A comparative evaluation of heuristic line balancing techniques
Management Science
A survey of exact algorithms for the simple assembly line balancing problem
Management Science
Fast, effective algorithms for simple assembly line balancing problems
Operations Research
Solving binary cutting stock problems by column generation and branch-and-bound
Computational Optimization and Applications
Evolution based learning in a job shop scheduling environment
Computers and Operations Research - Special issue on genetic algorithms
Design of efficient job shop scheduling rules
Proceedings of the 21st international conference on Computers and industrial engineering
Scheduling rules for dynamic shops that manufacture multi-level jobs
Computers and Industrial Engineering
Initialization strategies and diversity in evolutionary timetabling
Evolutionary Computation
Computers and Industrial Engineering
A two-stage-priority-rule-based algorithm for robust resource-constrained project scheduling
Computers and Industrial Engineering
A survey of dynamic scheduling in manufacturing systems
Journal of Scheduling
Firing sequences backward algorithm for simple assembly line balancing problem of type 1
Computers and Industrial Engineering
A Branch, Bound, and Remember Algorithm for the Simple Assembly Line Balancing Problem
INFORMS Journal on Computing
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Priority rule-based methods (PRBMs) rely on problem-specific knowledge to construct good solutions in a very short time. They can be used as stand-alone procedures or can be integrated into (partial) enumeration procedures, like branch and bound or dynamic programming, and heuristic solution methods. PRBMs are especially important for solving NP-hard optimization problems. In this paper, we formulate general design principles on how to construct good-performing PRBMs, based on a thorough computational investigation. Our principles allow to construct effective PRBMs already ad hoc, i.e. without time-consuming data mining algorithms. We conduct our analysis on the example of the NP-hard Simple Assembly Line Balancing Problem (SALBP), on which with small modifications most situations in the planning of assembly lines are based. We also provide a cross-validation of our results and illustrate the application of the formulated principles.