A fuzzy multi-objective programming model for supplier selection with volume discount and risk criteria

Aghai, Shima; Mollaverdi, Naser; Sabbagh, Mohammad S.

doi:10.1007/s00170-013-5562-0

Cited by 13 publications

(12 citation statements)

References 14 publications

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“…To summarize, the supplier selection is one of the most important tasks for organizations since results of the final decision affect profitability, position and market share of the company (Aghai et al, 2014;Cheraghi et al, 2011;Kasirian & Yusuff, 2013;Lee, 2009;Lin, 2012;Xiao et al, 2012). Even though there are voluminous work about this subject in the literature it is still a problematic area as many conflicting subjective criteria and numerous candidates are involved in the selection.…”

Section: Discussionmentioning

confidence: 99%

Determining Strategy Based Supplier Pre-Qualification Criteria With Fuzzy Relational Maps

Petriçli¹,

Emel²

2016

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Supplier Selection is one of the most studied areas in management and decision sciences. However, it is still a highly problematic subject since decision-makers take an educated guess after a certain stage in real life practices. In order to overcome the problems, decision makers should focus their attention on the first stage of the selection process, criteria determination, as the quality of the selection phase heavily depends on the first stage. Additionally, strategic fitness in supplier selection is also not much considered in the literature and real life practices. However, looking for conformity of supplying organizations with corporate strategies of buying organization is crucial for the success and leadership of the buying organization. Therefore, this paper intends to determine the most influential corporate strategy based supplier pre-qualification criteria. Data acquisition phase of the Delphi technique was used for determining criteria and fuzzy relational maps was used for relating criteria with corporate strategies. All data were collected from a global Tier-1 manufacturing company in the automotive industry. The results show that the most important strategy based criteria were mainly about organizational and managerial characteristics of the company. Cost and price, which are considered very important in the literature and in real life practices, were determined as moderately important in strategic context. Companies need to focus their attention on criteria such as technical qualification of employees, continuous improvement systems, and communication abilities when pre-qualifying suppliers

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Section: Discussionmentioning

confidence: 99%

Determining Strategy Based Supplier Pre-Qualification Criteria With Fuzzy Relational Maps

Petriçli¹,

Emel²

2016

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“…Different sets of and are given in Table 4 and the corresponding sets of are listed in Figure 1. x 11 x 31 x 41 x 71 x 81 x 101 x 22 x 62 x 53 x 94 Parameter̃denotes the purchasing cost from the supplier to customers. The value of the cost always changed with the market.…”

Section: Numerical Examplementioning

confidence: 99%

“…The uncertainty usually results in the widespread risk issues within or external to the supplier selection of a supply chain system. Aghai et al [22] developed a fuzzy multiobjective programming model containing quantitative and qualitative risk factors as well as quantity discount to propose supplier selection. In their model, late items, rejected items, environment conditions, and vendor rate are set as qualitative factors (fuzzy), and just unit cost is modeled as quantitative factor.…”

Section: Introductionmentioning

confidence: 99%

A Novel Multiobjective Programming Model for Coping with Supplier Selection Disruption Risks under Mixed Uncertainties

Han

Yao

2016

Scientific Programming

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Supply chain has become more and more vulnerable to disruption since it is suffering widespread risk issues from inside or outside. Higher uncertainties in the supplier selection problem have gone beyond the traditional cost minimization concern. These uncertainties are related to an ever increasing product variety, more demanding customers, and a highly interconnected distribution network. This paper focuses on the supplier selection problem with disruption risks and mixed uncertainties. A novel multiobjective optimization model with mixed uncertain coefficients is developed, which maximizes the total profits and minimizes the percentage of items delivered late, percentage of items rejected, and total loss cost due to supplier dysfunction. Meanwhile, we also consider the customer demand to be a random fuzzy variable and the unit purchase cost to be a fuzzy variable. By examining a numerical example, we found that the confidence level and demand of customers have impact on the quantities purchased by customers from suppliers although the distribution of suppliers will not change. The cost, quality, and service also influence the selection of suppliers. The superevents have little influence on the distribution of supplier selection; however, when unique event occurs, the distribution of supplier selection will change.

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“…The SSE process seeks to review, evaluate and choose the appropriate suppliers that should be part of the company supply chain [9]. Those should be able to supply the requested products/services in the appropriate quantities, prices and deadlines [10].…”

Section: Introductionmentioning

confidence: 99%

Suitability of a Consensual Fuzzy Inference System to Evaluate Suppliers of Strategic Products

et al. 2018

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This paper designs a bidding and supplier evaluation model focused on strategic product procurement, and develops their respective evaluation knowledge bases. The model is built using the most relevant variables cited in the reviewed procurement literature and allows to compare two evaluation methods: a factor weighting method (WM) and a fuzzy inference system (FIS). By consulting an expert panel and using a two-tuples symbolic translation system, strong fuzzy partitions for all model variables are built. The method, based on central symmetry, permits to obtain the fuzzy label borders from their cores, which have been previously agreed among experts. The system also allows to agree the fuzzy rules to embed in the FIS. The results show the FIS method's superiority as it allows to better manage the non-linear behavior and the uncertainty inherent to the supplier evaluation process.

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A fuzzy multi-objective programming model for supplier selection with volume discount and risk criteria

Cited by 13 publications

References 14 publications

Determining Strategy Based Supplier Pre-Qualification Criteria With Fuzzy Relational Maps

Determining Strategy Based Supplier Pre-Qualification Criteria With Fuzzy Relational Maps

A Novel Multiobjective Programming Model for Coping with Supplier Selection Disruption Risks under Mixed Uncertainties

Suitability of a Consensual Fuzzy Inference System to Evaluate Suppliers of Strategic Products

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