A survey of exact algorithms for the simple assembly line balancing problem
Management Science
Fuzzy goal programming- an additive model
Fuzzy Sets and Systems
A goal approach to assembly line balancing
Computers and Operations Research
A generalization of fuzzy goal programming with preemptive structure
Computers and Operations Research
Two-sided assembly line balancing to maximize work relatedness and slackness
Computers and Industrial Engineering
A mathematical model and a genetic algorithm for two-sided assembly line balancing
Computers and Operations Research
2-ANTBAL: An ant colony optimisation algorithm for balancing two-sided assembly lines
Computers and Industrial Engineering
Balancing fuzzy multi-objective two-sided assembly lines via Bees Algorithm
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - FUZZYSS’2009
Computers and Industrial Engineering
Reduction approaches for a generalized line balancing problem
Computers and Operations Research
Computers and Industrial Engineering
A meta-heuristic algorithm for the fuzzy assembly line balancing type-E problem
Computers and Operations Research
Two-sided assembly line balancing considering the relationships between tasks
Computers and Industrial Engineering
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Two-sided assembly lines are especially used at the assembly of large-sized products, such as trucks and buses. In this type of a production line, both sides of the line are used in parallel. In practice, it may be necessary to optimize more than one conflicting objectives simultaneously to obtain effective and realistic solutions. This paper presents a mathematical model, a pre-emptive goal programming model for precise goals and a fuzzy goal programming model for imprecise goals for two-sided assembly line balancing. The mathematical model minimizes the number of mated-stations as the primary objective and it minimizes the number of stations as a secondary objective for a given cycle time. The zoning constraints are also considered in this model, and a set of test problems taken from literature is solved. The proposed goal programming models are the first multiple-criteria decision-making approaches for two-sided assembly line balancing problem with multiple objectives. The number of mated-stations, cycle time and the number of tasks assigned per station are considered as goals. An example problem is solved and a computational study is conducted to illustrate the flexibility and the efficiency of the proposed goal programming models. Based on the decision maker's preferences, the proposed models are capable of improving the value of goals.