Multi-criteria-based approach for job scheduling in industry 4.0 in smart cities using fuzzy logic

Priyan Malarvizhi Kumar*, Gokulnath Chandra Babu, Anandamurugan Selvaraj, Mohsin Raza, Ashish Kr Luhach, Vicente García Díaz

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

A flexible manufacturing system (FMS) is the model used for the system produced in the manufacturing industry, and it consists of the number of interconnected workstation. Inflexible manufacturing system scheduling of jobs has become a serious problem, even for a short breakdown of the machine and for the unexpected arrival of the product. To overcome this problem, a flexible manufacturing system using fuzzy rules is proposed. In this proposed model, four input variables are considered: (1) machine allocated processing time; (2) priority of the machine; (3) priority of the due date; and (4) priority of the setup time. The priority based on the job is the fuzzy variable, which shows the status of the job, based on which the next job will be selected for the processing in the machine. In this model, the machine will be selected first, and then, the scheduling is done based on the multi-criteria scheduling system. The obtained results are compared with the existing system and from the results. The improved scheduling strategy provides better results for the scheduling problem.

Original languageEnglish
Pages (from-to)12059-12074
Number of pages16
JournalSoft Computing
Volume25
Issue number18
Early online date17 Apr 2021
DOIs
Publication statusPublished - 1 Sep 2021

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