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首页 > 过刊浏览>2020年第48卷第7期 >1077-1082. DOI:10.11908/j.issn.0253-374x.19490
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房地产项目产品线设计
CSTR:
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作者:
作者单位:

1.山东大学 管理学院，山东 济南 250100;2.同济大学 经济与管理学院，上海 200092

作者简介:

孔庆山（1987―），男，讲师，管理学博士，主要研究方向为系统工程、新产品开发管理、房地产开发管理。E-mail: kongqingshan@sdu.edu.cn

通讯作者:

施建刚（1962―），男，教授，博士生导师，管理学博士，主要研究方向为房地产开发管理。E-mail:sjg126com@126.com

中图分类号:

F293

基金项目:

国家社会科学基金（19BGL274）； 中国博士后科学基金（2017M622226）；上海市人民政府决策咨询研究重点项目（2019-A-025-B）；山东省自然科学基金（ZR201702180105）；山东省社会科学基金（17DGLJ06）；中央高校基本科研业务费专项资金（2017GN001）


Product Line Design of Real Estate Project
Author:
Affiliation:

1.School of Management, Shandong University, Ji’nan 250100, China;2.School of Economics & Management, Tongji University,Shanghai 200092, China

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    摘要:

    在政府规制与项目约束下构建了房地产项目产品线设计的多目标规划模型，既包含容积率约束、建筑密度约束和政府限价约束，还包括时间约束、成本约束和资金约束，用以决策房地产项目的产品配比、定价以及推盘策略。根据模型的复杂性选择使用遗传算法计算得到近似最优解。最后通过一个房地产项目算例测试了该模型方法的实用性。

    Abstract:

    A multi-objective planning model for product line design of real estate projects under government constraints and project constraints was established, which included both floor-area ratio constraints, building density constraints and government price constraints, as well as time constraints, cost constraints and funding constraints. The proposed model was used to determine the product mix ratio, pricing and promoting strategy of real estate projects. Due to the complexity of the proposed model, the genetic algorithm was used to obtain the approximate optimal solution. Finally, a real estate project was used to test the practicability of the proposed model.

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孔庆山,林自然,施建刚.房地产项目产品线设计[J].同济大学学报(自然科学版),2020,48(7):1077~1082

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  • 收稿日期:2019-11-24
  • 在线发布日期: 2020-08-04
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