Development and implementation of a methodological framework for evaluating critical success factors in large supply chain projects

This thesis focuses on the identification, evaluation, and prioritization of Critical Success Factors (CSFs) that influence the successful implementation of large-scale supply chain projects in Fast Moving Consumer Goods (FMCG) companies. In today’s dynamic and highly competitive business environment, FMCG organizations are required to manage multiple and diverse supply chain projects simultaneously, ranging from infrastructure and operational initiatives to digitally enabled transformation projects. Within this context, understanding which factors most strongly drive project success is essential for effective decision-making and resource allocation. To address this objective, the study develops and applies a methodological framework based on the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Thirteen Critical Success Factors were identified through an extensive literature review and subsequently evaluated using a five-point Likert scale by experienced professionals involved in supply chain projects at a multinational company. The empirical analysis examined four distinct supply chain projects. The quantitative findings are further enriched by qualitative insights obtained through semi-structured interviews, which emphasize the role of practical management mechanisms such as maintaining a strong project “drumbeat,” effective communication routines, and continuous monitoring of benefits. Together, these results suggest that a one-size-fits-all approach to supply chain project management is ineffective. Instead, FMCG companies should tailor governance structures, managerial focus, and resource allocation according to the specific characteristics of each project. Overall, this thesis contributes to both academic research and managerial practice by proposing a structured, data-driven approach for evaluating critical success factors in supply chain projects.