<scp>MCDM</scp> applications in logistics performance evaluation: A literature review

Chejarla, Kalyana C.; Vaidya, Omkarprasad S.; Kumar, Sushil

doi:10.1002/mcda.1774

Cited by 21 publications

(13 citation statements)

References 141 publications

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“…Apart from the bibliometric analysis, the literature includes other review studies on MCDM methods' applications. Some focused on MCDM methods and applications in general (Zavadskas et al, 2014), while others examined MCDM applications in specific fields, such as sustainable engineering (Stojčić et al, 2019), sustainable renewable energy development (Kumar et al, 2017), corporate sustainability (Chowdhury & Paul, 2020), logistics performance evaluation (Chejarla et al, 2022), supplier selection (Yildiz & Yayla, 2015), construction (Zhu et al, 2021), energy policy and decision-making problems (Kaya et al, 2018), oncology (Adunlin et al, 2015), architecture and engineering (Ogrodnik, 2019), financial modeling (Almeida-Filho et al, 2021), health care (Khan et al, 2022), andCovid-19 pandemic (Sotoudeh-Anvari, 2022). There are also review studies based on a specific MCDM method, such as TOPSIS (Behzadian et al, 2012), ELECTRE (Govindan & Jepsen, 2016), SWARA and WASPAS (Mardani et al, 2017), VIKOR (Gul et al, 2016), and COPRAS (Stefano et al, 2015).…”

Section: Bibliometric Analysis and Mcdm Methodsmentioning

confidence: 99%

Bibliometric Analysis of the MCDM Methods in the Last Decade: WASPAS, MABAC, EDAS, CODAS, COCOSO, and MARCOS

Ayan

ABACIOĞLU

2022

International Journal of Business and Economic Studies

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In recent years, multi-criteria decision-making (MCDM) techniques have expanded the corpus of existing techniques and demonstrated their effectiveness with applications in various fields. In this study, bibliometric analysis was conducted to evaluate the research trend on new ranking-based MCDM methods in the last decade, namely WASPAS, MABAC, EDAS, CODAS, COCOSO, and MARCOS. The various keyword combinations were searched on the Web of Science and the Scopus databases. Bibliometric analysis was carried out in R with the Biblioshiny app for the bibliometrix package. In total, 1,215 related publications were analyzed. The sources, authors, countries, and publications were examined in terms of production and total citation, and the most frequent keywords with trend topics were obtained. The summaries of the findings are as follows: The number of publications has increased over the years for all the methods. The most cited studies belong to the authors of the methods and fuzzy implementations related to the methods. For the author's impact and productivity, Zavadskas and Pamučar stand out. Turkey and India rank in the top five in terms of the number of publications produced on all methods. China is the most cited country for the three methods. According to keyword analysis, different research topics such as sustainability, renewable energy, optimization, supplier selection, hydrogen production and transport are investigated through these methods and other techniques are utilized such as SWARA, AHP, TOPSIS, Best-Worst, DEMATEL, MAIRCA, and CRITIC.

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Section: Bibliometric Analysis and Mcdm Methodsmentioning

confidence: 99%

Bibliometric Analysis of the MCDM Methods in the Last Decade: WASPAS, MABAC, EDAS, CODAS, COCOSO, and MARCOS

Ayan

ABACIOĞLU

2022

International Journal of Business and Economic Studies

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“…Decision-makers, criteria, and sub-criteria make comparisons with Saaty's criteria 1-9 by filling out the criteria questionnaires. Ranks of alternatives to consider all criteria are found [13][14][15][16][17][18][19][20][21][22][23].…”

Section: Ahp Technique Approach For Determining Groundwater Potential...mentioning

confidence: 99%

“…In the AHP method, factors and options are compared in pairs by experts in this method. These comparisons generally use a scale of 1-9 developed by Saaty and given in Table 1 below [16].…”

Section: Ahp Technique Approach For Determining Groundwater Potential...mentioning

confidence: 99%

Modeling and Evaluation of Ömerli Basin (Mardin, Southeastern Türkiye) Groundwater Potential using the GIS-Based Analytical Hierarchy Process (AHP) approach

ASLAN

2024

Sakarya University Journal of Science

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Water, which is an indispensable element of human life, is a basic need for other living things and nature. Groundwater, which is the world's freshwater resource, has low cost usage opportunities because it is generally of good quality and does not need to be treated. Accordingly, in recent years, there has been an excessive increase in the use of groundwater due to the low rainfall and limited surface waters. Therefore, it has become important to know the hydraulic properties of the aquifer in the evaluation techniques of groundwater resources. It is important that the methods used in the evaluation are suitable for the structure of the aquifer in order to obtain healthy results. In support of these explanations, the AHP technique, one of the GIS supported MCDM methods, was used in order to reveal the underground water potential of the Mardin province Omerli district basin. Raster maps were first created in the GIS program ArcGis ArcMap environment, and then reclassified maps were produced. These data regarding the press study were obtained from official institutions and private drilling companies dealing with groundwater. In the first stage of the study, data related to groundwater potential such as static water level, dynamic water level, well yield, depth and residual were modeled. In the second stage, these data are weighted in AHP and then the result map; It was created and interpreted with very bad, bad, moderate, good and very good values. In the third and last stage, the results and recommendations are discussed.

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“…If we have many performance factors that influence the whole, it is essential to rank or prioritise identified factors given their impact on performance (Jato‐Espino et al, 2014). Several authors, such as Wang et al (2009), Mardani et al, (2015), Çakır (2017), and Chejarla et al (2022) mentioned that MCDM methods are the most utilised techniques for factors assessments, selecting, and weighing different factors. Weight evaluation methods of MCDM techniques are usually used for prioritisation or ranking of factors, for instance, weighted product method (WPM), simple multi‐attribute rating technique (SMART), multi‐objective optimisation ratio analysis (MOORA), simple additive weighting (SAW), weighted sum method (WSM), fuzzy‐analytic hierarchy process (Fuzzy‐AHP), weighted aggregated sum‐product assessment (WASPS), and so forth.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Further, a plethora of literature in supply chain uses ISM, AHP, ANP, DEMATEL and DEMATEL‐ANP (D‐ANP), and so forth. In addition to that several recent literature review papers has been published in MCDM application in different application such as logistics performance and in sustainable manufacturing management (Chejarla et al, 2022; Pelissari et al, 2022). However, these methods bear certain limitations.…”

Section: Introductionmentioning

confidence: 99%

A hybrid multi‐criteria decision‐making approach to evaluate interrelationships and impacts of supply chain performance factors on pharmaceutical industry

Khan

Gupta

Gunasekaran

et al. 2022

Multi Criteria Decision Anal

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Pharmaceutical Supply Chain (PSC) plays a critical role in the healthcare sector. This study identifies, validates, and prioritises the factors that play a crucial role in PSC performance, adopting a threefold approach. In the first stage performance, indicators were identified through an extensive review of the literature. With the help of expert opinion, the identified factors were validated and then categorised based on technological—organisational—environmental (TOE) and supply chain (SC) theories to propose a framework. The Pakistani Pharmaceutical sector firms were selected to investigate the cause and effect relationship among the factors, their interdependencies, and impact on overall PSC performance. This investigation was supported by a novel integrated analytic model composed of best worst method (BWM), decision‐making trial and evaluation laboratory (DEMATEL), and analytical network process (ANP) methods. The results indicate that ‘human resource skills, competencies, and involvement’, ‘process improvement and healthcare reform, and manufacturing’, and ‘distribution and inventory management’ are the top three factors that have a high impact on the overall PSC performance. This study outcome help inform decision‐makers and managers in the healthcare sector in formulating strategies to improve their SC performance.

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MCDM applications in logistics performance evaluation: A literature review

Cited by 21 publications

References 141 publications

Bibliometric Analysis of the MCDM Methods in the Last Decade: WASPAS, MABAC, EDAS, CODAS, COCOSO, and MARCOS

Bibliometric Analysis of the MCDM Methods in the Last Decade: WASPAS, MABAC, EDAS, CODAS, COCOSO, and MARCOS

Modeling and Evaluation of Ömerli Basin (Mardin, Southeastern Türkiye) Groundwater Potential using the GIS-Based Analytical Hierarchy Process (AHP) approach

A hybrid multi‐criteria decision‐making approach to evaluate interrelationships and impacts of supply chain performance factors on pharmaceutical industry

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