#NETWORK ROBUSTNESS INDEX TRANSCAD SOFTWARE#

The NRI is substantially equal to the change in the network-wide travel time when a given link is removed from the network.

A hypothetical supply chain network is employed to demonstrate the proposed approach. defined the network robustness index (NRI) to identify critical links 2. This approach considers both network structural robustness and network functional robustness. This paper presents a system-wide approach to quantifying robustness index of supply chain networks. 18, 19 established a network robustness index to measure the criticality of road links by the change in vehicle travel time after a road link failure. robustness. Vehicle routing in reverse logistics for recycling end-of-life consumer electronic goods in. This research is the first to quantify transportation network robustness in the presence of degradable links and alternative travel behavior.

Numerical examples are presented for illustration purposes.

#NETWORK ROBUSTNESS INDEX TRANSCAD SOFTWARE#

This file describes our Python based software for evaluating the robustness of complex networks under different kinds of targeted attacks as described in our paper. Robust closed-loop supply chain network design for perishable goods in agile manufacturing under uncertainty J. We also derive an upper bound for the relative total cost index under the system optimal flow pattern for general transportation networks. While there has been extensive work on the measurement of supply chain performance, little of this work has focused on measuring a supply chain's robustness, that is, the ability to cope with deviation and disruption. More specifically, the The Consumer Price Index for All Urban Consumers (CPI-U) rose 6.8 during the 12 months through October, the most since the 12 months through June 1982. Attack Robustness and Centrality of Complex Networks. The robustness-based design is compared with the reliability-based design using applications to Anytown network design. Here a new measure, so-called robustness index, is developed and utilized as an objective for a WDS optimal design. Robustness of supply chain networks is an important research issue as a vulnerable supply chain network may not be able to operate at all. Robust network is favored since it has less variation on its performance against the system uncertainties.

These uncertainties and unexpected events have negative impacts on the survival and performance of a supply chain network. The results demonstrate the efficacy of the procedure to determine critical links in a transportation network.Development of supply chain network robustness index Development of supply chain network robustness indexДЄs an event-driven system, a supply chain network will face not only the uncertainties in the supply chain, but also the unexpected events outside the supply chain network such as contingency, disruption, disaster and terrorism.

We demonstrate the proposed technique both in a theoretical network (Sioux Falls network) and in a built-up network to assess the criticality of the major infrastructures that are used to access Manhattan in an AM peak hour. This paper proposes a heuristic procedure using concepts of complex networks science to assess the importance of highway transportation networks using travel time as the performance measure to assess criticality. In the wake of recent terrorist attacks and recurring manmade and natural disasters, significant steps are needed to improve security at both state and metropolitan level. A methodology to assess the criticality of highway transportation networks A methodology to assess the criticality of highway transportation networksДЄssessing the importance of transportation facilities is an increasingly growing topic of interest to federal and state transportation agencies.

Network robustness index transcad