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Journal of Intelligent Manufacturing

, Volume 28, Issue 7, pp 1519–1530 | Cite as

Resource scheduling based on energy consumption for sustainable manufacturing

  • Silviu RaileanuEmail author
  • Florin Anton
  • Alexandru Iatan
  • Theodor Borangiu
  • Silvia Anton
  • Octavian Morariu
Article

Abstract

The paper proposes an agent-based approach for measuring in real time energy consumption of resources in job-shop manufacturing processes. Data from industrial robots is collected, analysed and assigned to operation types, and then integrated in an optimization engine in order to estimate how alternating between makespan and energy consumption as objective functions affects the performances of the whole system. This study focuses on the optimization of energy consumption in manufacturing processes through operation scheduling on available resources. The decision making algorithm relies on a decentralized system collecting data about resources implementing thus an intelligent manufacturing control system; the optimization problem is implemented using IBM ILOG OPL.

Keywords

Intelligent manufacturing Scheduling Robotics  Agent-based approach 

Notes

Acknowledgments

This work is partially supported by the Sectoral Operational Program Human Resources Development (SOP HRD), financed from the European Social Fund and the Romanian Government under the contract number POSDRU/159/1.5/S/137390/ of the University Politehnica of Bucharest.

Compliance with ethical standards

Ethical statement

The corresponding author has the approval of all other listed authors for the submission and publication of all versions of the manuscript entitled: “Resource scheduling based on energy consumption for sustainable manufacturing”. All authors of the submission have made a significant independent contribution and that no one who justifies being an author has been omitted from authorship. The manuscript has not been submitted to more than one journal for simultaneous consideration. No data have been fabricated or manipulated (including images) to support your conclusions.

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • Silviu Raileanu
    • 1
    Email author
  • Florin Anton
    • 1
  • Alexandru Iatan
    • 2
  • Theodor Borangiu
    • 1
  • Silvia Anton
    • 1
  • Octavian Morariu
    • 1
  1. 1.Department of Automation and Applied InformaticsUniversity Politehnica of BucharestBucharestRomania
  2. 2.Department of Electrical EngineeringUniversity of Civil Engineering of BucharestBucharestRomania

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