Modelo Integral 5d's, diagnnstico empresarial y tecnollgico para evaluar la pertinencia y selecciin de un sistema ERP (5D's Integral Model, Business and Technological Diagnosis to Evaluate the Appropriateness and Selection of an ERP System)

2013 ◽  
Author(s):  
Jenny Paola Mancera ◽  
Cristian Fabian Hernandez
2012 ◽  
Vol 8 (3) ◽  
pp. 54-73 ◽  
Author(s):  
Ahmad Jafarnejad ◽  
Manoucher Ansari ◽  
Hossein Rahmany Youshanlouei ◽  
Mohammad Mood

Selecting a proper system of Enterprise Resource Planning (ERP) is a major challenge for enterprise managers. Heavy expenses of incorrect decisions in selection of ERP systems have made academics and managers consider this phase as highly important. Several research studies proposed different approaches to selecting the ERP and many case studies of organizational experiences have been published. However, there has been less regard for simultaneous use of the findings of academic studies and judgments of industrial experts or organization mangers for making the most appropriate choice. This study proposes a combined multiple-criteria decision-making (MCDM) approach through which both previous studies and judgments of industrial experts or organization managers would be integrated in order to select the proper ERP system. Having studied the literature comprehensively and conducted interviews with experts and managers, this approach will determine the most important criteria in ERP selection using Shannon entropy technique. Then, based on the judgments obtained from experts and using DEMATEL technique, these criteria will be classified into the two groups of “Cause” and “Effect” and the most appropriate choice will be selected using Fuzzy AHP technique. Finally, a case study is conducted to demonstrate and prove the applicability of the proposed approach.


2019 ◽  
pp. 481-489 ◽  
Author(s):  
Tatyana Shitova

Contemporary ERP systems have various applications. Today, they are successfully used both in material value adding areas and in services rendering / work performance areas. Taking into account the business’ specific features is crucial for selection of software that will automate the activities of each organizational structural unit and the enterprise as a whole. The task of selecting and implementing contemporary ERP systems for business management requires conducting detailed analysis to identify the advantages and drawbacks of their application, as well as determine economic benefits from application of this information and analytical system. In this research, we relied on methods of economic and comparative analysis and used a systemic approach. The main purpose of research is finding arguments proving the practical value of purchasing an ERP system. The paper presents this research containing information on economic benefits that an enterprise could gain after ERP system implementation. According to the author, using a contemporary information and analytical system makes it possible to solve one of the most important tasks – improve business reliability and controllability through application of contemporary information technologies, which is particularly relevant as enterprise management procedures are growing ever more complicated.


2019 ◽  
Vol 18 (06) ◽  
pp. 1875-1908
Author(s):  
Akshay Hinduja ◽  
Manju Pandey

ERP system is a software package that integrates and manages all the facets of the business and deeply influences the success of a business endeavor. The increasing competition in the market, rapidly changing demands, and increasing intricacy of business procedures induce enterprises to adopt ERP solutions. Adopting an ERP solution increases synchronization between business activities and reinforces managerial decision-making. However, it also involves a large investment, a significant amount of human resources and time, and risk of failure. Therefore, the selection of an ERP solution is a crucial decision for enterprises. To address this decision-making problem, we propose a four-stage multi-criteria decision-making approach in this paper. Three prevalent MCDM techniques, DEMATEL, IF-ANP, and IF-AHP, are used in different stages of the methodology to achieve better outcomes. The methodology incorporates the intuitionistic fuzzy sets to capture uncertainty and hesitancy involved in decision makers’ judgments. In addition, we develop a novel priority method to derive weights from the intuitionistic fuzzy preference relations. To validate the feasibility of the proposed approach, a case study is carried out on the selection of cloud-based ERP system for SMEs in the Chhattisgarh state of India, which indicates that the proposed four-stage approach effectively handles the ERP selection problem.


2014 ◽  
Vol 5 (3) ◽  
pp. 14-22 ◽  
Author(s):  
Sławomir Kłos ◽  
Peter Trebiina

Abstract This paper proposes the application of the Analytic Hierarchy Process method to support decision making regarding the selection of an Enterprise Resource Planning system in a manufacturing company. The main assumption of the work is that the management of the selection of an ERP system should consider that the most important selection criteria are concerned with the functionality of the ERP system. Besides this, the aspects of total cost of ownership, technical support and implementation time or vendor experience are taken into consideration to guarantee a successful ERP implementation. The proposed procedure of an ERP system selection is dedicated for small and medium manufacturing enterprises. A structure of attributes for the AHP method is proposed on the basis of an analysis and identification of critical success factors. Different kinds of production (make-to-stock, make-to-order and engineer-to-order are taken into consideration). Illustrative examples are also given.


Author(s):  
Guiwu Wei ◽  
Jie Wang ◽  
Hui Gao ◽  
Cun Wei

In this paper, the multiple attribute decision making (MADM) problems are investigated with picture 2-tuple linguistic information. Then, based on Hamy mean (HM) operator and dual Hamy mean (DHM) operator, the power average and power geometric operations are utilized to develop some picture 2-tuple linguistic power Hamy mean aggregation operators: picture 2-tuple linguistic power weighted Hamy mean (P2TLPWHM) operator, picture 2-tuple linguistic power weighted dual Hamy mean (P2TLPWDHM) operator, picture 2-tuple linguistic power ordered weighted Hamy mean (P2TLPOWHM) operator, picture 2-tuple linguistic power ordered weighted dual Hamy mean (P2TLPOWDHM) operator, picture 2-tuple linguistic power hybrid Hamy mean (P2TLPHHM) operator and picture 2-tuple linguistic power hybrid dual Hamy mean (P2TLPHDHM) operator. The prominent characteristic of these proposed operators are studied. Then, these operators are utilized to develop some approaches to solve the picture 2-tuple linguistic multiple attribute decision making problems. Finally, the proposed method is demonstrated through a practical example for enterprise resource planning (ERP) system selection of how the proposed methods help us and is effective in MADM problems.


2021 ◽  
Vol 13 (19) ◽  
pp. 10616
Author(s):  
Ramona Lacurezeanu ◽  
Alexandru Chis ◽  
Vasile Paul Bresfelean

In the conditions of the pandemic crisis, implementing an enterprise resource planning (ERP) system with a sustainability component represents a crucial investment for a small and medium enterprise (SME) but critical for the organization, if it is not the matching solution. A comprehensive framework for selecting the S–ERP system was elaborated, including a set of relevant criteria for an SME to draw and assess the selection of an ERP system, considering that the factors extracted as well as the importance in the proposed model have been debated for years in the available literature. A methodology based on the brainstorming and questionnaire techniques was proposed in establishing the selection criteria, and the AHP decision analysis method was used for evaluating the weight of the criteria, all these in order to provide a model for ERP selection. This model was tested on a set of numerical, hypothetical, and applied data of the Romanian context. The use of the recommended model shows that it can be applied to improve decisions and decrease the time interval required for S–ERP selection. The results also show that AHP can fulfill the S–ERP selection objective for SMEs and the decisive factors that affect decision–making processes in a systematic way.


2013 ◽  
Vol 9 (2) ◽  
pp. 44-69 ◽  
Author(s):  
Mirian Picinini Méxas ◽  
Osvaldo Luis Gonçalves Quelhas ◽  
Helder Gomes Costa ◽  
Valdir de Jesus Lameira

Information systems have evolved at a continual pace since administrations began to develop greater interest in production processes and supply chains. This created systems like Enterprise Resource Planning (ERP), Material Requirements Planning (MRP), and Manufacturing Resources Planning (MRPII). This research discusses a literature search conducted to map the multicriteria models used to select ERP systems. As a result, this article proposes criteria and subcriteria to be used in the selection of ERP systems. The basic structure is developed around a tree and subcriteria tree that can be used as a checklist for companies wishing to acquire an ERP system.


2016 ◽  
Vol 29 (4) ◽  
pp. 65-81 ◽  
Author(s):  
Maria Manuela Cruz-Cunha ◽  
Joaquim P. Silva ◽  
Joaquim José Gonçalves ◽  
José António Fernandes ◽  
Paulo Silva Ávila

Selecting the best desirable Enterprise Resources Planning (ERP) system has been a critical problem for organizations for a long time, as the failure on the selection process may have a highly negative impact in terms of costs and market share of a company. It is one of the most important decision making issues covering both qualitative and quantitative factors for organization. Multiple-criteria decision-making has been proved to be a useful approach to analyze these conflicting qualitative and quantitative factors. Literature offers proposals and approaches to handle this kind of problem; Analytic Hierarchy Process (AHP) has been applied successfully in most cases of software packages selection problems. This paper proposes an AHP model for the selection of an ERP system. The model's set of criteria was extracted from the literature review and validated by Portuguese organizations. This model can be applied in the ERP system selection using a software application that is under development. This software application eases the application of the AHP process to the selection of ERP packages and will provide input from real-world cases that will allow updating and refining the model.


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