Kannan Govindan

TL;DR: The main contribution to the field is the uncovering of net effect and the prominence level of each RL driver from each stakeholder perspective separately, and from the overall perspective (aggregated form).

TL;DR: This paper analyses in detail the various issues in constructing the trustworthy networks, impact of various network dynamics on the trust relationships and the applications of trust worthiness in assessing the information quality, to evict the misbehaving nodes and to provide other related security services.

TL;DR: This demonstration presents a tool, called DustDoctor, for troubleshooting sensor data fusion systems in which data is combined from multiple heterogeneous sources to compute actionable information, and adapts algorithms borrowed from previous discriminative mining literature to analyze data fusion flow graphs, called provenance graphs.

TL;DR: In this paper a bi-objective model is developed for a reverse logistic network design that aims to minimize the cost involved in the reverse logistics network model and the second objective is designed to minimize energy consumption during the logistics.

TL;DR: In this paper , a new strategy is proposed that integrates technological capabilities and supply chain management initiatives to overcome the expiration of many deteriorative products imposes high costs on the supply chain, and it is proved that the proposed strategy is economically feasible if and only if the revenue of each unit of reused product in addition to saving on its disposing cost, is greater than its reprocessing cost.