An algorithm for the CON due-date determination and sequencing problem
Computers and Operations Research
Sequencing with earliness and tardiness penalties: a review
Operations Research
Parallel machine scheduling to minimize costs for earliness and number of tardy jobs
Discrete Applied Mathematics - Special issue on new frontiers in the theory and practice of combinatorial optimization: applications in manufacturing and VLSI design
Earliness penalties on a single machine subject to precedence constraints
Computers and Operations Research
A common due-date assignment problem on parallel identical machines
Computers and Operations Research
Scheduling under Fuzziness
Scheduling with fuzzy delays and fuzzy precedences
Fuzzy Sets and Systems - Optimisation and decision
On weighted possibilistic mean and variance of fuzzy numbers
Fuzzy Sets and Systems - Theme: Basic concepts
Fuzzy Optimization and Decision Making
Single-Machine Scheduling with Exponential Processing Times and General Stochastic Cost Functions
Journal of Global Optimization
Minimizing the earliness-tardiness costs on a single machine
Computers and Operations Research
Computers and Operations Research
Computers and Operations Research
Multi-objective genetic algorithm for single machine scheduling problem under fuzziness
Fuzzy Optimization and Decision Making
Setting due dates in a stochastic single machine environment
Computers and Operations Research
Applied Fuzzy Arithmetic: An Introduction with Engineering Applications
Applied Fuzzy Arithmetic: An Introduction with Engineering Applications
Two due date assignment problems in scheduling a single machine
Operations Research Letters
Computers & Mathematics with Applications
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Due date assignment scheduling problems with deterministic and stochastic parameters have been studied extensively in recent years. In this paper, we consider a single machine due date assignment scheduling problem with uncertain processing times and general precedence constraint among the jobs. The processing times of the jobs are assumed to be fuzzy numbers. We first propose an optimal polynomial time algorithm for the problem without precedence constraints among jobs. Then, we show that if general precedence constraint is involved, the problem is NP-hard. Finally, we show that if the precedence constraint is a tree or a collection of trees, the problem is still polynomially solvable.