Multi-criteria decision-making model for supporting manufacturing settlements location in Africa after COVID-19

Abstract

The COVID-19 emergency is affecting manufacturing industries all over the world. Notably, it has generated several issues in the products’ supply and the global value chain in African countries. Besides this, Africa’s manufacturing value-added rate grew only 1.5 since 2018, and the foreign direct investment (FDI) from multinational enterprises (MNEs) remains very low due to high-risk factors. Most of these factors are linked to a non-optimized location selection that can adversely affect plant performance. For these reasons, supporting decision-makers in selecting the suitable country location in Africa is crucial, both for contributing to countries’ growth and companies’ performance. This research aims at presenting a comprehensive multi-criteria decision-making model (MCDM) to be used by MNEs to evaluate the best countries to develop new manufacturing settlements, highlighting the criteria that COVID-19 has impacted. Thus, it has affected countries’ performance, impacting the plant location selection choices. A combination of the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods have also been used for comparative analysis. The criteria used in the proposed approach have been validated with a panel of MNEs experts.

Is there a theory of supply chain resilience? A bibliometric analysis of the literature

“…Lastly, Cluster 4 also focuses on the definition of the SCRES model – but not as much on mitigating the effects of disruptions as on transforming the model into a new, more sustainable state through decision making (e.g. Bait et al. , 2021; Sarkis, 2020).…”

“…Lastly, Cluster 4 also focuses on the definition of the SCRES modelbut not as much on mitigating the effects of disruptions as on transforming the model into a new, more sustainable state through decision making (e.g. Bait et al, 2021;Sarkis, 2020). In focusing the analysis on the keywords used, an important detail is that although most of the research output has been produced since the outbreak of the pandemic, the word COVID or pandemic is not among the most used terms.…”

Adapting Urban Transport Planning to the COVID-19 Pandemic: An Integrated Fermatean Fuzzy Model

“… Author(s) and year Research focus GDM Parameter type SA CA Method(s) Country (Main) criteria Sub-criteria Alt. Belhadi et al (2020) Adapting waste management Yes IVF Yes No LCA, LCC, AHP, VIKOR Morocco 4 17 5, 5 Biswas and Das (2020) SC barrier evaluation Yes Fuzzy No No AHP India 5 − − Kaya (2020) Development impact assessment Yes Deterministic Yes Yes MAIRCA OECD 8 − 33 Ocampo and Yamagishi (2020) Lockdown protocol evaluation Yes IF No No DEMATEL Philippines 13 − − Ali Shah et al (2021) Adapting waste management Yes Fuzzy No No DEMATEL, ANP, VIKOR Pakistan 3 9 7 Bait et al (2021) Locating indicator evaluation Yes Deterministic No No AHP, TOPSIS Ghana 7 34 − Deng and Kong (2021) Rescue scheme selection Yes IVIF No No TOPSIS …”

“… Ali Shah et al (2021) prioritized thermal, thermochemical, and biochemical waste-to-energy treatment options to accelerate sustainable development in the post-COVID-19 world. Bait et al (2021) assessed criteria for locating manufacturing plants for the textile industry based on the COVID-19 impact. Deng and Kong (2021) explored the humanitarian rescue process and evaluated emergency plans under multiple criteria.…”

Fuzzy Techniques and Adjusted Mixture Design-Based Scenario Analysis in the CLMV (Cambodia, Lao PDR, Myanmar and Vietnam) Subregion for Multi-Criteria Decision Making in the Apparel Industry

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