Strategic Supply Chain Trade-Offs and Optimisation Using AI

Explore how manufacturing, inventory, procurement, and sales interact with finance to balance cost, stock, and service levels across the supply chain, and learn strategies for AI-driven trade-offs.

Identify supply chain trade-offs with ai-driven simulations to test scenarios and improve decision making, balancing risk and reward under business leadership while evolving from rule-based ERP to heuristic ai optimization.

Finance powers strategic supply chain decisions by highlighting cash as the lifeblood, linking cash flow, working capital, and cost of capital to inventory, procurement, and production.

Balance unit price, volume, supplier reliability, lead times, and inventory spaces to optimize cost of goods sold and risk, while considering just-in-time and economic order quantity.

Learn how inbound transportation in procurement covers supplier pickups, factory-to-DC movements, and customer collections, and weigh consolidation against cost and waiting time.

Explore how an ERP like SAP supports procurement through master data, info records, and source lists, enabling material requirement planning, vendor evaluation, and inventory optimization via analytics and standardized processes.

Explore manufacturing strategies make to stock and make to order, and how stock levels, raw materials, work in progress, semi-finished and finished goods connect through bill of materials and recipes.

Explore manufacturing trade-offs from inbound raw materials to finished goods, balancing stock, stability, and costs while aligning procurement, working capital, and steady production.

Explore inventory strategy by balancing stock and holding costs across raw materials, finished goods, indirect materials, while demand from customers and forecasts drive material requirements planning and make-to-stock versus make-to-order.

Demand drives procurement, capacity planning, and safety stock reviews, while reorder points and MRP calculations determine production and raw material orders, optimizing the stock-to-service ratio.

Explore forecasting strategies like reorder point, demand driven replenishment, and forecast based planning. Map them to SAP planning types for inventory alignment with demand.

Balance sales and transportation trade-offs in the value chain by optimizing delivery time, service levels, and costs, using warehouse throughput and otif as guiding metrics.

Explore how multimodal and single-modal transport options influence pricing, capacity, and service levels, and how milk runs, space or weight pricing, and lane contracts shape cost versus delivery speed.

Examine supply chain nodes and the transport network, from factory clustering and regional hubs to distribution centers, and use AI-driven what-if simulations to optimize delivery times and milk runs.

Assess and mitigate supply chain risks by analyzing raw materials, production, and distribution flows, and consider nearshoring, onshoring, and diversification to reduce geopolitical, regulatory, and cost pressures.

Identify four key mitigation considerations—lead time, compliance, flexibility, and location risk—while illustrating how disruptions, costs, and regulatory constraints shape pharmaceutical supply chains.

Analyze how energy costs and logistics influence production locations for glass bottles, plastics, and electronics, including near-to-demand manufacturing and finishing centers. Discuss mitigation strategies and the limits of diversification.

Explore the manufacturing and procurement trade-off, balancing cost, inventory, and capital through levers like capacity, batch sizes, subassemblies, and outsourcing.

Explore supplier risk, dual sourcing, and total cost of ownership to balance cost and risk. Learn through simulations how trade-offs between cost, visibility, inventory, and just-in-time processes shape procurement strategy.

Explore the strategic trade-offs between manufacturing and inventory, contrasting make-to-order versus make-to-stock, and learn how forecasts and customer orders drive production in SAP contexts.

Explore how forecast accuracy influences lean stock, stockouts, and holding costs, and how demand drivers, bullwhip effects, safety stock, and reorder points shape make-to-stock decisions and backlogs.

Balance stock and service by optimizing batch size, safety stock, and postponement strategies to trade off availability with capital costs and manufacturing flexibility.