Multi-Criteria Decision-Making Methods Application in Supply Chain Management: A Systematic Literature Review

Khan, Sharfuddin Ahmed; Chaabane, Amin; Dweiri, Fikri

doi:10.5772/intechopen.74067

Cited by 39 publications

(35 citation statements)

References 125 publications

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“…Besides SAW, TOPSIS is revealed as the most used method to assess MCDM problems in different fields, such as supplier selection [123], manufacturing and product recovery [124], supply chain management [125], or material selection in the automotive industry [126], just to cite some examples. After analysing the use of MCDM in other fields of application, it shall be concluded that the trends detected in the field of sustainability assessment of infrastructures are quite similar to those popular in other fields.…”

Section: Aggregation Of Indicatorsmentioning

confidence: 99%

A Review of Multicriteria Assessment Techniques Applied to Sustainable Infrastructure Design

Navarro

2019

Advances in Civil Engineering

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Given the great impacts associated with the construction and maintenance of infrastructures in both the environmental, the economic and the social dimensions, a sustainable approach to their design appears essential to ease the fulfilment of the Sustainable Development Goals set by the United Nations. Multicriteria decision-making methods are usually applied to address the complex and often conflicting criteria that characterise sustainability. The present study aims to review the current state of the art regarding the application of such techniques in the sustainability assessment of infrastructures, analysing as well the sustainability impacts and criteria included in the assessments. The Analytic Hierarchy Process is the most frequently used weighting technique. Simple Additive Weighting has turned out to be the most applied decision-making method to assess the weighted criteria. Although a life cycle assessment approach is recurrently used to evaluate sustainability, standardised concepts, such as cost discounting, or presentation of the assumed functional unit or system boundaries, as required by ISO 14040, are still only marginally used. Additionally, a need for further research in the inclusion of fuzziness in the handling of linguistic variables is identified.

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Section: Aggregation Of Indicatorsmentioning

confidence: 99%

A Review of Multicriteria Assessment Techniques Applied to Sustainable Infrastructure Design

Navarro

2019

Advances in Civil Engineering

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“…AHP and DEA are two leading MCDA methods by the number of applications and publications (Khan et al., 2015). Then, AHP and DEA were first considered to be applied to this work, since application of both methods provides an assessment index, ranging from 0 to 1.…”

Section: Introductionmentioning

confidence: 99%

Multiple criteria assessment of sustainability programs in the textile industry

Netto

Salomon

Ortíz‐Barrios

et al. 2020

Int Trans Operational Res

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To survive in the long term, business needs to profit, controlling environmental impacts with social responsibility. Sustainability programs involve the integration of social and environmental issues in business models and organizational processes. The assessment of sustainability programs is a problem of multiple criteria decision analysis (MCDA). This work presents applications of MCDA for the assessment of sustainability programs in the textile industry. Applied methods for MCDA are analytic hierarchy process (AHP) and the technique for the order of preference by similarity to ideal solution (TOPSIS). The reasons to apply AHP and TOPSIS include providing an assessment index, ranging from 0 to 1, and that the MCDA model is expected to have more criteria than alternatives. Therefore, an application of other methods, such as data envelopment analysis, could be prejudiced. Concepts from the triple bottom line, economic, social as well as environmental criteria were inserted in the proposed model. Sustainability programs of six leading companies from the Brazilian textile industry were evaluated. The main finding of the research is that AHP and TOPSIS resulted in similar evaluations for sustainability programs. Both methods resulted in the same rank of alternatives. However, with TOPSIS, companies' sustainability indices were more disperse, varying from 0.10 to 0.92 against a range from 0.23 to 0.69 with AHP.

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“…MCDM techniques can then deal with the multicausality nature of the bullwhip effect problem, which can be represented by a set of criteria related to the main causes of this phenomena: demand forecasting updating, order batching, price fluctuations, gaming, and rationing. In addition, the use of AHP and DEMATEL methods enable supply chain managers to design both short-term and long-term strategies based on linear dependency, interdependence, and feedback so that bullwhip effect management can be facilitated (Khan, Chaabane, & Dweiri, 2018;Ortiz-Barrios et al, 2017;Ortiz-Barrios et al, 2018;Wu & Tsai, 2012). This is complemented by the use of TOPSIS, which can calculate the gap between the current performance of bullwhip-phenomena-related criteria and the desired target (Saeida Ardakani, Nejatian, Farhangnejad, & Nejati, 2015;Shukla, Agarwal, Rana, & Purohit, 2017).…”

Section: Perspectives On Bullwhip Effectmentioning

confidence: 99%

A case of food supply chain management with AHP, DEMATEL, and TOPSIS

Ortíz‐Barrios

Hoz

López‐Meza

et al. 2019

Multi Criteria Decision Anal

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The bullwhip effect leads to considerable inefficiencies along the food supply chain such as missed production schedules, poor customer service, excessive inventory, and misguided capacity plans. To tackle this problem, it is necessary, apart from other interventions, to continuously monitor the performance of food suppliers so that the demand information flow, order batching, transportation planning, and inventory management can be substantially improved. Therefore, supplier assessment has then become critical decision‐making support for identifying and addressing inefficiencies of food providers, which ends up reducing the variation of several key logistics parameters for upstream members of the food supply chain. In addition, such assessment is of multicriteria nature given the presence of several criteria from different domains and various food suppliers. With these considerations in mind, this paper proposes a hybrid approach integrating the analytic hierarchy process (AHP), decision‐making trial and evaluation laboratory (DEMATEL), and the technique for order of preference by similarity to ideal solution (TOPSIS) for evaluating the performance of pork suppliers. Thereby, the economic and operational burden caused by the bullwhip effect throughout the pork supply chain can be alleviated. AHP was first used to determine the criteria and subcriteria weights. Then DEMATEL was applied to assess the interdependence and feedback between the decision elements. Finally, TOPSIS was implemented to discriminate between high‐performance and low‐performance pork suppliers. A case study from the Colombian pork supply chain is presented to validate the proposed approach. The results of this study evidenced that the most important criterion was the “service level” and the most influencing factor was the “financial profile.” In addition, based on the supplier assessment results, improvement plans, and new negotiation, strategies were established for each supplier in order to diminish the bullwhip effect along the pork supply chain.

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Multi-Criteria Decision-Making Methods Application in Supply Chain Management: A Systematic Literature Review

Cited by 39 publications

References 125 publications

A Review of Multicriteria Assessment Techniques Applied to Sustainable Infrastructure Design

A Review of Multicriteria Assessment Techniques Applied to Sustainable Infrastructure Design

Multiple criteria assessment of sustainability programs in the textile industry

A case of food supply chain management with AHP, DEMATEL, and TOPSIS

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