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Performance Optimization of Flexible Manufacturing Systems Using Artificial Neural Networks
Published in Takushi Tanaka, Setsuo Ohsuga, Moonis Ali, Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 2022
A Flexible Manufacturing System (FMS) is an interconnected system of material processing stations capable of automatically processing a wide variety of part types simultaneously and under computer control [Pim90]. The system features flexibility in routing parts, part processing operations, coordination and control of part handling, and in using appropriate tooling. The required flexibility in virtually every aspect of the manufacturing process requires careful coordination of the different components of the manufacturing system. Furthermore, planning and controlling the movement of parts through the system can be a complex problem, above all when the main aim is that of maximizing the productivity of the manufacturing system. This can be achieved by scheduling resources (e.g.determining the sequence in which the machines operate) in such a way as to utilize them fully.
A Hybrid Neural and Symbolic Processing Approach to Flexible Manufacturing Systems Scheduling
Published in Abraham Kandel, Gideon Langholz, Lotfi A. Zadeh, Hybrid Architectures for Intelligent Systems, 2020
Luis Carlos Rabelo, Sema Alptekin
Flexible manufacturing systems (FMS’s) are automated systems which combine computer numerical control (CNC) machine tools, automated material handling and storage systems, and a computational scheme to provide an integrated production environment. On the other hand, scheduling may be defined as “the art of assigning resources to tasks in order to insure the termination of these tasks in a reasonable amount of time” [11]. According to French [16], the general problem is to find a sequence, in which the jobs pass between the machines, which is a feasible schedule, and optimal with respect to some performance criterion. FMS scheduling problems belong to the class called “NP-hard”. Several techniques such as mathematical programming and analytical models, dispatching rules and simulation, knowledge-based systems, and other unique approaches such as ANN’s have been applied to FMS scheduling problems.
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Published in Cornelius Leondes, The Design of Manufacturing Systems, 2019
A flexible manufacturing system (FMS) is composed of multiple subsystems such as machines, transport systems, and buffers, which must be controlled by a computer to achieve the production goals. Such a system can produce multiple types of products. Various types of products enter the system for processing at discrete points of time. Each type of product has its own prescribed sequence of operations that determines the order in which resources must be used. To effectively utilize the flexibility of an FMS and obtain greater productivity, the most important problem in the FMS is how to assign the resources to different processes. Products are processed concurrently in an FMS and they compete for a finite set of common resources. If the resource requirement is not restricted, these relations of competition can lead to a deadlock. In a deadlock situation, some products are in a circular wait relationship, waiting for resources from each other, and can never advance to completion, while some resources are occupied and can never be used again. Therefore, a deadlock situation is highly undesirable, [1, 8] and the live modeling of a system becomes very important.
Investigation of scheduling integration of flexible manufacturing systems for mass customisation
Published in International Journal of Production Research, 2023
Integrated decision-making is effective in many situations such as managing multiple and conflicting objectives and making coordination control. MC environments are changing and dynamic with continuous arrival of customer orders. Because of the complexity of flexible manufacturing systems, the FMS scheduling problems are usually NP hard. FMS scheduling integration for mass customisation is even more complicated. How can integrated decisions be made on FMS scheduling? How can quick responses be made in changing environments for FMS scheduling? These are the important issues for making effective decisions on FMS scheduling integration to increase MC capability. This paper investigates the problem of integrating FMS part input sequencing, robot scheduling, and machine scheduling for MC. A set-based dynamic algorithm is developed for the FMS scheduling integration problem. The proposed algorithm is based on the FMS scheduling integration framework developed by He and Smith (2021). The framework emphasises the importance of information technology for mass customisation (Steger-Jensen and Svensson 2004). The framework applies radio frequency identifier (RFID) technology that is significant advance in managing dynamic systems (Dolgui and Proth 2012). The framework suggested the development of the FMS scheduling integration algorithm by applying the algorithms in the literature such as the algorithm developed by He and Stecke (2022).
Modeling, analysis and optimization of carousel-based flexible manufacturing system
Published in Journal of Industrial and Production Engineering, 2022
Hafiz Zahid Nabi, Tauseef Aized, Fahid Riaz
The flexible manufacturing system (FMS) and automation are typical solutions for the industry 4.0 concept, which make a robust link between manufacturing and the internet [1]. Flexible manufacturing systems play a crucial role to enhance productivity, growth rate, and flow of operations in a manufacturing plant. FMS’s basic components are workstations (CNC/NC machine tools), automated material transportation, and central computer control systems. All operations of FMS are fully automated and process the raw material into finished goods without direct human intervention [2]. The vital property of a flexible manufacturing system is flexibility which measures the capability to manufacture a kind of product with the same equipment and auto-organize them to respond quickly to external stimulus [3]. Flexibility is mainly segregated into two basic categories and numerous subcategories: Machine flexibility assists the manufacturing of several products by the available machinery on the shop floor and routing flexibility enables performing similar operations by various machines [4]. Flexible manufacturing systems deliver the right product at the right time; at the accurate level of quality; in the required quantity, with the only negative premise of high capital investment factor [1].
Realisation of responsive and sustainable reconfigurable manufacturing systems
Published in International Journal of Production Research, 2023
Jelena Milisavljevic-Syed, Jiahong Li, Hanbing Xia
FMS is a highly flexible manufacturing system composed of a group of processing stations, typically computer numerical control (CNC) machines, arranged in an automated machine cell. These CNC machines are interconnected through automated material storage and handling systems, controlled by an integrated computer system (Frolov et al. 2017). FMS is capable of producing a variety of part types. Despite its potential, FMS has not been widely adopted in practice, and many manufacturers who have implemented FMS are dissatisfied with its performance. This reluctance can be attributed to the high initial cost, lower production rates compared to DMS, and the requirement for highly skilled workers to operate the system, which incurs additional expenses and training time.