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Decision-Making Approach in Sustainability Assessment in Steel Manufacturing Companies—Systematic Literature Review

Author

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  • Radosław Depczyński

    (Doctoral School, Institute of Management, University of Szczecin, 71-004 Szczecin, Poland)

  • Jim Secka

    (Doctoral School, Institute of Management, University of Szczecin, 71-004 Szczecin, Poland)

  • Katarzyna Cheba

    (Faculty of Economics, Department of Applied Mathematics in Economy, West Pomeranian University of Technology, 70-310 Szczecin, Poland)

  • Carlotta D’Alessandro

    (Department of Economics, University of Messina, 98121 Messina, Italy)

  • Katarzyna Szopik-Depczyńska

    (Institute of Management, University of Szczecin, 71-004 Szczecin, Poland)

Abstract

Sustainability is understood as a balanced integration of economic, ecological, and social aspects. Sustainable manufacturing can be considered one of the most important issues to address in the pursuit of sustainable development. The main purpose of the paper is to identify the most important directions of research to date and to indicate new and emerging areas of research concerned with the usage of decision-making methods in sustainability assessment in steel manufacturing companies. A systematic review was based on the publications indexed in the Web of Science and Scopus databases. In the analysis, the correspondence analysis and log-linear model were applied. To sum up, this study examines decision-making modalities and sustainable performance in terms of approaches that influence sustainability in steel manufacturing. Firstly, the study determined key decision-making aspects, such as the appropriate material identification for the manufacturing process and material labeling for the manufacturing process, which is essential for sustainable metal products. Secondly, the identification of sustainability indicators is considered vital in the hierarchical process as their integration is essential for the decision-making process and its outcome. Furthermore, system efficiency and productivity, alongside increasing attention to environmental protection, have led to significant changes in all production systems. In addition, many factors play an important role in the selection of suppliers, such as increasing the importance of the environment, increasing the recycling rate of the products, and ensuring sustainability performance. However, companies in the steel manufacturing industry rely little on the application of decision-making to assess sustainability.

Suggested Citation

  • Radosław Depczyński & Jim Secka & Katarzyna Cheba & Carlotta D’Alessandro & Katarzyna Szopik-Depczyńska, 2023. "Decision-Making Approach in Sustainability Assessment in Steel Manufacturing Companies—Systematic Literature Review," Sustainability, MDPI, vol. 15(15), pages 1-15, July.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:11614-:d:1204029
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    References listed on IDEAS

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    1. Yusuke Kitamura & Selim Karkour & Yuki Ichisugi & Norihiro Itsubo, 2020. "Evaluation of the Economic, Environmental, and Social Impacts of the COVID-19 Pandemic on the Japanese Tourism Industry," Sustainability, MDPI, vol. 12(24), pages 1-22, December.
    2. Yun-Ning Liu & Hsin-Hung Wu, 2022. "An Inner Dependence Analysis Dynamic Decision-Making Framework," Sustainability, MDPI, vol. 14(10), pages 1-13, May.
    3. Isaac, Morna & van Vuuren, Detlef P., 2009. "Modeling global residential sector energy demand for heating and air conditioning in the context of climate change," Energy Policy, Elsevier, vol. 37(2), pages 507-521, February.
    4. Aqib Mashood Khan & Muhammad Jamil & Konstantinos Salonitis & Shoaib Sarfraz & Wei Zhao & Ning He & Mozammel Mia & GuoLong Zhao, 2019. "Multi-Objective Optimization of Energy Consumption and Surface Quality in Nanofluid SQCL Assisted Face Milling," Energies, MDPI, vol. 12(4), pages 1-22, February.
    5. Thi-Ly Nguyen & Phi-Hung Nguyen & Hong-Anh Pham & Thi-Giang Nguyen & Duc-Thinh Nguyen & Thi-Hoai Tran & Hong-Cham Le & Huong-Thuy Phung, 2022. "A Novel Integrating Data Envelopment Analysis and Spherical Fuzzy MCDM Approach for Sustainable Supplier Selection in Steel Industry," Mathematics, MDPI, vol. 10(11), pages 1-28, June.
    6. Ahmed Mohammed & Morteza Yazdani & Amar Oukil & Ernesto D. R. Santibanez Gonzalez, 2021. "A Hybrid MCDM Approach towards Resilient Sourcing," Sustainability, MDPI, vol. 13(5), pages 1-30, March.
    7. Ibn-Mohammed, T. & Koh, S.C.L. & Reaney, I.M. & Acquaye, A. & Schileo, G. & Mustapha, K.B. & Greenough, R., 2017. "Perovskite solar cells: An integrated hybrid lifecycle assessment and review in comparison with other photovoltaic technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1321-1344.
    8. Gu, Wei & Wang, Chen & Dai, Shufen & Wei, Lirong & Chiang, I. Robert, 2021. "Optimal strategies for reverse logistics network construction: A multi-criteria decision method for Chinese iron and steel industry," Resources Policy, Elsevier, vol. 74(C).
    9. Magdalena Ziolo & Beata Zofia Filipiak & Iwona Bąk & Katarzyna Cheba, 2019. "How to Design More Sustainable Financial Systems: The Roles of Environmental, Social, and Governance Factors in the Decision-Making Process," Sustainability, MDPI, vol. 11(20), pages 1-34, October.
    10. Yongrok Choi & Yanni Yu & Hyoung Seok Lee, 2018. "A Study on the Sustainable Performance of the Steel Industry in Korea Based on SBM-DEA," Sustainability, MDPI, vol. 10(1), pages 1-15, January.
    11. Amin Vafadarnikjoo & Marco Scherz, 2021. "A Hybrid Neutrosophic-Grey Analytic Hierarchy Process Method: Decision-Making Modelling in Uncertain Environments," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-18, June.
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