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A Novel Hybrid Interval Rough SWARA–Interval Rough ARAS Model for Evaluation Strategies of Cleaner Production

Author

Listed:
  • Ilija Tanackov

    (Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovića 6, 21000 Novi Sad, Serbia)

  • Ibrahim Badi

    (Libyan Academy, Qasr Ahmed Street, Misurata 2449, Libya)

  • Željko Stević

    (Faculty of Transport and Traffic Engineering, University of East Sarajevo, Vojvode Mišića 52, 74000 Doboj, Bosnia and Herzegovina)

  • Dragan Pamučar

    (Department of Logistics, University of Defence, Belgrade, Pavla Jurišića Šturma 33, 11000 Belgrade, Serbia)

  • Edmundas Kazimieras Zavadskas

    (Institute of Sustainable Construction, Faculty of Civil Engineering, Vilnius Gediminas Technical University, Sauletekio al. 11, LT-10223 Vilnius, Lithuania)

  • Romualdas Bausys

    (Department of Graphical Systems, Vilnius Gediminas Technical University, Sauletekio al. 11, LT-10223 Vilnius, Lithuania)

Abstract

Cleaner production is certainly a challenge of our everyday life, and a lot of effort and energy is required to achieve it. This paper has created a model of five strategies for cleaner production in Libyan industry, which have been evaluated on the basis of eight criteria. In order to determine the significance of the criteria, a novel interval rough SWARA (step-wise weight assessment ratio analysis) method has been developed, which takes into account the preferences of decision-makers (DMs) by applying interval rough numbers. A novel interval rough ARAS (additive ratio assessment) method has been developed for the evaluation and selection of the most favorable strategy for cleaner production. The integration of the developed methods has yielded results showing that the first strategy, launching awareness-raising campaigns to publicize these policies, represents the most realistic and best current solution to achieve cleaner production in Libyan industry. A comparative analysis with some existing interval rough methodologies has been presented to verify the superiority of the proposed model. In addition, in a sensitivity analysis, the weight of the most significant criterion has been changed.

Suggested Citation

  • Ilija Tanackov & Ibrahim Badi & Željko Stević & Dragan Pamučar & Edmundas Kazimieras Zavadskas & Romualdas Bausys, 2022. "A Novel Hybrid Interval Rough SWARA–Interval Rough ARAS Model for Evaluation Strategies of Cleaner Production," Sustainability, MDPI, vol. 14(7), pages 1-21, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:7:p:4343-:d:788049
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    References listed on IDEAS

    as
    1. Waniss A. Otman & Erling Karlberg, 2007. "Libyan Environmental Law and Issues," Springer Books, in: The Libyan Economy, chapter 0, pages 353-375, Springer.
    2. Xiongyong Zhou & Zhiduan Xu, 2018. "An Integrated Sustainable Supplier Selection Approach Based on Hybrid Information Aggregation," Sustainability, MDPI, vol. 10(7), pages 1-49, July.
    3. Weizhang Liang & Suizhi Luo & Guoyan Zhao, 2018. "Evaluation of Cleaner Production for Gold Mines Employing a Hybrid Multi-Criteria Decision Making Approach," Sustainability, MDPI, vol. 11(1), pages 1-20, December.
    4. Waniss A. Otman & Erling Karlberg, 2007. "The Libyan Economy," Springer Books, Springer, number 978-3-540-46463-1, October.
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    2. Harshitha Urs Ajjipura Shankar & Udaya Kumara Kodipalya Nanjappa & M. D. Alsulami & Ballajja C. Prasannakumara, 2022. "A Fuzzy AHP-Fuzzy TOPSIS Urged Baseline Aid for Execution Amendment of an Online Food Delivery Affability," Mathematics, MDPI, vol. 10(16), pages 1-24, August.

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