A MOORA based fuzzy multi-criteria decision making approach for supply chain strategy selection

Dey, Balaram; Bairagi, Bipradas; Sarkar, Bijan; Sanyal, S.K.

doi:10.5267/j.ijiec.2012.03.001

Cited by 54 publications

(36 citation statements)

References 24 publications

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“…Farahani and Asgari (2007) offered a structured framework of fusion multi-attribute and multi-objective set covering problem that integrates TOPSIS and utility function (from global criterion method) for locating military warehouses. Dey et al (2012) proposed fuzzy extended multi-objective optimization on the basis of ratio analysis (MOORA) for its simplicity and applicability to identify one of the supply chain strategies namely warehouse location selection.…”

Section: Literature Reviewmentioning

confidence: 99%

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Optimization of warehouse location through fuzzy multi-criteria decision making methods

Karmaker¹,

Saha²

2015

10.5267/j.dsl

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Strategic warehouse location-allocation problem is a multi-staged decision-making problem having both numerical and qualitative criteria. In order to survive in the global business scenario by improving supply chain performance, companies must examine the crossfunctional drivers in the optimization of logistic systems. A meticulous observation makes evident that strategy warehouse location selection has become challenging as the number of alternatives and conflicting criteria increases. The issue becomes particularly problematic when the conventional concept has been applied in dealing with the imprecise nature of the linguistic assessment. The qualitative decisions for selection process are often complicated by the fact that often it is imprecise for the decision makers. Such problem must be overcome with defined efforts. Fuzzy multi-criteria decision making methods have been used in this research as aids in making location-allocation decisions. The anticipated methods in this research consist of two steps at its core. In the first step, the criteria of the existing problem are inspected and identified and then the weights of the sector and subsector are determined that have come to light by using Fuzzy AHP. In the second step, eligible alternatives are ranked by using TOPSIS and Fuzzy TOPSIS comparatively. A demonstration of the application of these methodologies in a real life problem is presented.Growing Science Ltd. All rights reserved. 5

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Section: Literature Reviewmentioning

confidence: 99%

“…Strategy selection becomes difficult as the number of alternatives and conflicting criteria increases (Dey et al, 2012). So, robust evaluation models are crucial in order to incorporate several conflicting criteria meritoriously.…”

Section: Introductionmentioning

confidence: 99%

Optimization of warehouse location through fuzzy multi-criteria decision making methods

Karmaker¹,

Saha²

2015

10.5267/j.dsl

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“…"Turto analizės bei investavimo strategijos pasirinkimas tampa vis sunkesnis, nes daugėja pasirinkimo alternatyvų, o kriterijai, pagal kuriuos renkamės, prieštarauja vieni kitiems" (Dey et al 2012 (Brauers 2004). Tas pats Brauers (Brauers, Zavadskas 2012) patobulino šį metodą, sukūrė MULTIMOORA (angl.…”

Section: Daugiakriterio Vertinimo Metodo Teorinis Pagrindimasunclassified

Investment Portfolio Formation Using Multi-criteria evaluation Method MULTIMOORA

Vaišvilas

Kaulienė

2017

Science - Future of Lithuania

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“…In classical MCDM decision makers make decision under certainty on the basis of objective criteria. Where the criteria values and weights cannot be assign definitely, there fuzzy set theory is introduced to model the problem of uncertainty in decision making and such problem is known as fuzzy multiple criteria decision making (Dey et al 2012). …”

Section: Introductionmentioning

confidence: 99%

A COPRAS-F base multi-criteria group decision making approach for site selection of wind farm

Chatterjee¹,

Bose²

2013

dsl

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Today global warming is on the rise and the natural resources are getting consumed at a faster rate. Power consumption has increased many folds to cater the human need. Thus renewable energy resources are the only option available at this juncture. Wind energy is one of the renewable energy. Location selection for wind farm takes an important role on power generation. However, the location selection is a complex multicriteria problem due to the criteria factors which are conflicting in nature as well as uncertain. The process becomes more complex when a group of decision makers are involved in decision making. In the present study, a COPRAS (COmplex PRoportional ASsessment) based multi-criteria decision-making (MCDM) methodology is done under fuzzy environment with the help of multiple decision makers. More specifically, this study is aimed to focus the applicability of COPRAS-F as a strategic decision making tools to handle the group decision-making problems.

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A MOORA based fuzzy multi-criteria decision making approach for supply chain strategy selection

Cited by 54 publications

References 24 publications

Optimization of warehouse location through fuzzy multi-criteria decision making methods

Optimization of warehouse location through fuzzy multi-criteria decision making methods

Investment Portfolio Formation Using Multi-criteria evaluation Method MULTIMOORA

A COPRAS-F base multi-criteria group decision making approach for site selection of wind farm

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