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A Novel Integrated Interval Rough MCDM Model for Ranking and Selection of Asphalt Production Plants

Author

Listed:
  • Bojan Matić

    (Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovića 6, 21 000 Novi Sad, Serbia)

  • Stanislav Jovanović

    (Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovića 6, 21 000 Novi Sad, Serbia)

  • Milan Marinković

    (Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovića 6, 21 000 Novi Sad, Serbia)

  • Siniša Sremac

    (Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovića 6, 21 000 Novi Sad, Serbia)

  • Dillip Kumar Das

    (Civil Engineering, Sustainable Transportation Research Group, School of Engineering, University of Kwazulu Natal, 238 Mazisi Kunene Rd, Glenwood, Durban 4041, South Africa)

  • Željko Stević

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

Abstract

Asphalt production plants play an important role in the field of civil engineering, but also in the entire economic system since the construction of roads enables uninterrupted functioning within it. In this paper, the ranking of asphalt production plants on the territory of the Autonomous Province of Vojvodina has been performed. The modern economy needs contemporary models and methods to solve complicated MCDM problems and, for these purposes, it has been developed an original Interval Rough Number (IRN) Multi-criteria decision-making (MCDM) model that implies an extension of two methods belonging to the field with interval rough numbers. After forming a list of eight most significant criteria for assessing the efficiency of asphalt production plants, the Interval Rough Number PIvot Pairwise RElative Criteria Importance Assessment (IRN PIPRECIA) method was developed to determine the significance of the criteria. A total of 21 locations with asphalt mixture installation were considered. For that purpose, seven asphalt production plants were included, and for their ranking, the IRN EDAS (Evaluation based on Distance from Average Solution) method was created. The aim of this paper is to develop a novel interval rough model that can be useful for determining the efficiency of asphalt production plants. Averaging in group decision-making (GDM) for both methods was performed using an IRN Dombi weighted geometric averaging (IRNDWGA) aggregator. The obtained results show that (A15) Ruma (SP)–Mačvanska Mitrovica–Zasavica has the best characteristics out of the set of locations considered in this study. However, Alternatives A6 and A19 are also variants with remarkably good characteristics since there is very little difference in values compared to the first-ranked alternative. Also, the obtained results have shown that the developed model is applicable, which is proven through a comparative analysis.

Suggested Citation

  • Bojan Matić & Stanislav Jovanović & Milan Marinković & Siniša Sremac & Dillip Kumar Das & Željko Stević, 2021. "A Novel Integrated Interval Rough MCDM Model for Ranking and Selection of Asphalt Production Plants," Mathematics, MDPI, vol. 9(3), pages 1-20, January.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:3:p:269-:d:489356
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    References listed on IDEAS

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    1. Srđan Dimić & Dragan Pamučar & Srđan Ljubojević & Boban Đorović, 2016. "Strategic Transport Management Models—The Case Study of an Oil Industry," Sustainability, MDPI, vol. 8(9), pages 1-27, September.
    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. Dragisa STANUJKIC & Edmundas Kazimieras ZAVADSKAS & Darjan KARABASEVIC & Florentin SMARANDACHE & Zenonas TURSKIS, 2017. "The Use Of The Pivot Pairwise Relative Criteria Importance Assessment Method For Determining The Weights Of Criteria," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 116-133, December.
    4. Giuseppe Sollazzo & Sonia Longo & Maurizio Cellura & Clara Celauro, 2020. "Impact Analysis Using Life Cycle Assessment of Asphalt Production from Primary Data," Sustainability, MDPI, vol. 12(24), pages 1-21, December.
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    Cited by:

    1. Donghun Lee, 2022. "Knowledge Gradient: Capturing Value of Information in Iterative Decisions under Uncertainty," Mathematics, MDPI, vol. 10(23), pages 1-20, November.

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