Title: A two-stage real estate development project portfolio selection and scheduling decision-making system
Abstract:This research aims to propose a two-stage real estate development project portfolio selection and its scheduling (RED-PPS-S) Decision-making System, which consists of two critical and interrelated dec...This research aims to propose a two-stage real estate development project portfolio selection and its scheduling (RED-PPS-S) Decision-making System, which consists of two critical and interrelated decision-making sub-systems, namely, RED project portfolio selection (RED-PPS) Decision-making System and RED scheduling (RED-S) Decision-making System to solve the practical PPS and scheduling problems in RED decision-making process. When developers engage in multi-project development, an optimal PPS and its scheduling can assist the decision makers to allocate the capital resources efficiently while the risks are mitigated to realize the corporate goals. Extensive literature reviews show that only limited research concerning the critical decision-making phases of RED-PPS and its scheduling have been done as most developers only focus on individual project development, and thus the optimization of the corporate capital resource in RED projects cannot be materialized as they are not considered holistically. Since most Chinese medium-sized developers are required to run multiple development projects simultaneously, the results of this research will assist those developers with the said decision-making phases. Moreover, this research will bridge the research gap by proposing a two-stage RED-PPS-S Decision-making System, which can integrate corporate long-term goals under the optimization objectives of maximize profit and minimize risk, and short-term goals under the optimization objectives of maximizing the minimum value of cumulated net cash flow and minimizing the value of breakeven time of cumulated net cash flow to assist developers’ decision makers to implement optimal capital resource allocation.Read More
Publication Year: 2010
Publication Date: 2010-01-01
Language: en
Type: article
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Cited By Count: 4
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