Experiential Supply Chain Analytics Problems for Sales and Operations Planning
Year: 2024
Type: article
Abstract: Sales and Operations Planning (S&OP) requires structured experiential problems that allow analysts, managers, and executives to explore how sales forecasts, supply constraints, and operational decisions interact across the end-to-end supply chain. This paper introduces a set of experiential supply chain analytics problems that illustrate key quantitative elements of S&OP, including procurement and transportation of components, production and inventory management, and the alignment of finished goods availability with sales targets. The problems are organized into a three-stage framework that progresses from fragmented transactional planning in disjoint spreadsheets to optimization-based decision analytics using mathematical models and finally to collaborative experimentation through a multi-user cloud-based simulation tool. Together, these experiential problems provide a practical environment for evaluating alternative sales plans, testing operational responses, and understanding the trade-offs and coordination requirements inherent in S&OP.
Author: For Double-Blind Peer Review
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6912162301
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