Introduction: What is supply chain management – Global optimization – managing uncertainty – Why supply chain management – key issues in supply chain management – supply chain performance – achieving strategic fit.
Logistics Network Configuration: Introduction – data collection – data aggregation – Transportation rates – mileage estimation – warehouse costs – warehouse capacities – potential warehouse locations – service level requirements – future demand – model and data validation – solution techniques – heuristics and the need for exact algorithm – simulation models and optimization techniques – key features of a network configuration DSS
Inventory management and Risk pooling: Introduction – single warehouse inventory – the economic lot size model – the effect of demand uncertainty – supply contracts – multiple order opportunities – continuous review policy – variable lead times – periodic review policy – risk pooling – centralised versus decentralized systems – managing inventory in the supply chain – practical issues – forecasting – judgment methods – market research methods – time series methods – causal methods – selecting the appropriate forecasting technique.
Supply Chain Integration: Introduction – push, pull and push–pull systems – push – based supply chains – pull – based supply chain – push-pull supply chain - identifying the appropriate supply chain strategy – implementing a push-pull strategy – demand – driven – strategies – the impact of the internet on supply chain strategies – distribution strategies – direct shipment – cross docking – trans shipment – centralised versus decentralized control – central versus local facilities.
Customer value and supply chain management: Introduction – the dimensions of customer value – conformance to requirements – product selection – price and brand – value added services – relationships and experiences – strategic pricing – revenue management – customer value measures – information technology and customer value.
Decision-support systems for supply chain management: Introduction – the challenges of modeling – structure of decision support systems – input data – analytical tools – presentation tools – supply chain decision – support systems.