Multi-item Supplier Selection Model with Fuzzy Risk Analysis Studied by Possibility and Necessity Constraints

Patra, Kartik; Mondal, Shyamal Kumar

doi:10.1016/j.fiae.2015.11.004

Cited by 7 publications

(6 citation statements)

References 26 publications

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“…There are a large number of papers use multicriteria techniques for supplier selection, and recently some have appeared that consider risk within the selection criteria. In the literature review process, we considered the following works: (Nekooie, Sheikhalishahi, & Hosnavi, 2015), (Patra & Mondal, 2015), (Hosseininasab & Ahmadi, 2015), (Osorio, Garcia, Manotas, 2018) y (Alikhani et al, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

Supplier Selection Using Ahp and Topsis in Food Companies Considering Operational Risk

Hurtado¹,

Hurtado²,

Gómez³

et al. 2020

Proceedings of the International Symposium on the Analytic Hierarchy Process

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Section: Literature Reviewmentioning

confidence: 99%

Supplier Selection Using Ahp and Topsis in Food Companies Considering Operational Risk

Hurtado¹,

Hurtado²,

Gómez³

et al. 2020

Proceedings of the International Symposium on the Analytic Hierarchy Process

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“…There are a lot of studies that incorporate risk issue into their mathematical programming model for supplier selection [7][8][9]51,60]. Most of the studies incorporate risk by adding a risk-based goal and one or a few variables that represent suppliers' risk attributes.…”

Section: Supply Risk Issue In Supplier Evaluation and Selectionmentioning

confidence: 99%

“…The results showed that supplier reliability is a key parameter for supplier selection. Patra and Mondal [8] developed three different supplier selection models in crisp and fuzzy environments by considering two objective functions: profit maximization and risk minimization. They also applied a sensitivity analysis to investigate the effect of different risk values on the objective function.…”

Section: Supply Risk Issue In Supplier Evaluation and Selectionmentioning

confidence: 99%

“…Nowadays, supplier selection problem incorporates approaches from different disciplines and goes beyond traditional cost minimization and profit maximization objectives [3][4][5]. Especially a growing number of researchers started to incorporate risk minimization objective into this problem [6][7][8][9]. Supplier-related risks are among the most frequently discussed risks in the supply chain (SC) literature [10,11].…”

Section: Introductionmentioning

confidence: 99%

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Supplier Risk Assessment Based on Best-Worst Method and K-Means Clustering: A Case Study

Kara¹,

Fırat²

2018

Sustainability

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Supplier evaluation and selection is one of the most critical strategic decisions for developing a competitive and sustainable organization. Companies have to consider supplier related risks and threats in their purchasing decisions. In today's competitive and risky business environment, it is very important to work with reliable suppliers. This study proposes a clustering based approach to group suppliers based on their risk profile. Suppliers of a company in the heavy-machinery sector are assessed based on 17 qualitative and quantitative risk types. The weights of the criteria are determined by using the Best-Worst method. Four factors are extracted by applying Factor Analysis to the supplier risk data. Then k-means clustering algorithm is applied to group core suppliers of the company based on the four risk factors. Three clusters are created with different risk exposure levels. The interpretation of the results provides insights for risk management actions and supplier development programs to mitigate supplier risk.

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“…Hajipour et al [22,23] presented Paretobased meta-heuristic approaches, including NSGA-II and non-dominated ranking genetic algorithm, to solve multi-objective facility location-allocation model. Patra and Kumar [24] proposed a bi-objective multiitem supplier selection problem to optimize objective functions: pro t and risk. Orji and Wei [25] proposed a new modeling integrated approach to supplier behavior in the fuzzy environment with system dynamics simulation modeling technique leading to a more reliable decision support system.…”

Section: Related Workmentioning

confidence: 99%

A fuzzy multi-objective multi-product supplier selection and order allocation problem in supply chain under coverage and price considerations: An urban agricultural case study

2017

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KEYWORDSMulti-objective supplier selection problem; Coverage; Fuzzy logic; MOPSO; NSGA-II.Abstract. In this paper, a fuzzy multi-objective model is presented to select and allocate order to the suppliers in uncertain conditions, considering multi-period, multisource, and multi-product cases at two levels of a supply chain with pricing considerations. Objective functions considered in this study as the measures to evaluate the suppliers are the purchase, transportation, ordering costs, and timely delivering (or deference shipment quality, or wastages) which are amongst major quality aspects. Partial and general coverage of suppliers with respect to distance and nally suppliers' weights makes the amounts of product orders more realistic. Deference and coverage parameters in the model are considered as uncertain and random triangular fuzzy number. Since the proposed mathematical model is NP-hard, Multi-Objective Particle Swarm Optimization (MOPSO) algorithm is presented. To validate the performance of MOPSO, we applied non-dominated Sorting Genetic Algorithm (NSGA-II). Taguchi technique is executed to tune the parameters of both algorithms. A practical case study in an agricultural industry is shown to demonstrate that the proposed algorithm can be applied to the real-world problems. The results are analyzed using quantitative criteria, performing parametric, and non-parametric statistical analyses.

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Multi-item Supplier Selection Model with Fuzzy Risk Analysis Studied by Possibility and Necessity Constraints

Cited by 7 publications

References 26 publications

Supplier Selection Using Ahp and Topsis in Food Companies Considering Operational Risk

Supplier Selection Using Ahp and Topsis in Food Companies Considering Operational Risk

Supplier Risk Assessment Based on Best-Worst Method and K-Means Clustering: A Case Study

A fuzzy multi-objective multi-product supplier selection and order allocation problem in supply chain under coverage and price considerations: An urban agricultural case study

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