Interval-valued availability framework for supplier selection based on component importance

Hague, Robert K.; Barker, Kash; Ramírez-Márquez, José Emmanuel

doi:10.1080/00207543.2015.1018454

Cited by 15 publications

(6 citation statements)

References 27 publications

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“…Among all the available MCDM methods, PROMETHEE II was an underutilized technique for SS. Hague et al (2015) used the TOPSIS technique to address the selection of sole suppliers as per the ability to provide parts. Luthra et al (2017) investigated SS problem using AHP and VIKOR method and highlighted PROMETHEE in future research.…”

Section: Theoretical Perspectivementioning

confidence: 99%

Multi-criteria decision-making toward supplier selection: exploration of PROMETHEE II method

Agrawal

2021

BIJ

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PurposeSupplier Selection (SS) is one of the vital decisions frequently executed by numerous industries. In recent times, the number of suppliers has increased enormously depending on a wide range of criteria. A selection of suppliers is a sensitive process that may impact various supply chain activities. The purpose of this research is to explore an underutilized technique called PROMETHEE II method for SS.Design/methodology/approachVarious tools and techniques are available under multi-criteria decision-making tools, which sometimes creates confusion in researchers' minds regarding reliability. PROMETHEE II was the most prominent method for ranking all available alternatives that ultimately avoid decision-making errors. To execute this equal and unequal weights approach has been used with three case studies.FindingsIn this research, three case studies have been used and soved with the help of the PROMETHEE II approach. The study also provides fundamental insights into the supplier's ranking on different criteria using sensitivity analysis. Further, criteria were divided as per benefits and non-beneficial to get a robust result. The pros and cons of PROMETHEE II approaches are also highlighted compared to other MCDM tools in this study.Originality/valueMost of the SS research uses either AHP or TOPSIS as per existing literature. There are very few attempts highlighted in the literature that use PROMETHEE II for the SS problem with sensitivity analysis. The proposed method is probable to motivate decision-makers to consider using a more sophisticated method like PROMETHEE II in supplier evaluation processes. This study opens a new direction for the ranking of suppliers in the field of the supply chain. The study also bears significant practical as well as managerial implications.

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Section: Theoretical Perspectivementioning

confidence: 99%

Multi-criteria decision-making toward supplier selection: exploration of PROMETHEE II method

Agrawal

2021

BIJ

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“…Liu and Zhang (2011) employed the ELECTRE III algorithm to solve the supplier evaluation problem, incorporating the technology available, service, management capability and enterprise environment as evaluation criteria. Hague et al (2015) proposed a TOPSIS-based approach to ranking and selecting the best supplier basing its performance in part on reliability and maintainability.…”

Section: Traditional Vendor Selectionmentioning

confidence: 99%

A trasilient decision making tool for vendor selection: a hybrid-MCDM algorithm

Mohammed

Harris

Dukyil

2019

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Purpose Vendor selection is the main activity in a sourcing decision, which is a strategic decision in that it leads enterprises to eliminate costs and improve their performance. However, an inappropriate selection may compromise the financial and operational status of the enterprise. But vendor selection is a complex, multi-criteria decision-making process because different and conflicting criteria have to be considered and assessed in order to find consistent suppliers. Consequently, evaluating and selecting the best vendor is the key to successful business. Traditionally, vendors are normally selected on the basis of traditional criteria (TC), such as costs and quality, neglecting resilience criteria (RC) (e.g. agility and flexibility). Thus, enterprises ultimately realize that a selecting method which involves TC as the only ones is inefficient and needs to be changed. The paper aims to discuss this issue. Design/methodology/approach This study was set in motion by a problem in practice. It aims to provide a user-friendly decision-making tool for selecting the best vendor from a group which submitted their tenders for implementing a proposed radio frequency identification (RFID)-based passport tracking system (Dukyil et al., 2017). The main traditional and resilience (“trasilience” henceforth) selection criteria were identified in a unified framework in collaboration with experts in the institution. Next, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) algorithm was used to determine the relative importance of each criterion and the weights thus obtained were integrated into the ELimination Et Choix Traduisant la REalité (ELECTRE) algorithm. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) algorithm was also applied, to evaluate the performance of vendors and to select the best one. The qualitative evaluation of the criteria and the vendors was based on four decision makers. Finally, the Spearman’s rank correlation coefficient (SRCC) approach was applied to obtain the statistical difference between the ranking orders obtained from the two algorithms. Findings The efficiency of the proposed decision-making tool was evident from the real-case study of six tenders submitted for implementing a RFID-based passport tracking system. The SRCC also turned out a “very strong” association value between TOPSIS and ELECTRE. Practical implications The developed trasilient decision-making tool can easily be used to solve similar vendor or supplier selection problem. Moreover, other criteria can be added to fit other cases. Later, the tool was made available to the institution under study for solving future evaluation problems. Originality/value The literature shows that none of the previous papers presented an integrated trasilient approach that considers RC and TC simultaneously. This study presents a new trasilience tool for selecting a vendor.

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“…However, it is out of use when there are many suppliers, which was the main reason for using DEA. Hague et al (2015) utilized TOPSIS with interval values for the supplier selection problem. They have considered the suppliers' strengths to provide the required components and illustrated the performance of the proposed framework in the aircraft industry.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Approach to Multi-Stage Supplier Evaluation: Confidence Level Measurement in Ordinal Priority Approach

Mahmoudi

Javed

2022

Group Decis Negot

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A popular framework of the supplier selection process is usually characterized by problem definition, criteria formulation, supplier screening, and supplier selection. The literature review suggested limitations of this framework as it ignores the screening of criteria (beyond criteria weighing) and evaluators (buyers) and its inability to guide the supplier selection problems where a measure of confidence or trust is needed to confirm the reliability of the selected supplier. While extending de Boer's influential supplier selection framework, the current study argues that the supplier selection problem is not merely about ranking suppliers based on given criteria; instead, it involves evaluating criteria and evaluators as well. Guided by the theory of statistics and the Ordinal Priority Approach (OPA), the study pioneers a probabilistic approach of supplier evaluation and selection under incomplete information using a novel Confidence Level measure. The study suggests, the probability that a supplier shortlisted for selection is actually the optimum choice or not can be explained through a probability distribution, called W-distribution, therefore, confidently preventing the decision-makers from selecting the sub-optimum suppliers. The study presents a novel contribution to the theory of multiple-attribute decisionmaking through the OPA. The proposed approach can help build intelligent decision support systems to aid managers while providing them with early warning tools and suggestions to improve confidence in their selection.

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Interval-valued availability framework for supplier selection based on component importance

Cited by 15 publications

References 27 publications

Multi-criteria decision-making toward supplier selection: exploration of PROMETHEE II method

Multi-criteria decision-making toward supplier selection: exploration of PROMETHEE II method

A trasilient decision making tool for vendor selection: a hybrid-MCDM algorithm

Probabilistic Approach to Multi-Stage Supplier Evaluation: Confidence Level Measurement in Ordinal Priority Approach

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