Implementation of the AHP Method in ERP-Based Decision Support Systems for a New Product Development

  • Sławomir KłosEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 538)


Effective management of R&D projects determines the competitiveness of manufacturing enterprises. The proper choice of product prototypes that might be manufactured and sold forms part of the critical, strategic decisions of each company. These decisions have a direct impact on the financial results of the enterprise, development possibilities and its competitive position. Depending on the size and characteristics of companies, an enterprise can make a variety of decisions annually, from a few to several dozen, regarding the introduction of new products into production. Therefore, the development of a decision support system for the selection of the best prototypes is very important especially for manufacturing enterprises that bring many new products onto the market. The decision support system should be based on an analysis of technical and business factors of new products and enable the improvement of effectiveness and reduce decision time. To automate the process of decision-making the data required for the decision support system should be acquired from the ERP (enterprise resource system). The proposed decision support system is based on the AHP method. An illustrative example is given.


Analytical hierarchy process (AHP) Product research and development Enterprise resource planning system (ERP) Product lifecycle management (PLM) 


  1. 1.
    Kłos, S., Trebuna, P.: Using the AHP method to select an ERP system for an SME manufacturing company. Manage. Prod. Eng. Rev. 5(3), 14–22 (2014)Google Scholar
  2. 2.
    Patalas-Maliszewska, J.: Managing Knowledge Workers: Value Assessment. Methods and Application Tools. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  3. 3.
    Patalas-Maliszewska J., Kłos S., Model evaluation of the effectiveness of business processes in terms of managing knowledge workers. Pomiary Automatyka Robotyka 2, 143–146 (2013)Google Scholar
  4. 4.
    Saaty, T.L.: The Analytic Hierarchy Process. McGraw-Hill, New York (1980)zbMATHGoogle Scholar
  5. 5.
    Silventoinen, A., Papinniemi, J., Lampela, H.: A roadmap for product lifecycle management implementation in SMEs. In: XX ISPIM Conference (2009)Google Scholar
  6. 6.
    Sudarsan, R., Fenves, S.J., Sriram, R.D., Wang, F.: A product information modeling framework for product lifecycle management. Comput. Aided Des. 37(13), 1399–1411 (2005)CrossRefGoogle Scholar
  7. 7.
    Wei, C.C., Wang, M.J.J.: A comprehensive framework for selecting an ERP system. Int. J. Project Manage. 22, 161–169 (2004)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Department of Computer Science and Production ManagementUniversity of Zielona GóraZielona GóraPoland

Personalised recommendations