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Inventory policies analysis under demand patterns and lead times constraints in a real supply chain

2008; Taylor & Francis; Volume: 46; Issue: 24 Linguagem: Inglês

10.1080/00207540701528776

1366-588X

G. De Sensi, Francesco Longo, Giovanni Mirabelli,

Scheduling and Optimization Algorithms

Abstract This paper reports a study on a real three-echelon supply chain operating in the beverage sector. The authors, starting from the actual supply chain configuration, propose a detailed study of the inventory systems. The test of a comprehensive set of different operative scenarios, in terms of customers' demand intensity, customers' demand variability and lead times, becomes a powerful tool for inventory systems analysis along the supply chain. The main objective is the comparison of the actual supply chain configuration with optimistic and pessimistic scenarios for studying the behaviour of different inventory control policies and optimizing the inventory system of each supply chain node. Due to the dynamically changing and stochastic behaviour of the supply chain variables as well as the complex interactions among its actors, the authors have been pushed to implement an advanced simulation model supported by a 'well-planned' experimental design. In addition the paper aims to underline the research effort for conceptualizing, modelling, validating and simulating a real stochastic supply chain. Keywords: Inventory control policiesMulti-echelonSupply chainStochastic uncertaintySimulation