[1]秦旋,张赵鑫,朱倩影.采用文献计量可视化知识图谱分析的装配式建筑预制供应链管理[J].华侨大学学报(自然科学版),2021,42(6):709-719.[doi:10.11830/ISSN.1000-5013.202011029]
　QIN Xuan,ZHANG Zhaoxin,ZHU Qianying.Prefabricated Building Precast Supply Chain Management of Visual Knowledge Map Using Bibliometric Method[J].Journal of Huaqiao University(Natural Science),2021,42(6):709-719.[doi:10.11830/ISSN.1000-5013.202011029]
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采用文献计量可视化知识图谱分析的装配式建筑预制供应链管理()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第42卷
期数:
2021年第6期
页码:
709-719
栏目:
出版日期:
2021-11-12

文章信息/Info

Title:
Prefabricated Building Precast Supply Chain Management of Visual Knowledge Map Using Bibliometric Method
文章编号:
1000-5013(2021)06-0709-11
作者:
秦旋;  张赵鑫;  朱倩影
华侨大学 土木工程学院, 福建 厦门 361021
Author(s):
QIN Xuan;  ZHANG Zhaoxin;  ZHU Qianying
College of Civil Engineering, Huaqiao University, Xiamen 361021, China
关键词:
装配式建筑;  预制供应链管理;  文献计量;  知识图谱
Keywords:
prefabricated building;  precast supply chain management;  bibliometrics;  knowledge mapping
分类号:
TU9
DOI:
10.11830/ISSN.1000-5013.202011029
文献标志码:
A
摘要:
为掌握装配式建筑预制供应链管理的发展现状和挖掘未来研究机会,以Web of Science核心合集数据库为数据来源,通过严格定义检索关键词,收集2000-2019年装配式建筑预制建设管理活动相关英文文献105篇.从发文量和年度分布、期刊和作者影响力、关键术语共现和主题分类等几个方面展开分析,并基于VOSviewer软件实现可视化知识图谱.根据聚类色谱图选取每个主题的典型文献进行讨论,检视和分析预制供应链管理的现状、空白和关键研究.结果表明:生产调度在资源配置、动态扰动、优化目标之间的平衡和求解算法等方面还需做更深入探索;预制供应链的动态管理包括动态扰动的风险评估、预防和响应等,是改善预制供应链管理绩效的重要切入点;基于建筑信息模型(BIM)、无线射频识别(RFID)技术、物联网等信息技术的智能供应链将是未来主流方向;预制供应链风险管理研究对完善预制供应链管理理论起到很好的补充作用.
Abstract:
In order to grasp the development status of prefabricated building precast supply chain management and explore future research opportunities, taking the core collection database of Web of Science as data source, 105 English literatures related to prefabricated building precast construction management activities during 2000-2019 years were collected by defining search keywords strictly. Based on VOSviewer software, the visualization knowledge map was realized by analyzing the numbers of papers and annual distribution, the influence of journals and authors, co-occurrence of key terms and the classification of topics. Typical literatures on each topic were selected based on cluster chromatograms to review and analyze the status, blanks and key research of precast supply chain management. The result shows that, further exploration is needed in resource allocation, dynamic disturbance, balance between optimization objectives and solving algorithm of production scheduling. The dynamic management of precast supply chain includes risk assessment, prevention and response of dynamic disturbance. It is an important entry point to improve the performance of precast supply chain management. Based on the information technologies such as building information modeling(BIM), radio frequency identification(RFID)technology and internet of things, intelligent supply chain will be the mainstream direction in the future. Precast supply chain risk management research plays a good complementary role in improving the prefabrication supply chain management theory.

参考文献/References:

[1] 国务院办公厅.关于大力发展装配式建筑的指导意见[J].建材发展导向,2016,14(24):14-16.
[2] 郭正兴,朱张峰,管东芝.装配整体式混凝土结构研究与应用[M].南京:东南大学出版社,2018.
[3] WANG Zhaojing,HU Hao,GONG Jie.Framework for modeling operational uncertainty to optimize offsite production scheduling of precast components[J].Automation in Construction,2018,86(4):69-80.DOI:10.1016/j.autcon.2017.10.026.
[4] 管文玉,凌卫青.基于文献计量的数字孪生研究可视化知识图谱分析[J].计算机集成制造系统,2020,26(1):18-27.DOI:10.13196/j.cims.2020.01.002.
[5] 丁学东.文献计量学基础[M].北京:北京大学出版社,1992.
[6] CHAN W T, HU Hao.An application of genetic algorithms to precast production scheduling[J].Computers and Structures,2001,79(17):1605-1616.DOI:10.1016/S0045-7949(01)00036-0.
[7] HU Hao,CHAN W T.Production scheduling for precast plants using a flow shop sequencing model[J].Journal of Computing in Civil Engineering,2002,16(3):165-174.DOI:10.1061/(ASCE)0887-3801(2002)16:3(165).
[8] LEU S,HWANG S.GA-based resource-constrained flow-shop scheduling model for mixed precast production[J].Automation in Construction,2002,11(4):439-452.DOI:10.1016/S0926-5805(01)00083-8.
[9] KO C H,WANG Shufan.GA-based decision support systems for precast production planning[J].Automation in Construction,2010,19(7):907-916.DOI:10.1016/j.autcon.2010.06.004.
[10] KO C H,WANG S F.Precast production scheduling using multi-objective genetic algorithms[J].Expert Systems with Applications,2011,38(7):8293-8302.DOI:10.1016/j.eswa.2011.01.013.
[11] KHALILI A,CHUA D K.Integrated prefabrication configuration and component grouping for resource optimization of precast production[J].Journal of Construction Engineering and Management,2014,140(2):4013051-4013052.DOI:10.1061/(ASCE)CO.1943-7862.0000798.
[12] WANG Zhaojing,HU Hao,GONG Jie.Modeling worker competence to advance precast production scheduling optimization[J].Journal of Construction Engineering and Management,2018,144(11):4018091-4018098.DOI:10.1061/(ASCE)CO.1943-7862.0001556.
[13] WANG Zhaojing,HU Hao.Improved precast production-scheduling model considering the whole supply chain[J].Journal of Computing in Civil Engineering,2017,31(4):4017011-4017013.DOI:10.1061/(ASCE)CP.1943-5487.0000667.
[14] YANG Zhitian,MA Zhiliang,WU Song.Optimized flowshop scheduling of multiple production lines for precast production[J].Automation in Construction,2016,72:321-329.DOI:10.1016/j.autcon.2016.08.021.
[15] WANG Zhaojing,HU Hao.Dynamic response to demand variability for precast production rescheduling with multiple lines[J].International Journal of Production Research,2018,56(16):5386-5401.DOI:10.1080/00207543.2017.1414970.
[16] LI S H A,TSERNG H P,YIN S Y L,et al.Aproduction modeling with genetic algorithms for a stationary precast supply chain[J].Expert Systems with Applications,2010,37(12):8406-8416.DOI:10.1016/j.eswa.2010.05.040.
[17] KO C H.An integrated framework for reducing precast fabrication inventory[J].Journal of Civil Engineering and Management,2010,16(3):418-427.DOI:10.3846/jcem.2010.48.
[18] KONG Liulin,LI Heng,LUO Hanbin,et al.Optimal single-machine batch scheduling for the manufacture, transportation and JIT assembly of precast construction with changeover costs within due dates[J].Automation in Construction,2017,81:34-43.DOI:10.1016/j.autcon.2017.03.016.
[19] KONG Liulin,LI Heng,LUO Hanbin,et al.Sustainable performance of just-in-time(JIT)management in time-dependent batch delivery scheduling of precast construction[J].Journal of Cleaner Production,2018,193:684-701.DOI:10.1016/j.jclepro.2018.05.037.
[20] ANVARI B,ANGELOUDIS P,OCHIENG W Y.A multi-objective GA-based optimisation for holistic manufacturing, transportation and assembly of precast construction[J].Automation in Construction,2016,71:226-241.DOI:10.1016/j.autcon.2016.08.007.
[21] YIN S Y L,TSERNG H P,WANG J C,et al.Developing a precast production management system using RFID technology[J].Automation in Construction,2009,18(5):570-577.DOI:10.1016/j.autcon.2009.02.004.
[22] WANG Zhaojing,HU Hao,ZHOU Wei.RFID Enabled knowledge-based precast construction supply chain[J].Computer-Aided Civil and Infrastructure Engineering,2017,32(6):499-514.DOI:10.1111/mice.12254.
[23] WANG Zhaojing,HU Hao,GONG Jie.Simulation based multiple disturbances evaluation in the precast supply chain for improved disturbance prevention[J].Journal of Cleaner Production,2018,177:232-244.DOI:10.1016/j.jclepro.2017.12.188.
[24] ARASHPOUR M,BAI Y,ARANDA-MENA G,et al.Optimizing decisions in advanced manufacturing of prefabricated products: Theorizing supply chain configurations in off-site construction[J].Automation in Construction,2017,84:146-153.DOI:10.1016/j.autcon.2017.08.032.
[25] LUO Lizi,CHAO Mao,SHEN Liyin,et al.Risk factors affecting practitioners’ attitudes toward the implementation of an industrialized building system: A case study from China[J].Engineering Construction and Architectural Management,2015,22(6):622-643.
[26] ARASHPOUR M,WAKEFIELD R,BLISMAS N,et al.Optimization of process integration and multi-skilled resource utilization in off-site construction[J].Automation in Construction,2015,50:72-80.DOI:10.1016/j.autcon.2014.12.002.
[27] ARASHPOUR M,WAKEFIELD R,ABBASI B,et al.Optimal process integration architectures in off-site construction: Theorizing the use of multi-skilled resources[J].Architectural Engineering and Design Management,2017,1(1):1-14.DOI:10.1080/17452007.2017.1302406.
[28] LI C Z,HONG Jingke,XUE Fan,et al.Schedule risks in prefabrication housing production in Hong Kong: A social network analysis[J].Journal of Cleaner Production,2016,134:482-494.DOI:10.1016/j.jclepro.2016.02.123.
[29] LI C Z,SHEN G Q,XU Xiaoxiao,et al.Schedule risk modeling in prefabrication housing production[J].Journal of Cleaner Production.2017,153:692-706.DOI:10.1016/j.jclepro.2016.11.028.
[30] LI C Z,XU Xiaoxiao,SHEN G Q,et al.A model for simulating schedule risks in prefabrication housing production: A case study of six-day cycle assembly activities in Hong Kong[J].Journal of Cleaner Production,2018,185:366-381.DOI:10.1016/j.jclepro.2018.02.308.
[31] MOSTAFA S,CHILESHE N.Application of discrete-event simulation to investigate effects of client order behaviour on off-site manufacturing performance in Australia[J].Architectural Engineering and Design Management,2018,14(1/2):139-157.DOI:10.1080/17452007.2017.1301367.
[32] XUE Hong,ZHANG Shoujian,SU Yikun,et al.Effect of stakeholder collaborative management on off-site construction cost performance[J].Journal of Cleaner Production,2018,184:490-502.DOI:10.1016/j.jclepro.2018.02.258.
[33] 刘义川,刘贵文,傅晏,等.装配式建筑预制构件生产调度文献综述[J].项目管理技术,2019,17(4):20-25.
[34] MARICHELVAM M K,PRABAHARAN T,YANG X S.Improved cuckoo search algorithm for hybrid flow shop scheduling problems to minimize makespan[J].Applied Soft Computing Journal,2014,19:93-101.DOI:10.1016/j.asoc.2014.02.005.
[35] MARICHELVAM M K,TOSUN ?,GEETHA M.Hybrid monkey search algorithm for flow shop scheduling problem under makespan and total flow time[J].Applied Soft Computing,2017,55:82-92.DOI:10.1016/j.asoc.2017.02.003.
[36] 秦旋,房子涵,张赵鑫.混合共生生物搜索算法求解置换流水车间调度问题[J].浙江大学学报(工学版),2020,54(4):712-721.DOI: 10.3785/j.issn.1008-973X.2020.04.010.
[37] 王艳,丁宇.动态柔性作业车间优化调度与决策方法[J].系统仿真学报,2020,32(11):2073-2083.DOI:10.16182/j.issn1004731x.joss.20-0732
[38] 周圆圆,陈辉.基于Witness仿真的紧急订单插单问题研究[J].物流工程与管理,2021,43(4):20-22.DOI:10.3969/j.issn.1674-4993.2021.04.007.
[39] 李珍萍,李腾飞.考虑交货期的生产运输联合优化问题研究[J].数学的实践与认识,2021,51(1):265-276.DOI:10.16301/j.cnki.cn12-1204/f.2020.06.046.
[40] 徐立云,程赞,宓宏,等.基于改进变邻域搜索算法的成型机分批重调度优化[J].同济大学学报(自然科学版),2020,48(10):1460-1469.DOI:10.11908/j.issn.0253-374x.19406.

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备注/Memo

备注/Memo:
收稿日期: 2020-11-13
通信作者: 秦旋(1969-),女,教授,博士,博士生导师,主要从事建筑业可持续发展的研究.E-mail:hdwq@hqu.edu.cn.
基金项目: 福建省自然科学基金资助项目(2019J01050)http://www.hdxb.hqu.edu.cn
更新日期/Last Update: 2021-11-20