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
Algorithms for Scheduling Independent Tasks
Journal of the ACM (JACM)
A common due-date assignment problem on parallel identical machines
Computers and Operations Research
A note on a due-date assignment on a two-machine flow-shop
Computers and Operations Research
Computers and Operations Research
Optimal due date assignment in multi-machine scheduling environments
Journal of Scheduling
Discrete Applied Mathematics
Computers & Mathematics with Applications
Revised Delivery-Time Quotation in Scheduling with Tardiness Penalties
Operations Research
A faster algorithm for a due date assignment problem with tardy jobs
Operations Research Letters
Scheduling with due date assignment under special conditions on job processing
Journal of Scheduling
A survey on offline scheduling with rejection
Journal of Scheduling
A note: Minmax due-date assignment problem with lead-time cost
Computers and Operations Research
Hi-index | 0.00 |
We study two single-machine scheduling problems: minimizing the sum of weighted earliness, tardiness and due date assignment penalties and minimizing the weighted number of tardy jobs and due date assignment costs. We prove that both problems are strongly NP-hard and give polynomial solutions for some important special cases.