Scheduling parallel manufacturing cells with resource flexibility
Management Science
Computers and Operations Research
Heuristics for hybrid flow shops with controllable processing times and assignable due dates
Computers and Operations Research
Single machine scheduling with a variable common due date and resource-dependent processing times
Computers and Operations Research
Using the FDH formulation of DEA to evaluate a multi-criteria problem in parallel machine scheduling
Computers and Industrial Engineering
Comparison of heuristics for flowtime minimisation in permutation flowshops
Computers and Operations Research
Simulated annealing heuristic for flow shop scheduling problems with unrelated parallel machines
Computers and Operations Research
Two ant-colony algorithms for minimizing total flowtime in permutation flowshops
Computers and Industrial Engineering - Special issue: Selected papers from the 30th international conference on computers; industrial engineering
Computers and Industrial Engineering - Special issue: Group technology/cellular manufacturing
Permutation flowshop scheduling problems with maximal and minimal time lags
Computers and Operations Research
Computers and Operations Research
A neural network to enhance local search in the permutation flowshop
Computers and Industrial Engineering
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This paper considers a permutation flowshop problem with secondary resources with the objective of minimizing the number of tardy jobs. The number of secondary resources assigned to the machines (workcenters), as well as the allocation of resources among the various machines, will play a significant role in the time required to process each job by its specified due date. This problem finds application in a large number of environments including manufacturing, maintenance, warehousing operations, as well as in healthcare. The research presents a lower bound for the permutation flowshop problem and evaluates its performance against the optimal solution for small, medium, and large instances. Several heuristics, including neighborhood search and simulated annealing, are presented to generate the secondary resource assignment and the allocation of jobs to the schedule. The computational complexity of the lower bound and computational examples for the heuristics are discussed.