An Entropy-based Mathematical Formulation for Straight Assembly Line Balancing Problem

2016 ◽  
Vol 7 (2) ◽  
pp. 57-68 ◽  
Author(s):  
Ahmad Heydari ◽  
Ali Mahmoodirad ◽  
Sadegh Niroomand

This paper focuses on formulating a typical simple assembly line balancing problem. A new objective function based on a nonlinear entropy function is considered for the simple assembly line balancing problem for the first time. This objective function force the stations to have more similar total task processing time, so that the workers of the stations will have similar work load. Using a bounded variable approach, the nonlinear objective function is converted to an approximated linear objective function. Finally, efficiency of the linearized formulation of the entropy-based assembly line balancing problem is tested by a numerical example.

2019 ◽  
Vol 39 (1) ◽  
pp. 113-123 ◽  
Author(s):  
Han-ye Zhang

Purpose The purpose of this study is to develop an immune genetic algorithm (IGA) to solve the simple assembly line balancing problem of type 1 (SALBP-1). The objective is to minimize the number of workstations and workstation load for a given cycle time of the assembly line. Design/methodology/approach This paper develops a new solution method for SALBP-1, and a user-defined function named ψ(·) is proposed to convert all the individuals to satisfy the precedence relationships during the operation of IGA. Findings Computational experiments suggest that the proposed method is efficient. Originality/value An IGA is proposed to solve the SALBP-1 for the first time.


2017 ◽  
Vol 104 ◽  
pp. 134-144 ◽  
Author(s):  
Celso Gustavo Stall Sikora ◽  
Thiago Cantos Lopes ◽  
Daniel Schibelbain ◽  
Leandro Magatão

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