An effective hybrid goal programming approach for multi-objective straight assembly line balancing problem with stochastic parameters

A new multi-objective straight assembly line balancing problem is focused in this study. The problem happens in a stochastic environment where the task times and the task performing quality levels are distributed normally. The objectives like equipment purchasing cost, worker time dependent wage, an...

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Bibliographic Details
Published in:Operational research Vol. 20; no. 4; pp. 1939 - 1976
Main Authors: Mardani-Fard, Heydar Ali, Hadi-Vencheh, Abdollah, Mahmoodirad, Ali, Niroomand, Sadegh
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2020
Springer Nature B.V
Subjects:
Assembly lines
Balancing
Business and Management
Classification
Computational Intelligence
Equipment costs
Goal programming
Linearization
Management Science
Mathematics
Mixed integer
Multiple objective analysis
Operations Research
Operations Research/Decision Theory
Optimization
Original Paper
Time dependence
Work stations
Workers
90C11
90C29
Fuzzy programming
Multi-objective optimization
Assembly line balancing
Stochastic programming
Goal programming
90C70
ISSN:1109-2858, 1866-1505
Online Access:Get full text
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Summary:A new multi-objective straight assembly line balancing problem is focused in this study. The problem happens in a stochastic environment where the task times and the task performing quality levels are distributed normally. The objectives like equipment purchasing cost, worker time dependent wage, and average task performing quality of the assembly line are to be optimized simultaneously. A mixed integer non-linear formulation is proposed for the problem. Applying a chance-constrained modeling approach and some linearization techniques the model is converted to a crisp multi-objective mixed integer linear formulation. To tackle such problem, a hybrid fuzzy programming approach is proposed and combined with a typical goal programming method to construct a new hybrid goal programming approach. The computational experiments of the study results in a superior performance of the proposed approach comparing to the literature.
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ISSN:1109-2858
1866-1505
DOI:10.1007/s12351-018-0428-8