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Order Acceptance Scheduling on a Single Machine with Energy Aspects

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Intelligent and Fuzzy Techniques: Smart and Innovative Solutions (INFUS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1197))

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Abstract

Order Acceptance Scheduling (OAS) is a two-fold decision problem that consists in the sequencing of a subset of selected orders with the objective of maximizing the total profit. In recent years, emphasis focused on the reduction of energy consumption and carbon emissions. Optimizing production schedules is a promising lever for this purpose. In this context, we provide a mathematical formulation for the OAS problem under energy aspects. To assess the performance of our model, a comparative analysis is conducted. Our results clearly point out that the arc-time-indexed model is better than the disjunctive one.

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Author information

Authors and Affiliations

  1. ICD, LOSI, Université de technologie de Troyes, 12 Rue Marie Curie CS 42060, 10004, Troyes, France

    Mariam Bouzid, Oussama Masmoudi & Alice Yalaoui

Authors
  1. Mariam Bouzid
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  2. Oussama Masmoudi
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  3. Alice Yalaoui
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Corresponding author

Correspondence to Mariam Bouzid .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman

  2. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Sezi Cevik Onar

  3. Department of Industrial Engineering, Istanbul Technical University, İstanbul, Turkey

    Basar Oztaysi

  4. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Irem Ucal Sari

  5. Industrial Engineering Department, Yildiz Technical University, Istanbul, Turkey

    Selcuk Cebi

  6. Industrial Engineering Department, Galatasaray University, Istanbul, Turkey

    A. Cagri Tolga

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

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Bouzid, M., Masmoudi, O., Yalaoui, A. (2021). Order Acceptance Scheduling on a Single Machine with Energy Aspects. In: Kahraman, C., Cevik Onar, S., Oztaysi, B., Sari, I., Cebi, S., Tolga, A. (eds) Intelligent and Fuzzy Techniques: Smart and Innovative Solutions. INFUS 2020. Advances in Intelligent Systems and Computing, vol 1197. Springer, Cham. https://doi.org/10.1007/978-3-030-51156-2_183

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