Procurement Performance Metric Selection Using SCOR Modelling and Scenario-Based Fuzzy Cognitive Map
Küçük Resim Yok
Tarih
2023
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Science and Business Media Deutschland GmbH
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The present study investigates a company's procurement process with a weak performance measurement and management system in its supply chain. The challenge in evaluating the customer-specific engineer-to-order projects in the case company prompted the use of SCOR modelling as a standardization tool to analyze the supply chain processes and metrics. The selection of performance metrics is a dynamic process that needs to be updated based on changing company needs. However, the complex relationships between metrics make it difficult for stakeholders to predict their impact on results. To address this, we utilized scenario-based Fuzzy Cognitive Maps to prioritize important SCOR metrics and fuzzy numbers in our evaluations to account for the inherent fuzziness in procurement processes. To the best of our knowledge, this is the first study to evaluate the trade-offs between procurement performance metrics using SCOR modelling. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Açıklama
Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference -- 22 August 2023 through 24 August 2023 -- Istanbul -- 299549
Anahtar Kelimeler
Fuzzy Cognitive Map, Performance Measurement, Procurement, SCOR
Kaynak
Lecture Notes in Networks and Systems
WoS Q Değeri
Scopus Q Değeri
Q4
Cilt
759 LNNS
