Advanced Autonomous Distributed Manufacturing System Using Active Database.

Matsumoto, Takuya; Kato, Yoshiaki; Nagafune, Nobuya; Wakamatsu, Hidefumi; Shirase, Keiichi; Arai, Eiji

doi:10.1299/kikaic.65.837

Cited by 5 publications

(5 citation statements)

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“…As for distributed production scheduling, methods based on combinatorial auction 38) , mediator architecture 39) , active database 40) , ontology 41), 42) , etc. have been proposed.…”

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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“…As for distributed production scheduling, methods based on combinatorial auction 38) , mediator architecture 39) , active database 40) , ontology 41), 42) , etc. have been proposed.…”

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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“…Along with such a distributed method for evaluating an operation plan, it is desirable to also develop a distributed method for generating an operation plan. As for distributed production scheduling, methods using combinatorial auction [10], mediator architecture [11] and active database [12] have been proposed. However, from the point of view of performing production scheduling together with the immediate evaluation of the generated schedule by the highly-distributed manufacturing system simulation, it is desirable to develop another distributed scheduling method which is based on the same architecture that the simulation method has.…”

Section: Introductionmentioning

confidence: 99%

A Method of Distributed Production Management for Highly-Distributed Flexible Job Shops

Yasuda¹,

Morinaga²,

Wakamatsu³

2020

IFIP Advances in Information and Communication Technology

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Recent developments of computer technology and information and communication technology are realizing highly-distributed manufacturing systems (HDMSs) in which each machine is computerized and can communicate with other machines. For this type of manufacturing system, a distributed method of discrete event simulation and a distributed method of job shop production scheduling were proposed, respectively. Because these methods use a common distributed sequencing algorithm for HDMSs, they can be integrated and an integrated method of distributed simulation and scheduling was also proposed for job shops. This paper describes an extension of the method to flexible job shops, in which an operation is processed by one of multiple machines. A distributed algorithm for selecting the machine which processes the next operation of an intermediate job based on a given dispatching rule was proposed. By incorporating this algorithm, the conventional method can be applied to flexible job shops. In addition, a method of optimizing the machine selection by adjusting the ratio of each of multiple dispatching rules was proposed. The feasibility of the proposed method was shown by computer experiments.

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“…This requirement has driven development of distributed manufacturing systems where each production area is managed by a computer and the whole system is controlled by communications among the computers. In the area of production scheduling, distributed methods using auction mechanisms [7], active databases [8], mediator architecture [9], tags and information on them [10], message exchanges based on recursive propagation method [11], etc. have been discussed.…”

Section: Introductionmentioning

confidence: 99%

A Method of Flexible Job-Shop Scheduling for Highly-Distributed Manufacturing Systems

Morinaga¹,

Nakamura²,

Wakamatsu³

et al. 2018

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Recent advances in computer and network technologies is achieving highly-distributed manufacturing systems (HDMSs) from the hardware point of view, where each facilities is computerized and manages itself autonomously by communicating with other facilities. Considering this hardware environment, a distributed method for flexible job-shop scheduling (FJS) was proposed, where machine selection based on a dispatching rule and driving of occurrence of events on facilities are performed by communication among facilities. In this method, only the simplest dispatching rules for machine selection and job selection were considered, and the obtained schedule may not be acceptable enough. It is desirable to enhance this method so that other rules can be utilized and various schedules are obtained. This paper deals with some other rules (LPT, LWKR, MWKR, EDD, NINQ) and provides a distributed FJS method for HDMSs based on those rules. Feasibility of the proposed method was proven by an example.

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Advanced Autonomous Distributed Manufacturing System Using Active Database.

Cited by 5 publications

References 0 publications

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

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

A Method of Distributed Production Management for Highly-Distributed Flexible Job Shops

A Method of Flexible Job-Shop Scheduling for Highly-Distributed Manufacturing Systems

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