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.

Bait, S., Lauria, S.m., Schiraldi, M.m. (2021). Multi-criteria decision-making model for supporting manufacturing settlements location in Africa after COVID-19. INTERNATIONAL JOURNAL OF ENGINEERING BUSINESS MANAGEMENT, 13, 1-15 [10.1177/18479790211023348].

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

Schiraldi M. M.
2021-06-16

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.
16-giu-2021
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore ING-IND/17 - IMPIANTI INDUSTRIALI MECCANICI
Settore ING-IND/35 - INGEGNERIA ECONOMICO-GESTIONALE
English
AHP
COVID-19 impact
manufacturing development
MNEs investment
multi-criteria decision making
Plant location
TOPSIS
https://journals.sagepub.com/doi/full/10.1177/18479790211023348
Bait, S., Lauria, S.m., Schiraldi, M.m. (2021). Multi-criteria decision-making model for supporting manufacturing settlements location in Africa after COVID-19. INTERNATIONAL JOURNAL OF ENGINEERING BUSINESS MANAGEMENT, 13, 1-15 [10.1177/18479790211023348].
Bait, S; Lauria, Sm; Schiraldi, Mm
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/283914
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