The production-assembly-distribution system design problem : modeling and solution approaches /

Bibliographic Details
Main Author: Liang, Dong
Other Authors: Wilhelm, Wilbert E. (Thesis advisor)
Format: Thesis eBook
Language:English
Published: [College Station, Tex.] : [Texas A&M University], [2010]
Subjects:
Online Access:Link to OAK Trust copy

MARC

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100 1 |a Liang, Dong. 
245 1 4 |a The production-assembly-distribution system design problem :  |b modeling and solution approaches /  |c by Dong Liang. 
264 1 |a [College Station, Tex.] :  |b [Texas A&M University],  |c [2010] 
300 |a 1 online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a "Major Subject: Industrial Engineering" 
500 |a Title from author supplied metadata (automated record created 2010-03-12 12:08:51). 
502 |b Doctor of Philosophy  |c Texas A&M University  |d 2007  |o http://hdl.handle.net/1969.1/ETD-TAMU-2529 
504 |a Includes bibliographical references. 
516 |a Text (Dissertation) 
520 3 |a This dissertation, which consists of four parts, is to (i) present a mixed integer programming model for the strategic design of an assembly system in the international business environment established by the North American Free Trade Agreement (NAFTA) with the focus on modeling the material flow network with assembly operations, (ii) compare different decomposition schemes and acceleration techniques to devise an effective branch-and-price solution approach, (iii) introduce a generalization of Dantzig-Wolf Decomposition (DWD), and (iv) propose a combination of dual-ascent and primal drop heuristics. The model deals with a broad set of design issues (bill-of-materials restrictions, international financial considerations, and material flows through the entire supply chain) using effective modeling devices. The first part especially focuses on modeling material flows in such an assembly system. The second part is to study several schemes for applying DWD to the productionassembly- distribution system design problem (PADSDP). Each scheme exploits selected embedded structures. The research objective is to enhance the rate of DWD convergence in application to PADSDP through formulating a rationale for decomposition by analyzing potential schemes, adopting acceleration techniques, and assessing the impacts of schemes and techniques computationally. Test results provide insights that may be relevant to other applications of DWD. The third part proposes a generalization of column generation, reformulating the master problem with fewer variables at the expense of adding more constraints; the subproblem structure does not change. It shows both analytically and computationally that the reformulation promotes faster convergence to an optimal solution in application to a linear program and to the relaxation of an integer program at each node in the branchand- bound tree. Further, it shows that this reformulation subsumes and generalizes prior approaches that have been shown to improve the rate of convergence in special cases. The last part proposes two dual-ascent algorithms and uses each in combination with a primal drop heuristic to solve the uncapacitated PADSDP, which is formulated as a mixed integer program. Computational results indicate that one combined heuristic finds solutions within 0.15% of optimality in most cases and within reasonable time, an efficacy suiting it well for actual large-scale applications. 
500 |a Electronic resource. 
650 4 |a Major Industrial Engineering. 
653 |a Dantzig??fe decomposition 
653 |a Assembly system design 
700 1 |a Wilhelm, Wilbert E.,  |e thesis advisor. 
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