A Analysis of Productivity Improvement in the Construction Sector

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Abstract

The highly complex problems in the construction sector today are a particular concern and are crucial in resolving current construction conflicts. Poor planning, unclear objectives, ineffective communication, and management and resource issues are the main causes of failure in construction projects. The most common problems are a) unclear inventory, b) irregular workflows, c) lack of employee training and competency development, d) lack of integration of analytical data for communication, e) immature planning, unclear environment, poor budgeting and risk management, f) unmeasurable targets, and g) a large number of human resources who are not yet competent in their respective fields.

This ineffectiveness will certainly affect productivity in construction performance, both from internal and external factors, thereby influencing project implementation, which requires us to provide quality management for the construction project itself and the community. Several solutions to improve construction performance productivity are 1) Regularly updating inventories, 2) Using IT to create structured workflows, 3) Focusing on employee training and development, 4) Integrating analytical data into construction,  Setting realistic goals, and targets to be achieved, and 5) Competent human resources. The method used is MANOVA (Multivariate Analysis of Variance) statistics and is realized in SEM (Structural Equation Modeling). The results obtained are an effective model for increasing productivity in the construction sector.