An enterprise resource planning (ERP) system is an integrated software solution, typically offered by a vendor as a package that supports the seamless integration of all the information flowing through a company. Business information systems is an area of the greatest significance in any business enterprise today. ERP projects are a growing segment of this vital area. The objective of customization in ERP implementation is to achieve a fit between the ERP system and the process that the system supports. Widespread literature review has been done to study the issues in ERP implementation. Customization is found to be the major annoyance in most of the ERP projects. Literature review also shows that the AHP is the preeminent slant among the various methodologies applied to ERP projects in the past for prioritizing the attributes. Hence, in this paper we have applied the analytical hierarchy process (AHP) to a framework for evaluating ERP implementation choices. The upshot of the study is the identification of various customization possibilities for ERP implementation. This study is meant to help managers think about the various feasible customization options available to them. The application of AHP to the framework is exemplified and the epitome of findings is discussed. Future research work that can be done in customization is also indicated.

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Enterprise Resource Planning (ERP) projects appear to be a dream come true. This study evaluates ten ERP projects based on their productivity using Data Envelopment Analysis (DEA). The results of the DEA for preeminent ERP projects are uploaded into a project database. Regression analysis is then applied to the data in the project database to predict the efforts required for new ERP projects to acquire high productivity. Extensive literature survey shows that the DEA is the preeminent slant to evaluate ERP projects. The upshots of the study are: (1) Function Points (FP) and project efforts are the performance indicators of the ERP projects from the viewpoint of software engineering; (2) Lines of Code (LOC) have considerable influence over the efficiency of ERP projects; and (3) DEA, in combination with regression analysis, produces fruitful results for the ERP projects. Future directions in the performance enhancement of ERP projects are also indicated.

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