A genetic algorithm for fuzzy order acceptance and scheduling problem

In light of the imprecise and fuzzy nature of real production environments, the order acceptance and scheduling (OAS) problem is associated with fuzzy processing times, fuzzy sequence dependent set up time and fuzzy due dates. In this study, a genetic algorithm (GA) which uses fuzzy ranking methods...

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Main Authors: Esra Karakaş, Hakan Özpalamutçu
Format: Article
Language:English
Published: Balikesir University 2019-04-01
Series:An International Journal of Optimization and Control: Theories & Applications
Subjects:
Online Access:http://www.ijocta.org/index.php/files/article/view/711
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author Esra Karakaş
Hakan Özpalamutçu
author_facet Esra Karakaş
Hakan Özpalamutçu
author_sort Esra Karakaş
collection DOAJ
description In light of the imprecise and fuzzy nature of real production environments, the order acceptance and scheduling (OAS) problem is associated with fuzzy processing times, fuzzy sequence dependent set up time and fuzzy due dates. In this study, a genetic algorithm (GA) which uses fuzzy ranking methods is proposed to solve the fuzzy OAS problem. The proposed algorithm is illustrated and analyzed using examples with different order sizes. As illustrative numerical examples, fuzzy OAS problems with 10, 15, 20, 25, 30 and 100 orders are considered. The feasibility and effectiveness of the proposed method are demonstrated. Due to the NP-hard nature of the problem, the developed GA has great importance to obtain a solution even for big scale fuzzy OAS problem.  Also, the proposed GA can be utilized easily by all practitioners via the developed user interface.
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spelling doaj.art-fb872dbbcf8e4dc2b057149c439a512d2023-02-15T16:10:42ZengBalikesir UniversityAn International Journal of Optimization and Control: Theories & Applications2146-09572146-57032019-04-019210.11121/ijocta.01.2019.00711A genetic algorithm for fuzzy order acceptance and scheduling problemEsra Karakaş0Hakan Özpalamutçu1Business Administration Department, Adana Science and Technology UniversityDepartment of Industrial Engineering, Adana Science and Technology UniversityIn light of the imprecise and fuzzy nature of real production environments, the order acceptance and scheduling (OAS) problem is associated with fuzzy processing times, fuzzy sequence dependent set up time and fuzzy due dates. In this study, a genetic algorithm (GA) which uses fuzzy ranking methods is proposed to solve the fuzzy OAS problem. The proposed algorithm is illustrated and analyzed using examples with different order sizes. As illustrative numerical examples, fuzzy OAS problems with 10, 15, 20, 25, 30 and 100 orders are considered. The feasibility and effectiveness of the proposed method are demonstrated. Due to the NP-hard nature of the problem, the developed GA has great importance to obtain a solution even for big scale fuzzy OAS problem.  Also, the proposed GA can be utilized easily by all practitioners via the developed user interface.http://www.ijocta.org/index.php/files/article/view/711Fuzzy Programmingorder acceptance and schedulingsigned distanceintegral valuegenetic algorithm
spellingShingle Esra Karakaş
Hakan Özpalamutçu
A genetic algorithm for fuzzy order acceptance and scheduling problem
An International Journal of Optimization and Control: Theories & Applications
Fuzzy Programming
order acceptance and scheduling
signed distance
integral value
genetic algorithm
title A genetic algorithm for fuzzy order acceptance and scheduling problem
title_full A genetic algorithm for fuzzy order acceptance and scheduling problem
title_fullStr A genetic algorithm for fuzzy order acceptance and scheduling problem
title_full_unstemmed A genetic algorithm for fuzzy order acceptance and scheduling problem
title_short A genetic algorithm for fuzzy order acceptance and scheduling problem
title_sort genetic algorithm for fuzzy order acceptance and scheduling problem
topic Fuzzy Programming
order acceptance and scheduling
signed distance
integral value
genetic algorithm
url http://www.ijocta.org/index.php/files/article/view/711
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