back to author index
   
title:
 
A Maximum Achievement Model for a Interdependent Multi-location Investment Problem Using Goal Programming and Piecewise - Linear Approximation
publication:
 
JCIS-2006 Proceedings
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
corresponding author:
 
Cheng-Chang Chang
publication date:
 
October 2006
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.
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.
full text: