Fuzzy analysis and evaluation of supply chain performance: a focus on leather products in Tanzania

In this study, a fuzzy comprehensive model is applied to evaluate the performance of supply chain for leather products in Tanzania. The evaluation procedure starts by identifying major criteria and sub‐criteria that influence the supply chain performance of leather products. These criteria and sub‐criteria are used by assessors to assign values that are used to generate each single factor evaluation set; which is used to compose the single factor evaluation matrix. The relative importance of each criterion in the weight set is obtained by fuzzy triangular number (FTN) method. Eventually, the weight set of influential factors (i.e., criteria) is multiplied by the single factor evaluation matrix to compose the fuzzy‐based comprehensive evaluation. The computational results show that the performance of the leather products supply chain (LPSC) in Tanzania is poor. Thus, the findings call for all stakeholders in the Tanzanian leather industry to take appropriate measures that would boost the supply chain performance. Moreover, the proposed model can be used to evaluate vague objectives in other industries.