Cross-Infection and Risk Prevention in Production Environment: A Multi-criteria Decision-making Approach

Authors

  • Daniel O. Aikhuele University of Port Harcourt. Nigeria
  • Isaac Aigbedion Ambrose Alli University, Ekpoma, Nigeria
  • Shahryar Sorooshian University of Gothenburg, Sweden

DOI:

https://doi.org/10.57233/ijsgs.v9i3.523

Keywords:

H-MCDM model, IF-TOPSIS, Risk Mitigation Actions, Manufacturing organization, COVID-19

Abstract

Manufacturing relies heavily on the physical presence of human resources, and disease outbreaks that force separation, such as: COVID-19, harm output. As a solution to the problem, this paper proposes a new Hybrid Multi-criteria Decision-making (H-MCDM) model based on the Intuitionistic Fuzzy Weighted Geometric (IFWG) operator, the Intuitionistic Fuzzy Hamacher Interactive Weighting Averaging (IFHIWA) operator, and the Intuitionistic Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (IF-TOPSIS) method for the evaluation, management, and prevention planning. In addition to the role that modeling played in solving the cross-infection problem, the results obtained from putting the model through its implementation show that the use of protective materials during manufacturing operations is the most suitable among the finite alternatives considered, when the safety of the workforce/workplace, cost of implementing risk-mitigating actions, virus transmission level, and ease of implementation are all taken into account. Thus, the proposed model has been validated through a feasibility test, so contributes to maintaining production and reducing cross-infections in workplaces while an epidemic is ongoing.

Author Biographies

Daniel O. Aikhuele, University of Port Harcourt. Nigeria

Department of Mechanical Engineering,

University of Port Harcourt. Nigeria

Isaac Aigbedion, Ambrose Alli University, Ekpoma, Nigeria

Department of Geophysics/Physic,

Ambrose Alli University, Ekpoma, Nigeria

Shahryar Sorooshian, University of Gothenburg, Sweden

Department of Business Administration, University of Gothenburg, Sweden

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Published

2023-10-31

How to Cite

Aikhuele, D. O. A., Aigbedion, I. ., & Sorooshian, S. . (2023). Cross-Infection and Risk Prevention in Production Environment: A Multi-criteria Decision-making Approach. International Journal of Science for Global Sustainability, 9(3), 1–13. https://doi.org/10.57233/ijsgs.v9i3.523