation and Solution of a Set of Sequencing Problems for Flexible Manufacturing Systems." Proceedings of the Institution of Mechanical Engineers, Part B: Management and engineering manufacture 201, no. 4 (1987): 247–49. http://dx.doi.org/10.1243/pime_proc_1987_201_076_02.

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This paper describes the philosophy behind the construction of a computer technique which has been used to formulate and solve a set of sequencing problems for efficient use of a flexible manufacturing system (FMS). These problems are formulated as integer programming problems and are solved using commercially available software. Problems can be solved in reasonable computational time and the solutions can then be used to set up operating conditions for an FMS.

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Csokmai, Lehel, Ovidiu Moldovan, Ioan Constantin Tarca, and Radu Tarca. "A Comprehensive Approach of Advanced Error Troubleshooting in Intelligent Manufacturing Systems." Applied Mechanics and Materials 404 (September 2013): 631–34. http://dx.doi.org/10.4028/www.scientific.net/amm.404.631.

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Production systems must be flexible and endowed with techniques and tools allowing an automatic recovery of errors. And so, the subject of error recovery in flexible manufacturing system is always an open issue. The objective of this work consists in proposing a new type of software framework for error troubleshooting in a flexible manufacturing system that is perceived as an Intelligent Space (iSpace). Our framework system is designed to solve the failures in the functioning of the FMS and to generate self-training from previous experience.

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Chang, Guanghsu A., and William R. Peterson. "Using Taguchi Method to Optimize the Performance of Flexible Manufacturing Systems: An Empirical Model." Applied Mechanics and Materials 799-800 (October 2015): 1410–16. http://dx.doi.org/10.4028/www.scientific.net/amm.799-800.1410.

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Increasing global competition, shrinking product life cycles, and increasing product mix are defining a new manufacturing environment in world markets. This paper presents a case problem using Taguchi Method to find optimum design parameters for a Flexible Manufacturing System (FMS). A L8 array, signal-to-noise (S/N) ratio and analysis of variance (ANOVA) are employed to study performance characteristics of selected manufacturing system design parameters (e.g. layout, AGVs, buffers, and routings) with consideration of product mix demand. Various design and performance parameters are evaluated

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Chinnusamy, T. R., T. Karthikeyan, M. Krishnan, and A. Murugesan. "A Comprehensive Survey of Flexible Manufacturing System Scheduling Using Petri Nets." Advanced Materials Research 984-985 (July 2014): 111–17. http://dx.doi.org/10.4028/www.scientific.net/amr.984-985.111.

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A Flexible Manufacturing System (FMS) is an integrated, computer-controlled system of machines, automated handling systems, and storage systems that can be used to simultaneously manufacture a variety of jobs. FMSs can be characterized as asynchronous, concurrent, distributed and parallel systems in which multiple operations share multiple resources so that the performance criteria are optimized. Petri nets (PNs) have recently become a promising approach for modeling FMSs. PNs are formal graphical modeling tool that can be efficiently utilized as a process analysis and modeling tool, because i

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Sumit, Kumar, Singh Netrapal, Aziz Abdul, and Anil Aggarwal Dr. "ANALYSIS AND MODELING OF FLEXIBLE MANUFACTURING SYSTEM." International Journal of Advances in Engineering & Scientific Research 1, no. 2 (2014): 37–49. https://doi.org/10.5281/zenodo.10720140.

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<strong>ABSTRACT</strong> <strong>                 </strong><strong> </strong> <em>Analysis and modeling of flexible manufacturing system (FMS) consists of scheduling of the system and optimization of FMS objectives. Flexible manufacturing system (FMS) scheduling problems become extremely complex when it comes to accommodate frequent variations in the part designs of incoming jobs. This research focuses on scheduling of variety of incoming jobs into the system efficiently and maximizing system utilization and

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Sanz, Alfredo, E. M. Rubio Alvir, Carmen Martínez Murillo, and M. A. Sebastián. "Manufacturing Processes Analysis by Virtual Reality." Materials Science Forum 526 (October 2006): 139–44. http://dx.doi.org/10.4028/www.scientific.net/msf.526.139.

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Present work shows many of Virtual Reality (RV) developments carried out in manufacturing processes field by the collaboration between Aerospace Materials and Production Department at the UPM University and Manufacturing and Construction Engineering at the UNED university. Most of them have been directed towards Numerical Control Machine Tools field and towards equipment that configure automated manufacturing systems like Flexible Manufacturing Systems (FMS).

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Kathawala, Yunus. "Expert Systems: Implications for Operations Management." Industrial Management & Data Systems 90, no. 6 (1990): 12–16. http://dx.doi.org/10.1108/02635579010004161.

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Several examples of successful expert systems applications are presented. Examples of expert systems as applied in process planning, operations planning, inventory control, process design, quality control and scheduling are covered, and the performance of these expert systems is described. Expert systems will become an essential part of computer‐integrated manufacturing (CIM) and flexible manufacturing systems (FMS) because they can perform several of the tasks mentioned above.

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Florescu, Adriana, and Sorin Adrian Barabas. "Modeling and Simulation of a Flexible Manufacturing System—A Basic Component of Industry 4.0." Applied Sciences 10, no. 22 (2020): 8300. http://dx.doi.org/10.3390/app10228300.

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The field of Flexible Manufacturing Systems (FMS) has seen in recent years a dynamic development trend and can now be considered an integral part of intelligent manufacturing systems and a basis for digital manufacturing. Developing the factory of the future in an increasingly competitive industrial environment involves the study and analysis of some FMS key elements and managerial, technical, and innovative efforts. Using a new approach, thus paper presents a material flow design methodology for flexible manufacturing systems in order to establish the optimal architecture of the analyzed syst

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Mildawati, Titik. "DAMPAK FLEKSIBILITAS MANUFAKTUR TERHADAP PENGGUNAAN INFORMASI NON AKUNTANSI UNTUK MENGUKUR KINERJA." EKUITAS (Jurnal Ekonomi dan Keuangan) 6, no. 3 (2016): 233. http://dx.doi.org/10.24034/j25485024.y2002.v6.i3.1957.

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This study examines the impact of manufacturing flexibility on the use of non accounting information measurement systems and the impact of flexibility manufacturing Systems/ FMS on relations the use of non accounting information measurement systems and a commitment to manufacturing flexibility.Data is selected using purposive sampling. We collected data through mail survey from 479 functional managers on 306 manufacturing firm in Indonesian Manufacturer Industries Directory 2000. The analysis units for responses of 48 managers-production, accounting and division. The statistic method used to t

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Yang, Yang, Junjun Yang, Na Liang, and Chunfu Zhong. "Control Law for Two-Process Flexible Manufacturing Systems Modeled Using Petri Nets." Mathematics 13, no. 4 (2025): 611. https://doi.org/10.3390/math13040611.

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The deadlock control problem in flexible manufacturing systems (FMSs) has received much attention in recent years. The formalism of the Petri net is employed to effectively model, analyze, and control deadlocks in an FMS case study. There are many kinds of deadlock prevention strategies based on the Petri net approach, where computational complexity is a major problem that needs to be considered. Based on the Petri net theory, this paper focuses on the two special subclasses in the S3PR net, namely the dual-process S3PR and the dual-process US3PR, in a bid to prevent deadlocks in an FMS. The r

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Khan, Furquan, and Amit Sahay. "A Simulation modelling of scheduling of automated guided vehicle in flexible manufacturing system environment." International Journal of Current Engineering and Technology 11, no. 01 (2021): 61–65. http://dx.doi.org/10.14741/ijcet/v.11.1.9.

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Automated Guided Vehicles (AGVs) are among the fastest and advanced material handling technology that are utilized in various industrial applications today. They can be overlapped to various other manufacturing and storage system and controlled through an advanced computer control system. Flexible Manufacturing systems (FMS) are compatible for concurrent manufacturing of a good sort of parts in low quantity. The Flexible Manufacturing systems elements can operate in a non parallel manner and the scheduling problems are harder. The use of AGVs is increasing day by day for the fabric movement in

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Bagherian, Anthony, Gulshan Chauhan, Arun Lal Srivastav, and Rajiv Kumar Sharma. "Evaluating the Ranking of Performance Variables in Flexible Manufacturing System through the Best-Worst Method." Designs 8, no. 1 (2024): 12. http://dx.doi.org/10.3390/designs8010012.

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Flexible Manufacturing Systems (FMSs) provide a competitive edge in the ever-evolving manufacturing landscape, offering the agility to swiftly adapt to changing customer demands and product lifecycles. Nevertheless, the complex and interconnected nature of FMSs presents a distinct challenge: the evaluation and prioritization of performance variables. This study clarifies a conspicuous research gap by introducing a pioneering approach to evaluating and ranking FMS performance variables. The Best-Worst Method (BWM), a multicriteria decision-making (MCDM) approach, is employed to tackle this chal

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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.

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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 pr

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