TY - GEN
T1 - Fuzzy Maturity Model for Transformative Procurement Readiness
T2 - 43rd IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2024
AU - Althabatah, Areej
AU - Yaqot, Mohammed
AU - Padmanabhan, Regina
AU - Kerbache, Laoucine
N1 - Publisher Copyright:
© IFIP International Federation for Information Processing 2024.
PY - 2024/9/7
Y1 - 2024/9/7
N2 - In today’s dynamic business environment, transformative procurement is essential for organizations to adapt to changing market conditions and maintain competitiveness. While the Procurement 4.0 notion is still in its early stages, it is essential for large, medium, and small-sized enterprises, particularly in the energy sector, to possess a certain level of maturity in order to initiate the deployment of innovative and sophisticated procurement operations. Therefore, this work proposes the development of a fuzzy-rule-based model to assess the maturity level of procurement. This is accomplished through the creation of a fuzzy expert system that relies on criteria derived from four primary Procurement 4.0 components: modularity, resilience, agility, and human-centricity. Finally, the fuzzy maturity model is validated using a case study involving a company in the energy industry. By leveraging fuzzy logic modeling, the framework accommodates the inherent uncertainty and ambiguity in procurement operations, enabling organizations to make more informed decisions and optimize their procurement strategies. Through the case study and empirical validation, this work demonstrates the effectiveness of the proposed framework in enhancing procurement functions and driving digital transformation in all industrial sectors.
AB - In today’s dynamic business environment, transformative procurement is essential for organizations to adapt to changing market conditions and maintain competitiveness. While the Procurement 4.0 notion is still in its early stages, it is essential for large, medium, and small-sized enterprises, particularly in the energy sector, to possess a certain level of maturity in order to initiate the deployment of innovative and sophisticated procurement operations. Therefore, this work proposes the development of a fuzzy-rule-based model to assess the maturity level of procurement. This is accomplished through the creation of a fuzzy expert system that relies on criteria derived from four primary Procurement 4.0 components: modularity, resilience, agility, and human-centricity. Finally, the fuzzy maturity model is validated using a case study involving a company in the energy industry. By leveraging fuzzy logic modeling, the framework accommodates the inherent uncertainty and ambiguity in procurement operations, enabling organizations to make more informed decisions and optimize their procurement strategies. Through the case study and empirical validation, this work demonstrates the effectiveness of the proposed framework in enhancing procurement functions and driving digital transformation in all industrial sectors.
KW - Fuzzy modeling
KW - Industry 4.0
KW - Maturity level
KW - Procurement 4.0
KW - Transformative Procurement
UR - https://www.scopus.com/pages/publications/85204517648
U2 - 10.1007/978-3-031-71633-1_3
DO - 10.1007/978-3-031-71633-1_3
M3 - Conference contribution
AN - SCOPUS:85204517648
SN - 9783031716324
T3 - IFIP Advances in Information and Communication Technology
SP - 32
EP - 47
BT - Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments - 43rd IFIP WG 5.7 International Conference, APMS 2024, Proceedings
A2 - Thürer, Matthias
A2 - Riedel, Ralph
A2 - von Cieminski, Gregor
A2 - Romero, David
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 8 September 2024 through 12 September 2024
ER -