Supplier selection towards uncertain and unavailable information: An extension of TOPSIS method

Sureeyatanapas, Panitas; Sriwattananusart, Kawinpob; Niyamosoth, Thanawath; Sessomboon, Weerapat; Arunyanart, Sirawadee

doi:10.1016/j.orp.2018.01.005

Cited by 61 publications

(46 citation statements)

References 54 publications

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“…On one side, this facilitates data collection. On the other, the complexity of fuzzy logic approaches often raises difficulties for their practical application (Gerogiannis et al 2010;Sureeyatanapas et al 2018). Therefore, for fuzzy-based methods the support provided by a computer tool could be beneficial.…”

Section: Discussionmentioning

confidence: 99%

Leanness measurement methods in manufacturing organisations: a systematic review

Cocca

Marciano

Alberti

et al. 2018

International Journal of Production Research

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The interest of lean companies in tools to monitor and control their lean implementation process, i.e. their leanness level, is continuously increasing. A multitude of diverse approaches have been proposed in the literature for that purpose. In order to provide some guidance both to practitioners interested in selecting a tool and academics aiming at developing a new approach, a systematic review of the methods to measure leanness in manufacturing organisations is carried out. Thirty-one methods are identified and critically analysed based on a set of comparative dimensions. The main strengths and weaknesses of each approach are highlighted. In particular, this paper's results show that only less than a third of the methods are able to assess leanness in a complete way, taking into consideration both the degree of lean practices adoption and the performance outcomes resulting from implementation. In order to contribute to the reinforcement of a unifying view of the leanness concept, a new leanness definition is developed. Some further gaps in the literature are pointed out, providing directions for future research.

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Section: Discussionmentioning

confidence: 99%

Leanness measurement methods in manufacturing organisations: a systematic review

Cocca

Marciano

Alberti

et al. 2018

International Journal of Production Research

View full text Add to dashboard Cite

show abstract

“…In prior studies, decision-makers were forced to evaluate with real numbers, which limited their cognitive thinking process to a specific range, and more likely to have inaccurate scores [24]. Nevertheless, in practical situations, decision makers tend to express their preferences in discrete language terms, and managers are not very confident in subjective decision-making [25]. To design a more practical evaluation method, it is necessary to integrate the experience, knowledge or opinions from multiple decision-makers [26].…”

Section: Related Literaturementioning

confidence: 99%

Uncertain Multiplicative Language Decision Method Based on Group Compromise Framework for Evaluation of Mobile Medical APPs in China

Zhang

Ding

2020

IJERPH

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The mobile medical application (M-medical APP) can optimize medical service process and reduce health management costs for users, which has become an important complementary form of traditional medical services. To assist users including patients choose the ideal M-medical APP, we proposed a novel multiple attribute group decision making algorithm based on group compromise framework, which need not determine the weight of decision-maker. The algorithm utilized an uncertain multiplicative linguistic variable to measure the individual original preference to express the real evaluation information as much as possible. The attribute weight was calculated by maximizing the differences among alternatives. It determined the individual alternatives ranking according to the net flow of each alternative. By solved the 0–1 optimal model with the objective of minimizing the differences between individual ranking, the ultimate group compromise ranking was obtained. Then we took 10 well-known M-medical APPs in Chinese as an example, we summarized service categories provided for users and constructed the assessment system consisting of 8 indexes considering the service quality users are concerned with. Finally, the effectiveness and superiority of the proposed method and the consistency of ranking results were verified, through comparing the group ranking results of 3 similar algorithms. The experiments show that group compromise ranking is sensitive to attribute weight.

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“…20 14 20 13 4 10 10 15 4 9 2 1 5 Source: Arabzad, et al, 2014;Bahadori, et al, 2017;Bali, S., 2017;Dargi, et al, 2014;Dweiri, et al, 2016;Jain, et al, 2016;Junior & Osiro, 2014;Junior & Carpinetti, 2016;Mirmousa & Dehnavi, 2016;Rezaei, et al, 2014;Rezaei, et al, 2016;Rouyendegh & Saputro, 2014;Sivrikaya, et al, 2015;Sureeyatanapas, et al, 2018;Wan, et al, 2017;Wu, et al, 2016;Zhang, et al, 2015;and Zhong & Yao, 2017 The other consideration made in using AHP & TOPSIS methods in this study is the strengths of those methods relative to those of other alternative MCDM as summarized in Table 3. 1.…”

Section: Literature Reviewmentioning

confidence: 99%

Comparative Study Of AHP And AHP-Topsis In Analyzing Supplier Priority (A Case Study Of Diesel Fuel Supplier At PT. X)

Kurniawan

Hamali

Gunawan

2020

jmi

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The selection of diesel fuel supplier at PT. X which were held in four operational areas, namely South Sumatra, Central Kalimantan, West Kalimantan, and East & North Kalimantan. The purpose is to determine the criterias, subcriterias and their importance weights in the selection of the best diesel fuel suppliers for each operational areas of PT. X. This study will compare the use of two well-known multi-criteria decision making methods namely AHP (Analytical Hierarcy Process) and AHP-TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). The criterias were tested are Quality, Price, Capability, Delivery, Supplier Profile, and Service & Relationship with the results of the highest weighted criteria is Delivery, then followed by the highest weighted subcriteria is Supply Capability. Keywords— AHP, TOPSIS, Supplier Selection, Best Supplier

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Supplier selection towards uncertain and unavailable information: An extension of TOPSIS method

Cited by 61 publications

References 54 publications

Leanness measurement methods in manufacturing organisations: a systematic review

Leanness measurement methods in manufacturing organisations: a systematic review

Uncertain Multiplicative Language Decision Method Based on Group Compromise Framework for Evaluation of Mobile Medical APPs in China

Comparative Study Of AHP And AHP-Topsis In Analyzing Supplier Priority (A Case Study Of Diesel Fuel Supplier At PT. X)

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