Title
An advanced supply chain management tool based on modeling and simulation
Abstract
The paper presents an advanced modeling approach and a simulation model for supporting supply chain management. The first objective is to develop a flexible, time-efficient and parametric supply chain simulator starting from a discrete event simulation package. To this end we propose and advanced modeling approach. The second objective is to provide a decision making tool for supply chain management. The simulator is a decision making tool capable of analyzing different supply chain scenarios by using an approach based on multiple performance measures and user-defined set of input parameters. Our simulator capabilities as decision making tool are strongly amplified if Design of Experiment (DOE) and Analysis of Variance (ANOVA) are respectively used for experiments planning and simulation results analysis. With regard to supply chain decision making process, we propose an application example for a better understanding of tool potentials. The application example considers a specific supply chain scenario and analyzes the effects of inventory control policies, lead times, customers' demand intensity and variability, on three different supply chain performance measures.
Year
DOI
Venue
2008
10.1016/j.cie.2007.09.008
Computers & Industrial Engineering
Keywords
Field
DocType
different supply chain performance,supply chain management,discrete event simulation package,simulation,advanced modeling approach,specific supply chain scenario,decision making tool,parametric supply chain simulator,different supply chain scenario,chain decision,modeling,application example,tool potential,advanced supply chain management,design of experiment,modeling and simulation,discrete event simulation,supply chain,decision making process,simulation model,inventory control,analysis of variance
Modeling and simulation,Inventory control,Parametric statistics,Supply chain management,Supply chain,Engineering,Operations management,Decision-making,Discrete event simulation,Design of experiments
Journal
Volume
Issue
ISSN
54
3
Computers & Industrial Engineering
Citations 
PageRank 
References 
44
2.12
7
Authors
2
Name
Order
Citations
PageRank
Francesco Longo1926.37
Giovanni Mirabelli2727.46