Simulation-Based Risk Measurements In Supply Chains

2006 ◽  
Author(s):  
R. A. Klimov ◽  
Y. A. Merkuryev
Keyword(s):  
Supply Chains ◽  
Simulation Based ◽  
Risk Measurements

scholarly journals Simulation-based multi-objective model for supply chains with disruptions in transportation

2017 ◽  
Vol 43 ◽  
pp. 39-49 ◽  
Author(s):  
Hernán Chávez ◽  
Krystel K. Castillo-Villar ◽  
Luis Herrera ◽  
Agustín Bustos
Keyword(s):  
Supply Chains ◽  
Multi Objective ◽  
Simulation Based ◽  
Objective Model

scholarly journals Mediating Dynamic Supply Chain Formation by Collaborative Single Machine Earliness/Tardiness Agents in Supply Mesh

2014 ◽  
Vol 2014 ◽  
pp. 1-21
Author(s):  
Hang Yang ◽  
Simon Fong ◽  
Yan Zhuang
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Single Machine ◽  
Intelligent Agents ◽  
Textile Industry ◽  
Make To Order ◽  
Simulation Based ◽  
Trading Partners ◽  
The Right ◽  
Complex Scenario

Nowadays, a trend of forming dynamic supply chains with different trading partners over different e-marketplaces has emerged. These supply chains, which are called “supply mesh,” generally refer to heterogeneous electronic marketplaces in which dynamic supply chains, as per project (often make-to-order), are formed across different parties. Conceptually, in a supply mesh a dynamic supply chain is formed vertically, mediating several companies for a project. Companies that are on the same level horizontally are either competitors or cohorts. A complex scenario such as this makes it challenging to find the right group of members for a dynamic supply chain. Earlier on, a multiagent model called the collaborative single machine earliness/tardiness (CSET) model was proposed for the optimal formation of make-to-order supply chains. This paper contributes the particular agent designs, for enabling the mediation of CSET in a supply mesh, and the possibilities are discussed. It is demonstrated via a computer simulation, based on samples from the U.S. textile industry, that by using intelligent agents under the CSET model it is possible to automatically find an ideal group of trading partners from a supply mesh.

Simulation based Planning and Optimisation in Supply Chains: Application in ECLIPS Project

2011 ◽  
Vol 21 (1) ◽  
pp. 37-44
Author(s):  
Galina Merkuryeva ◽  
Yuri Merkuryev
Keyword(s):  
Supply Chains ◽  
Simulation Based

Simulation-based evaluation of supply chains for stump fuel

2014 ◽  
Vol 25 (1) ◽  
pp. 23-36 ◽  
Author(s):  
Anders Eriksson ◽  
Lars Eliasson ◽  
Raida Jirjis
Keyword(s):  
Supply Chains ◽  
Simulation Based
Sign in / Sign up

Export Citation Format

Share Document