Level:
TCM Section(s):
Venue: 2023 AACE International Conference & Expo
Abstract: Generally accepted guidelines regarding the execution of forensic schedule analyses recommend the use of critical path delay analysis methods. However, when projects are heavily disrupted these methods (in all their variants) become less reliable, because they fail to properly quantify (and often cannot even consider) the full delaying impact of disruptive events. This paper reviews the close relationship between delay and disruption, highlighting the limitations of CPM when dealing with schedule impacts caused by disruptive factors like productivity losses, rework, workarounds, changes in resources, design and procurement issues, and the cumulative impact of multiple smaller events. The paper proposes the use of system dynamics as the only forensic schedule analysis method able to effectively and accurately account for all the delaying impacts of disruption, and it addresses a series of practical considerations that may be slowing down the method’s adoption.
TCM Section(s):
Venue: 2023 AACE International Conference & Expo
Abstract: Generally accepted guidelines regarding the execution of forensic schedule analyses recommend the use of critical path delay analysis methods. However, when projects are heavily disrupted these methods (in all their variants) become less reliable, because they fail to properly quantify (and often cannot even consider) the full delaying impact of disruptive events. This paper reviews the close relationship between delay and disruption, highlighting the limitations of CPM when dealing with schedule impacts caused by disruptive factors like productivity losses, rework, workarounds, changes in resources, design and procurement issues, and the cumulative impact of multiple smaller events. The paper proposes the use of system dynamics as the only forensic schedule analysis method able to effectively and accurately account for all the delaying impacts of disruption, and it addresses a series of practical considerations that may be slowing down the method’s adoption.