A Stochastic Location-Inventory Problem in Refined Oil Distribution Systems
by Sai Jiang, (College of Logistics, Southwest Jiaotong University, Chengdu 610031, China E-mail: jsai@163.com), Zujun Ma, (College of Logistics, Southwest Jiaotong University, Chengdu 610031, China), and Bo Zhang, (College of Logistics, Southwest Jiaotong University, Chengdu 610031, China)
pp. 2753-2758, (doi: http://dx.doi.org/10.1061/40996(330)407)
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| Document type: |
Conference Proceeding Paper |
| Part of: |
Logistics: The Emerging Frontiers of Transportation and Development in China |
| Abstract: |
Refined oil distribution is an important issue in real-life. To optimize the refined oil distribution system, a stochastic model for the combined location-inventory problem (LIP) in a single-product multi-depot oil distribution system is developed. And a heuristics algorithm is presented to solve the model. Finally, an example is given to illustrate the validity of the model and algorithm. |
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