A PRAGMATIC APPROACH TO USING RESOURCE LOADING, PRODUCTION, AND LEARNING-CURVES ON CONSTRUCTION PROJECTS

被引:17
|
作者
WIDEMAN, RM
机构
关键词
LEARNING CURVE; PRODUCTIVITY IMPROVEMENT; PROGRESS (PRODUCTION) CURVE; RESOURCE LOADING;
D O I
10.1139/l94-100
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The purpose of this paper is to present some rules of thumb, based on experience, for the early planning of new civil and building construction work. In such construction, resource input (men, materials, equipment, etc.) is varied according to the planned timing and availability of the work. On a well-run site, this resource loading as well as its consequent output follows a distinctive pattern within relatively narrow limits for the whole of the job. Practical considerations of why this should be so are presented. Based on experience, this paper suggests first approximation profiles for both typical resource loading and progress S-curves and shows that the difference could be due to the effects of learning. The basis for calculating the shape of the learning curve and how the application of this concept is limited on a construction site are described. The manner in which an alternative learning curve calculation can be more useful in tracking progress is demonstrated. The significance of these profiles and their relationships for improved planning and tracking of new construction work is suggested. An example of the output from a less well managed project as compared to the planned S-curve is also included.
引用
收藏
页码:939 / 953
页数:15
相关论文
共 50 条
  • [41] Modeling the effects of production pressure on safety performance in construction projects using system dynamics
    Mohammadi, Amir
    Tavakolan, Mehdi
    [J]. JOURNAL OF SAFETY RESEARCH, 2019, 71 : 273 - 284
  • [42] A hybrid risk prioritization approach in construction projects using failure mode and effective analysis
    Karamoozian, Amirhossein
    Wu, Desheng
    [J]. ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT, 2020, 27 (09) : 2661 - 2686
  • [43] Investigating profitability performance of construction projects using big data: A project analytics approach
    Bilal, Muhammad
    Oyedele, Lukumon O.
    Kusimo, Habeeb O.
    Owolabi, Hakeem A.
    Akanbi, Lukman A.
    Ajayi, Anuoluwapo O.
    Akinade, Olugbenga O.
    Delgado, Juan Manuel Davila
    [J]. JOURNAL OF BUILDING ENGINEERING, 2019, 26
  • [44] Effected Factors on Standard Measurement Method Adoption in Construction Projects Using SEM Approach
    Muzafar, S. A.
    Khoiry, Muhamad Azry
    Kassem, Mukhtar A.
    Hamzah, Noraini
    Adafin, Johnson
    Akbar, Anis Rosniza Nizam
    [J]. JURNAL KEJURUTERAAN, 2022, 34 (05): : 887 - 898
  • [45] Understanding laborers' behavioral diversities in multinational construction projects using integrated simulation approach
    Wu, Chengke
    Chen, Chunjiang
    Jiang, Rui
    Wu, Peng
    Xu, Bo
    Wang, Jun
    [J]. ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT, 2019, 26 (09) : 2120 - 2146
  • [46] Modeling labor productivity in construction projects using hybrid SD-DES approach
    Moradi, S.
    Nasirzadeh, F.
    Golkhoo, F.
    [J]. SCIENTIA IRANICA, 2017, 24 (06) : 2752 - 2761
  • [47] Multifunctional Analysis of Construction Contracts Using a Machine Learning Approach
    Qi, Xuan
    Chen, Yongqiang
    Lai, Jingyi
    Meng, Fansheng
    [J]. JOURNAL OF MANAGEMENT IN ENGINEERING, 2024, 40 (02)
  • [48] Hybrid approach for resource optimization and management of bridge projects using bootstrap technique and genetic algorithm
    Sarkar, Debasis
    [J]. INTERNATIONAL JOURNAL OF CONSTRUCTION MANAGEMENT, 2018, 18 (03) : 207 - 220
  • [49] A Pragmatic, Scalable Approach to Correct-by-Construction Process Composition Using Classical Linear Logic Inference
    Papapanagiotou, Petros
    Fleuriot, Jacques
    [J]. LOGIC-BASED PROGRAM SYNTHESIS AND TRANSFORMATION, LOPSTR 2018, 2019, 11408 : 77 - 93
  • [50] A Network Resource Aware Federated Learning Approach using Knowledge Distillation
    Mishra, Rahul
    Gupta, Hari Prabhat
    Dutta, Tanima
    [J]. IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (IEEE INFOCOM WKSHPS 2021), 2021,