INVENTORY-TRANSPORTATION INTEGRATED OPTIMIZATION BASED ON THROUGH TRANSPORT POLICY WITH STOCHASTIC DEMAND
被引:0
作者:
Wang, Yuhui
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机构:
SW Jiaotong Univ, Coll Logist, Chengdu 610031, Peoples R ChinaSW Jiaotong Univ, Coll Logist, Chengdu 610031, Peoples R China
Wang, Yuhui
[1
]
Peng, Qiyuan
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机构:
SW Jiaotong Univ, Coll Logist, Chengdu 610031, Peoples R ChinaSW Jiaotong Univ, Coll Logist, Chengdu 610031, Peoples R China
Peng, Qiyuan
[1
]
Liu, Dun
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h-index: 0
机构:
SW Jiaotong Univ, Coll Logist, Chengdu 610031, Peoples R ChinaSW Jiaotong Univ, Coll Logist, Chengdu 610031, Peoples R China
Liu, Dun
[1
]
机构:
[1] SW Jiaotong Univ, Coll Logist, Chengdu 610031, Peoples R China
来源:
INTELLIGENT DECISION MAKING SYSTEMS, VOL. 2
|
2010年
关键词:
D O I:
10.1142/9789814295062_0083
中图分类号:
C93 [管理学];
O22 [运筹学];
学科分类号:
070105 ;
12 ;
1201 ;
1202 ;
120202 ;
摘要:
This paper considers the inventory-transportation integrated optimization (ITIO) problem in the presence of uncertain customer demand Customer demand is represented by probability theory, and a continuous review inventory policy is applied The relationship between fixed order quantity on distributor and the capacity of a single vehicle is pointed Out. Based on through transport policy, the effect of limited capacity of a single vehicle on transportation cost is considered To the model that minimizes the total cost of inventory and transportation, a series of decision-making values are obtained at the end of the paper.
机构:
Penn State Univ, Smeal Coll Business Adm, Dept Business Logist, University Pk, PA 16802 USAPenn State Univ, Smeal Coll Business Adm, Dept Business Logist, University Pk, PA 16802 USA
Tyworth, JE
Zeng, AZ
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机构:Penn State Univ, Smeal Coll Business Adm, Dept Business Logist, University Pk, PA 16802 USA
机构:
Penn State Univ, Smeal Coll Business Adm, Dept Business Logist, University Pk, PA 16802 USAPenn State Univ, Smeal Coll Business Adm, Dept Business Logist, University Pk, PA 16802 USA
Tyworth, JE
Zeng, AZ
论文数: 0引用数: 0
h-index: 0
机构:Penn State Univ, Smeal Coll Business Adm, Dept Business Logist, University Pk, PA 16802 USA