Level: Intermediate
TCM Section(s):
11.4. Quality and Quality Management
8.1. Project Control Plan Implementation
Venue: 2023 AACE International Conference & Expo
Abstract: With the new age of rapidly evolving data analytics, the focus of project controls activities has shifted more to the information as an outcome of data. Project controls quality is a true measure of the effectiveness of the project controls in providing reliable, actionable, and timely information to empower senior/project management’s decision making. It is important to recognize that there is also a cost to having poor quality such as bad decisions, chaos resulting in poor morale, and client/stakeholders dissatisfaction. Considering the reliability of the data’s direct correlation with quality control, it is more important than ever to build robust integrated quality control processes in project controls. The five basic project controls quality control pillars can be defined as: purpose (why is the data required?), accuracy (is information sufficiently accurate?), information content (does it add value?), communication (is the information and communication clear and unambiguous?), final checks and balances (is the information checked, reviewed, and approved?).
With this paper, the authors will demonstrate methodologies:
TCM Section(s):
11.4. Quality and Quality Management
8.1. Project Control Plan Implementation
Venue: 2023 AACE International Conference & Expo
Abstract: With the new age of rapidly evolving data analytics, the focus of project controls activities has shifted more to the information as an outcome of data. Project controls quality is a true measure of the effectiveness of the project controls in providing reliable, actionable, and timely information to empower senior/project management’s decision making. It is important to recognize that there is also a cost to having poor quality such as bad decisions, chaos resulting in poor morale, and client/stakeholders dissatisfaction. Considering the reliability of the data’s direct correlation with quality control, it is more important than ever to build robust integrated quality control processes in project controls. The five basic project controls quality control pillars can be defined as: purpose (why is the data required?), accuracy (is information sufficiently accurate?), information content (does it add value?), communication (is the information and communication clear and unambiguous?), final checks and balances (is the information checked, reviewed, and approved?).
With this paper, the authors will demonstrate methodologies:
- to integrate quality control five pillars within project controls activities throughout project life cycle- from planning to execution, and close out of the project.
- to measure the effectiveness of the project control quality control (PCQC) initiatives with creation of the key performance indicators for the five pillars of project controls quality control.