A Model For Selecting An Erp System With Triangular Fuzzy Numbers And Mamdani Inference

Vahidi, Javad; Salookolayi, D. Darvishi; Yavari, Ali

doi:10.22436/jmcs.09.01.06

Cited by 5 publications

(8 citation statements)

References 26 publications

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“…The researchers in articles [1] [3] [5], explained that an ERP product has several factors that must be considered by the buyers. Furthermore, the researcher mixed benefit parts from previous algorithm, framework, and model mentioned in articles [1] [2] [3].…”

Section: The Proposed Methodologymentioning

confidence: 99%

“…The researcher selected the algorithm from the area of "selecting best ERP software", wherein the ERP product was selected according to specific standards: time, cost, quality, and usability. Also, the researcher referred to three articles [1] [2] [3]. The e-Learning system is considered a software product as ERP product, which was highlighted and discussed in many studies [1] [2] [4].…”

Section: Introductionmentioning

confidence: 99%

“…Also, the researcher referred to three articles [1] [2] [3]. The e-Learning system is considered a software product as ERP product, which was highlighted and discussed in many studies [1] [2] [4]. The researchers in previous articles [1] [3] [5] explained that an ERP product has several factors that must be considered by the buyers.…”

Section: Introductionmentioning

confidence: 99%

“…The e-Learning system is considered a software product as ERP product, which was highlighted and discussed in many studies [1] [2] [4]. The researchers in previous articles [1] [3] [5] explained that an ERP product has several factors that must be considered by the buyers. Furthermore, these factors are commonly mentioned in many studies as: vendor information, cost, quality, usability, and portability.…”

Section: Introductionmentioning

confidence: 99%

“…This algorithm is generated by mixing three models mentioned in [1] [2] [3] as shown in figure 1. These models were used for choosing the suitable ERP products and software products.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Development of Fuzzy Decision Support System (FDSS) Procedures to Best Select e-Learning Solution

Alhawamdeh¹

2017

IJAIS

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In the recent days, technological systems were developed to be more intelligent for serving the users' needs. As the result, the developers used Artificial Intelligence (AI) methods for this purpose. In addition, Decision Support System (DSS) used to be guide for the decision makers in determining the correct decision taken in specific situation. Since, DSS technique is used in many different areas: learning, health, spatial data, etc. Hence, the proposed algorithm-based procedures/steps in this paper depends on considering all offered systems' criteria and matching these criteria with the requirements of the academic institutions which desire to purchase an e-Learning system. This paper supports the selection of e-Learning system, which is new argument that needs AI technique based on decisional tree techniques. Later, more optimization work will be introduced to modify the current methodology.

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Section: The Proposed Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…This algorithm is generated by mixing three models mentioned in [1] [2] [3] as shown in figure 1. These models were used for choosing the suitable ERP products and software products.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Development of Fuzzy Decision Support System (FDSS) Procedures to Best Select e-Learning Solution

Alhawamdeh¹

2017

IJAIS

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show abstract

Implementing Fuzzy Logic and AHP into the EFQM model for performance improvement: A case study

Ezzabadi

Saryazdi

Mostafaeipour

2015

Applied Soft Computing

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ERP Software Selection Model for Small and Medium-Sized in Retail Sector Using Analytic Network Process

Hermawan¹,

Euis²,

Fitri³

2019

jkukm

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Small and medium sized (SME) retailers strive to maintain the balance of demand and supply in their stores. By maintaining the availability of items, they able to provide positive shopping experience for customers. Therefore, they are able to survive in a competition with large retailers. The technological advances and the shopping behavior are among the factors that encourage SME retailers to adopt the technology information system for supports information between business functions to keep the balance of supply, demand and their distribution. One of the many ways to maintain balance of demand and supply is by implementing Enterprise Resource Planning (ERP) (). However, ERP is quite difficult for SME retailers to be implemented in their organization. Selecting the optimal ERP software is a critical process in the early phase of an ERP project. This study aimed to investigating the priority (preference) of the criteria and alternatives using the Analytic Network Process (ANP) approach for the small and medium-sized retailers focusing in Jakarta. This study conducted by observation and interviews with the experts who have experience with ERP and small and medium-sized retailers. In this study, the pairwise comparisons used to assess the proposed alternatives and criteria. Furthermore, this study also calculates the overall score of the criteria and alternatives for analyzing the relation and preference of the criteria and alternatives. The theory of ANP used to evaluate all criteria and alternatives with expressed numerically. The findings of this study provide an overview that small and medium-sized retail companies tend to require systems or ERP software. In this study, there are 5 criteria most preferred: ease of customization, technical aspects, functionality and compatibility with other systems, and software prices. These criteria are considered to ensure the good operational activities. The most preferred alternative is SAP Business One, as it scored highest on several criteria, Odoo and Acumatica. The limitation of this study is that this study only used three ERP software programs as alternatives and this study focuses only for the small and medium-sized retailers in Jakarta.

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A Model For Selecting An Erp System With Triangular Fuzzy Numbers And Mamdani Inference

Cited by 5 publications

References 26 publications

Development of Fuzzy Decision Support System (FDSS) Procedures to Best Select e-Learning Solution

Development of Fuzzy Decision Support System (FDSS) Procedures to Best Select e-Learning Solution

Implementing Fuzzy Logic and AHP into the EFQM model for performance improvement: A case study

ERP Software Selection Model for Small and Medium-Sized in Retail Sector Using Analytic Network Process

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