فایل ورد کامل سیستم پشتیبانی تصمیم گیری فازی مبتنی بر AHP برای انتخاب سیستم های ERP در صنعت نساجی با استفاده از کارت امتیازی متوازن

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تعداد صفحات این فایل: ۳۰ صفحه

بخشی از مقاله انگلیسیعنوان انگلیسی:Fuzzy AHP-based decision support system for selecting ERP systems in textile industry by using balanced scorecard~~en~~

Abstract

An enterprise resource planning system (ERP) is the information backbone of a company that integrates and automates all business operations. It is a critical issue to select the suitable ERP system which meets all the business strategies and the goals of the company. This study presents an approach to select a suitable ERP system for textile industry. Textile companies have some difficulties to implement ERP systems such as variant structure of products, production variety and unqualified human resources. At first, the vision and the strategies of the organization are checked by using balanced scorecard. According to the company’s vision, strategies and KPIs, we can prepare a request for proposal. Then ERP packages that do not meet the requirements of the company are eliminated. After strategic management phase, the proposed methodology gives advice before ERP selection. The criteria were determined and then compared according to their importance. The rest ERP system solutions were selected to evaluate. An external evaluation team consisting of ERP consultants was assigned to select one of these solutions according to the predetermined criteria. In this study, the fuzzy analytic hierarchy process, a fuzzy extension of the multi-criteria decision-making technique AHP, was used to compare these ERP system solutions. The methodology was applied for a textile manufacturing company.

۱ Introduction

ERP systems are becoming more necessary for almost every firm to improve the competitiveness. According to the success of the implementation of ERP system; companies can obtain a competitive advantage in the global market rapidly. Over the past decade, many ERP projects have resulted in substantial tangible and intangible improvements in a variety of areas for the organizations (Davenport, 2000; Umble, Haft, & Umble, 2003; Yusuf, Gunasekaranb, & Abthorpe, 2004). However, there are a number of examples where organizations were not successful in reaping the potential benefits that motivated them to make large investments in ERP implementations (Davenport, 2000; Umble et al., 2003).

Implementations of ERP systems are one of the most difficult investment projects because of the complexity, high cost and adaptation risks. Companies have spent billions of dollars and used numerous amounts of man-hours for installing elaborate ERP software systems (Yusuf et al., 2004). A successful ERP project involves selecting an ERP software system and co-operative vendor, implementing this system, managing business processes change and examining the practicality of the system (Wei & Wang, 2004). Karsak and zogul (2009) presented a novel decision framework for ERP software selection, employing quality function deployment, fuzzy linear regression and zero–one goal programming. Teltumbde (2000) proposed a methodology based on the nominal group technique and the AHP for evaluating ERP systems. Chang et al. (2008) proposed a neural network evaluation model for ERP performance from SCM perspective. The survey data was gathered from a transnational textile firm in Taiwan (Table 4).

Determining the best ERP software that fits with the organizational necessity and criteria, is the first step of tedious implementation process. Hence, selecting a suitable ERP system is an extremely difficult and critical decision for managers. An unsuitable selection can significantly affect not only the success of the implementation but also performance of the company. However, many companies install their ERP systems hurriedly without fully understanding the implications for their business or the need for compatibility with overall organizational goals and strategies (Hicks & Stecke, 1995).

The result of this hasty approach is failed projects or weak systems whose logic conflicts with organizational goals. This paper aims:

to manage the early stages of ERP selection according to the vision and strategies by using balanced scorecard and

to provide an analytical tool to select the most suitable ERP software for textile industry.

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