Combinatorial optimization: algorithms and complexity
Combinatorial optimization: algorithms and complexity
Sequencing with earliness and tardiness penalties: a review
Operations Research
Minimizing total tardiness on one machine is NP-hard
Mathematics of 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
Batch scheduling and common due-date assignment on a single machine
Discrete Applied Mathematics
Scheduling independent tasks to reduce mean finishing time
Communications of the ACM
A common due-date assignment problem on parallel identical machines
Computers and Operations Research
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
A note on a due-date assignment on a two-machine flow-shop
Computers and Operations Research
Two due date assignment problems in scheduling a single machine
Operations Research Letters
Discrete Applied Mathematics
Computers and Operations Research
Scheduling with due date assignment under special conditions on job processing
Journal of Scheduling
A note: Minmax due-date assignment problem with lead-time cost
Computers and Operations Research
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We study two due date assignment problems in various multi-machine scheduling environments. We assume that each job can be assigned an arbitrary non-negative due date, but longer due dates have higher cost. The first problem is to minimize a cost function, which includes earliness, tardiness and due date assignment costs. In the second problem, we minimize an objective function which includes the number of tardy jobs and due date assignment costs. We settle the complexity of many of these problems by either showing that they are $\mathcal{NP}$ -hard or by providing a polynomial time solution for them. We also include approximation and non-approximability results for several parallel-machine problems.