Two machine mixed shop scheduling problem with controllable machine speeds
Discrete Applied Mathematics - Discrete applied mathematics in Japan
A survey of results for sequencing problems with controllable processing times
Discrete Applied Mathematics - Southampton conference on combinatorial optimization, April 1987
Minimizing total tardiness on one machine is NP-hard
Mathematics of Operations Research
Two machine flow shop scheduling problem with no wait in process: controllable machine speeds
Discrete Applied Mathematics
Mathematics of Operations Research
Supply chain scheduling: Batching and delivery
Operations Research
Supply chain scheduling: sequence coordination
Discrete Applied Mathematics - Special issue: International symposium on combinatorial optimization CO'02
A survey of scheduling with controllable processing times
Discrete Applied Mathematics
Note: FPTAS for half-products minimization with scheduling applications
Discrete Applied Mathematics
Power-aware scheduling for makespan and flow
Journal of Scheduling
Optimal due date assignment and resource allocation in a group technology scheduling environment
Computers and Operations Research
Discrete Applied Mathematics
Scheduling a batching machine with convex resource consumption functions
Information Processing Letters
Scheduling with due date assignment under special conditions on job processing
Journal of Scheduling
Theoretical Analysis on Powers-of-Two Applied to JSP: A Case Study of Turbine Manufacturing
International Journal of Green Computing
Scheduling with compressible and stochastic release dates
Computers and Operations Research
Computers and Industrial Engineering
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This paper considers single machine scheduling problems in which the job processing times and/or their release dates are controllable. Possible changes to the controllable parameters are either individual or done by controlling the relevant processing or release rate. The objective is to minimize the sum of the makespan plus the cost for changing the parameters. For the problems of this type, we provide a number of polynomial-time algorithms and give a fairly complete complexity classification.