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A Mathematical Programming Approach to the Optimal Sustainable Product Mix for the Process Industry

Author

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  • Noha M. Galal

    (Department of Industrial and Management Engineering, College of Engineering and Technology, Arab Academy for Science, Technology, and Maritime Transport (AASTMT), AbuKir Campus, Alexandria 1029, Egypt)

  • Ahmed F. Abdul Moneim

    (Department of Industrial and Management Engineering, College of Engineering and Technology, Arab Academy for Science, Technology, and Maritime Transport (AASTMT), AbuKir Campus, Alexandria 1029, Egypt)

Abstract

The increasing concerns about the environment and the depletion of natural resources are the main drivers for the growing interest in sustainability. Manufacturing operations are frequently considered to have an adverse effect on the environment. Hence, the sustainable operation of manufacturing facilities is a vital practice to ensure sustainability. The aim of this paper is to find the optimum product mix of a manufacturing facility to maximize its sustainability. A mixed integer non-linear programming model is developed to specify the product mix in order to maximize a proposed sustainability index (SI) of a manufacturing facility. The sustainability index comprises the economic, environmental and social pillars of sustainability in a weighted form using the analytic hierarchy process (AHP). The model results allow the identification of the prospective improvements of manufacturing sustainability.

Suggested Citation

  • Noha M. Galal & Ahmed F. Abdul Moneim, 2015. "A Mathematical Programming Approach to the Optimal Sustainable Product Mix for the Process Industry," Sustainability, MDPI, vol. 7(10), pages 1-19, September.
  • Handle: RePEc:gam:jsusta:v:7:y:2015:i:10:p:13085-13103:d:56382
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    References listed on IDEAS

    as
    1. Marc A. Rosen & Hossam A. Kishawy, 2012. "Sustainable Manufacturing and Design: Concepts, Practices and Needs," Sustainability, MDPI, vol. 4(2), pages 1-21, January.
    2. Zhuming Bi, 2011. "Revisiting System Paradigms from the Viewpoint of Manufacturing Sustainability," Sustainability, MDPI, vol. 3(9), pages 1-18, August.
    3. Letmathe, Peter & Balakrishnan, Nagraj, 2005. "Environmental considerations on the optimal product mix," European Journal of Operational Research, Elsevier, vol. 167(2), pages 398-412, December.
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    Cited by:

    1. Toly Chen, 2016. "Competitive and Sustainable Manufacturing in the Age of Globalization," Sustainability, MDPI, vol. 9(1), pages 1-5, December.
    2. Aleksey I. Shinkevich & Irina G. Ershova & Farida F. Galimulina & Alla A. Yarlychenko, 2021. "Innovative Mesosystems Algorithm for Sustainable Development Priority Areas Identification in Industry Based on Decision Trees Construction," Mathematics, MDPI, vol. 9(23), pages 1-18, November.
    3. Athar Ajaz Khan & János Abonyi, 2022. "Simulation of Sustainable Manufacturing Solutions: Tools for Enabling Circular Economy," Sustainability, MDPI, vol. 14(15), pages 1-40, August.
    4. Ebru Saygili & Elif Uye Akcan & Yucel Ozturkoglu, 2023. "An Exploratory Analysis of Sustainability Indicators in Turkish Small- and Medium-Sized Industrial Enterprises," Sustainability, MDPI, vol. 15(3), pages 1-21, January.
    5. Carlos Galera-Zarco & José Antonio Campos, 2021. "Exploring Servitization in Industrial Construction: A Sustainable Approach," Sustainability, MDPI, vol. 13(14), pages 1-19, July.
    6. Anderson Hoose & Víctor Yepes & Moacir Kripka, 2021. "Selection of Production Mix in the Agricultural Machinery Industry Considering Sustainability in Decision Making," Sustainability, MDPI, vol. 13(16), pages 1-14, August.
    7. Xilin Zhang & Yuejin Tan & Zhiwei Yang, 2018. "Rework Quantification and Influence of Rework on Duration and Cost of Equipment Development Task," Sustainability, MDPI, vol. 10(10), pages 1-16, October.
    8. Azemeraw Tadesse Mengistu & Roberto Panizzolo, 2023. "Analysis of indicators used for measuring industrial sustainability: a systematic review," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(3), pages 1979-2005, March.
    9. Zhexuan Zhou & Yajie Dou & Jianbin Sun & Jiang Jiang & Yuejin Tan, 2017. "Sustainable Production Line Evaluation Based on Evidential Reasoning," Sustainability, MDPI, vol. 9(10), pages 1-14, October.
    10. Shib Sankar Sana, 2022. "A structural mathematical model on two echelon supply chain system," Annals of Operations Research, Springer, vol. 315(2), pages 1997-2025, August.

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