An algorithm for solving the job-shop problem
Management Science
Sequencing with earliness and tardiness penalties: a review
Operations Research
Formulating the single machine sequencing problem with release dates as a mixed integer program
Discrete Applied Mathematics - Southampton conference on combinatorial optimization, April 1987
A time indexed formulation of non-preemptive single machine scheduling problems
Mathematical Programming: Series A and B
A branch and bound procedure to minimize mean absolute lateness on a single processor
Computers and Operations Research
An Implementation of Shor's r-Algorithm
Computational Optimization and Applications
Benchmarks for scheduling on a single machine against restrictive and unrestrictive common due dates
Computers and Operations Research
Constraint-Based Scheduling
A New Approach to Computing Optimal Schedules for the Job-Shop Scheduling Problem
Proceedings of the 5th International IPCO Conference on Integer Programming and Combinatorial Optimization
Time-Indexed Formulations for Machine Scheduling Problems: Column Generation
INFORMS Journal on Computing
INFORMS Journal on Computing
The One-Machine Problem with Earliness and Tardiness Penalties
Journal of Scheduling
Near-Optimal Solutions of Large-Scale Single-Machine Scheduling Problems
INFORMS Journal on Computing
Preemption in single machine earliness/tardiness scheduling
Journal of Scheduling
A faster branch-and-bound algorithm for the earliness-tardiness scheduling problem
Journal of Scheduling
An exact algorithm for single-machine scheduling without machine idle time
Journal of Scheduling
Fast neighborhood search for the single machine earliness-tardiness scheduling problem
Computers and Operations Research
An exact approach for scheduling jobs with regular step cost functions on a single machine
Computers and Operations Research
Computers and Operations Research
A linear programming-based method for job shop scheduling
Journal of Scheduling
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In one-machine scheduling, mixed-integer program time-indexed formulations are often used to provide very good lower bounds through Lagrangian relaxations. To get an improved lower bound, we add valid cuts to a time-indexed formulation and show we still have a Lagrangian relaxation that can be solved as a shortest path in a graph. Two branch-and-bound algorithms are then presented for the earliness-tardiness scheduling problem with either common or general due dates. In both cases, our algorithms outperform the previously published approaches.