دانلود مقاله ISI انگلیسی شماره 68421
ترجمه فارسی عنوان مقاله

بهینه سازی یکپارچه سازی فرآیند و بهره برداری از منابع چند مهارتی در ساخت و ساز خارج از سایت

عنوان انگلیسی
Optimization of process integration and multi-skilled resource utilization in off-site construction
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
68421 2015 9 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Automation in Construction, Volume 50, February 2015, Pages 72–80

ترجمه کلمات کلیدی
عملیات ساختمانی؛مقطع آموزش انعطاف پذیر ؛ منابع چند مهارتی؛ خارج از سایت تولید، ساخت و ساز پیش ساخته - بهره وری و عملکرد اقدامات؛ مدیریت پروژه؛ یکپارچه سازی فرآیند
کلمات کلیدی انگلیسی
Building operations; Flexible cross-training; Multi-skilled resources; Off-site production; Prefabricated construction; Productivity and performance measures; Project management; Process integration
پیش نمایش مقاله
پیش نمایش مقاله  بهینه سازی یکپارچه سازی فرآیند و بهره برداری از منابع چند مهارتی در ساخت و ساز خارج از سایت

چکیده انگلیسی

Traditional approaches in construction project management assign each process to a trade contractor with an individual specialisation, and trades with the greatest work content (bottlenecks) have a significant influence on the progress rate of projects. A system with integrated processes, however, is able to function dynamically in response to variability in product demand and labour resources. This investigation aims to compare and contrast cross-training strategies that are applicable to off-site construction in order to create multi-skilled resources. To this end, the optimal number of additional skills was formulated as a constrained optimization problem. Then, production data from two prefabricated production facilities in Melbourne and Brisbane, Australia were used to construct a total of 1080 simulation experiments. Tangible performance metrics of systems were used to compare process integration strategies and use of multi-skilled resources. Findings show that choosing optimal process integration architecture depends on the level of capacity imbalance and processing time variability. This investigation optimises the decision making on process integration in off-site construction networks.