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Single Machine Scheduling with Learning Effect Considerations
Authors:T.C. Edwin Cheng  Guoqing Wang
Affiliation:(1) Department of Management, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong;(2) Department of Management, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong and;(3) Department of Business Administration, Jinan University, Guangzhou, China
Abstract:In this paper we study a single machine scheduling problem in which the job processing times will decrease as a result of learning. A volume-dependent piecewise linear processing time function is used to model the learning effects. The objective is to minimize the maximum lateness. We first show that the problem is NP-hard in the strong sense and then identify two special cases which are polynomially solvable. We also propose two heuristics and analyse their worst-case performance.
Keywords:scheduling  sequencing  learning
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