Extended Multicriteria Group Decision Making with a Novel Aggregation Operator for Emergency Material Supplier...

Area of Science:

• Operations Research
• Supply Chain Management
• Decision Science

Background:

• Ensuring industrial production continuity in uncertain emergency environments is a significant societal concern.
• Multicriteria group decision-making (MCGDM) is vital for selecting emergency material suppliers.
• Existing MCGDM methods often overlook the impact of decision-maker (DM) order in emergency contexts.

Purpose of the Study:

• To propose an extended MCGDM method that incorporates the influence of DM decision order.
• To enhance the accuracy and efficiency of supplier selection in emergency environments.
• To address the research gap concerning DM order in emergency-based MCGDM.

Main Methods:

• Decision-makers (DMs) assess all supplier alternatives.
• Analytic Hierarchy Process (AHP) and entropy weight method are used to determine criteria and DM weights.
• A proposed intuitionistic fuzzy hybrid priority weight average (IFHPWA) operator aggregates evaluations, followed by TOPSIS for ranking.

Main Results:

• The developed method effectively ranks emergency material suppliers.
• The practicability and effectiveness of the proposed method were demonstrated through a case study.
• The inclusion of DM decision order significantly improves decision-making outcomes.

Conclusions:

• The proposed extended MCGDM method offers a more accurate and efficient approach to selecting emergency material suppliers.
• Considering DM order is critical for robust decision-making in uncertain emergency environments.
• This research contributes a novel methodology for supply chain resilience in crisis situations.