An Efficient and Simple Multiple Criteria Model for a Grinding Circuit Selection Based on MOORA Method

Stanujkić, Dragiša; Magdalinović, Nedeljko; Milanović, Dragan; Magdalinovic, Srdjana; Karabašević, Darjan

doi:10.15388/informatica.2014.05

Cited by 29 publications

(16 citation statements)

References 41 publications

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“…Stanujkic et al [29] Based on literature review that involves development and applications mostly of a crisp method under consideration, the authors suggest that grey extension of WASPAS method is feasible for most effective real world applications. The development of a novel WASPAS-G method is presented below in the following sub-section.…”

Section: Recent Applications Of Grey Extensions Of Madm Methodsmentioning

confidence: 99%

Selecting a Contractor by Using a Novel Method forMultiple Attribute Analysis: Weighted Aggregated SumProduct Assessment with Grey Values (WASPAS-G)

Zavadskas¹,

Turskis²,

Antuchevičienė³

2015

SIC

107

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Selecting the right contractor in construction industry is an important problem for an organization while the competition in global markets increases. Evaluating contractors' performance is a multiple attribute decision making process consisting of vagueness and imprecision. It is based on a set of hardly exact measurable attributes: capability and skills, occupational health and safety, technical capacity, managerial capability, bid amount, past performance and experience, financial soundness. The goals and interests of the stakeholders should be taken into consideration when selecting the attributes and their importance for the evaluation of contractors. In this context, the paper presents a novel method based on multiple attribute Weighted Aggregated Sum Product Assessment with the grey attributes scores -WASPAS-G method. The proposed method was applied in a case study of evaluation and selection of a right construction contractor, which has to be the most appropriate to stakeholders. The proposed technique, due to its capabilities of handling imprecise information because of applied grey relations and capabilities of providing decisions of enhanced accuracy when aggregating two methods, could also be used to sustain the ranking of development strategies, selecting the most effective investment or management decisions.

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Section: Recent Applications Of Grey Extensions Of Madm Methodsmentioning

confidence: 99%

Selecting a Contractor by Using a Novel Method forMultiple Attribute Analysis: Weighted Aggregated SumProduct Assessment with Grey Values (WASPAS-G)

Zavadskas¹,

Turskis²,

Antuchevičienė³

2015

SIC

107

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“…MOORA method has been used in various research areas, e.g. engineering [27], [26], [14], economics [25], [3], [28], management [4], environmental protection [16], [17] and production [8].…”

Section: Problem Solving With the Help Of Moora Methodsmentioning

confidence: 99%

Ranking of priorities among the baltic capital cities for the development of sustainable construction

Lazauskas¹,

Šaparauskas²,

Zavadskas³

2015

E+M

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“…A analytical hierarchy process (AHP) model identifying the weights of criteria in the MCDM problem by Halil I. Cobuloglu [47]. The MCDM approaches based on the Ratio system part of the MOORA method, which should enable an efficient selection of the adequate comminution circuit design by D. Stanujkic [48]. A hybrid MCDM model to addresses dependent relationships between various criteria and the vague information coming from decision-makers for improving and selecting suppliers in green supply chain management by James J.H.…”

Section: Literature Reviewmentioning

confidence: 99%

Solar Panel Supplier Selection for the Photovoltaic System Design by Using Fuzzy Multi-Criteria Decision Making (MCDM) Approaches

Wang

Tsai

2018

Energies

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Abstract:The period of industrialization and modernization has increased energy demands around the world. As with other countries, the Taiwanese government is trying to increase the proportion of renewable energy, especially solar energy resources. Thus, there are many solar power plants built in Taiwan. One of the most important components of a solar power plant is the solar panel. The solar panel supplier selection process is a complex and multi-faceted decision that can reduce the cost of purchasing equipment and supply this equipment on time. In this research, we propose fuzzy MCDM approach that includes fuzzy analytical hierarchy process model (FAHP) and data envelopment analysis (DEA) for evaluation and selection of solar panel supplier for a photovoltaic system design in Taiwan. The main objective of this work is to design a fuzzy MCDM approach for solar panel supplier selection based on qualitative and quantitative factors. In the first step of this research, FAHP is applied to define the priority of suppliers. The AHP combined with fuzzy logic (FAHP) can be used to rank suppliers; however, the disadvantages of the FAHP model is that input data, expressed in linguistic terms, depends on experience of experts and the number of suppliers is practically limited, because of the number of pairwise comparison matrices. Thus, we applied several DEA models for ranking potential suppliers in the final stages. As the result, decision making unit 1 (DMU 1) is the optimal solar panel supplier for photovoltaic system design in Taiwan. The contribution of this research is a new fuzzy MCDM for supplier selection under fuzzy environment conditions. This paper also lies in the evolution of a new approach that is flexible and practical to the decision maker. It provides a useful guideline for solar panel supplier selection in many countries as well as a guideline for supplier selection in other industries.

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An Efficient and Simple Multiple Criteria Model for a Grinding Circuit Selection Based on MOORA Method

Cited by 29 publications

References 41 publications

Selecting a Contractor by Using a Novel Method forMultiple Attribute Analysis: Weighted Aggregated SumProduct Assessment with Grey Values (WASPAS-G)

Selecting a Contractor by Using a Novel Method forMultiple Attribute Analysis: Weighted Aggregated SumProduct Assessment with Grey Values (WASPAS-G)

Ranking of priorities among the baltic capital cities for the development of sustainable construction

Solar Panel Supplier Selection for the Photovoltaic System Design by Using Fuzzy Multi-Criteria Decision Making (MCDM) Approaches

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An Efficient and Simple Multiple Criteria Model for a Grinding Circuit Selection Based on MOORA Method

Cited by 29 publications

References 41 publications

Selecting a Contractor by Using a Novel Method forMultiple Attribute Analysis: Weighted Aggregated SumProduct Assessment with Grey Values (WASPAS-G)

Selecting a Contractor by Using a Novel Method forMultiple Attribute Analysis: Weighted Aggregated SumProduct Assessment with Grey Values (WASPAS-G)

Ranking of priorities among the baltic capital cities for the development of sustainable construction ﻿

Solar Panel Supplier Selection for the Photovoltaic System Design by Using Fuzzy Multi-Criteria Decision Making (MCDM) Approaches

Contact Info

Product

Resources

About

Ranking of priorities among the baltic capital cities for the development of sustainable construction