Contemporary companies and their complex supply chains are continuously exposed to a variety of external and internal risks, which creates an imperative to shift from traditional, reactive behavior toward a model of proactive planning. In this context, the Sales and Operations Planning (S&OP) process has emerged as a key mechanism that enables the alignment of often conflicting goals across different business functions through integrated supply and demand planning. Its fundamental value lies in its ability to simultaneously achieve horizontal integration by breaking down traditional functional barriers between sales, operations, and finance, and vertical integration which ensures a direct link between long-term strategic goals and concrete operational decisions. To gain a deeper understanding of research trends in the field of S&OP, this paper analyzes scientific paper abstracts using the Latent Dirichlet Allocation (LDA) method.

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Abay, Y., Kaihara, T., & Kokuryo, D. (2024). A discrete-event simulation study of multi-objective sales and operation planning under demand uncertainty: A case of the Ethiopian automotive industry. International Journal of Automation Technology, 18(1), 135–145. https://doi.org/10.20965/ijat.2024.p0135

Amico, C., & Cigolini, R. (2023). Enhancing sales and operations planning via integrated business planning. Proceedings of the Summer School Francesco Turco.

Bozutti, D. F., & Esposto, K. F. (2019). Sales and operations planning: A comparison between the demand-driven and traditional approaches. International Journal of Production Management and Engineering, 7(1), 23. https://doi.org/10.4995/ijpme.2019.9469

Fahimnia, B., Arvan, M., Tan, T., & Siemsen, E. (2023). A hidden anchor: The influence of service levels on demand forecasts. Journal of Operations Management, 69(5), 856–871. https://doi.org/10.1002/joom.1229

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Kim, S., & Shin, K. (2024). Comparative analysis of key success factors in S&OP: Focusing on manufacturing and retail industry in South Korea. Systems, 12(6), 202. https://doi.org/10.3390/systems12060202

Nemati, Y., Madhoshi, M., & Ghadikolaei, A. S. (2017). The effect of sales and operations planning (S&OP) on supply chain’s total performance: A case study in an Iranian dairy company. Computers & Chemical Engineering, 104, 323–338. https://doi.org/10.1016/j.compchemeng.2017.05.002

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Thomé, A. M. T., Scavarda, L. F., Fernandez, N. S., & Scavarda, A. J. (2012). Sales and operations planning and the firm performance. International Journal of Productivity and Performance Management, 61(4), 359–381. https://doi.org/10.1108/17410401211212643

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