Abstract
A variety of schedule compression techniques are used to get delayed construction projects “back on tracks”. This paper presents a new optimization approach to schedule crashing by relocating some of the workers from non-critical to critical processes (changing composition of crews using the initial pool of workers) and employing additional resources. The authors describe their idea in the form of a mixed-integer linear problem. A numerical example illustrates the merits of the proposed approach. The method may become a practical support in construction scheduling decisions.
Highlights
Construction projects constitute a particular challenge for managers
The authors put forward a mixed-integer linear program (MILP) to reduce the project duration, as to find a schedule that meets a predefined deadline, by manipulating resources
This paper puts forward a MILP algorithm for compressing schedules by changes in the resource allocation – namely by splitting crews into teams and relocating teams to processes that are reasonable to be accelerated
Summary
The factors that contribute to their unpredictability include the susceptibility of construction processes to weather, uniqueness of designs, high employee turnover rates, various supply-related logistic problems, and high plant failure rate [1]–[9] While these projects are commonly understood as exceptionally difficult to deliver on time, project owners are rigorous about deadlines specified in the contract. Inadequate scheduling tools fail to prevent the planner from misallocating resources, and the resulting workflow disturbance reduces labor productivity, increases the cost of works, and damages the workforce morale. For this reason, the research and project management community strives to develop more practical planning methods. For greater flexibility, employing extra resources is allowed
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