scholarly journals Multi-Criteria Decision Making with the VIKOR and SMARTER Methods for Optimal Seller Selection from Several E-Marketplaces

2020 ◽  
Vol 202 ◽  
pp. 14002
Author(s):  
Miftahul Arif ◽  
Jatmiko Endro Suseno ◽  
R. Rizal Isnanto
Keyword(s):  
Decision Making ◽  
Case Studies ◽  
Selection Criteria ◽  
Multi Criteria Decision Making ◽  
Vikor Method ◽  
Product Price ◽  
Weighted Index ◽  
Competitive Prices ◽  
Seller Selection

Many similar products offered by several sellers in e-marketplace applications make the buyers need to be more selective when shopping. This article addresses the prioritization of the goods sellers alternatives in e-marketplace by integrating the VIKOR with the SMARTER method for the process of multi-criteria decision making (MCDM) by considering various variables as selection criteria. There are five variables of sellers in the e-marketplace that are used as selection criteria, namely: product price, number of products sold, seller score rating, number of reviews with five stars, and location distance. The SMARTER method is used to determine the criteria weight, and the VIKOR model to rank the alternative priorities according to the weighted index. The case studies are conducted on three e-marketplace in Indonesia with the most number of monthly web visitors, namely: Shopee, Tokopedia, and Bukalapak. Finally, integration of SMARTER and VIKOR method allows the buyers to get the good products at competitive prices from the optimal goods sellers in the e-marketplace.

Rank Reversal and the VIKOR Method: An Empirical Evaluation

2018 ◽  
Vol 17 (02) ◽  
pp. 513-525 ◽  
Author(s):  
Blanca Ceballos ◽  
David A. Pelta ◽  
María T. Lamata
Keyword(s):  
Decision Making ◽  
Empirical Evaluation ◽  
Decision Problems ◽  
Multi Criteria Decision Making ◽  
Common Phenomenon ◽  
Vikor Method ◽  
Rank Reversal

Rank reversal is a common phenomenon in multi-criteria decision-making methods. It appears when the addition/deletion of new options to the alternatives’ set produces a change in the original ranking. In this contribution, we want to assess this phenomenon in the context of the VIKOR method. Using randomly generated multi-criteria decision problems, we confirmed that rank reversal existed and strongly depended on VIKOR’s parameter. Also, we observed that the influence of the number of alternatives was stronger than that of the number of criteria. Finally, although rank reversal may exist, we saw that it may not affect the top alternative of the ranking, thus potentially having a low impact.

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PERSONIL DITRESKRIMSUS BERPRESTASI MENERAPKAN METODE VIKOR (STUDI KASUS: POLDA SUMUT)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Retnowati Sitanggang ◽  
Garuda Ginting
Keyword(s):  
Decision Making ◽  
Quality Improvement ◽  
Decision Support ◽  
Support System ◽  
Selection Process ◽  
Institutional Quality ◽  
Multi Criteria Decision Making ◽  
Vikor Method ◽  
The North ◽  
North Sumatra

The North Sumatra Police Board award team headed by the Deputy Chief of Police conducted the election of Ditreskrimsus personnel each month by giving awards to personnel / apparatuses who had real and extraordinary achievements whose results could be proud of and beneficial for the advancement of institutional quality improvement. Decision support systems or often referred to as Multi Criteria Decision Making (MCDM) function to carry out the selection process and assist someone in making accurate and targeted decisions. One method in the MCDM is Vlsekriterijumska Opimizacija I Kompromisno Resenje (VIKOR). Where this method is used to select more than one criterion and has advantages in compromising existing alternatives, then the best results selection process will be carried out, and can complete discretionary decision making. The purpose of this study is to apply the VIKOR method in making decision-making decisions for outstanding personnel in Ditreskrimsus.Keywords: decision support system, ditreskrimsus, vikor

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

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nishant Agrawal
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Supply Chain ◽  
Case Studies ◽  
Supplier Selection ◽  
Multi Criteria Decision Making ◽  
Content Type ◽  
Promethee Ii ◽  
Wide Range ◽  
Managerial Implications

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.

scholarly journals Manufacturing applications of the VIKOR approach: A scoping review

2021 ◽  
Vol 9 (4) ◽  
pp. 1673-1695
Author(s):  
Neylan Kaya
Keyword(s):  
Decision Making ◽  
Relevant Literature ◽  
Method Comparison ◽  
Comparison Method ◽  
Journal Title ◽  
Multi Criteria Decision Making ◽  
Vikor Method ◽  
Weighting Method ◽  
Comparison Results ◽  
Sorting Technique

VIKOR is a selecting and sorting technique for addressing problems and optimising multi-criteria decision making in complex systems. This study sought the relevant literature to categorise, analyse, and discuss the content and extent of existing studies that used the VIKOR method for applications in manufacturing. The study examined 84 studies published throughout 2018–2020. The studies were categorised by publication dates, author(s) name, techniques and methods, weighting method, comparison method, description of comparison results (comparing a given method to others), testing applicability, and journal-title. Analyses revealed that approximately 35 of the published studies involving VIKOR were related to its strategic use in manufacturing decisions and applications. In 2019, manufacturing was represented more than any other field among all published VIKOR papers, and Sustainability published more of the VIKOR-related articles than any other journal. Interestingly, the integrated and fuzzy VIKOR methods were used more than the traditional VIKOR method. Furthermore, the review results show that VIKOR is flexible enough to be continuously improved by integrating it with the new multi-criteria decision-making methods. This literature review can guide researchers and practitioners in applying VIKOR in various manufacturing fields.      

scholarly journals The Prioritization of Lean Techniques in Emergency Departments Using VIKOR and SAW Approaches

2021 ◽  
Vol 31 (2) ◽  
Author(s):  
Mohammad Aminjarahi ◽  
Mohsen Abdoli ◽  
Yasin Fadaee ◽  
Fatemeh Kohan ◽  
Sajjad Shokouhyar
Keyword(s):  
Decision Making ◽  
Emergency Department ◽  
Entropy Method ◽  
Theory Of Constraints ◽  
Multi Criteria Decision Making ◽  
Vikor Method ◽  
Lean Principles ◽  
Powerful Means ◽  
Last Stage

BACKGROUND፡ Considering various researches were carried out to implement Lean techniques in healthcare centers, this study has tried to investigate how lean principles could be prioritized in the Emergency Department (ED) by comparing physicians and nurses viewpoints.METHODOLOGY: In the first stage, relevant Lean techniques and several criteria to evaluate the ED performance were selected by reviewing the literature. Then, weight factors for each criterion were calculated using the Entropy method, and Lean techniques were compared and ranked via a questionnaire by which the physicians' and nurses' opinions were obtained separately. In the last stage, the final ranking of Lean techniques was done using VIKOR and SAW methods as two powerful means of Multi-Criteria Decision-Making (MCDM).RESULTS: Theory of Constraints (TOC) was selected as the most appropriate principle from the physicians' viewpoints by both decision-making methods. However, according to the nurses' opinions, Jiduka was the best approach by the VIKOR method, while with the SAW method, 5S was chosen as the most practical Lean technique.CONCLUSION: This study has illustrated that although all Lean techniques are useable for ED, these techniques' prioritization has a key role in choosing the more suitable Lean approach. Moreover, it provides a chance for the emergency wards to keep down different costs and improve staff and patient satisfaction and the quality of treatment simultaneously.

scholarly journals COMPARISON OF LINEAR AND VECTOR DATA NORMALIZATION TECHNIQUES IN DECISION MAKING FOR LEARNING QUOTA ASSISTANCE

2021 ◽  
Vol 4 (1) ◽  
pp. 22
Author(s):  
Edy Budiman ◽  
Ummul Hairah
Keyword(s):  
Decision Making ◽  
Online Learning ◽  
Data Normalization ◽  
Multi Criteria Decision Making ◽  
Vector Data ◽  
Vikor Method ◽  
Definite Answer ◽  
The Difference ◽  
Benefit Cost ◽  
Selection Of

Data normalization is essential for all kinds of decision-making problems, and a lot of effort has been spent on the development of normalization models in multi-criteria decision making (MCDM), but despite all this, there is no definite answer to the question: Which is the most appropriate technique?. This paper compares the popular normalization techniques: Linear Normalization (LN) and Vector Normalization (VN) using VIšekriterijumsko KOmpromisno Rangiranje (VIKOR) Method. The beneficiaries dataset of learning quota was collected of 399 students sample through observation (drive-test measurements and online questionnaires) to obtain information on criteria data including attributes in online learning during the Covid-19 pandemic. The ranking results for vector vs linear normalization show how ranking is affected. The difference in the selection of the best alternative (rank) shows that there are differences in vector and linear assessments that are influenced by the max-min criterion value which has an impact on the rank- sum results (benefit/cost). This test clearly shows how important it is to use an appropriate (normalized) representation of the model because there will often be a criterion where "the higher the better" while for others (cost) "the lower the better".

TOPSIS vs. VIKOR

2020 ◽  
pp. 225-250
Author(s):  
Semra Erpolat Taşabat ◽  
Tuğba Kıral Özkan
Keyword(s):  
Decision Making ◽  
Human Development ◽  
Human Development Index ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Vikor Method ◽  
Data Set ◽  
Development Index ◽  
Multidisciplinary Nature ◽  
Development Levels

Evaluating multiple criteria and selecting and/or ranking alternatives is called Multi Criteria Decision Making (MCDM). These methods which are considered important decision-making tools for decision makers due to their multidisciplinary nature have been developed over the years. As a result, there are many MCDM methods in the literature. In this chapter, TOPSIS and VIKOR, widely used in the literature, will be discussed. The major reason for examining these two methods is that the aggregating function used by both methods is similar because VIKOR method uses linear normalization and TOPSIS method uses vector normalization. The process of the methods is shown on a data set that includes the Human Development Index (HDI) indicators, which have been developed to measure the development levels of countries as well as the unemployment indicator. It was observed that the methods yielded similar results.

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