Job-shop scheduling using automated reasoning: a case study of the car-sequencing problem
Journal of Automated Reasoning
Sequencing to minimize work overload in assembly lines with product options
Management Science
Sequencing JIT mixed-model assembly lines
Management Science
Level schedules for mixed-model, Just-in-Time processes
Management Science
Sequencing in mixed model assembly lines: a genetic algorithm approach
Computers and Operations Research
On the complexity of the car sequencing problem
Operations Research Letters
Fair referee assignments for professional football leagues
Computers and Operations Research
International Journal of Computer Integrated Manufacturing - THE CHALLENGES OF MANUFACTURING IN THE GLOBALLY INTEGRATED ECONOMY. GUEST EDITOR: ROBIN G. QIU
On the complexity of the car sequencing problem
Operations Research Letters
Key performance indicators for the evaluation of balanced lines
Proceedings of the Winter Simulation Conference
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This paper deals with two most important problems arising in sequencing mixed-model assembly lines. One problem is to keep the line's workstations loads as constant as possible (the 'car sequencing problem') while the other is to keep the usage rate of all parts fed into the final assembly as constant as possible (the 'level scheduling problem'). The first problem is a difficult constraint-satisfaction problem while the second requires to optimize a nonlinear objective function. The contribution of this paper is twofold: First, we describe a branching scheme and bounding algorithms for the computation of feasible sequences for the car sequencing problem. Second, we present an algorithm which can optimize a level scheduling objective while taking care of the car sequencing constraints. Computational results are presented which show that feasible sequences can be obtained quickly for large problem instances.