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

碩士 === 國防管理學院 === 國防決策科學研究所 === 95 === In this thesis we consider an enterprise entity who wants to extend its business scale in global for sustainable competitive advantage. Therefore, the enterprise hopes to “set-up the basis of long-term business in Asia Market” which is the fundamental objective...

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Main Authors: Li-Yu, Chang, 張力友
Other Authors: Chang-Chang, Chang
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/01903018383321061671
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spelling ndltd-TW-095NDMC16830072016-05-25T04:14:05Z http://ndltd.ncl.edu.tw/handle/01903018383321061671 A Maximum Achievement Model for an Interdependent Multi-location Investment Problem Using Goal Programming and Piecewise-Linear Approximation 多區域投資問題之最大化基礎目標完成度模型─應用目標規劃及可分離凸規劃理論 Li-Yu, Chang 張力友 碩士 國防管理學院 國防決策科學研究所 95 In this thesis we consider an enterprise entity who wants to extend its business scale in global for sustainable competitive advantage. Therefore, the enterprise hopes to “set-up the basis of long-term business in Asia Market” which is the fundamental objective (FO) for initial market extension program. In order to realize the FO, suppose the enterprise had been chosen several cities located in Asia Market, as well as endowed with a business goal and time limit for achievement for each planning investment city (PIC). Such a goal refers to each subsidiary in each PIC has to glean a sufficient returns for extending its scale of operational capital to a certain standard. Assume the enterprise divide the capital investment budget into two majors, which are the environment investment for sale (EIFS) and environment investment for production (EIFP). Assume the EIFS has been planned and therefore is a constant. Also, the enterprise utilizes the “Decentralized Synchronous Advancement Strategy (DSAS)” defined in theory of Project Advancement (PA) to guide the scheduling of this investment program and the policy of fund allocation. Additionally, suppose it is incapable of realizing the FO within the limited time and budget. For this promise, in this thesis we use the Utility Theory and general Non-linear Programming method to construct the maximum achievement (MA) of FO model. Meanwhile, the techniques of Separable Convex Programming and Goal Programming were used to develop the solution procedure of proposed MA model. The optimal solution obtained by this MA model represents the optimal portfolio of capital investment for each production-line of all PICs, which maximizes the degree of realization of FO. The proposed MA model is useful for the business planning of transnational investment on such industry options as Leisure (e.g. KTV, Vacation center or SPA) and Hotel (e.g. MOTEL, HOTEL). Chang-Chang, Chang 張正昌 2007 學位論文 ; thesis 63 zh-TW
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description 碩士 === 國防管理學院 === 國防決策科學研究所 === 95 === In this thesis we consider an enterprise entity who wants to extend its business scale in global for sustainable competitive advantage. Therefore, the enterprise hopes to “set-up the basis of long-term business in Asia Market” which is the fundamental objective (FO) for initial market extension program. In order to realize the FO, suppose the enterprise had been chosen several cities located in Asia Market, as well as endowed with a business goal and time limit for achievement for each planning investment city (PIC). Such a goal refers to each subsidiary in each PIC has to glean a sufficient returns for extending its scale of operational capital to a certain standard. Assume the enterprise divide the capital investment budget into two majors, which are the environment investment for sale (EIFS) and environment investment for production (EIFP). Assume the EIFS has been planned and therefore is a constant. Also, the enterprise utilizes the “Decentralized Synchronous Advancement Strategy (DSAS)” defined in theory of Project Advancement (PA) to guide the scheduling of this investment program and the policy of fund allocation. Additionally, suppose it is incapable of realizing the FO within the limited time and budget. For this promise, in this thesis we use the Utility Theory and general Non-linear Programming method to construct the maximum achievement (MA) of FO model. Meanwhile, the techniques of Separable Convex Programming and Goal Programming were used to develop the solution procedure of proposed MA model. The optimal solution obtained by this MA model represents the optimal portfolio of capital investment for each production-line of all PICs, which maximizes the degree of realization of FO. The proposed MA model is useful for the business planning of transnational investment on such industry options as Leisure (e.g. KTV, Vacation center or SPA) and Hotel (e.g. MOTEL, HOTEL).
author2 Chang-Chang, Chang
author_facet Chang-Chang, Chang
Li-Yu, Chang
張力友
author Li-Yu, Chang
張力友
spellingShingle Li-Yu, Chang
張力友
A Maximum Achievement Model for an Interdependent Multi-location Investment Problem Using Goal Programming and Piecewise-Linear Approximation
author_sort Li-Yu, Chang
title A Maximum Achievement Model for an Interdependent Multi-location Investment Problem Using Goal Programming and Piecewise-Linear Approximation
title_short A Maximum Achievement Model for an Interdependent Multi-location Investment Problem Using Goal Programming and Piecewise-Linear Approximation
title_full A Maximum Achievement Model for an Interdependent Multi-location Investment Problem Using Goal Programming and Piecewise-Linear Approximation
title_fullStr A Maximum Achievement Model for an Interdependent Multi-location Investment Problem Using Goal Programming and Piecewise-Linear Approximation
title_full_unstemmed A Maximum Achievement Model for an Interdependent Multi-location Investment Problem Using Goal Programming and Piecewise-Linear Approximation
title_sort maximum achievement model for an interdependent multi-location investment problem using goal programming and piecewise-linear approximation
publishDate 2007
url http://ndltd.ncl.edu.tw/handle/01903018383321061671
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