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Estimating the actual production rate of construction machinery which clearly differs from nominal production provided by machinery manufacturers always is a critical challenge in construction projects execution. Studies indicate that true estimation of actual production is a key element in estimating the time and cost required to terminate construction operations. However, current literature shows that it is still a quite challenging to estimate actual production. In particular, there are various independent parameters that affect the actual production rate. Understanding the role and…mehr

Produktbeschreibung
Estimating the actual production rate of construction machinery which clearly differs from nominal production provided by machinery manufacturers always is a critical challenge in construction projects execution. Studies indicate that true estimation of actual production is a key element in estimating the time and cost required to terminate construction operations. However, current literature shows that it is still a quite challenging to estimate actual production. In particular, there are various independent parameters that affect the actual production rate. Understanding the role and importance of each parameter could lead to an accurate estimation for production rates.
Autorenporträt
Dr. Rafsanjani (Ph.D., P.E., ENV SP) ist Direktor des iSC-Lab und hat Forschungsarbeiten im Bereich Datenerfassung und intelligente/nachhaltige Gebäude entwickelt. Er verfügt außerdem über mehr als acht Jahre Erfahrung in verschiedenen Bereichen der Bauindustrie und war sowohl in der Konstruktion als auch in leitenden Positionen tätig.