ERP Software Selection Model using Analytic Network Process

Lesmana, Andre Surya and Astanti, Ririn Diar and Ai, The Jin (2014) ERP Software Selection Model using Analytic Network Process. In: International Symposium on AHP (ISAHP 2014), June 29th - July 4th 2014, Washington DC.

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Abstract

During the implementation of Enterprise Resource Planning (ERP) in any company, one of the most important issues is the selection of ERP software that can satisfy the needs and objectives of the company. This issue is crucial since it may affect the duration of ERP implementation and the costs incurred for the ERP implementation. This research tries to construct a model of the selection of ERP software that are beneficial to the company in order to carry out the selection of the right ERP software vendors according to the needs and objectives of the company. The proposed ERP software selection model is constructed based on three different perspectives, that are business, technology, and organizational perspectives. Each perspective consists of various criteria needed to be considered in the selection of ERP software. The proposed model is built over four clusters, which are Business Perspective (Cost, Quality, Vendor Status, Customization), Technological Perspective (Functionality, Duration of Implementation, User Friendliness, Software Update), Organizational Perspective (Training, Employee Needs, Company Culture, Human Resistance), and Vendor Alternative (Vendor A, Vendor B, Vendor C). Since this problem of ERP software selection is involving many criteria and there exist dependency among criteria, the ERP software selection model is constructed based on the Analytic Network Process methodology. The Super Decision software is used in this research for solving the model using an illustrative example from an automotive finance company in Indonesia.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Analytic Network Process, Multi Criteria Decision Making, Enterprise Resource Planning, Software Selection.
Subjects: Teknik Industri > Sistem Manufacturing
Divisions: Fakultas Teknologi Industri > Teknik Industri
Depositing User: Editor UAJY
Date Deposited: 07 Sep 2016 09:37
Last Modified: 03 Jul 2019 07:13
URI: http://e-journal.uajy.ac.id/id/eprint/10275

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