A note on the weighted tardiness problem
Operations Research
Scheduling parallel machines to minimize total weighted and unweighted tardiness
Computers and Operations Research
Scheduling independent tasks to reduce mean finishing time
Communications of the ACM
Parallel machine selection and job scheduling to minimize machine cost and job tardiness
Computers and Operations Research
Minimizing the total weighted completion time on unrelated parallel machines with stochastic times
WSC '05 Proceedings of the 37th conference on Winter simulation
Scheduling unrelated parallel machines with sequence-dependent setups
Computers and Operations Research
Computers and Operations Research
International Journal of Computer Applications in Technology
Computers and Industrial Engineering
Computers and Operations Research
Computers and Operations Research
Journal of Intelligent Manufacturing
Computers and Operations Research
Computers and Operations Research
Computers and Operations Research
Computers and Industrial Engineering
Sequence-dependent group scheduling problem on unrelated-parallel machines
Expert Systems with Applications: An International Journal
Journal of Intelligent Manufacturing
Journal of Intelligent Manufacturing
Makespan minimization for scheduling unrelated parallel machines with setup times
Journal of Intelligent Manufacturing
Electronic Notes in Theoretical Computer Science (ENTCS)
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This article considers the problem of scheduling a given set of independent jobs on unrelated parallel machines to minimize the total weighted tardiness. The problem is known to be NP-hard in the strong sense. Efficient lower and upper bounds are developed. The lower bound is based on the solution of an assignment problem, while the upper bound is obtained by a two-phase heuristic. A branch-and-bound algorithm that incorporates various dominance rules is presented. Computational experiments are conducted to demonstrate the performance of the proposed algorithm.