This paper describes a methodology and toolkit for the analysis of risks due to insiders' dysfunctional behavior in supply chains. It shows how risk analysis techniques based on value models [15] can incorporate the design and distribution of incentives as a risk-alleviation technique. Some important new functionalities of our SCRS (Supply Chain Risk Simulator v1 [14]) tool are presented. Such functionalities allow for (i) import/export of value models and (ii) execution of incentive-aware risk analysis. Functionality (i) fully integrates the SCRS tool with the e3-value tool suite, increasing synergy with existing value model toolkits. Functionality (ii) substantially extends the original palette of techniques for risk analysis and alleviat...
Part 16: Sentient Immersive Response NetworkInternational audienceAt the time of instability becomes...
The main objective of the present study is to develop a simulation-based decisional model and innova...
This paper investigates problems related to supply chain risk identification and simulation-based ri...
As today’s supply chain (SC) networks are globalized complex systems planning and optimizing SC proc...
For today’s supply chains, risk management becomes an important instrument, which can protect a syst...
Supply chain management under uncertainty and risk has become the target of extensive research. A re...
Thesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Engineering Systems Division, 2...
Supply chain risk management(SCRM)has emerged as an issue of critical importance for today’s globali...
We present in this paper a simulation-based approach to evaluate the risk associated with supply cha...
In today’s competitive and dynamic market conditions, Supply Chain Risk Management (SCRM) has become...
Organisations have devoted a great deal of energy to improving supply chain performance by reducing ...
Purpose: With the globalisation of supply chains the importance of supply chain risk management (‘SC...
This is a proposal to create a simulation tool that can explore advanced tools and techniques from e...
This report presents an idea generator which is intended to be used when searching for new options f...
This paper presents a research that is made within the doctoral thesis. The title of the doctoral th...
Part 16: Sentient Immersive Response NetworkInternational audienceAt the time of instability becomes...
The main objective of the present study is to develop a simulation-based decisional model and innova...
This paper investigates problems related to supply chain risk identification and simulation-based ri...
As today’s supply chain (SC) networks are globalized complex systems planning and optimizing SC proc...
For today’s supply chains, risk management becomes an important instrument, which can protect a syst...
Supply chain management under uncertainty and risk has become the target of extensive research. A re...
Thesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Engineering Systems Division, 2...
Supply chain risk management(SCRM)has emerged as an issue of critical importance for today’s globali...
We present in this paper a simulation-based approach to evaluate the risk associated with supply cha...
In today’s competitive and dynamic market conditions, Supply Chain Risk Management (SCRM) has become...
Organisations have devoted a great deal of energy to improving supply chain performance by reducing ...
Purpose: With the globalisation of supply chains the importance of supply chain risk management (‘SC...
This is a proposal to create a simulation tool that can explore advanced tools and techniques from e...
This report presents an idea generator which is intended to be used when searching for new options f...
This paper presents a research that is made within the doctoral thesis. The title of the doctoral th...
Part 16: Sentient Immersive Response NetworkInternational audienceAt the time of instability becomes...
The main objective of the present study is to develop a simulation-based decisional model and innova...
This paper investigates problems related to supply chain risk identification and simulation-based ri...