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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.
1

Beer logistics: a wholesaler's delivery problem.

January 2010 (has links)
Cheung, Kwan Wing. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2010. / Includes bibliographical references (p. 115-124). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgement --- p.v / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Motivation --- p.1 / Chapter 1.2 --- Contributions --- p.7 / Chapter 1.3 --- Findings --- p.8 / Chapter 1.4 --- Structure of the Thesis --- p.10 / Chapter 2 --- Beer Logistics in China --- p.12 / Chapter 2.1 --- The Logistics and Supply Chain in China --- p.12 / Chapter 2.2 --- Beer in China --- p.22 / Chapter 2.2.1 --- The Expanding Market --- p.22 / Chapter 2.2.2 --- The Multi-tiered Supply Chain --- p.22 / Chapter 2.2.3 --- Reverse Logistics --- p.25 / Chapter 2.2.4 --- Manual Demand and Inventory Manage- ment --- p.26 / Chapter 2.2.5 --- Retail Fees and Value Chains --- p.28 / Chapter 2.2.6 --- Packaging --- p.30 / Chapter 2.3 --- The Wholesaler --- p.31 / Chapter 2.3.1 --- High Service Quality under Fierce Com- petition --- p.31 / Chapter 2.3.2 --- Use of Vans --- p.33 / Chapter 2.3.3 --- Delivery Problem of Wholesalers --- p.35 / Chapter 3 --- Literature Review --- p.37 / Chapter 3.1 --- Beer Logistics in China --- p.37 / Chapter 3.2 --- Modelling Delivery Problems --- p.39 / Chapter 3.3 --- Applications of the Vehicle Routing Problem --- p.42 / Chapter 3.4 --- Heuristics and Metaheuristics --- p.43 / Chapter 3.5 --- Round up --- p.45 / Chapter 4 --- Problem Definition --- p.48 / Chapter 4.1 --- Problem Definition --- p.48 / Chapter 4.2 --- Assumptions --- p.53 / Chapter 5 --- Problem Formulation --- p.55 / Chapter 5.1 --- Introduction --- p.55 / Chapter 5.2 --- Notations --- p.58 / Chapter 5.2.1 --- Indices --- p.58 / Chapter 5.2.2 --- Parameters --- p.58 / Chapter 5.2.3 --- Decision Variables --- p.59 / Chapter 5.3 --- Mixed Integer Programming Model --- p.60 / Chapter 5.3.1 --- The Model --- p.60 / Chapter 5.3.2 --- Descriptions --- p.61 / Chapter 5.3.3 --- Complexity and Polynomial Number of Con- straints --- p.66 / Chapter 6 --- Solution Methodology --- p.69 / Chapter 6.1 --- Input Parameters --- p.69 / Chapter 6.2 --- Finding the Optimal Solution --- p.70 / Chapter 6.2.1 --- By CPLEX Optimization Package --- p.70 / Chapter 6.2.2 --- Problems of Using Optimization Packages --- p.72 / Chapter 6.2.3 --- Observations of Some Optimal Solutions --- p.74 / Chapter 6.3 --- Heuristics Development --- p.77 / Chapter 6.3.1 --- Solution Strategies --- p.77 / Chapter 6.3.2 --- Evaluation of the Strategy Combinations --- p.84 / Chapter 6.3.3 --- Best Combinations --- p.90 / Chapter 6.3.4 --- Final Heuristic --- p.92 / Chapter 7 --- Computational Results --- p.94 / Chapter 7.1 --- Methodology --- p.94 / Chapter 7.2 --- Results of Using the Final Heuristic --- p.95 / Chapter 7.3 --- Computational Time --- p.99 / Chapter 8 --- Managerial Insights --- p.102 / Chapter 8.1 --- Practical Issues --- p.102 / Chapter 8.2 --- Managerial Insights --- p.105 / Chapter 9 --- Future Work and Conclusion --- p.109 / Chapter 9.1 --- Future Work --- p.109 / Chapter 9.2 --- Conclusion --- p.112 / Bibliography --- p.115

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