BPSS: a scheduling support system for the packaging industry
Operations Research
Scheduling in Computer and Manufacturing Systems
Scheduling in Computer and Manufacturing Systems
Minimizing makespan in hybrid flowshops
Operations Research Letters
A Genetic Algorithm for Hybrid Flow-shop Scheduling with Multiprocessor Tasks
Journal of Scheduling
Production and delivery scheduling problem with time windows
Computers and Industrial Engineering - Special issue: Selected papers from the 30th international conference on computers; industrial engineering
Computers and Operations Research
A new heuristic for scheduling the two-stage flowshop with additional resources
Computers and Industrial Engineering
Optimal cash flow and operational planning in a company supply chain
International Journal of Computer Integrated Manufacturing - Industrial Engineering and Systems Management
Scheduling hybrid flowshop with parallel batching machines and compatibilities
Computers and Operations Research
Scheduling of a single crane in batch annealing process
Computers and Operations Research
Production and delivery scheduling problem with time windows
Computers and Industrial Engineering - Special issue: Selected papers from the 30th international conference on computers; industrial engineering
Computers and Operations Research
Computers and Industrial Engineering
Solving two-stage hybrid flow shop using climbing depth-bounded discrepancy search
Computers and Industrial Engineering
Solving flexible flow-shop problem with a hybrid genetic algorithm and data mining: A fuzzy approach
Expert Systems with Applications: An International Journal
Ant colony optimization algorithm for a Bi-criteria 2-stage hybrid flowshop scheduling problem
Journal of Intelligent Manufacturing
Expert Systems with Applications: An International Journal
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A two-stage Hybrid Flowshop Problem (FS"m"""1"," "m"""2) is a two-center shop with several parallel machines per center and n jobs to be processed on at most one machine per center. The objective consists of minimizing the maximum completion time. Two two-phase methods based on Simulated Annealing and Tabu Search are proposed. The results are compared with solutions provided by existing heuristics, and with a new derived lower bound. These comparisons show the superiority of the derived lower bound and the efficiency of the proposed heuristic. The Tabu search based heuristic yields the optimal solution for 35% of the problems. Its average relative error is 0.82%.