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A novel decision support system for the appraisal and selection of green warehouses

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  • Sandra, Michael
  • Narayanamoorthy, Samayan
  • Ferrara, Massimiliano
  • Innab, Nisreen
  • Ahmadian, Ali
  • Kang, Daekook

Abstract

Global warming is a prevalent issue across the world. In supply chains, warehouses contribute significantly to the increase in greenhouse gas emissions. Achieving carbon reduction within the warehouse is an issue that must be addressed in the design of a green warehouse. The objective of this research is to establish a hybrid fuzzy multi-criteria decision-making (F-MCDM) paradigm for assisting stakeholders within a supply chain to select a sustainable and green warehouse. A case study is presented to determine the essential criteria for choosing a prospective green warehouse for storing dairy products. Based on the decision-maker’s opinion, a total of six criteria are taken from the literature. Besides the criterion “cost”, all the other five criteria focused on reducing the environmental footprint. “Bio polyurethane flooring”, “polyvinylidene fluoride walls” and “electric forklift” ranked the top three green warehouse selection criteria. The sensitivity study also confirms this analysis and the system’s stability. Additionally, the comparative analysis with the existing MCDM models justifies the superiority, reliability, and feasibility of the proposed technique. Moreover, out of the four green warehouse alternatives, warehouse number two got the highest rank. This research thus proves that sustainable building materials and energy-efficient technologies can successfully reduce the environmental footprint caused by warehouses.

Suggested Citation

  • Sandra, Michael & Narayanamoorthy, Samayan & Ferrara, Massimiliano & Innab, Nisreen & Ahmadian, Ali & Kang, Daekook, 2024. "A novel decision support system for the appraisal and selection of green warehouses," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    • Handle: RePEc:eee:soceps:v:91:y:2024:i:c:s003801212300294x
    DOI: 10.1016/j.seps.2023.101782
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    References listed on IDEAS

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    1. Bertrand Mareschal & Jean Pierre Brans & Philippe Vincke, 1986. "How to select and how to rank projects: the Prométhée method," ULB Institutional Repository 2013/9307, ULB -- Universite Libre de Bruxelles.
    2. Bartolini, M. & Bottani, E. & Grosse, E. H., 2019. "Green warehousing: systematic literature review and bibliometric analysis," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 112369, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. Burak, Selmin & Samanlioglu, Funda & Ülker, Duygu, 2022. "Evaluation of irrigation methods in Söke Plain with HF-AHP-PROMETHEE II hybrid MCDM method," Agricultural Water Management, Elsevier, vol. 271(C).
    4. Manirathinam, Thangaraj & Narayanamoorthy, Samayan & Geetha, Selvaraj & Othman, Mohd Fairuz Iskandar & Alotaibi, Badr Saad & Ahmadian, Ali & Kang, Daekook, 2023. "Sustainable renewable energy system selection for self-sufficient households using integrated fermatean neutrosophic fuzzy stratified AHP-MARCOS approach," Renewable Energy, Elsevier, vol. 218(C).
    5. Jeon, Jeonghwan & Suvitha, Krishnan & Arshad, Noreen Izza & Kalaiselvan, Samayan & Narayanamoorthy, Samayan & Ferrara, Massimiliano & Ahmadian, Ali, 2023. "A probabilistic hesitant fuzzy MCDM approach to evaluate India’s intervention strategies against the COVID-19 pandemic," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    6. Boysen, Nils & de Koster, René & Weidinger, Felix, 2019. "Warehousing in the e-commerce era: A survey," European Journal of Operational Research, Elsevier, vol. 277(2), pages 396-411.
    7. Sotiropoulou, Kalliopi F. & Vavatsikos, Athanasios P., 2021. "Onshore wind farms GIS-Assisted suitability analysis using PROMETHEE II," Energy Policy, Elsevier, vol. 158(C).
    8. Yücenur, G. Nilay & Ipekçi, Ahmet, 2021. "SWARA/WASPAS methods for a marine current energy plant location selection problem," Renewable Energy, Elsevier, vol. 163(C), pages 1287-1298.
    9. Boysen, Nils & de Koster, René & Weidinger, Felix, 2019. "Warehousing in the e-commerce era: A survey," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 126185, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    10. Ghenai, Chaouki & Albawab, Mona & Bettayeb, Maamar, 2020. "Sustainability indicators for renewable energy systems using multi-criteria decision-making model and extended SWARA/ARAS hybrid method," Renewable Energy, Elsevier, vol. 146(C), pages 580-597.
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    1. Kara, Karahan & Yalçın, Galip Cihan & Simic, Vladimir & Baysal, Zeynep & Pamucar, Dragan, 2024. "The alternative ranking using two-step logarithmic normalization method for benchmarking the supply chain performance of countries," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).

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