Project advancement and its applications to multi-air-route quality budget allocation

Chang, Chi-Ching; Chen, R.-S.

doi:10.1057/palgrave.jors.2602244

Cited by 4 publications

(3 citation statements)

References 30 publications

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“…Not incorporating the soft factors, such as control competence of an organization, into the models of multi-project resource allocation problems to predict all projects' performance is the main gap of the conventional models mentioned above. Chang and Chen [3] proposed an alternative insight, termed Project Advancement (PA), to extend the view of point of project selection and/or scheduling. PA suggests a seven-step list to model a resource allocation problem of multiple projects.…”

Section: Introductionmentioning

confidence: 99%

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

Chang¹,

Yung²,

Wang³

2006

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

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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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Section: Introductionmentioning

confidence: 99%

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

Chang¹,

Yung²,

Wang³

2006

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

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“…Except the aspects mentioned-above, a significant gap is both above traditional models not incorporating the soft factors, such as control competence of organization, into the model to predict a project's implementing performance. Chang and Chen [3] proposed an alternative insight, termed Project Advancement (PA), to extend the view of point of project selection and/or scheduling. Not concerning here with the detail introduction and discussion of PA, but we would like to focus on the application of project advancement strategies defined in PA. PA suggests four types of project advancement strategies, including centralized sequential advancement strategy (CSAS), decentralized synchronized advancement strategy (DSAS), and type I and type II mixed advancement strategies (Type I , Type II MAS).…”

Section: Introductionmentioning

confidence: 99%

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

Chang¹,

Chen²,

Hsu³

2006

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

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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.

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“…This paper presents an alternative approach, namely Project Advancement (PA), to systematically cope with the ad budgeting problem. PA, proposed by Chang and Chen (2006), is a problem-solving tool with focal point to decision-maker to (1) identify the problem-solving situation correctly with which they face; (2) build an effective resource-planning model to achieve the fundamental objective (FO). Assume a decision-maker (at an organizational level) faces with an organizational problem.…”

mentioning

confidence: 99%

Allocation model for theme park advertising budget

Jeng

Chiu

2008

Qual Quant

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Project advancement and its applications to multi-air-route quality budget allocation

Cited by 4 publications

References 30 publications

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

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

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

Allocation model for theme park advertising budget

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