Fuzzy Integrated Cell Formation and Production Scheduling Considering Automated Guided Vehicles and Human Factors

In today's competitive environment, it is essential to design a flexible-responsive manufacturing system with automatic material handling systems. In this article, a fuzzy mixed integer linear programming model is designed for cell formation problems including the scheduling of parts within cel...

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Vydané v:	IEEE transactions on fuzzy systems Ročník 29; číslo 12; s. 3686 - 3695
Hlavní autori:	Goli, Alireza, Tirkolaee, Erfan Babaee, Aydin, Nadi Serhan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.12.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Ant colony optimization Automated guided vehicles Automation Business competition Cellular manufacture Cellular manufacturing Cellular manufacturing system Charge transfer fuzzy linear programming GA/heuristic algorithm Genetic algorithms Human factors Integer programming inter-cellular automated guided vehicle (AGV) Linear programming Manufacturing Materials handling Mixed integer Mixed integer linear programming Optimization Particle swarm optimization Production Production scheduling Remotely guided vehicles
ISSN:	1063-6706, 1941-0034
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Abstract	In today's competitive environment, it is essential to design a flexible-responsive manufacturing system with automatic material handling systems. In this article, a fuzzy mixed integer linear programming model is designed for cell formation problems including the scheduling of parts within cells in a cellular manufacturing system (CMS) where several automated guided vehicles (AGVs) are in charge of transferring the exceptional parts. Notably, using these AGVs in CMS can be challenging from the perspective of mathematical modeling due to consideration of AGVs' collision as well as parts pickup/delivery. This article investigates the role of AGVs and human factors as indispensable components of automation systems in the cell formation and scheduling of parts under fuzzy processing time. The proposed objective function includes minimizing the makespan and intercellular movements of parts. Due to the NP-hardness of the problem, a hybrid genetic algorithm (GA/heuristic) and a whale optimization algorithm (WOA) are developed. The experimental results reveal that our proposed algorithms have a high performance compared to CPLEX and the other two well-known algorithms, i.e., particle swarm optimization and ant colony optimization, in terms of computational efficiency and accuracy. Finally, WOA stands out as the best algorithm to solve the problem.
AbstractList	In today's competitive environment, it is essential to design a flexible-responsive manufacturing system with automatic material handling systems. In this article, a fuzzy mixed integer linear programming model is designed for cell formation problems including the scheduling of parts within cells in a cellular manufacturing system (CMS) where several automated guided vehicles (AGVs) are in charge of transferring the exceptional parts. Notably, using these AGVs in CMS can be challenging from the perspective of mathematical modeling due to consideration of AGVs’ collision as well as parts pickup/delivery. This article investigates the role of AGVs and human factors as indispensable components of automation systems in the cell formation and scheduling of parts under fuzzy processing time. The proposed objective function includes minimizing the makespan and intercellular movements of parts. Due to the NP-hardness of the problem, a hybrid genetic algorithm (GA/heuristic) and a whale optimization algorithm (WOA) are developed. The experimental results reveal that our proposed algorithms have a high performance compared to CPLEX and the other two well-known algorithms, i.e., particle swarm optimization and ant colony optimization, in terms of computational efficiency and accuracy. Finally, WOA stands out as the best algorithm to solve the problem.
Author	Goli, Alireza Tirkolaee, Erfan Babaee Aydin, Nadi Serhan
Author_xml	– sequence: 1 givenname: Alireza orcidid: 0000-0001-9535-9902 surname: Goli fullname: Goli, Alireza email: aireza.g88@gmail.com organization: Faculty of Engineering, University of Isfahan, Isfahan, Iran – sequence: 2 givenname: Erfan Babaee orcidid: 0000-0003-1664-9210 surname: Tirkolaee fullname: Tirkolaee, Erfan Babaee email: erfan.babaee@istinye.edu.tr organization: Department of Industrial Engineering, Istinye University, Istanbul, Turkey – sequence: 3 givenname: Nadi Serhan surname: Aydin fullname: Aydin, Nadi Serhan email: serhan.aydin@istinye.edu.tr organization: Department of Industrial Engineering, Istinye University, Istanbul, Turkey
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SubjectTerms	Algorithms Ant colony optimization Automated guided vehicles Automation Business competition Cellular manufacture Cellular manufacturing Cellular manufacturing system Charge transfer fuzzy linear programming GA/heuristic algorithm Genetic algorithms Human factors Integer programming inter-cellular automated guided vehicle (AGV) Linear programming Manufacturing Materials handling Mixed integer Mixed integer linear programming Optimization Particle swarm optimization Production Production scheduling Remotely guided vehicles
Title	Fuzzy Integrated Cell Formation and Production Scheduling Considering Automated Guided Vehicles and Human Factors
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