Journal
AUTOMATION IN CONSTRUCTION
Volume 121, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.autcon.2020.103423
Keywords
Perishable materials; Ready-mix concrete; Construction supply chain; Covariance matrix adaptation evolution strategy (CMA-ES); Coordination; Integration; BIM
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Despite advancements in project management through digitalization and automation, efficient use of digital data for supply chain coordination is still lacking. This paper introduces an approach that allows data-driven and schedule-oriented supply chain coordination to address demand fluctuations. Through a demonstration on a construction project, the approach is shown to improve responsiveness in concrete planning and ordering, ultimately enhancing collaboration between suppliers and contractors.
Although advancements have been made in the management of projects due to the digitalization and automation technologies, the efficient use of digital data is still lacking for the coordination of the supply chain. This paper presents an approach that allows data-driven and schedule-oriented supply chain coordination in the face of demand fluctuations. The approach consists of two main steps that contractors should take: 1) monitor the demand fluctuations based on a 4D model that captures the as-built status and updated look-ahead schedules, 2) make decisions to modify original orders to accommodate the demand fluctuations where orders are determined by a heuristic evolutionary algorithm. As a proof of concept, the coordination approach is demonstrated using an example project featuring a five-day in-situ construction of concrete walls. Results from this example show that using the approach improves the responsiveness of concrete planning and ordering. As a result, this leads to improved collaboration between suppliers and contractors in construction projects.
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