Abstract

This paper addresses the single-machine scheduling problems with simultaneous considerations of job rejection, deterioration effects, and deteriorating multimaintenance activities. A job is either rejected, in which case a rejection penalty has to be paid, or accepted and processed on the single machine. Three deterioration effect models are investigated, and it is assumed that each machine may be subject to several maintenance activities over the scheduling horizon, and the duration of the maintenance depends on its running time. Moreover, due to the restriction of the budget of maintenance, the upper bound of the total maintenance frequencies on the machine is assumed to be known in advance. The objective is to find jointly the optimal accepted job set, the optimal maintenance frequencies, the optimal maintenance positions, and the optimal accepted job sequence such that the cost function based on the total completion time and rejection penalty is minimized. It is shown that all the versions of the problem under study are polynomial time solutions.

Highlights

  • In classical deterministic scheduling models, the processing conditions, including the job processing times, are usually viewed as given constants

  • The objective is to find jointly the optimal accepted job set, the optimal maintenance frequencies, the optimal maintenance positions, and the optimal accepted job sequence such that the cost function based on the total completion time and rejection penalty is minimized

  • This leads to the study of scheduling models with variable job processing times

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Summary

Introduction

In classical deterministic scheduling models, the processing conditions, including the job processing times, are usually viewed as given constants. Mathematical Problems in Engineering for processing jobs Scheduling in such an environment is specified as scheduling with availability constraints and it has attracted many researchers. Shabtay et al [46] offer a very robust approach to scheduling with rejection by providing a bicriteria analysis of a large set of scheduling problems that can all be represented by (or reduced to) the same mathematical formulation In this problem, we investigate the scheduling problems with simultaneous considerations of rejected jobs, deterioration effects, and deteriorating multimaintenance activities which extends the problem considered in S. We conclude the paper and suggest some future research topics in the last section

Problem Definition
Optimal Solution for the Case Where There Is No Maintenance
Objective function
Conclusions
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