open access publication

Article, 2023

Framing business cases for the success of product configuration system projects

Computers in Industry, ISSN 0166-3615, 1872-6194, Volume 146, Page 103839, 10.1016/j.compind.2022.103839

Contributors

Shafiee, Sara 0000-0001-9433-5060 (Corresponding author) [1] Sandrin, Enrico [2] Forza, Cipriano 0000-0003-4583-2962 [2] Kristjansdottir, Katrin 0000-0003-2036-7398 [1] Haug, Anders 0000-0001-6173-6925 [3] Hvam, Lars 0000-0002-7617-2971 [1]

Affiliations

  1. [1] Technical University of Denmark
  2. [NORA names: DTU Technical University of Denmark; University; Denmark; Europe, EU; Nordic; OECD];
  3. [2] University of Padua
  4. [NORA names: Italy; Europe, EU; OECD];
  5. [3] University of Southern Denmark
  6. [NORA names: SDU University of Southern Denmark; University; Denmark; Europe, EU; Nordic; OECD]

Abstract

Product configuration systems (PCSs) are peculiar IT applications used for efficient product customization. Unfortunately, PCS implementation involves many challenges. A well-defined business case (BC) could increase PCS project success. However, the literature does not provide specific guidance for building BCs for PCS projects. The proposed BC framework for PCS projects was developed based on literature and professional expertise, and tested in three PCS projects at two engineer-to-order (ETO) companies. Figures of benefits, costs, ROIs, scenario examples, sensitivity analyses, risk analyses, and key information about application experiences were reported. The framework test shows that it is viable and helps overcome PCS challenges.

Keywords

BC framework, IT applications, PCS projects, ROI, analysis, applications, benefits, business, business case, cases, challenges, companies, configuration system, cost, customers, engineer-to-order, experiments, expertise, figures, framework, framework testing, guidance, implementation, information, literature, product configuration system, product customization, production, professional expertise, project, project success, risk, risk analysis, sensitivity, sensitivity analysis, success, system, test

Data Provider: Digital Science