Figure 1
A process flow diagram shows an integrated SF-AHP and TOPSIS methodology for use in this study.The process flow diagram is arranged vertically and horizontally, beginning at the top with three stacked rectangular boxes connected by downward arrows labeled “Assessing Supply Chain Reconfiguration and Dynamic Capabilities within an ESG Framework”, “Determining the criteria list and potential alternatives”, and “Defining the study methods (SF-AHP and TOPSIS)”. Below these, the diagram splits into two dashed rectangular sections placed side by side. On the left, a dashed box titled “Phase 1: SF-AHP Model” contains a vertical sequence of rectangles connected by downward arrows reading “Create the pairwise comparison matrix for the primary criteria with fuzzy numbers”, followed by “Verify for consistency”, and a decision branch labeled “Yes” and “No”. The “No” arrow connects upward to “Create the pairwise comparison matrix for the primary criteria with fuzzy numbers”, while the “Yes” arrow connects downward to “Determine the weights of the primary criteria”, then to “Create the pairwise comparison matrix for sub-criteria utilizing fuzzy numbers”, followed by “Verify for consistency” with another “Yes” and “No” branch. In this second decision point, the “No” arrow connects upward to “Create the pairwise comparison matrix for sub-criteria utilizing fuzzy numbers”, and the “Yes” arrow connects downward to “Calculate the fuzzy preference weight of criteria”. On the right, a dashed box titled “Phase 2: TOPSIS Model” contains a vertical sequence of rectangles connected by downward arrows labeled “Identify the fuzzy preference weight of each criterion”, “Normalize the aggregated decision matrix”, “Construct the weight normalized decision matrix”, “Determine the positive ideal and negative ideal solutions”, “Calculate the separation measures for each alternative”, “Calculate the relative closeness to the ideal solution”, and “Rankings of alternatives”. A bidirectional arrow connects both dashed boxes. An arrow from “Calculate the fuzzy preference weight of criteria” leads to “Identify the fuzzy preference weight of each criterion”. At the bottom center, a final rectangle labeled “Result discussions and conclusions” is connected by downward arrows from both dashed boxes.

Research framework

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