Linking supply chain configuration to supply chain perfrmance: A discrete event simulation model

Abstract

a b s t r a c tThis paper aims to analyse the dependencies between supply chain performance, i.e. stock and stock-outs, and both supply chain management decisions and supply chain configuration parameters, i.e. the number of sources, the inventory capacity at a given node and the number of nodes that share the considered inventory capacity, the distance between nodes and the number of levels of the supply chain. The relationships among these variables have been studied by means of a scenario design technique and the discrete event simulation together with statistical analysis. Models of Economic Order Quantity (EOQ)-based and forecast-based supply chains have been developed.Results suggest some managerial implications potentially useful in field: intermediaries and specialized actors (either global or local -since the distance proved to be irrelevant) can be added for the sake of product quality and cost, without adversely affecting service level performance at the retailer stage. Collaborative practices are proved to be very helpful, especially when the number of sources increases. However, retailers' performance enhance, while distributors' one and manufacturers' one worsen, thus raising hurdles to collaborate.

Methodology to Analyze the Productive and Environmental Performance of a Supply Chain through Simulation Scenarios

“…We start talking about supply chain. In [16] Cigolinia et al, analyzed the dependencies between supply chain performance, i.e. stock and stock-outs, and both supply chain management decisions and supply chain configuration parameters.…”

Lead time performance in a internet product delivery supply chain with automatic consolidation

“…Discrete-event simulation (DES) was used as the modeling methodology for the analysis of the supply chains under study (Cigolini et al 2014). DES is a well-established technique for the study of operational scenarios in real world situations (Banks et al 1995;Pidd 1998;Law and Kelton 2000).…”

Linking product modularity to supply chain integration in the construction and shipbuilding industries

“…Cigolini et al 2011Cigolini et al , 2014 should consider both suppliers (upstream levels) and customers (downstream levels). However, according to Fine (1998) loosely coupled and integrated SCs are to be differentiated and an intermediate level (Collin et al 1997, Vrijhoef and Koskela 2000, Voordijk et al 2006, Caridi et al 2012 added, so that the following taxonomy of SC integration in the ETO industry can be introduced.…”