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Energy Efficiency, Robustness, and Makespan Optimality in Job-Shop Scheduling Problems

  • M. A. Salido
  • J. Escamilla
  • F. Barber
  • A. GiretEmail author
  • D. B. Tang
  • M. Dai
Chapter

Abstract

Many real-world problems are known as planning and scheduling problems, where resources must be allocated so as to optimize overall performance objectives. The traditional scheduling models consider performance indicators such as processing time, cost, and quality as optimization objectives. However, most of them do not take into account energy consumption and robustness. We focus our attention in a job-shop scheduling problem where machines can work at different speeds. It represents an extension of the classical job-shop scheduling problem, where each operation has to be executed by one machine, and this machine can work at different speeds. The main goal of the paper is focused on the analysis of three important objectives: energy efficiency, robustness, and makespan, and the relationship among them. We present some analytical formulas to estimate the ratio/relationship between these parameters. It can be observed that there exist a clear relationship between robustness and energy efficiency and a clear trade-off between robustness/energy efficiency and makespan. It represents an advance in the state of the art of production scheduling, so obtaining energy-efficient solutions also supposes obtaining robust solutions, and vice versa.

Keywords

Job-shop scheduling Energy efficiency Robustness Makespan 

Notes

Acknowledgements

This research has been supported by the Spanish Government under research projects TIN2015-65515-C4-1-R and TIN2016-80856-R. This research was also supported by National Science Foundation of China (No. 51175262) and Jiangsu Province Industry-Academy-Research Grant (No. BY201220116).

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • M. A. Salido
    • 1
  • J. Escamilla
    • 1
  • F. Barber
    • 1
  • A. Giret
    • 2
    Email author
  • D. B. Tang
    • 3
  • M. Dai
    • 3
  1. 1.Instituto de Atuomática e Informática IndustrialUniversitat Politècnica de ValenciaValenciaSpain
  2. 2.Departamento de Sistemas Informáticos, ComputaciónUniversitat Politècnica de ValenciaValenciaSpain
  3. 3.College of Mechanical and Electrical EngineeringNanjing University of Aeronautics and AstronauticsNanjingChina

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