Preview

Siberian Financial School

Advanced search

Planning the activities of a metallurgical company based on the integration of S&OP and CPFR

https://doi.org/10.34020/1993-4386-2023-3-199-206

Abstract

Supply chain management of large metallurgical companies is complicated by working in conditions of risk and high uncertainty of activity. The traditional planning system does not allow for sufficient consistency and synchronization of the plans of structural units with each other and with the external environment of interaction. Based on the analysis of the economic planning management of the leading companies in the industry, it was found that the integrated planning system of the company currently contributes to solving these problems. The authors propose its formation based on the use of two information practices: S&OP (sales and operations planning) and CPFR (collaborative planning, forecasting, and replenishment with trading partners).

Planning the activities of a metallurgical company based on the integration of S&OP and CPFR will allow: to increase the accuracy of forecasts of demand for the range of products offered; to more effectively manage the stocks of raw materials, rolled products and metal products; to improve coordination between the functional areas of the company; to provide flexibility in production planning.

At the same time, the transformation of the planning and economic practice of a metallurgical company should take into account the risks of emerging difficulties in collecting and exchanging big data with counterparties, errors in forecasting indicators, as well as coordination of plans between integration participants, restructuring of business processes and organizational cultures of partners.

About the Authors

O. P. Chernikova
Siberian State Industrial University
Russian Federation

Oksana P. Chernikova – Candidate of Economic Sciences, Associate Professor, Head of the Department of Economics, Accounting and Finance

Novokuznetsk



A. A. Tushev
Siberian State Industrial University
Russian Federation

Alexey A. Tushev – master's student

Novokuznetsk



References

1. Glushakova O.V., Chernikova O.P., Strekalova S.A. Integral assessment of the effectiveness of the implementation of corporate strategies by ferrous metallurgy enterprises, Izvestiya vysshikh uchebnykh zavedenii. Chernaya metallurgiya, 2020, Vol. 63, No. 5, pp. 379-388. DOI: 10.17073/03680797-2020-5-379-388 (In Russ.).

2. Chernikova O.P., Zlatitskaya Yu.A. Resource efficiency of metallurgical production, Izvestiya vysshikh uchebnykh zavedenii. Chernaya metallurgiya, 2022, Vol. 65, No. 6, pp. 390-398. DOI: 10.17073/0368-0797-2022-6-390-398 (In Russ.).

3. Zaalouk A., Moon S., Han S. Operations planning and scheduling in off-site construction supply chain management: Scope definition and future directions. Automation in Construction. 2023. Vol. 153. Article 104952. DOI: 10.1016/j.autcon.2023.104952

4. Sali M., Ghrab Y., Chatras C. Optimal product aggregation for sales and operations planning in mass customisation context. International Journal of Production Economics. 2023. June. Vol. 263. Article 108948. DOI: 10.1016/j.ijpe.2023.108948

5. Pereira D.F., Oliveira J.F., Carravilla M.A. Merging make-to-stock/make-to-order decisions into sales and operations planning: A multi-objective approach. Omega. 2021. October. Vol. 107. Article 102561. DOI: 10.1016/j.omega.2021.102561

6. Andres B., Poler R., Sanchis R. A data model for collaborative manufacturing environments. Computers in Industry. 2021. Vol. 126. Article 103398. DOI: 10.1016/j.compind.2021.103398

7. Jansen J., Kaledinova E., Wolter A. The use of cloud technology for sustainable performance of international supply chains: A case study. Transportation Research Procedia. 2022. Vol. 64. pp. 224-231. DOI: 10.1016/j.trpro.2022.09.027

8. Karimi M., Zaerpour N. Put your money where your forecast is: Supply chain collaborative forecasting with cost-function-based prediction markets. European Journal of Operational Research. 2021. Vol. 300, Issue 3. pp. 1035-1049. DOI: 10.1016/J.EJOR.2021.09.013

9. Xu X., Choi T., Guo S. Collaborative-commerce in supply chains: A review and classification of analytical models. International Journal of Production Economics. 2023. Vol. 263. Article 108922. DOI: 10.1016/j.ijpe.2023.108922


Review

For citations:


Chernikova O.P., Tushev A.A. Planning the activities of a metallurgical company based on the integration of S&OP and CPFR. Siberian Financial School. 2023;(3):199-206. (In Russ.) https://doi.org/10.34020/1993-4386-2023-3-199-206

Views: 212


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 1993-4386 (Print)