Some optimum algorithms for scheduling problems with changeover costs
Operations Research
A strong cutting plane algorithm for production scheduling with changeover costs
Operations Research
Minimizing the number of tardy job units under release time constraints
Discrete Applied Mathematics - Combinatorial Optimization
Lot-size scheduling of two types of jobs on identical machines
Discrete Applied Mathematics - Special volume: first international colloquium on graphs and optimization (GOI), 1992
Discrete Applied Mathematics
Uniform machine scheduling of unit-time jobs subject to resource constraints
Discrete Applied Mathematics
Heuristic algorithms for lotsize scheduling with application in the tobacco industry
Computers and Industrial Engineering
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Note on Parallel Machine Scheduling with Batch Setup Times
Operations Research
High Multiplicity in Earliness-Tardiness Scheduling
Operations Research
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We study the problem of scheduling unit time tasks of two types on m parallel identical machines. For each type, given numbers of tasks are required to be completed by the specified deadlines. These tasks leave the system at the deadlines. The in-process inventory capacities are given. The objective is to construct a schedule that minimizes the number of changeovers occurring between the tasks of different types. This problem arises, for instance, in the production of gear-boxes on transfer lines and in the tobacco industry. Pattloch and Schmidt [Discrete Appl. Math. 65 (1996) 409-419] give an O(mH) algorithm to solve this problem where H is the latest deadline. We present here a modification of that algorithm with O(K min{K, m}), time complexity where K is the number of deadlines.