Evaluating Supply Chain Efficiency in Algerian Chemical Firms: A Focus on Scor Performance Indicator
khayreddine BELAAZE
University20 august 1955 of Skikda – Algeria
https://orcid.org/0009-0000-4665-7508
Marwa Naceur
University20 august 1955 of Skikda – Algeria
Nadjet Lechehb
University20 august 1955 of Skikda – Algeria
ABSTRACT
This study evaluates the efficiency of supply chain management within the Algerian petrochemical sector, focusing on the CP2K Plastic Comple. The research operationalizes the Supply Chain Operations Reference (SCOR) model to assess supply chain performance across its five core attributes: reliability, responsiveness, agility, cost, and asset management. data were collected through semi-structured interviews and analysis of official documentation and statistical records. The findings reveal that the CP2K complex demonstrates high reliability in order fulfillment. Responsiveness and agility are evidenced by short order fulfillment cycle times and relative flexibility in production volume adjustments, though unplanned stoppages due to equipment failure and resource shortages highlight operational vulnerabilities. The study confirms that the SCOR model provides a comprehensive and applicable framework for measuring supply chain performance in this context. However, findings also underscore the complex's reliance on imported raw materials and exposure to global supply chain disruptions, as well as the absence of advanced technological integration.
Downloads
References
Estampe, D., Lamouri, S., Paris, J. L., & Brahim-Djelloul, S. (2013). A framework for analysing supply chain performance evaluation models. International journal of production economics, 142(2), 247-258. doi:https://doi.org/10.1016/j.ijpe.2010.11.024
Lai, K. H., Ngai, E. W., & Cheng, T. C. (2002). Measures for evaluating supply chain performance in transport logistics. Transportation Research Part E: Logistics and Transportation Review, 38(6), 439-456. doi:https://doi.org/10.1016/S1366-5545(02)00019-4
Lambert, D. M., & Cooper, M. C. (2000). Issues in supply chain management. Industrial marketing management, 29(1), 65-83. doi:https://doi.org/10.1016/S0019-8501(99)00113-3
Liang, L., Yang, F., Cook, W. D., & Zhu, J. (2006). DEA models for supply chain efficiency evaluation. Annals of operations research, 145(1), 145(1), 35-49. doi:https://doi.org/10.1007/s10479-006-0026-7
Mentzer, J. T., DeWitt, W., Keebler, J. S., Min, S., Nix, N. W., Smith, C. D., & Zacharia, Z. G. (2001). Defining supply chain management. Journal of Business logistics, 22(2), 1-25. doi:https://doi.org/10.1002/j.2158-1592.2001.tb00001.x
Nikfarjam, H., Rostamy-Malkhalifeh, M., & Mamizadeh-Chatghayeh, S. (2015). Measuring supply chain efficiency based on a hybrid approach. Transportation Research Part D: Transport and Environment, 39, 141-150. doi:https://doi.org/10.1016/j.trd.2015.06.004
Reiner, G., & Hofmann, P. (2006). Efficiency analysis of supply chain processes. International journal of production research, 44(23), 5065-5087. doi:https://doi.org/10.1080/00207540500515123
Tan, K. C. (2001). (A framework of supply chain management literature. European journal of purchasing & supply management, 7(1), 39-48. doi:https://doi.org/10.1016/S0969-7012(00)00020-4
Thomas, D. J., & Griffin, P. M. (1996). Coordinated supply chain management. European journal of operational research, 94(1), 1-15. doi:https://doi.org/10.1016/0377-2217(96)00098-7
This work is licensed under a Creative Commons Attribution 4.0 International License.
_(1).png){kind=small}
.svg_1.jpg){kind=small}
.png)
