Single machine scheduling with the total weighted late work and rejection cost

Author:

Sang Yao‐Wen1ORCID,Wang Jun‐Qiang23ORCID,Sterna Małgorzata4,Błażewicz Jacek45

Affiliation:

1. College of Economics and Management Nanjing University of Aeronautics and Astronautics Nanjing Jiangsu People's Republic of China

2. Performance Analysis Center of Production and Operations Systems (PacPos) Northwestern Polytechnical University Xi'an Shaanxi People's Republic of China

3. Department of Industrial Engineering, School of Mechanical Engineering Northwestern Polytechnical University Xi'an Shaanxi People's Republic of China

4. Institute of Computing Science Poznan University of Technology Poznan Poland

5. Institute of Bioorganic Chemistry Polish Academy of Sciences Poznan Poland

Abstract

AbstractWe study a single machine scheduling problem with the total weighted late work and the total rejection cost. The late work of a job is the part of this job executed after its due date, and the rejection cost of a job is the fee of rejecting to process it. We consider a Pareto scheduling and two restricted scheduling problems. The Pareto scheduling problem aims to find all non‐dominated values of the total weighted late work and the total rejection cost. The restricted scheduling problems are dedicated to minimizing the total weighted late work with the total rejection cost not greater than a given threshold, and minimizing the total rejection cost with the total weighted late work not greater than a given threshold, respectively. For the Pareto scheduling problem, we prove that it is binary NP‐hard by providing a pseudo‐polynomial time algorithm, and give a fully polynomial time approximation scheme (FPTAS). For the restricted scheduling problems, we prove that there are no FPTASes unless , which answers an open problem. Moreover, we develop relaxed FPTASes for these two restricted scheduling problems.

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Wiley

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