Single‐Machine Scheduling to Minimize the Size of Input Buffer

ABSTRACT This paper investigates a single‐machine scheduling problem with a finite‐capacity input buffer. In this problem, each job is assigned to the machine at its release date and started immediately or sent to the input buffer to wait for processing. The problem in this study is to find a schedule that minimizes the required size of the input buffer. Its strong NP‐hardness will be shown first, and next, a pseudo‐polynomial time dynamic program will be developed for another ordinary NP‐hard case. Three mixed integer linear programming models are presented using different formulation approaches. We also design four heuristic algorithms to produce approximate solutions in a reasonable time. Numerical experiments appraise the effectiveness of the formulations.

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Publication Details

Journal
Naval Research Logistics (NRL)
Published
2025-02-19
DOI
https://doi.org/10.1002/nav.22256
Citations
2
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
2.48
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article

Single‐Machine Scheduling to Minimize the Size of Input Buffer

Shunji Tanaka, Bertrand M.T. Lin
2 citations
Naval Research Logistics (NRL)
Scheduling and Optimization Algorithms
2.48
article

Single‐Machine Scheduling to Minimize the Size of Input Buffer

Shunji Tanaka, Bertrand M.T. Lin
article en
2 citations

Abstract

ABSTRACT This paper investigates a single‐machine scheduling problem with a finite‐capacity input buffer. In this problem, each job is assigned to the machine at its release date and started immediately or sent to the input buffer to wait for processing. The problem in this study is to find a schedule that minimizes the required size of the input buffer. Its strong NP‐hardness will be shown first, and next, a pseudo‐polynomial time dynamic program will be developed for another ordinary NP‐hard case. Three mixed integer linear programming models are presented using different formulation approaches. We also design four heuristic algorithms to produce approximate solutions in a reasonable time. Numerical experiments appraise the effectiveness of the formulations.

Naval Research Logistics (NRL)Vol. 72(6)
National Yang Ming Chiao Tung University (TW), Okayama University (JP), Arizona State University (US)
Decent work and economic growth
Openalex Percentile: Top 12%
Scheduling and Optimization Algorithms
2.48
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