WorldCat Identities

Sowlati, Taraneh 1967-

Works: 4 works in 6 publications in 2 languages and 32 library holdings
Genres: Academic theses 
Roles: Author
Publication Timeline
Most widely held works by Taraneh Sowlati
Establishing the practical frontier in data envelopment analysis by Taraneh Sowlati( Book )

3 editions published between 2001 and 2002 in English and held by 29 WorldCat member libraries worldwide

Estado actual, abastecimiento y uso de biomasa en la provincia de British Columbia en Canadá by Carolina Paz Casas-Cordero Guerrero( Book )

1 edition published in 2008 in Spanish and held by 1 WorldCat member library worldwide

Development of a decision support tool for optimizing the short-term logistics of forest-based biomass( )

1 edition published in 2018 in English and held by 1 WorldCat member library worldwide

Highlights: Transshipment and routing models are developed for short-term biomass logistics. The models include biomass storage, pre-processing, and truck routing decisions. Models are applied to a large forest-based biomass logistics company. Average reduction of 12% in cost and fuel consumption is observed using the models. An Excel-based decision support tool is developed for the company. Abstract: High cost of logistics is one of the barriers of using forest-based biomass for energy and fuel production. Biomass logistics is complex and includes interdependent decisions related to storage, pre-processing and transportation. While these decisions have been considered in numerous medium-term planning models, those for short-term planning are limited. The existing models focused only on optimal truck routing without considering intermediate storage facilities which are essential to match biomass supply and demand. In this study, a decomposition-based approach is used and optimization models are developed for the short-term planning of a large biomass logistics company located in the Lower Mainland region of British Columbia, Canada. The company deals with collection, storage, pre-processing and transportation of biomass. Several operational constraints related to truck-location compatibilities and truck-biomass compatibilities arising from heterogeneity of trucks and biomass types which further complicate the logistics planning are incorporated in the models. First, a transshipment model is developed and solved using a mixed integer formulation to determine comminution schedules and the number of truckloads of each biomass type to be transported each day using each type of truck. Then, a routing model, which uses the results of the transshipment model, is developed to determine the optimal routing for the available trucks. A decision support tool to optimize the company's weekly transportation and comminution operations is also developed for the company. Experiments were conducted on real data from the company over a span of four weeks. The results indicate 12% reduction in the total average cost and a similar reduction in fuel consumption compared to the actual routes implemented by the company. It is suggested that savings could be obtained by using larger trucks for longer distance transportation and smaller trucks for shorter distances. Direct delivery of biomass from suppliers to customers, bypassing the yard, could result in cost savings
Establishing the practical frontier in data envelopment analysis by Taraneh Sowlati( )

1 edition published in 2001 in English and held by 1 WorldCat member library worldwide

Data Envelopment Analysis (DEA) assigns a score to each production unit (DMU) considered in the analysis. Such score indicates whether the unit is efficient or not. For inefficient units, it also identifies a hypothetical unit as the target and thus suggests improvements to their efficiency. However, for efficient units no further improvement can be indicated based on a DEA analysis. Nevertheless, it is important for management to indicate targets for their efficient units if the organization is to improve as a whole. If the inputs and outputs of efficient units can be varied within a specified range, then it is possible to find other combinations of inputs and outputs from which new, "artificial", DMUs can be created. These DMUs are constrained to be more efficient than the DEA efficient unit from which they were created. This thesis presents a linear programming model and a methodology for improving the efficiency of empirically efficient units by defining a new "Practical Frontier" and utilizing management input. This new frontier allows the analyst to identify adjusted efficiency scores for DMUs which were on the frontier when only real DMUs were considered. The new frontier, formed mostly from the new, artificial DMUs, thus ranks the efficient units which will now have scores less than 1.0. Available bank branch data was used to illustrate the applicability of this theoretical development
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