Software Selection in Manufacturing Industries Using a Fuzzy Multiple Criteria Decision Making Method, PROMETHEE

Rao, R. Venkata; Rajesh, Thankam Sreekumar

doi:10.4236/iim.2009.13023

Cited by 11 publications

(7 citation statements)

References 14 publications

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“…Selecting a software system and its vendor are critical parts of any organization since the selected software runs essential and critical business functions to manage operations such as production planning, quality control, inventory management, sales and marketing in the organization. Excellent software doesn't only meet the requirements of organizations but also support higher corporate goals and strategies to sustain competitive advantage (Rao and Rajesh 2009). Thus, the selection and implementation of such software is known as a complex and strategic decision for many companies since it requires many critical factors to be considered (Cisneros et al 2017).…”

Section: Introductionmentioning

confidence: 99%

“…MCDM methods have been applied to obtain more reasonable decisions in many fields. Considering the importance of appropriate software selection for organizations, the subject has received much more attention from both researchers and practitioners in the literature (Sarkis and Talluri 2004;Rao and Rajesh 2009;Victor and Upadhyay 2011;Kazancoglu and Burmaoglu 2013;Eastham et al 2014;Yazgan et al 2009;Bijoyeta and Misra 2018;Karsak and Ozogul 2009;Mulebeke and Zheng 2006).…”

Section: Introductionmentioning

confidence: 99%

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A Pythagorean Cubic Fuzzy Methodology Based on TOPSIS and TODIM Methods and its Application to Software Selection Problem

Şeker

Kahraman

2021

Preprint

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Software selection process for many organizations is a challenging task to conduct their business activities and sustain competitiveness. This paper develops a new hybrid multi-criteria decision making (MCDM) method to select the most effiecient vendor-supplied software package which is used in all business activities for planning or designing, organizing, and supervising functions by operations management of a fuel oil company operated in Turkey. The proposed method is a hybridization of two well-known MCDM approaches, namely TODIM (an acronym in Portuguese for Interactive and Multi criteria Decision Making) and TOPSIS (technique for order preference by similarity to an ideal solution) using Pythagorean cubic fuzzy sets (PCFS) to manage uncertainty, subjectivity and bias of decision makers (DMs). To prove the efficiency and applicability of the proposed method, a real life application to select best software package for fuel oil company, is conducted. Finally, a sensitivity and comparison analyses are carried out to verify validity and stability of the results obtained by the proposed approach.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Pythagorean Cubic Fuzzy Methodology Based on TOPSIS and TODIM Methods and its Application to Software Selection Problem

Şeker

Kahraman

2021

Preprint

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“…Chien, Wang and Wei applied AHP method to selecting most suitable Enterprise Resource Planning (ERP) systems [5]. Rao and Rajesh used Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) along with AHP and fuzzy theory to select system for manufacturing industry [6]. Pitchipoo set up criteria for selecting system vendor based on AHP method, grey relation analysis and sensibility analysis [7].…”

Section: Introductionmentioning

confidence: 99%

A Delphi-AHP Model of Consultants Evaluation for Airline Operation Systems

LU¹,

SUNG²

2017

Int. j. appl. phys. sci.

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The accuracy of the content should not be relied upon and primary sources of information should be considered for any verification. KKG Publications shall not be liable for any costs, expenses, proceedings, loss, actions, demands, damages, expenses and other liabilities directly or indirectly caused in connection with given content. This article may be utilized for research, edifying, and private study purposes. Any substantial or systematic reproduction, redistribution, reselling, loan, sub-licensing, systematic supply, or distribution in any form to anyone is expressly verboten.

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“…for ERP evaluation. Rao and Rajesh (2009) presented an effective decision making framework for software selection in manufacturing industries using preference ranking organization method for enrichment evaluations (PROMETHEE). Şen et al (2009) adopted an integrated decision support system to assist decision makers in enterprise software selection process while considering both qualitative and quantitative objectives in a multi-objective mathematical programming model.…”

Section: Introductionmentioning

confidence: 99%

A QFD-based decision making model for computer-aided design software selection

Prasad¹,

Chakraborty²

2016

10.5267/j.msl

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With the progress in technology and innovation in product development, the contribution of computer-aided design (CAD) software in the design and manufacture of parts/products is growing on significantly. Selection of an appropriate CAD software is not a trifling task as it involves analyzing the appositeness of the available software packages to the unique requirements of the organization. Existence of a large number of CAD software vendors, presence of discordance among different hardware and software systems, and dearth of technical knowledge and experience of the decision makers further complicate the selection procedure. Moreover, there are very few published research papers related to CAD software selection, and majority of them have either employed criteria weights computed utilizing subjective judgements of the end users or floundered to incorporate the voice of customers in the decision making process. Quality function deployment (QFD) is a well-known technique for determining the relative importance of customers' defined criteria for selection of any product or service. Therefore, this paper deals with design and development of a QFD-based decision making model in Visual BASIC 6.0 for selection of CAD software for manufacturing organizations. In order to demonstrate the applicability and potentiality of the developed model in the form of a software prototype, two illustrative examples are also provided.

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Software Selection in Manufacturing Industries Using a Fuzzy Multiple Criteria Decision Making Method, PROMETHEE

Cited by 11 publications

References 14 publications

A Pythagorean Cubic Fuzzy Methodology Based on TOPSIS and TODIM Methods and its Application to Software Selection Problem

A Pythagorean Cubic Fuzzy Methodology Based on TOPSIS and TODIM Methods and its Application to Software Selection Problem

A Delphi-AHP Model of Consultants Evaluation for Airline Operation Systems

A QFD-based decision making model for computer-aided design software selection

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