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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/111270

    Title: 以多代理人模擬施工團隊合作效率之研究
    Other Titles: Multi-agent-based project team collaboration behavior simulation
    Authors: 黃献仁;Huang, Sian-Ren
    Contributors: 淡江大學土木工程學系碩士班
    蔡明修;Tsai, Ming- Hsiu
    Keywords: 溝通;團隊合作;流程效率;代理人模擬;社會網絡;Communication;teamwork;process efficiency;Agent-based modeling;Social networks
    Date: 2016
    Issue Date: 2017-08-24 23:48:32 (UTC+8)
    Abstract: 團隊合作效率的分析是專案管理之重要議題,然而多數學者大多從質化分析的角度進行探討,若能利用電腦模擬進行實驗測試以量化量的方式,相信將能觀察到更細微之現象與結果。為此,本研究結合「社會網絡(Social Network)」及「代理人模擬(Agent-based Simulation)」之理論,利用多代理人模擬工具,建立團隊合作流程效率模擬程式Project Team Collaboration Efficiency Simulator, (PTCES)」。藉以透過模擬的方式,提供專案管理人員針對團隊組織成員的合作網絡(collaborative network)與作業流程進行模擬試驗,找出流程與溝通的瓶頸,從而幫助設計專案團隊。
    Bigger the project size is; more professionals would be involved in the project team. The communications among professional members during the entire project lifecycle is the key to project success (Gould & Joyce 2013). Many essential researches (EmpyGiri et al. 2014, Labarbe & Thiel 2014, Yin et al. 2012, Easley et al. 2003) have been proposed to increasing the collaborative efficiency of project team members. Due to the dynamic and complex natures of projects, many factor-based evaluation models have been addressed to predict or to measure the efficiency of project team members, but the simulation models. Traditional modeling approaches treat a company’s employees, projects, products, customers, and partners as either aggregated averaged quantities or as passive entities or resources in a process; for example, in the discrete-event simulation approach, the project team is treated as a number of processes. Although these approaches can capture organizational dynamics and non-linearity, they ignore the fact that all those people, products, projects, pieces of equipment, assets, etc., are all different and have their own histories, intentions, desires, individual properties, and complex relationships. The agent-based approach is free of such limitations as it suggests that the modeler directly focus on individual objects in and around the organization, their individual behaviors, and their interactions. The agent based model is actually a set of interacting active objects that reflect objects and relationships in the real world and thus is a natural step forward in understanding and managing the complexity of big projects (Anon n.d.). This research is aimed at developing an agent-based project collaboration efficiency simulation model to be an experimental tool for aiding project team design
    Appears in Collections:[土木工程學系暨研究所] 學位論文

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