A multi-objective programming approach for designing complicated logistics network. Issue 4 (1st January 2011)
- Record Type:
- Journal Article
- Title:
- A multi-objective programming approach for designing complicated logistics network. Issue 4 (1st January 2011)
- Main Title:
- A multi-objective programming approach for designing complicated logistics network
- Authors:
- Zhou, Lina
Xu, Xiaofei
Deng, Shengchun - Abstract:
- Designing logistics network is a crucial and frequent decision for manufacturers, particularly for those operating in large developing countries. The majority of the existing logistics network models are single objective and the optimisation objective is usually minimising cost. However, multiple and conflicting objectives usually need to be considered in designing a real-life logistics network. In this paper, a complicated logistics network design problem is mathematically formulated as a multi-objective programming model and a goal attainment based solution procedure is proposed. An example is given in the end, which introduces the application of the proposed approach in a practical problem.
- Is Part Of:
- International journal of logistics systems and management. Volume 9:Issue 4(2011)
- Journal:
- International journal of logistics systems and management
- Issue:
- Volume 9:Issue 4(2011)
- Issue Display:
- Volume 9, Issue 4 (2011)
- Year:
- 2011
- Volume:
- 9
- Issue:
- 4
- Issue Sort Value:
- 2011-0009-0004-0000
- Page Start:
- 419
- Page End:
- 437
- Publication Date:
- 2011-01-01
- Subjects:
- logistics network -- SCM -- supply chain management -- multi-objective -- GP -- goal programming -- location-allocation
Business logistics -- Periodicals
658.5005 - Journal URLs:
- http://www.inderscience.com/ ↗
http://www.inderscience.com/jhome.php?jcode=ijlsm ↗ - Languages:
- English
- ISSNs:
- 1742-7967
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 7521.xml