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

A Maximum Achievement Model for a Interdependent Multi-location Investment Problem Using Goal Programming and Piecewise - Linear Approximation

Authors
Cheng-Chang Chang 0, Chung Yung 1, Wang 2
Corresponding Author
Cheng-Chang Chang
0Graduate School of Decision Science, National Defense Management College, National Defense
1Graduate School of Decision Science, National Defense Management College, National Defense
2Graduate School of Decision Science, National Defense Management College, National Defense
Available Online October 2006.
DOI
https://doi.org/10.2991/jcis_2006.342How to use a DOI?
Keywords
multi-location investment, goal programming, piecewise-linear
Abstract
Consider 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 MNE hopes each planning investment subsidiary gleans a specific target return within a constant time horizon. Under this premise, this paper proposes two optimization models to find the optimal allocation policy of capital investment, which maximize the degree of realization of the MNE’s concerned objective. Due to the nonlinear characteristics of the proposed models, a solution procedure developed upon the piecewise-linear approximation and goal programming techniques is used for resolving the models.
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Proceedings
9th Joint International Conference on Information Sciences (JCIS-06)
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
978-90-78677-01-7
DOI
https://doi.org/10.2991/jcis_2006.342How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Cheng-Chang Chang
AU  - Chung Yung
AU  - Wang
PY  - 2006/10
DA  - 2006/10
TI  - A Maximum Achievement Model for a Interdependent Multi-location Investment Problem Using Goal Programming and Piecewise - Linear Approximation
BT  - 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/jcis_2006.342
DO  - https://doi.org/10.2991/jcis_2006.342
ID  - Chang2006/10
ER  -