Key Last Planner System Metrics to Assess Project Performance in High-Rise Building and Industrial Construction Projects

Author:

Pérez Daniel1ORCID,Lagos Camilo2ORCID,Fernando Alarcón Luis3ORCID

Affiliation:

1. Master of Science Student, Dept. of Construction Engineering and Management, Pontificia Universidad Católica de Chile, Vicuña Mackenna 4860, Macul, Santiago 7820436, Chile. ORCID: .

2. Ph.D. Candidate, Dept. of Construction Engineering and Management, Pontificia Universidad Católica de Chile, Vicuña Mackenna 4860, Macul, Santiago 7820436, Chile (corresponding author). ORCID: .

3. Professor, Dept. of Construction Engineering and Management, Pontificia Universidad Católica de Chile, Vicuña Mackenna 4860, Macul, Santiago 7820436, Chile. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Reference67 articles.

1. Forecasting project schedule performance using probabilistic and deterministic models

2. Alarcón L. S. Diethelm O. Rojo and R. Calderón. 2005. “Assessing the impacts of implementing lean construction.” In Proc. 13th Annual Conf. of the Int. Group for Lean Construction 387–393. Sidney Australia: Univ. of Sidney.

3. Assessing the impacts of implementing lean construction;Alarcón L.;Revista Ingenieria de Construccion,2008

4. Alarcón L. and J. Letelier. 2014. “Using last planner indicators to identify early signs of project performance.” In Proc. 22th Annual Conf. of the Int. Group for Lean Construction 547–558. Oslo Norway: Norwegian Univ. of Science and Technology.

5. Improving construction management practice with the Last Planner System: a case study

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