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Development of Software Prototype for Supplier Selection amid COVID-19 Pandemic
Published in Dinesh Kumar, Kanika Prasad, Making Complex Decisions toward Revamping Supply Chains amid COVID-19 Outbreak, 2022
Identifying an alternative supplier from a healthcare point of view is critical in this widespread COVID-19 pandemic. In this study, a software prototype based on the VIKOR method is developed for alternative supplier selection. In this section, an empirical study is provided from the healthcare sector to demonstrate the use of developed application for supplier selection. An example of ABC hospital based in Kahalgaon, Bihar, which provides gynaecological consultancy and care to the women, is taken into consideration. Since the materials and tools are the medical supplies that would be used for surgical procedures too, they must meet the quality standards of a healthcare board. Also, in the current times of pandemic when the infection rate is high, medical supplies with higher quality and quantity are required at the hospitals. Therefore, the selection of an alternative supplier is of great importance.
Multi-Criteria Decision-Making Techniques
Published in Chandan Deep Singh, Jaimal Singh Khamba, Manufacturing Competency and Strategic Success in the Automobile Industry, 2019
Chandan Deep Singh, Jaimal Singh Khamba
The compromise solution is a feasible solution that is the closest to the ideal solution, and a compromise means an agreement established by mutual concession. The compromise solution method, also known as VIKOR is the Vlse Kriterijumska Optimizacija I Kompromisno Resenje in Serbian, which means multi-criteria optimization (MCO), introduced as one applicable technique to implement within MADM. It focuses on ranking and selecting from a set of alternatives in the presence of conflicting criteria. The compromise solution, whose foundation was established is a feasible solution, which is the closest to the ideal, and here “compromise” means an agreement established by mutual concessions. The VIKOR method determines the compromise ranking list and the compromise solution by introducing the multi-criteria ranking index based on the particular measure of “closeness” to the “ideal” solution.
Traditional MADM and New Hybrid MADM for Problem Solving
Published in Gwo-Hshiung Tzeng, Kao-Yi Shen, New Concepts and Trends of Hybrid Multiple Criteria Decision Making, 2017
The modified VIKOR method is applied to determine the compromise solution for two main purposes: (1) to make ranking or selection decisions and (2) to form a priority for a specific alternative to plan for systematic improvement. In brief, the modified VIKOR with the aspired/worst performance evaluation approach has paved a new way for traditional MADM to shift the research focus from ranking/selection to improvement planning, and can be used for only one (single) alternative performance improvement planning.
Selecting spare parts suitable for additive manufacturing: a design science approach
Published in Production Planning & Control, 2021
Atanu Chaudhuri, Hasse Andreas Gerlich, Jayanth Jayaram, Abhijeet Ghadge, Johan Shack, Benjamin Hvidberg Brix, Lau Holst Hoffbeck, Nikolaj Ulriksen
The VIKOR method focuses on ranking and selecting from a set of alternatives in the presence of conflicting criteria. It determines a compromise solution that could be accepted by the decision makers because it provides a maximum group utility for the ‘majority’ and a minimum of individual regret for the ‘opponent’. In comparison, the TOPSIS method introduces two reference points, using vector normalisation, but it does not consider the relative importance of the distances from these points. Ranking using the PROMETHEE method, with a linear preference function, gives the same results as ranking using the VIKOR method. Ranking results using the ELECTRE II method, with linear ‘surrogate’ criterion functions, are relatively similar to the results using the VIKOR method (Opricovic and Tzeng 2007).
A practical framework for supplier selection decisions with an application to the automotive sector
Published in International Journal of Production Research, 2020
Hengameh Hadian, S. Chahardoli, Amir-Mohammad Golmohammadi, Ali Mostafaeipour
The VIKOR method is found as an appropriate and very useful decision-making approach which focuses on ranking and choosing from a given set of alternatives in the existence of contradictory criteria which can help the DMs to reach a final decision (Opricovic 2011; Akman 2015). Nevertheless, it cannot be used to solve the MADM problem in the situation where the DM’s behaviour is taken into account (Qin, Liu, and Pedrycz 2015). Therefore, in several studies, the VIKOR method is integrated with other MCDM methods to increase its efficiency and consider DM’s behaviour in evaluating alternatives. In this section, integrated VIKOR-based approaches have also been investigated from the most recent published review papers in this field (Yazdani and Graeml 2014; Mardani et al. 2016; Keshavarz Ghorabaee et al. 2017).
Development of public cloud manufacturing markets: a mechanism design approach
Published in International Journal of Systems Science: Operations & Logistics, 2023
Jalal Delaram, Mahmoud Houshamand, Farid Ashtiani, Omid Fatahi Valilai
This paper manipulates a matching mechanism for public Cloud Manufacturing markets based on the Intuitionistic Fuzzy Sets (IFSs) Theory, VIKOR method and Deferred Acceptance (DA) algorithm. The VIKOR method provides a rational, scientific and systematic approach to enable providers and consumers to evaluate the attributes of each other, and develop their preference lists. Also, this method is augmented by the IFS Theory to interpret the high level of vagueness and uncertainty in the process of preference list development. Then, DA algorithm is discussed and exploited to provide a stable solution for the matching problem. In the following, a brief introduction about some preliminary issues and the detail of the mechanism is presented.