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Facing energy-aware scheduling: a multi-objective extension of a scheduling support system for improving energy efficiency in a moulding industry

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Abstract

Nowadays most industries do not integrate product, process and energy data. Costs due to energy consumption are often considered externalities and energy efficiency is not deemed a relevant performance criterion. In energy-intensive processes, as injection moulding, the specific energy consumption, embedded inside the same products, depends on the machine–product combinations. Multi-objective scheduling, including the energy data acquired from shop floor and allocation criteria, is a valuable approach to improve energy efficiency. This paper presents the extension of a commercial detailed scheduling support system developed within a regional Italian project aiming at providing tools to manufacturing industry for improving energy efficiency. The project designed a monitoring system developed by instrumenting injection moulding presses to acquire the energy consumption for each product–machine combination. The commercial scheduling system was extended by implementing a multi-objective metaheuristic scheduling approach. The experimental assessment of the proposed approach involved a major producer of plastic dispensers. The extended algorithm simultaneously optimizes the total weighted tardiness, the total setup and the energy consumption costs. The obtained results, produced for a real test case and a set of random generated instances, show the effectiveness of the proposed approach.

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Authors and Affiliations

  1. Department of Informatics, Bioengineering, Robotics, and Systems Engineering, University of Genova, Genova, Italy

    Massimo Paolucci & Davide Anghinolfi

  2. Department of Mechanical Engineering, Energy, Management and Transports, University of Genova, Genova, Italy

    Flavio Tonelli

Authors
  1. Massimo Paolucci
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  2. Davide Anghinolfi
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  3. Flavio Tonelli
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Corresponding author

Correspondence to Massimo Paolucci.

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Conflict of interest

M. Paolucci, D. Anghinolfi and F. Tonelli state that there are no conflicts of interest.

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Communicated by V. Loia.

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Paolucci, M., Anghinolfi, D. & Tonelli, F. Facing energy-aware scheduling: a multi-objective extension of a scheduling support system for improving energy efficiency in a moulding industry. Soft Comput 21, 3687–3698 (2017). https://doi.org/10.1007/s00500-015-1987-8

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  • DOI: https://doi.org/10.1007/s00500-015-1987-8

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