title: |
A Maximum Achievement Model for a Interdependent Multi-location Investment Problem Using Goal Programming and Piecewise - Linear Approximation |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
ISBN: |
978-90-78677-01-7 | |
ISSN: |
1951-6851 | |
DOI: |
doi:10.2991/jcis_2006.342 (how to use a DOI) | |
author(s): |
Cheng-Chang Chang, Chung Yung, Wang |
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corresponding author: |
Cheng-Chang Chang |
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publication date: |
October 2006 |
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keywords: |
multi-location investment, goal programming, piecewise-linear |
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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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copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |