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Simultaneous Customers and Supplier’s Prioritization: An AHP-Based Fuzzy Inference Decision Support System (AHP-FIDSS)

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Abstract

Traditionally in supply chain management suppliers and customers are evaluated independently. This is in spite of the fact that supplier performance has direct impact on the performance of the customer. This research develops a mechanism for simultaneous evaluation and prioritization of supplier and customer using the sustainability metrics comprising economic, environment and social measures. In order to quantify the qualitative factors, priority index is introduced to measure the prioritization of customers and suppliers simultaneously. To get the priority index for each customer and supplier, a novel analytical hierarchical process-based fuzzy inference decision support system (AHP-FIDSS) has been introduced. An AHP-FIDSS involves the factor screening, hierarchical structure modeling, quantification of qualitative factors, and their conversion to quantitative values. AHP-FIDSS is knowledge-based system involving expert’s decision alternatives or logical rules. The number of input variables and their levels are proportional to the number of logical rules and rule size. In order to reduce the numbers of rules, a Taguchi orthogonal array is used that reduces the numbers of rules, thereby substantially simplifying the evaluation process A case study of a supply chain of surgical instruments has been presented for the real-time application of the proposed model. The results exhibited the simultaneous classification of customers and suppliers with respect to their priority index. Higher value of priority index indicates higher importance and vice versa. This research is useful for the supply chain mangers in procurement, sales and production to develop an importance classification for customers and suppliers in a supply chain.

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Abbreviations

AHP:

Analytical hierarchical process

COA:

Center of area

FIDSS:

Fuzzy inference decision support system

FIS:

Fuzzy inference system

SSCM:

Sustainable supply chain management

ANP:

Analytical network process

TOPSIS:

Technique of Order Preference Similarity to the Ideal Solution

MCDM:

Multi-criteria decision-making

B :

Set of fuzzy numbers Y

a :

Parameter in triangular membership function with minimum value

m :

Parameter in triangular membership function with maximum value

S :

Input space for inputs to fuzzy inference system

H :

Outputs to fuzzy inference system

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Author information

Authors and Affiliations

  1. Department of Operations and Supply Chain, NUST Business School, National University of Science and Technology, Islamabad, 46000, Pakistan

    Muhammad Imran, Mujtaba Hassan Agha & Waqas Ahmed

  2. Department of Industrial Engineering, Yonsei University, 50 Yonsei-ro, Sinchon-dong, Seodaemun-gu, Seoul, 03722, South Korea

    Biswajit Sarkar

  3. Department of Garment Manufacturing, National Textile University, Faisalabad, 38000, Pakistan

    Muhammad Babar Ramzan

Authors
  1. Muhammad Imran
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  2. Mujtaba Hassan Agha
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  3. Waqas Ahmed
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  4. Biswajit Sarkar
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  5. Muhammad Babar Ramzan
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Corresponding author

Correspondence to Biswajit Sarkar.

Appendices

Appendix A

See Tables 22 and 23.

Table 22 Rules for environmental effects
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Table 23 Rules for social effects
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Appendix B

See Tables 24, 25 and 26.

Table 24 Economic benefit
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Table 25 Environmental impact
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Table 26 Social benefit
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Imran, M., Agha, M.H., Ahmed, W. et al. Simultaneous Customers and Supplier’s Prioritization: An AHP-Based Fuzzy Inference Decision Support System (AHP-FIDSS). Int. J. Fuzzy Syst. 22, 2625–2651 (2020). https://doi.org/10.1007/s40815-020-00977-9

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  • DOI: https://doi.org/10.1007/s40815-020-00977-9

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