The goal of holistic supply chain optimization is to coordinate all relevant functional areas of a company in such a way that costs are minimized, throughput times are reduced, and customer satisfaction is increased. To achieve this, several key elements must be taken into account and harmonized:
Planning systems and processes
Sales and inventory planning: Accurate forecasts of demand and inventory levels are essential to avoid overstocking or understocking. Scenario analyses, safety stocks, service level definitions, and portfolio management play a key role here.
Demand and capacity planning (sales and operations planning, SOP): Integration of sales, production, procurement, and finance to ensure a realistic margin between demand forecasts and operational capacity. Regular coordination allows bottlenecks to be identified early and countermeasures to be coordinated.
Production and procurement planning: Long-term and medium-term planning of production capacities, batch sizes, delivery dates, and procurement strategies. The goal is to achieve a balance between costs, flexibility, and delivery reliability.
Order management and order-to-cash (O2C)
Order processing: From order entry and resource planning to picking, packing, and shipping. Transparent status information throughout the entire process increases customer satisfaction.
Working capital and cash flow implementation: Optimization of accounts receivable terms, payment terms, and invoice processing to secure liquidity.
Customer service and transparency: Real-time tracking, clear delivery windows, and proactive change management when needed.
Lean supply chain approach in inbound, intra, and outbound
Reduction of unnecessary handling and inventory stages: Flow-oriented logistics principles, Kanban systems, just-in-time delivery, and minimization of detours reduce costs and error rates.
Inbound logistics: Optimization of procurement, goods receipt, and quality assurance to identify surpluses or bottlenecks at an early stage. Intra-logistics: Warehouse logistics, order picking, packaging, and internal transport are designed synergistically to reduce throughput times.
Outbound logistics: Shipping logistics, distribution, last-mile delivery, and returns processing, taking into account delivery reliability and costs.
Holistic integration and design approaches
Big-picture approach: The starting point is a clear vision of the overall planning, followed by a detailed analysis of all relevant planning and control processes.
Process and value stream design: Value stream design methods are used to streamline material flows, identify bottlenecks, and eliminate waste.
End-to-end optimization: Consistent optimization requires reliable data, standardized processes, and close integration of planning, execution, and controlling.
Knowledge, data, and IT support
Information and material flow knowledge: Successful optimization is based on a deep understanding of how data is generated, transformed, and used, as well as on robust material flow concepts.
Planning and control: Competence in the holistic coordination of demand, capacity, production, and distribution is crucial.
ERP and SCM systems: The respective applications must not only function, but also communicate seamlessly with each other. Interfaces (APIs, EDI, integrative modules) and data models must be consistent and up-to-date in order to support real-time analyses and simulation-based decisions.
Data quality: A clean, consistent database is a prerequisite for accurate forecasts, optimizations, and dashboards.
Methods, tools, and metrics
Modeling and simulation: Scenario analyses, Monte Carlo simulations, and network simulations help to understand potential risks and test strategies.
Lean and supply chain design methods: Principles such as value stream mapping, kaizen, takt times, and pull principles support the reduction of waste.
Other current consulting topics in supply chain management
Competitive supply chain solutions in online retail (e-commerce)
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Supply chain network design with the Log-hub, KNIME & Tableau tool suite
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