A systematic assessment of supplier selection literature – State-of-the-art and future scope

Wetzstein, Anton; Hartmann, Evi; Benton, W. C.; Hohenstein, Nils-Ole

doi:10.1016/j.ijpe.2016.06.022

Cited by 172 publications

(128 citation statements)

References 102 publications

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“…Because this utilization cannot be generalized, we refer to the wide range of process and topic specific approaches, for which the indicator information can provide valuable input (e.g., [50,[69][70][71]). The utilization of the sustainability information into approaches for supplier selection, such as those provided in a recent review by Wetzstein et al [72], serves as an example.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Sustainability Assessment in Automotive and Electronics Supply Chains—A Set of Indicators Defined in a Multi-Stakeholder Approach

2016

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Abstract:In automotive and electronics supply chains, sustainability assessment is gaining increasing importance. More stringent regulations and growing customer pressure are driving the change towards more environmentally, socially and economically responsible supply chains. Since this implies a rising use of resources for data collection, monitoring, exchange and assessment, the objective of this paper is to facilitate supply chain sustainability assessment. The present paper first provides a tailored set of 69 supply chain sustainability indicators for the European automotive and electronics industries. These were derived on the basis of a systematic literature review, together with 13 semi-structured interviews and five focus group workshops, all of which involved sustainability and industry experts. Second, the paper provides a case example of software-based supply chain sustainability data exchange. The extent to which sustainability information is currently exchanged in the two industries is also analyzed. The set of indicators is scientifically relevant since it considers all three dimensions of sustainability and is intended to allow for supply chain-wide sustainability assessment in two specific industries. It is also of high practical relevance since it was developed with and validated by industry experts, and also since it considers industrial and technical requirements for supply chain sustainability assessment in order to increase the efficiency of the work processes.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Sustainability Assessment in Automotive and Electronics Supply Chains—A Set of Indicators Defined in a Multi-Stakeholder Approach

2016

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“…The most current collection of factors susceptible to be incorporated in SSE general models, excluding additional green/sustainable factors, which are still in an early stage of research cycle [15] are the ones shown in the review of Ho et al [66] and summarized in Table 1.…”

Section: Main Methodologies and Factors Used In Sse Modelsmentioning

confidence: 99%

“…Thus, "fuzzy" versions of these MADM tools have proliferated, both in their single and hybrid applications [7,13,14]. On the other hand, the SSE models proposed in recent years tend to incorporate green, sustainable, and strategy-related factors, although they are still in an early stage of research cycle [15].…”

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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“…Identification of necessary criteria for vendor selection; Recognition of the interdependence between criteria; Eliciting the weights of criteria; Evaluation of vendors; Negotiation for the purchase. Wetzstein et al (2016) distinguished two kinds of supplier selection problems: Single sourcing supplier selection, where the only decision to make is "which supplier is the best?" and multiple sourcing supplier selection, where order quantities are split among different suppliers with Fig.…”

Section: State Of the Artmentioning

confidence: 99%

Client selection and combination for farm perishable products

2017

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This paper deals with the problem of selecting the most profitable combination of clients to sell a given perishable production of a vegetable farm. A farmer has pre-qualified a pool of potential clients, characterized by specific product mixes, prices, supply contract durations and farm workers requirements to prepare and deliver the order. The farmer is allowed to purchase products from surrounding farms to meet the contracts specifications, if the farm production is not sufficient. We present a Mixed Integer Linear Programming model to maximize the profit of farm sales with production and workforce capacities. We develop submodels to describe the demand characteristics of four targeted clients categories: farmers' market, community supported agriculture, contract demand and wholesalers. Theoretical complexity of the model and preliminary computational results are discussed.

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A systematic assessment of supplier selection literature – State-of-the-art and future scope

Cited by 172 publications

References 102 publications

Sustainability Assessment in Automotive and Electronics Supply Chains—A Set of Indicators Defined in a Multi-Stakeholder Approach

Sustainability Assessment in Automotive and Electronics Supply Chains—A Set of Indicators Defined in a Multi-Stakeholder Approach

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

Client selection and combination for farm perishable products

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