Decentralized Decision on Emergency Transshipment

Zhong Hua Ma

doi:10.4028/www.scientific.net/AMM.52-54.1476

Paper Titles

The Influence of Soft Soil on the Analysis of Soil-Pile Dynamic Interaction
p.1451

Research on the Performance Influence of the Flow Metering in the Natural Gas Pipeline with the Remit Pipe
p.1458

Influence about the Cooling Pipe´s Inlet of Bars Pattern on the Cooling Effect
p.1464

Bank Lending and Trade Credit: Evidence from Chinese Firms
p.1470

Decentralized Decision on Emergency Transshipment
p.1476

Component Analysis of Adiabatic Shear Band Formed in High Speed Cutting of High Strength Alloy Steel
p.1482

Dynamic Analysis of Lunar Rover Elevator Road-Set Deploying and Locking
p.1486

Structural Optimization of Large Part of Machine Tools Based on BP Neural Network
p.1490

Research on Machine Tool Components Contribution Calculation and the Weak Link Identification of the Whole Machine
p.1496

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 52-54Decentralized Decision on Emergency Transshipment

Decentralized Decision on Emergency Transshipment

Abstract:

Utilizing emergency transshipment between two retailers at the end of the season of sales to meet special customer demand can be an effective mean for companies to reduce sale lost cost and/or holding on cost. This paper provides a decision rule for how much (if any) to transshipment, with the condition that the two retailers involved have profit objects and decision made respectively. While the model explicitly of fixed and variable transshipment costs for each of them, it is possible to decide the amount of proposition cost helping to bring about the emergency transshipment.

You might also be interested in these eBooks

Advances in Mechanical Engineering (ICME)

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 52-54)

Pages:

1476-1481

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.52-54.1476

Citation:

Cite this paper

Online since:

March 2011

Authors:

Zhong Hua Ma

Keywords:

Decentralized System, Emergency Transshipment, Holding-On Cost, Sale Lost Cost

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Philip T. Evers. Heuristics for assessing emergency transshipments, European Journal of Operational Research, 129: 311-316. (2001).

DOI: 10.1016/s0377-2217(00)00228-9

Google Scholar

[2] Stefan Minner, Edward A. Silver, David J. Robb. An improved heuristic for deciding on emergency transshipments, European Journal of Operational Research, 148: 384-400. (2003).

DOI: 10.1016/s0377-2217(02)00424-1

Google Scholar

[3] Rough Garden T., E. Tardos. Bounding the inefficiency of equilibria in nonatomic congestion games, Journal of the ACM, 49(2): 236-259. (2002).

Google Scholar

[4] Ramesh Johari, John N. Tsitsiklis. Network resource allocation and a congestion game, Mathematic Operation Research, 29(3): 407-435. (2004).

Google Scholar

[5] Daron Acemoglu, Asuman E. Ozdaglar. Competition and efficiency in congested market, Mathematics Operation Research, 32(1): 1-31. (2007).

Google Scholar

[6] Chen F., Drezner, J. K. Ryan, D. Quantifying the bullwhip effect in a simple supply chain: the impact of forecasting, lead time and information, Management Science, 46(3): 436-443. (2000).

DOI: 10.1287/mnsc.46.3.436.12069

Google Scholar

[7] Tagaras G. Pooling in multi-location periodic inventory distribution systems, International Journal of Management Science, 27(1): 39-59. (1999).

DOI: 10.1016/s0305-0483(98)00030-9

Google Scholar

[8] Hill R. M. Using inter-branch stock transfers to meet demand during a stock out, International Journal of Retail and Distribution Management, 20(3): 27-32. (1992).

DOI: 10.1108/eum0000000002964

Google Scholar