A Study on Highly-Distributed Manufacturing System Simulation

Morinaga, Eiji; Yasuda, Daiki; Imagawa, Yudai; Wakamatsu, Hidefumi; Tsumaya, Akira; Inoue, Tatsuo; Iwamura, Koji; Ishibashi, Motohiro; Fujii, Nobutaka; Arai, Eiji; Fujii, Susumu

doi:10.1016/j.promfg.2020.01.227

Cited by 6 publications

(7 citation statements)

References 7 publications

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“…It was found that RFID technology makes AGV's AGV's smart decisions. Morinaga et al [22], addressing the concept of high-density production systems (HDMS), in which each facility operated electronically and self-regulated by interacting with other facilities and transporting the AGV into a distributed framework. Quadrini et al [23], have suggested open communication channels for connecting AGVs to the Fleet Management System (FMS) to be as compatible with the largest AGV manufacturer / supplier as possible.…”

Section: Figurementioning

confidence: 99%

Review on Optimization Techniques for AGV’s Optimization in Flexible Manufacturing System

GUPTA

2023

Gazi University Journal of Science

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Section: Figurementioning

confidence: 99%

Review on Optimization Techniques for AGV’s Optimization in Flexible Manufacturing System

GUPTA

2023

Gazi University Journal of Science

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“…Based on this concept, simple algorithms for sorting events in chronological order were given and highly-distributed manufacturing system simulation was proposed 11) . This simulation method was then enhanced so that transfer of objects among facilities using automated guided vehicles (AGVs) and transportation simulation can be dealt with 12) .…”

Section: Introductionmentioning

confidence: 99%

Enhanced Integrated Method of Distributed Scheduling and Simulation for Highly-Distributed Flexible Job Shops

MORINAGA,

YASUDA,

WAKAMATSU

2023

Journal of Smart Processing

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Recent advances in computer technology and information and communication technology are realizing highly-distributed manufacturing systems (HDMSs) where each machine is computerized and can communicate with other machines. For this type of manufacturing system, a distributed method of discrete event simulation and that of production scheduling were proposed, respectively. Because these methods have the same architecture based on common distributed sequencing algorithms for HDMSs, they can be integrated and the integration makes it possible to generate a better operation plan efficiently. Considering this point, an integrated method of the distributed scheduling and simulation for HDMSs was developed. This paper discusses enhancement of this method. In the integrated method, several dispatching rules for job selection and machine selection are utilized and the weights of the rules are optimized using simulated annealing by an external monitoring system in a centralized manner. This optimization process is improved so that it is performed in a decentralized manner by each machine with synchronization by the monitoring system. The optimization process is enhanced further so that not only non-delay schedules but active schedules can be searched. The effectiveness of this enhanced method was shown by numerical experiments.

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“…Based on this idea, simple algorithms for sorting events on machines in chronological order by message exchanges among the machines were given and highly-decentralized manufacturing system simulation was proposed [5]. This method was then enhanced so that transfer of objects among facilities using automated guided vehicles (AGVs) and transportation simulation can be dealt with [6].…”

Section: Introductionmentioning

confidence: 99%

Method for Supporting Decision-Making in Rescheduling for Lean Flexible Manufacturing

Morinaga,

Yasuda,

Wakamatsu

2023

Transactions of ISCIE

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In high-mix low-volume manufacturing and agile manufacturing, flexibility to cope with fluctuations in production conditions is a key for competitive production. To realize the flexible manufacturing, it is required to immediately generate, evaluate, modify and determine a production schedule which is suitable for the new condition. Decentralized methods of scheduling and simulation for the immediate generation and evaluation have been developed based on a concept of highly-distributed manufacturing systems in which each machine is computerized and can communicate with other machines. Although these methods are useful for performing the flexible manufacturing, it is possible that the original schedule is good even for the new production condition and performing rescheduling is in vain. This research aims at supporting decision-making on rescheduling for realizing lean flexible manufacturing in which rescheduling is performed only when it is effective. In this paper, delay in operation due to inaccurate estimation of processing time is considered, and the following method is proposed: When it turns out completion of an operation delays and the amount of the delay is estimated, the original schedule is repaired by the right-shift policy. The repaired schedule is then analyzed using simple criteria for judging whether rescheduling should be executed or not. Several criteria focused on critical path were given, and the effectiveness of this support method was shown by numerical experiments. NomenclatureJ total number of jobs O j total number of required operations of job j O jo the o-th operation of job j M jo the set of machines which can process O jo S jo starting time of O jo F jo finishing time of O jo P jo required processing time of O jo EST jo the earliest starting time of O jo LST jo the latest starting time of O jo

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A Study on Highly-Distributed Manufacturing System Simulation

Cited by 6 publications

References 7 publications

Review on Optimization Techniques for AGV’s Optimization in Flexible Manufacturing System

Review on Optimization Techniques for AGV’s Optimization in Flexible Manufacturing System

Enhanced Integrated Method of Distributed Scheduling and Simulation for Highly-Distributed Flexible Job Shops

Method for Supporting Decision-Making in Rescheduling for Lean Flexible Manufacturing

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