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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
31

Considering inventory in service parts logistics network design problems with time-based service constraints

Candas, Mehmet Ferhat, 1979- 28 August 2008 (has links)
We study the integrated logistics network design and inventory stocking problem as characterized by the interdependency of design and stocking decisions in service parts logistics. These two sets of decisions usually have been considered sequentially in practice, and their associated problems have been tackled separately in the research literature. The overall problem is typically further complicated due to time-based service constraints that provide lower limits for the percentages of demand satisfied within specified time windows. We introduce an optimization model that explicitly captures the interdependency between network design (location of facilities, and allocation of demands to facilities) and inventory stocking decisions (stock levels and their corresponding stochastic fill rates), and present computational results from our extensive experiments that investigate the effects of several factors including demand levels, time-based service levels, and costs. Our findings indicate that the integrated approach can provide significant cost savings over the decoupled approach (solving the network design first and inventory stocking next), shifting the whole efficient frontier curve between cost and service level to superior regions. Furthermore, we show that the decoupled and integrated approaches may generate totally different solutions, even in the number of located facilities and in their locations, magnifying the importance of considering inventory as part of the network design models. Our analysis consists of a special case of integrated logistics network design and inventory stocking problem in service parts logistics, where each customer requires a certain time-based service level. Introduced is a non-linear mixed integer optimization model that is beyond our current solution technologies, yet it explicitly captures the interdependency between network design (locating facilities, and allocating customers to facilities) and inventory stocking decisions (stock levels and their corresponding stochastic fill rates). We provide two different linearized mixed integer formulations for this problem that can solve small and medium size instances. We reveal that this problem can be formulated as a capacitated facility location problem with polynomially solvable sub cases. However, it is still a challenging problem for which we have a Lagrangian-relaxation based approach that provides extremely tight lower and upper bounds. By applying the methodology and insights of the customer-centric problem, we succeed in providing upper and lower bounds to the original system-wide service level problem, even with large instances and with medium demand levels. / text
32

Theoretical development and empirical investigation of supply chain agility

Swafford, Patricia M. 05 1900 (has links)
No description available.
33

Optimisation of distribution network design using a hybrid genetic algorithm /

Akararungruangkul, Raknoi Unknown Date (has links)
This thesis presents an integrated methodology developed for the modelling and optimisation of distribution networks based on a Hybrid Genetic Algorithm. This work focuses on solving the capacitated location-allocation problem in the context of distribution network design, which is a large scale, highly constrained, NP-hard, combinational problem. / Thesis (PhD)--University of South Australia, 2006.
34

Optimisation of distribution network design using a hybrid genetic algorithm /

Akararungruangkul, Raknoi Unknown Date (has links)
This thesis presents an integrated methodology developed for the modelling and optimisation of distribution networks based on a Hybrid Genetic Algorithm. This work focuses on solving the capacitated location-allocation problem in the context of distribution network design, which is a large scale, highly constrained, NP-hard, combinational problem. / Thesis (PhD)--University of South Australia, 2006.
35

Optimisation of distribution network design using a hybrid genetic algorithm /

Akararungruangkul, Raknoi Unknown Date (has links)
This thesis presents an integrated methodology developed for the modelling and optimisation of distribution networks based on a Hybrid Genetic Algorithm. This work focuses on solving the capacitated location-allocation problem in the context of distribution network design, which is a large scale, highly constrained, NP-hard, combinational problem. / Thesis (PhD)--University of South Australia, 2006.
36

Logistics network design with inventory stocking, time-based service and part commonality

Jeet, Vishv, January 1900 (has links) (PDF)
Thesis (Ph. D.)--University of Texas at Austin, 2006. / Vita. Includes bibliographical references.
37

Decision support tools for dynamic fleet management : applications in airline planning and ambulance logistics /

Andersson, Tobias, January 2005 (has links) (PDF)
Diss. (sammanfattning) Linköping : Univ., 2005.
38

Co-ordinated supply chain management and optimal control problems

Lee, Yu Chung Eugene. January 2007 (has links)
Thesis (Ph.D.)--Hong Kong Polytechnic University (Hong Kong), 2007. / Advisers: Heung-wing Joseph Lee, Chi-kin Chan, Ping-kei Bartholomew Leung. Includes bibliographical references.
39

Competitive advantage of a firm through supply chain responsiveness and SCM practices

Thatte, Ashish A. January 1900 (has links)
Thesis (Ph.D.)--The University of Toledo, 2007. / Advisers: S. Subba Rao, T.S. Ragu-Nathan. Includes bibliographical references.
40

On optimal pricing and ordering in supply chain management

Zhou, Bin. January 1900 (has links)
Thesis (Ph.D.)--Rutgers The State University of New Jersey - Newark, 2007. / Adviser: Michael N. Katehakis. Includes bibliographical references.

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