English  |  正體中文  |  简体中文  |  Items with full text/Total items : 57403/90944 (63%)
Visitors : 13105798      Online Users : 242
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/55891

    Title: Case‐based allocation of onsite supervisory manpower for construction projects
    Authors: Chen, Jieh-Haur;Yang, Li-Ren;Chen, W.-H.;Chang, C.-K.
    Contributors: 淡江大學企業管理學系
    Keywords: Allocation;human resource management;onsite;overheads;supervisory manpower costs
    Date: 2008-08
    Issue Date: 2011-09-02 09:56:53 (UTC+8)
    Publisher: Abingdon: Routledge
    Abstract: In the highly competitive worldwide construction industry, a slight inaccuracy of estimation can easily cause the loss of a project. Erroneous experience‐based cost estimates or allocations of onsite supervisory manpower often offset the profit gained from the project and may even jeopardize the management processes. To counter these types of problems, we develop a model using mathematical analysis and case‐based reasoning to automate the allocation of onsite supervisory manpower and its costs. The method is founded upon laborious data collection processes and analysis by matching statistical assumptions, and is applicable to construction projects for residential buildings, industrial office buildings, commercial buildings and industrial construction. In the modelling the costs and allocation of onsite supervisory manpower are quantified for both owners and contractors before initiating or bidding on the projects. The findings confirm that the degree of variation of the model predictions has an accuracy rate at 88.47%. Single‐site construction projects with the following characteristics: a non‐crashing schedule, a floor area of less than 35 000 m2, a height of less than 50m, can be accurately predicted and the assignment of supervisory manpower feasibly automated.
    Relation: Construction Management and Economics 26(8), pp.805-814
    DOI: 10.1080/01446190802014778
    Appears in Collections:[Graduate Institute & Department of Business Administration] Journal Article

    Files in This Item:

    File SizeFormat

    All items in 機構典藏 are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback