9th Joint International Conference on Information Sciences (JCIS-06)

A DSAS-Based Minimum Makespan Model for Multi-location Investment Using Fractional Programming

Authors
Cheng-Chang Chang 0, Yan-Kwang Chen, Wen-Chieh Hsu
Corresponding Author
Cheng-Chang Chang
0National Defense Management College
DOI
https://doi.org/10.2991/jcis.2006.25How to use a DOI?
Keywords
multinational enterprises, multi-location investment, decentralized synchronized advancement strategy, fraction programming
Abstract
This study focuses on an enterprise that wants to expand its business to multiple cities in global and to be one of well-known multinational enterprises (MNEs). Suppose the enterprise utilizes the wholly owned market entry strategy, as well as the decentralized synchronized (market) advancement strategy (DSAS) to achieve the purpose. DSAS refers to expanding business by decentralizing the available amount of capital budget into each planning investment location and investing them concurrently. Consider the MNE hopes each planning investment subsidiary gleans a specific target return within a constant time horizon. Under DSAS, this paper proposes an optimization model to find the optimal allocation policy of capital investment, which minimize the time required to realize the MNE’s concerned objective. Due to the nonlinear characteristics of the proposed models, a solution procedure developed upon the piecewise-linear approximation and fraction programming approaches is used for resolving the proposed model.
Copyright
© The authors.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Chang, Cheng-Chang
AU  - Chen, Yan-Kwang
AU  - Hsu, Wen-Chieh
DA  - 2006/10/05
TI  - A DSAS-Based Minimum Makespan Model for Multi-location Investment Using Fractional Programming
BT  - 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.25
DO  - https://doi.org/10.2991/jcis.2006.25
ID  - Chang2006
ER  -