Redirigiendo al acceso original de articulo en 20 segundos...
ARTÍCULO
TITULO

Production Capability Creation (PCC) for Collaborative Construction Projects ? A Qualitative Study From Finland

Petteri Annunen    
Harri Haapasalo    

Resumen

The construction industry has been suffering from modest productivity development in recent decades. To address the recognized problems, collaborative delivery methods are replacing traditional project delivery models, especially in large and complex projects.The aim of this research is to describe the production capability creation (PCC) process as a solution for planning the production phase. The PCC process should be implemented parallel to the design phase and owned by the production. A qualitative and inductive approach, based primarily on case company interviews, is applied to identify the twelve most important challenges for preplanning in the design phase from a group of different types of stakeholders in construction projects. Based on these challenges, the main areas of PCC are structured, solving the depicted production challenges, enabling a wasteless and cost-efficient production phase to avoid unnecessary delays and problems. Parallel implementation of PCC and design processes of the building naturally also improve the result of the design itself. With PCC, contractors can recognize the need for improvement in their processes but, more importantly, can directly contribute to the design of the building. Described PCC process solves major challenges emerging from the case company interviews. Earlier literature on capability creation is scarce, and for the construction industry it is even more narrow. The PCC process presented in this research enables significant improvement in efficiency and effectiveness, and the elimination of waste in the construction industry.

 Artículos similares

       
 
Xulong Yu, Qiancheng Yu, Qunyue Mu, Zhiyong Hu and Jincai Xie    
Traditional manual visual detection methods are inefficient, subjective, and costly, making them prone to false and missed detections. Deep-learning-based defect detection identifies the types of defects and pinpoints their locations. By employing this a... ver más
Revista: Applied Sciences

 
Gennaro Salvatore Ponticelli, Marianna Gallo, Ilaria Cacciotti, Oliviero Giannini, Stefano Guarino, Andrea Budelli and Roberto Nigro    
Modelling and predicting of the kinetics of microbial growth and metabolite production during the fermentation process for functional probiotics foods development play a key role in advancing and making such biotechnological processes suitable for large-... ver más
Revista: Applied Sciences

 
Luiz Eduardo Nochi Castro, Larissa Resende Matheus, Rosana Rabelo Mançano, William Gustavo Sganzerla, Rafael Gabriel da Rosa, Tiago Linhares Cruz Tabosa Barroso, Vanessa Cosme Ferreira and Leda Maria Saragiotto Colpini    
Brewer?s spent grains (BSG) are a significant by-product of beer production, and its improper disposal poses environmental challenges. This study investigated the use of BSG for activated carbon production with phosphoric acid as a chemical activator and... ver más
Revista: Water

 
Stefano Salata and Taygun Uzelli    
It is well acknowledged that sustainable soil management can play a crucial role in reducing the vulnerability of urban areas, but are soil characteristics properly evaluated in the decision-making process concerning urbanization? Within this work, we co... ver más
Revista: Urban Science

 
Zengkang Lu, Chenglong Yu, Huanan Liu, Jiquan Zhang, Yichen Zhang, Jie Wang and Yanan Chen    
Collapses are one of the most common geological disasters in mountainous areas, which easily damage buildings and infrastructures and bring huge property losses to people?s production and life. This paper uses Huinan County as the study area, and with th... ver más