Combinatorial optimization: algorithms and complexity
Combinatorial optimization: algorithms and complexity
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
Approximation algorithms for minimizing the total weighted tardiness on a single machine
Theoretical Computer Science
Computers and Operations Research
Optimal due date assignment in multi-machine scheduling environments
Journal of Scheduling
Approximation algorithms for scheduling problems with a modified total weighted tardiness objective
Operations Research Letters
Two due date assignment problems in scheduling a single machine
Operations Research Letters
Minimizing total completion time and maximum cost simultaneously is solvable in polynomial time
Operations Research Letters
A note: Minmax due-date assignment problem with lead-time cost
Computers and Operations Research
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We study bicriteria problems of minimizing maximum tardiness and total due date assignment cost in various scheduling environments. We assume that each job can be assigned a different due date without any restriction, and that each due date assignment cost is a non-decreasing function of the quoted due date. We settle the complexity of most of the problems studied by either proving that they are NP-hard or finding a polynomial time solution for them. We also include approximation and non-approximability results for several parallel-machine problems.