A Genetic Algorithm with Priority-Based Encoding for the Multistage Supply Chain Distribution Problem

To support strategic decisions in logistics planning, the authors study a supply chain distribution problem close to the real world situation. A basic assumption in any distribution problem is that the cost of transportation is directly proportional to the number of units transported. However, this assumption cannot be justified in real world situations. This paper describes a distribution problem in which the transportation cost comprises a variable cost component and a fixed cost component. It is assumed that the variable component is continuous and linear increasing with volume of freight. The fixed cost incurs whenever there exists transportation between a source and a destination. The proposed problem can be formulated as an optimal mathematical model. A genetic algorithm with priority based encoding structure is designed and applied for solving the proposed model. At the end, a simple numeric example is introduced to apply the presented model and algorithm.

• Record URL:
  https://doi.org/10.1061/41039(345)315
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784410394
• Supplemental Notes:
  • © 2009 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Ge, Shu
  • Gan, Mi
• Conference:
  • Second International Conference on Transportation Engineering
  • Location: Chengdu , China
  • Date: 2009-7-25 to 2009-7-27
• Publication Date: 2009-7

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 1902-1908
• Monograph Title: International Conference on Transportation Engineering 2009

Subject/Index Terms

• TRT Terms: Freight transportation; Genetic algorithms; Mathematical models; Physical distribution; Supply chain management
• Subject Areas: Freight Transportation; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01528238
• Record Type: Publication
• ISBN: 9780784410394
• Files: TRIS, ASCE
• Created Date: Nov 12 2013 1:39PM