Multi-objective scheduling with fuzzy due-date
ICC&IE Selected papers from the 22nd ICC&IE conference on Computers & industrial engineering
A new triangular fuzzy Johnson algorithm
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INFORMS Journal on Computing
Parallel machine scheduling models with fuzzy processing times
Information Sciences—Informatics and Computer Science: An International Journal
Scheduling unrelated parallel machines with sequence-dependent setups
Computers and Operations Research
Computers and Operations Research
Parallel machine scheduling problems with a single server
Mathematical and Computer Modelling: An International Journal
Information Sciences: an International Journal
Integrating parts design characteristics and scheduling on parallel machines
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Minimizing Total Tardiness in Parallel-Machine Scheduling with Release Dates
International Journal of Applied Evolutionary Computation
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This paper presents a new mixed-integer goal programming (MIGP) model for a parallel-machine scheduling problem with sequence-dependent setup times and release dates. Two objectives are considered in the model to minimize the total weighted flow time and the total weighted tardiness simultaneously. Due to the complexity of the above model and uncertainty involved in real-world scheduling problems, it is sometimes unrealistic or even impossible to acquire exact input data. Hence, we consider the parallel-machine scheduling problem with sequence-dependent set-up times under the hypothesis of fuzzy processing time's knowledge and two fuzzy objectives as the MIGP model. In addition, a quite effective and applicable methodology for solving the above fuzzy model are presented. At the end, the effectiveness of the proposed model and the denoted methodology is demonstrated through some test problems.