A continuous approximation model for time definite many-to-many transportation

被引:17
作者
Campbell, James F. [1 ]
机构
[1] Univ Missouri, Coll Business Adm, St Louis, MO 63121 USA
关键词
Continuous approximations; Many-to-many transportation; Time definite transportation; Hub location; FACILITY LOCATION DESIGN; HUB LOCATION; NETWORK DESIGN; TERMINALS; SYSTEM;
D O I
10.1016/j.trb.2013.04.002
中图分类号
F [经济];
学科分类号
02 ;
摘要
Time definite freight transportation carriers provide very reliable scheduled services between origin and destination terminals. They seek to reduce transportation costs through consolidation of shipments at hubs, but are restricted by the high levels of service to provide less circuitous routings. This paper develops a continuous approximation model for time definite transportation from many origins to many destinations. We consider a transportation carrier serving a fixed geographic region in which demand is modeled as a continuous distribution and time definite service levels are imposed by limiting the maximum travel distance via the hub network. Analytical expressions are developed for the optimal number of hubs, hub locations, and transportation costs. Computational results for an analogous discrete demand model are presented to illustrate the behavior observed with the continuous approximation models. (c) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:100 / 112
页数:13
相关论文
共 50 条
[41]   An Adaptive Many-Objective Robust Optimization Model of Dynamic Reactive Power Sources for Voltage Stability Enhancement [J].
Chi, Yuan ;
Tao, Anqi ;
Xu, Xiaolong ;
Wang, Qianggang ;
Zhou, Niancheng .
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2023, 11 (06) :1756-1769
[42]   Many-body localization in a long-range model: Real-space renormalization-group study [J].
Modak, Ranjan ;
Nag, Tanay .
PHYSICAL REVIEW E, 2020, 101 (05)
[43]   Age-time continuous Galerkin methods for a model of population dynamics [J].
Kim, Mi-Young ;
Selenge, Tsendauysh .
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2009, 223 (02) :659-671
[44]   An Evaluation Model for Continuous Operating Time Based on Minimum Order Statistic [J].
Li, Renqing ;
Li, Jin ;
Song, Yan ;
Wang, Kun .
2022 4TH INTERNATIONAL CONFERENCE ON SYSTEM RELIABILITY AND SAFETY ENGINEERING, SRSE, 2022, :511-515
[45]   On the inventory model with continuous and discrete lead time, backorders and lost sales [J].
Chang, Ching-Ter ;
Lo, Tzu Yun .
APPLIED MATHEMATICAL MODELLING, 2009, 33 (05) :2196-2206
[46]   Mathematical model describing the thyroids-pituitary axis with distributed time delays in hormone transportation [J].
Neamtu, Mihaela ;
Stoian, Dana ;
Navolan, Dan Bogdan .
10TH INTERNATIONAL CONFERENCE ON MATHEMATICAL PROBLEMS IN ENGINEERING, AEROSPACE AND SCIENCES (ICNPAA 2014), 2014, 1637 :724-733
[47]   Continuous time model for notional defined contribution pension schemes: Liquidity and solvency [J].
Alonso-Garcia, Jennifer ;
Devolder, Pierre .
INSURANCE MATHEMATICS & ECONOMICS, 2019, 88 :57-76
[48]   Many-objective optimization for structural parameters of the fuel cell air compressor based on the Stacking model under multiple operating conditions [J].
Sun, Xilei ;
Wang, Huailin ;
Fu, Jianqin ;
Xia, Yan ;
Liu, Jingping .
APPLIED THERMAL ENGINEERING, 2024, 245
[49]   3D Many-Core Microprocessor Power Management by Space-Time Multiplexing Based Demand-Supply Matching [J].
Manoj, Sai P. D. ;
Yu, Hao ;
Wang, Kanwen .
IEEE TRANSACTIONS ON COMPUTERS, 2015, 64 (11) :3022-3036
[50]   Global-In-Time Discrete Approximation of the Cucker-Smale Model with a Unit Speed Constraint [J].
Han, Jeong Seok ;
Shim, Woojoo ;
Ahn, Hyunjin .
JOURNAL OF STATISTICAL PHYSICS, 2025, 192 (02)