Online Supply Chain Modeling and Simulation

Author(s):  
Christoph Schlueter-Langdon ◽  
Peter Bruhn ◽  
Michael J. Shaw
Author(s):  
Nenad Stefanovic ◽  
Bozidar Radenkovic

Simulation can be a valuable tool for supply chain analysis, planning, optimization, evaluation, and risk management. Computer simulation and simulation models can be used to model intricate supply chains close to real systems, execute those models, and observe system behavior. This paper deals with supply chain modeling and simulation. It starts with rationale for supply chain simulation, its advantages and benefits. The paper gives a systematic background research and literature overview related to supply chain simulation with insights into the main simulation approaches and methods. Next, supply chain modeling and simulation methodology is described. It introduces supply chain Metamodel which enables modeling of both supply chain structure and dynamics. The main components like model database, process library, knowledge base, and execution engine are also described. The examples of various simulation scenarios are presented. Finally, the paper gives the main future research directions and concludes with a brief discussion of supply chain simulation importance and applications.


2015 ◽  
Vol 5 (6) ◽  
pp. 639-650 ◽  
Author(s):  
Amit Kumar Sinha ◽  
Prerna Swati ◽  
Ankush Anand

Author(s):  
Nenad Stefanovic ◽  
Bozidar Radenkovic

Simulation can be a valuable tool for supply chain analysis, planning, optimization, evaluation, and risk management. Computer simulation and simulation models can be used to model intricate supply chains close to real systems, execute those models, and observe system behavior. This chapter deals with supply chain modeling and simulation. It starts with a rationale for supply chain simulation, its advantages and benefits. The chapter gives a systematic background research and literature overview related to supply chain simulation with insights into the main simulation approaches and methods. Next, supply chain modeling and simulation methodology are described. It introduces a supply chain metamodel that enables modeling of both supply chain structure and dynamics. The main components like model database, process library, knowledge base, and execution engine are also described. The examples of various simulation scenarios are presented. Finally, the chapter gives the main future research directions and concludes with a brief discussion of supply chain simulation importance and applications.


2008 ◽  
Vol 27 (1) ◽  
pp. 3-13
Author(s):  
Charu Chandra ◽  
Jānis Grabis

Multiple interrelated decision-making models are frequently used in supply chain modeling. Model integration is a precondition for efficient development and utilization of these models. This paper discusses use of modern information technology (IT) techniques and methods for integration of supply chain decision-making models. The overall approach to using IT at various stages of model development is presented. Data and process modeling techniques are used to developed semi-formalized representation of integrated models. These models support integration of decision-making components with other parts of supply chain information system. Process modeling is also used to describe interrelationships among multiple decision-making models. This representation is used as the basis for implementation of integrated models. The service-oriented architecture is proposed as an implementation platform. The presented discussion serves as the basis for further developments in developing integrated supply chain decision-making models.


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