Abstract:
An enterprise resource planning (ERP) software is needed for industries and companies that want to develop in future. Many of the manufactures and companies have a problem with ERP software selection. An inappropriate selection process can affect both the implementation and the performance of the company significantly. Although several models are proposed to solve this problem many of them did not consider uncertainty as an effective environmental factor. In the current paper a new model is designed. This model is based on balanced score card (BSC) and in addition, uncertainty is considered. This paper used three-parameter interval grey numbers concept that derived from Grey-theory in order to reduce uncertainty. Beside, hybrid model for weighting based on Shapley and Entropy methods are used. This combination approach is also because of reducing uncertainty. And at the end, a new method named projection attribute function method is used for ranking. There is a case study at the end of this paper that shows how this model works
Machine summary:
Keywords: Balanced Score card (BSC), Enterprise resource planning (ERP), Projection attribute function method, Shannon entropy, Shapley value INTRODUCTION Nowadays modern organizations operate in an economic environment where customer demands are continuously change and increases as there are unpleasant conditions (Yazgan et al.
A hybrid model based on Game-Entropy- projection attribute function method over three parameter interval grey numbers with BSC approach is introduced in the present paper.
Preliminaries BSC The need for performance measurement systems at different levels of decision making, either in the industry or service contexts, is undoubtedly not something new (Bititici, Cavalieri, & Cieminski, 2005)BSC have been proposed by Kaplan and Norton (Kaplan and Norton, 1992) (Kaplan and Norton, Using the balanced scorecard as a strategic management system, 1996) This means evaluates performance by four different perspectives: the financial, the internal business , the customer, and the innovation and learning (Kumar and Bhagwat, 2007).
Table 1: Goals and their own perspectives Aspects Goals Efficiency Increasing Financial Costs Optimizing Achive to Competetive Price Costomer Satisfaction Customer Holding Customer Internal business process Comfortable Access New Market Recognition Adoptability Flexibility Standard of Production Quality Increasing Safety and Security Supporting Learning and growth Traning Knowledge Based Process Table 2: Alternatives and their values Financial Customer Internal business process Learning and growth Oracle Medium Weak Very Strong Weak Sage Strong Medium Strong Medium MFG Medium Strong Weak Medium Table 3: Linguistic variables and their equal three parameter interval grey numbers Very weak (0.
Table 4: Coalition values V({})=V({Financial})=V({Customer})=V({Internal business process })=V({Learning and growth })=0 V({Financial,Customer})=0.