Developing a new fuzzy approach for solving two-machine flow shop scheduling problems under fuzziness

The current study investigates a two-machine Flow Shop Scheduling (FSS) problem with piecewise quadratic fuzzy processing time. It is illogical to consider that the processing time is exact but uncertain because it varies due to human factors. One of the most popular approximate intervals, namely, c...

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Main Author: Hamiden Khalifa
Format: Article
Language:English
Published: REA Press 2023-12-01
Series:Computational Algorithms and Numerical Dimensions
Subjects:
Online Access:https://www.journal-cand.com/article_194229_91b2c6ef13918662de6baa0cb8b408c6.pdf
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author Hamiden Khalifa
author_facet Hamiden Khalifa
author_sort Hamiden Khalifa
collection DOAJ
description The current study investigates a two-machine Flow Shop Scheduling (FSS) problem with piecewise quadratic fuzzy processing time. It is illogical to consider that the processing time is exact but uncertain because it varies due to human factors. One of the most popular approximate intervals, namely, close interval approximation for the Piecewise Quadratic Fuzzy Number (PQFN), is introduced. A solution method with the help of Johnson's algorithm, the close interval approximation of PQFNs, and the modified McCahon and Lee's algorithm is developed to determine the minimization of the expected makespan. Numerical experimentation is performed to demonstrate the effectiveness of the suggested methodology.
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institution Kabale University
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series Computational Algorithms and Numerical Dimensions
spelling doaj-art-bc97d8f2642744b1b6a57d04e8d7d7322025-01-30T11:22:30ZengREA PressComputational Algorithms and Numerical Dimensions2980-76462980-93202023-12-012419520410.22105/cand.2023.194229194229Developing a new fuzzy approach for solving two-machine flow shop scheduling problems under fuzzinessHamiden Khalifa0Department of Mathematics, College of Science and Arts, Qassim University, Al-Badaya 51951 Saudi Arabia.The current study investigates a two-machine Flow Shop Scheduling (FSS) problem with piecewise quadratic fuzzy processing time. It is illogical to consider that the processing time is exact but uncertain because it varies due to human factors. One of the most popular approximate intervals, namely, close interval approximation for the Piecewise Quadratic Fuzzy Number (PQFN), is introduced. A solution method with the help of Johnson's algorithm, the close interval approximation of PQFNs, and the modified McCahon and Lee's algorithm is developed to determine the minimization of the expected makespan. Numerical experimentation is performed to demonstrate the effectiveness of the suggested methodology.https://www.journal-cand.com/article_194229_91b2c6ef13918662de6baa0cb8b408c6.pdfoptimization problemsproduction schedulingtwo-machine flow shops problempiecewise quadratic fuzzy numbersdecision makingclose interval approximationexpected makespanoptimal sequence
spellingShingle Hamiden Khalifa
Developing a new fuzzy approach for solving two-machine flow shop scheduling problems under fuzziness
Computational Algorithms and Numerical Dimensions
optimization problems
production scheduling
two-machine flow shops problem
piecewise quadratic fuzzy numbers
decision making
close interval approximation
expected makespan
optimal sequence
title Developing a new fuzzy approach for solving two-machine flow shop scheduling problems under fuzziness
title_full Developing a new fuzzy approach for solving two-machine flow shop scheduling problems under fuzziness
title_fullStr Developing a new fuzzy approach for solving two-machine flow shop scheduling problems under fuzziness
title_full_unstemmed Developing a new fuzzy approach for solving two-machine flow shop scheduling problems under fuzziness
title_short Developing a new fuzzy approach for solving two-machine flow shop scheduling problems under fuzziness
title_sort developing a new fuzzy approach for solving two machine flow shop scheduling problems under fuzziness
topic optimization problems
production scheduling
two-machine flow shops problem
piecewise quadratic fuzzy numbers
decision making
close interval approximation
expected makespan
optimal sequence
url https://www.journal-cand.com/article_194229_91b2c6ef13918662de6baa0cb8b408c6.pdf
work_keys_str_mv AT hamidenkhalifa developinganewfuzzyapproachforsolvingtwomachineflowshopschedulingproblemsunderfuzziness