Ökad produktivitet vid nyproduktion av flerbostadshus : En implementering av Data Envelopment Analysis i byggprojekt, modellering av ett standardiserat arbetssätt vid uppbyggnad och beklädnad av innerväggar samt konkreta förbättringsförslag utifrån Lean C
Sammanfattning: Productivity growth in the construction industry is low compared to other industries, and a large unnecessary part of a construction worker’s workday is taken up by nonvalue-creating work, such as waiting, or shifting and handling of building materials. Low productivity in construction projects makes it difficult to keep to schedules and can entail costs to construction companies when delays occur. This project aims to evaluate and investigate, on behalf of Skanska Hus Ume˚a, how productivity in the construction of new apartment buildings can be improved. To carry out this assignment, a large number of qualitative and quantitative interviews have been conducted with employees at Skanska. A survey study has also been sent out to investigate how productivity in selected parts of the construction process is experienced by employees at Skanska. The interviews and the survey study have been used as a starting point for the development of mathematical models with the aim of improving the productivity at Skanska Hus in Ume˚a’s construction sites. The project has resulted in a number of proposals for improvements that can be implemented in Skanska’s current working methods to increase productivity at their construction sites. An implementation of the Data Envelopment Analysis optimization model has identified technical effective and ineffective elements in the construction process, indicating which areas Skanska Hus in Ume˚a should focus on improving. Based on these areas, concrete proposals for new working methods have been prepared and presented based on principles and tools within Lean Construction. The degree project has also resulted in a calculation program that standardizes the working method for the construction of interior walls, resulting in increased productivity as well as time and cost savings. Finally, a model for weekly production follow-up has been created to increase employee engagement, ensure high productivity throughout the construction process and create conditions for future productivity development through data collection.
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