The problem of uninterrupted hybrid flow shop scheduling with regard to the fuzzy processing time

Kian, R. ORCID: 0000-0001-8786-6349, 2021. The problem of uninterrupted hybrid flow shop scheduling with regard to the fuzzy processing time. Academic Journal of Applied Mathematical Sciences, 1 (1), pp. 94-107. ISSN 2415-2188

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Abstract

Purpose: In this paper, an uninterrupted hybrid flow shop scheduling problem is modeled under uncertainty conditions. Due to the uncertainty of processing time in workshops, which is due to delays in receiving raw materials or machine failure, fuzzy programming method has been used to control the processing time parameter. In the proposed model, there are several jobs that must be processed by machines in sequence. The main purpose of the proposed model is to determine the correct sequence of operations and assign operations to each machine at each stage, so that the total completion time (Cmax) is minimized.

Methodology: In this paper, the fuzzy programming method is used to control the uncertain parameter. Also, The GAMS software and CPLEX solver have also been used to solve the sample problems.

Findings: The results of solving the problem in small and medium size show that with increasing the rate of uncertainty, the amount of processing time increases and therefore the completion time of the whole work increases. On the other hand, with the increase in the number of machines in each stage due to the high efficiency of the machines, the completion time of all works has decreased.

Originality/Value: The most important innovation of this article is the design of uninterrupted hybrid flow shop scheduling with regard to the fuzzy processing time.

Item Type: Journal article
Publication Title: Academic Journal of Applied Mathematical Sciences
Creators: Kian, R.
Publisher: Academic Research Publishing Group
Date: 2 April 2021
Volume: 1
Number: 1
ISSN: 2415-2188
Identifiers:
NumberType
10.52547/ijimes.1.1.94DOI
1479863Other
Divisions: Schools > Nottingham Business School
Record created by: Laura Ward
Date Added: 19 Oct 2021 15:12
Last Modified: 19 Oct 2021 15:12
URI: http://irep.ntu.ac.uk/id/eprint/44473

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