Browsing by Author "Davis, Lauren B."
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Article Citation Count: 135Inventory Planning and Coordination in Disaster Relief Efforts(Elsevier Science Bv, 2013) Davis, Lauren B.; Samanlıoğlu, Funda; Qu, Xiuli; Root, SarahThis research proposes a stochastic programming model to determine how supplies should be positioned and distributed among a network of cooperative warehouses. The model incorporates constraints that enforce equity in service while also considering traffic congestion resulting from possible evacuation behavior and time constraints for providing effective response. We make use of short-term information (e.g. hurricane forecasts) to more effectively preposition supplies in preparation for their distribution at an operational level. Through an extensive computational study we characterize the conditions under which prepositioning is beneficial as well as discuss the relationship between inventory placement capacity and coordination within the network. (C) 2012 Elsevier B.V. All rights reserved.Conference Object Citation Count: 0Optimization Model for Distributed Routing for Disaster Area Logistics(IEEE, 2009) Osman, Mojahid Saeed; Ram, Bala; Bhadury, Joy; Stanfield, Paul; Davis, Lauren B.; Samanlıoğlu, FundaThe problem of transportation in a disaster area can be seen broadly as having two aspects: (a) moving people and materials out of an area and (b) moving people and materiel into the same area. The common thread here is the use of a limited set of surface and air transportation gateways into and out of the area. The distributed routing problem here is that of assigning one from among the limited set of gateways to various transportation requests in real-time while maximizing some measure of success for the entire relief mission. We define the general problem provide an example of the real-time transportation routing problem and propose an optimization model. The similarity of this problem to a job shop scheduling problem is presented pointing to the fact that a distributed approach based on bio-inspired methods can be developed to counter the large problem size and centralized nature of the integer multi-commodity network model. A small illustrative model of the integer multi-commodity network model is presented and solvedArticle Citation Count: 10Radio Frequency Identification System Optimisation Models for Lifecycle of a Durable Product(Taylor & Francis Ltd, 2010) Osman, Mojahid Saeed; Ram, Bala; Stanfield, Paul; Samanlıoğlu, Funda; Davis, Lauren B.; Bhadury, JoyWe address the implementation of radio frequency identification (RFID) technology to support and manage durable products over their entire lifecycle with a focus on optimising the RFID tagging system. We develop general models that optimise the placement of RFID tags on an end product and its components the allocation of the data on tags and the selection of RFID tags and their configuration. The primary criteria for optimisation are to maximise the value of RFID data and to minimise the total cost of the RFID tag system. The total cost of RFID tags comprises costs associated with memory capacity tag type software acquisition and maintenance and number of tags used