An Integrated Approach using AHP-ER to Supplier Selection in Railway Projects

Polat, Gül; Eray, Ekin

doi:10.1016/j.proeng.2015.10.068

Cited by 30 publications

(21 citation statements)

References 8 publications

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“…The ontology-based version is verified with the aid of an empirical instance of using competency questions to verify its correctness and effectiveness (Agnieska Konys, 2019). , G., & Eray, E. (2015) Cited that AHP technique is used to calculate the weights of the evaluation criteria and the ER technique is used to rank the supplier alternatives primarily based at the weights of the assessment criteria and the evaluation effects of the alternatives. Based totally at the look at that the author had achieved, they may remedy the hassle in making the first-class choice.…”

Section: The Effectiveness and Efficiency Of The Methodsmentioning

confidence: 99%

Use Decision Support System to Efficiently Select Suppliers

El-Ebiary¹

2020

JMCMS

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In a very competitive and fast emerging IT and wireless technology need a company to move fast and it demands the company to have the correct decision support system in choosing suppliers. The right system helps company to gain useful and meaningful data in making the right decision of selecting the right suppliers which helps them to improve their performance and sustainable in the industry that they are involve in. In making the right decision of selecting suppliers the factors of efficiency and effectiveness of the decision support system used have to be concerned. In this paper, different selection methods considering their effectiveness and efficiency systems used in choosing suppliers is discussed.

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Section: The Effectiveness and Efficiency Of The Methodsmentioning

confidence: 99%

Use Decision Support System to Efficiently Select Suppliers

El-Ebiary¹

2020

JMCMS

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“…One of the essential decisions in the supply chain for contractors is to select suppliers, and the usual decision-aiding methods in contemporary economics are related to MCDM (Zavadskas, Turskis, & Antucheviciene, 2015). At present, various MCDM methods for the evaluation and selection of suppliers in the construction industry have been developed, such as the Simple Multi-Attribute Rating Technique Exploiting Ranking (SMARTER) method (Schramm & Morais, 2012), triangular fuzzy AHP method (Guan, Zhang, & Wu, 2013), AHP-ER (Evidential Reasoning) method (Polat & Eray, 2015), EDAS method (Keshavarz Ghorabaee, Zavadskas, Amiri, & Turskis, 2016), AHP and fuzzy AHP method (Plebankiewicz & Kubek, 2016), fuzzy AHP-TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method (Polat, Eray, & Bingol, 2017), AHP-GRA (grey relational analysis) method (Wang et al, 2017). However, none of those mentioned above studies assumed integration of the DEMATEL and BWM methods, which is a new system to determine weights of attributes.…”

Section: Study Backgroundmentioning

confidence: 99%

A Grey Combined Compromise Solution (Cocoso-G) Method for Supplier Selection in Construction Management

Yazdani

Wen

Liao

et al. 2019

Journal of Civil Engineering and Management

147

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This study investigates an extended version of the combined compromise solution method with grey numbers, named CoCoSo-G for short, to measure the performance of suppliers in a construction company in Madrid. Seven criteria from a relevant previous study are the basis for assessing the performance of suppliers, while ten suppliers are composing our decision matrix. To initiate the decision-making process, we invite experts to aid us in the qualitative evaluation of the suppliers using grey interval values. Two weighting methods, including the DEMATEL (Decision Making Trial and Evaluation Laboratory) and BWM (best worst method) are used to achieve the importance of supplier criteria in a combined manner. The DEMATEL method is used to realise the best and worst criteria, and the BWM is used to sort the criteria according to a linear programming formulation. The CoCoSo-G method used to release the score of each supplier and rank them. We compare the results obtained by the CoCoSo-G with those obtained by the Complex Proportional Assessment method. It is evident that offering grey values for supplier qualification, using the combined weighting tool and proposing the new CoCoSo-G approach facilitate the evaluation process while indicating trustable outcomes.

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“…AHP was used also to obtain indicators' weight values, 31 for determination of weights of each index, 32 in evaluation of the railway infrastructure objects from the perspective of tra±c safety risk, 33 and to¯nd the weights for the selection criteria in selecting the most appropriate supplier. 34 The Train Conformity Check System (TCCS) can detect and alert dispatchers about several dangerous or damaging defects on rolling stock. 35 AHP was applied to evaluate the optimal locations for the installation of the TCCS on a railway section.…”

Section: Ahp In Railway Engineeringmentioning

confidence: 99%

A Multi-Criteria Decision-Making Framework for the Evaluation of Train Control Information Systems, the Case of ERTMS

Krmac

Djordjević

2019

Int. J. Info. Tech. Dec. Mak.

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The huge potential o®ered by the implementation of a modern Train Control Information System (TCIS) could result in signi¯cant improvements in the railway sector in general. As a technology transfer, primarily in the European railway sector, the European Rail Tra±c Management System (ERTMS) is expected to play an important role in providing better railway performances. However, the implementation of ERTMS entails certain dilemmas and disadvantages and the decision-making regarding it can be one of the crucial challenges for each railway. Having this in mind, the aim of this work is to propose a decision-making framework to support such a critical decision process through application of Strengths, Weaknesses, Opportunities, and Threats (SWOT) and Analytic Hierarchy Process (AHP) analyses. In the proposed approach, external and internal factors that simultaneously enhance and constrain ERTMS implementation were identi¯ed and presented through the SWOT analysis, while the AHP method was applied for the evaluation of the importance of identi¯ed factors. The thorough literature review represents a basis for creating a SWOT matrix and setting of judgments for the evaluation of the SWOT factors. The results of the AHP method highlight the importance of the factors within the SWOT matrix regarding ERTMS implementation. Results of the AHP method were checked by two additional weight assessments in order to provide the appropriate approach for factor evaluation. The proposed approach also shows a relatively simple and very suitable decision-making framework for consideration of other TCISs, too.

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An Integrated Approach using AHP-ER to Supplier Selection in Railway Projects

Cited by 30 publications

References 8 publications

Use Decision Support System to Efficiently Select Suppliers

Use Decision Support System to Efficiently Select Suppliers

A Grey Combined Compromise Solution (Cocoso-G) Method for Supplier Selection in Construction Management

A Multi-Criteria Decision-Making Framework for the Evaluation of Train Control Information Systems, the Case of ERTMS

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