The Collaboration of Human-Robot in Mixed-Model Four-Sided Assembly Line Balancing Problem
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The Collaboration of Human-Robot in Mixed-Model Four-Sided Assembly Line Balancing Problem Masoud Rabbani 1 & Seyedeh Zeinab Beladian Behbahan 1 & Hamed Farrokhi-Asl 2 Received: 12 April 2019 / Accepted: 16 February 2020 # Springer Nature B.V. 2020
Abstract In the new era, robots play a significant role in assembly lines to assemble different products. In this paper, a combination of humans and robots is used in the mixed-model assembly lines (MMAL) to get better performance from the assembly line. The four-sided assembly line (4-AL) is also considered; that is, in addition to the usual work done on the left and right side, the assembly is also performed on the above and beneath side in some lines. The above-sided tasks are done only by the robot, and it is decided on the other three sides to be done by a robot or a human. The problem’s model has two objectives, minimize the number of mated-station and the cost of utilizing different agents. A small-scale numerical example is solved by the GAMS which indicates the feasibility of the model. An Augmented Multi-Objective particle swarm optimization (AMOPSO) is used to solve the model in large dimensional. AMOPSO has utilized two new methods, local learning strategy and adaptive uniform mutation for the development of the MOPSO algorithm. The Multi-Objective particle swarm optimization (MOPSO) and AMOPSO solutions are compared with each other, and the results show that AMOPSO improves on the responses and has no significant effect on the complexity of solving the problem. Keywords Four-sided assembly line balancing . Human-robot collaboration . AMOPSO algorithm . Mixed-model assembly line
1 Introduction In assembly lines, workpieces move on a line by means of the conveyor belt and pass through several stations on their way. In each station, operators have a particular task, and at the end of the line, a final product is generated. Assembly line balancing assigns tasks to different stations. Simply put, the number of stations is determined by assembly line balancing [1]. A
* Masoud Rabbani [email protected] Seyedeh Zeinab Beladian Behbahan [email protected] Hamed Farrokhi-Asl [email protected] 1
School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
2
School of Industrial Engineering, Iran University of Science & Technology, Tehran, Iran
mathematical model for assembly line balancing which assigned tasks to stations was developed by Salveson [2] for the first time. Regarding the variety of productions, an assembly line is divided into three types: Simple, multi and MMAL [3]. In simple assembly line balancing (SALB), each task has particular processing time and precedence relation. Tasks in each station do not have permission to exceed the cycle time [4]. Two types of SALB are SALBP-1 and SALBP-2. When the cycle time is given, and the purpose is the minimization of the number of stations, it refers to SALBP-1. If the aim is to minimize cycle time for the definite number of stations, the problem is categorized as SA
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