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Decision-Tree Based Methodology Aid in Assessing the Sustainable Development of a Manufacturing Company

Author

Listed:
  • Justyna Patalas-Maliszewska

    (Institute of Mechanical Engineering, University of Zielona Góra, 65-417 Zielona Góra, Poland)

  • Hanna Łosyk

    (Institute of Mechanical Engineering, University of Zielona Góra, 65-417 Zielona Góra, Poland)

  • Matthias Rehm

    (Professorship Production Systems and Processes, Chemnitz University of Technology, D-09107 Chemnitz, Germany)

Abstract

Nowadays, achieving the objectives of sustainable development (SD) within a manufacturing company, through introducing and integrating sustainability into a development strategy, is a key parameter in gaining a competitive advantage in the market. The objective of this study was to develop a decision-tree based methodology to facilitate SD assessment in a manufacturing company, which consists of five main components: (1) Determination of SD indicators based on literature analysis, (2) Using the Analytic Hierarchy Process (AHP) method which determines the priority of the SD criteria, (3) Collecting data to determine the values of the key objectives SD, (4) Using a decision tree to build scenarios of possible actions to increase the level of SD, (5) Indicating recommended actions for continuous monitoring of progress towards reaching SD objectives. In the proposed approach, the use of the AHP method allowed for indicating the most important SD indicators, which made it possible to limit the number of queries to manufacturers on data from real companies regarding the values of SD indicators. Finally, the methodology was applied and verified within a real manufacturing company in order to assist the Management Board in making projections about future actions regarding an increase in SD level.

Suggested Citation

  • Justyna Patalas-Maliszewska & Hanna Łosyk & Matthias Rehm, 2022. "Decision-Tree Based Methodology Aid in Assessing the Sustainable Development of a Manufacturing Company," Sustainability, MDPI, vol. 14(10), pages 1-17, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:10:p:6362-:d:822064
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    References listed on IDEAS

    as
    1. Vikas Swarnakar & Amit Raj Singh & Jiju Antony & Raja Jayaraman & Anil Kr Tiwari & Rajeev Rathi & Elizabeth Cudney, 2022. "Prioritizing Indicators for Sustainability Assessment in Manufacturing Process: An Integrated Approach," Sustainability, MDPI, vol. 14(6), pages 1-24, March.
    2. Ali Keyvanfar & M. Salim Ferwati & Arezou Shafaghat & Hasanuddin Lamit, 2018. "A Path Walkability Assessment Index Model for Evaluating and Facilitating Retail Walking Using Decision-Tree-Making (DTM) Method," Sustainability, MDPI, vol. 10(4), pages 1-33, March.
    3. Justyna Patalas-Maliszewska & Hanna Łosyk, 2020. "An Approach to Assessing Sustainability in the Development of a Manufacturing Company," Sustainability, MDPI, vol. 12(21), pages 1-18, October.
    4. Małgorzata Jasiulewicz-Kaczmarek & Patryk Żywica & Arkadiusz Gola, 2021. "Fuzzy set theory driven maintenance sustainability performance assessment model: a multiple criteria approach," Journal of Intelligent Manufacturing, Springer, vol. 32(5), pages 1497-1515, June.
    5. Hail Jung & Jinsu Jeon & Dahui Choi & Jung-Ywn Park, 2021. "Application of Machine Learning Techniques in Injection Molding Quality Prediction: Implications on Sustainable Manufacturing Industry," Sustainability, MDPI, vol. 13(8), pages 1-16, April.
    6. Erol, Ismail & Sencer, Safiye & Sari, Ramazan, 2011. "A new fuzzy multi-criteria framework for measuring sustainability performance of a supply chain," Ecological Economics, Elsevier, vol. 70(6), pages 1088-1100, April.
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