Download - Construction Productivity Improvement:
Construction Productivity Improvement: Construction Productivity Improvement:
Overview• This research investigates industry practices
and develop tools to improve construction productivity of future Alberta construction projects. This will be done by investigating the most critical factors that affect construction productivity and also determining their individual and cumulative impact on project performance. Three specific contributing areas will be considered are human issues, management issues and external issues.
• The expected deliverables of this research are a root analysis to identify the triggering situations that affect construction productivity, a situation based model to predict construction productivity, a set of practical guidelines, and a pro-active simulation model to plan team dynamics of future projects.
Project Management
Specialization Research Team: Dr. Janaka Ruwanpura, Dr. George Jergeas, Eldon Choy, Kasun Hewage,Sushil Peres da Silva, Tanveer Ahmed (Phase II), Markus Liberda (Phase I).
Human, External and Management Issues Human, External and Management Issues
Rank Factor Category Rating*1 Lack of detailed planning Management 37.13
2 Worker experience and skills Human 35.30
3 Inadequate supervision Management 35.25
4 Worker motivation Human 26.15
5 Non availability of materials Management 25.60
6 Worker attitude and morale Human 21.75
7 Team-spirit of the crew Human 20.40
8 Non availability of information Management 19.20
9 Changes in drawings and specifications External 18.85
10 Non availability of tools Management 18.75
11 Non availability of equipment Management 18.60
12 Nature of project (size and complexity) Management 17.94
13 Lack of procedures for construction methods External 16.40
14 Changes in contract External 11.95
15 Congested work area External 11.60
Phase I: Pilot Study
•Results based on 22 highly experienced industry experts in
Alberta Construction Industry•Average 27 years of construction experience•51 factors are identified in three categories
•Human•Management•External
Human Management External Data collection from 53 participants from Graham, Ellis-Don, PCL, and Ledcor. The participants recognize important factors that affect construction productivity.
Relative Importance of Factors (only Frequency > 14 are illustrated)
Statistics of each Factor
Comments on each Factor
Phase IIa: Factors Analysis
Identified factors are further combined into clusters based on the discussion between the research participants and the research team. These clusters are more logical for the industry to understand reasons for productivity performances.
Phase IIb: Clusters Analysis
Dr. JANAKA Y. RUWANPURA, PQS. Assistant Professor Project Management Specialization Department of Civil Engineering University of Calgary ENF 232, 2500 University Drive NW Calgary, AB, T2N 1N4, Canada. 403-220-6892 (Tel), 403-282-7026 (Fax) E-mail: [email protected]
CONTACT
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Cluster Composition
Rankings Rankings (Relative (Relative
Importance)Importance)
Member Factors
Cluster Name
• Changes in Contract
• Constructability
• Changes in Specifications and Drawings
22• Worker Motivation
• Worker attitude and morale
• Team-spirit of the crew
• Disrespectful treatment of worker
33 • Inadequate Communication
44• Worker experience and skills
• Incompetent personnel
• Lack of worker training and education
55• Non-availability of materials
• Non-availability of tools
• Non-availability of information
• Non-availability of equipment
66• Lack of procedures for
construction methods
• Non-availability of materials
• Non-availability of tools
• Non-availability of information
• Non-availability of equipment
• Lack of Detailed Planning
77• Congested work area
• Site layout
• Overcrowded work area
• Cleanliness of construction site
88 • Discontinuity in crews makeup
• Changes in foremen
• Inadequate supervision
99 • Adverse weather conditions
Design and Changes
Worker Motivation
Inadequate Communication
Worker Skills
Non-availability of Information
Lack of Planning
Congested Work Area
Inadequate Supervision
Adverse Weather
