Characterization of risk factor management in infrastructure projects

Girardi, Leandro Ranolfi; Rabechini Junior, Roque; Moutinho, José da Assunção

doi:10.1590/0104-530X3011-16

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Articles • Gest. Prod. 25 (1) • Jan-Mar 2018 • https://doi.org/10.1590/0104-530X3011-16 copy

Characterization of risk factor management in infrastructure projects

Authorship SCIMAGO INSTITUTIONS RANKINGS

Abstract

This study aims to understand how risk factor management is characterized in the performance of infrastructure projects. The multiple-case study methodology was used, including the analysis of five projects in two different economic sectors. Empirical evidence suggests that the impact of risk factors in the performance of projects depends on risk management intensity and on the skills of risk managers, but it does not vary with project complexity. Furthermore, the intensity of the analyzed performance dimensions may vary according to the influence of the factors considered.

Keywords:
Infrastructure project; Performance; Risk management; Risk factor; Complexity

Practices/techniques	Process	Ranking
Brainstorming	Identification	8
Regular report on risks	Identification	24
Determination of the likelihood of the risks	Assessment	14
Determination of the impact of the risks	Assessment	3
Order of the risks	Assessment	17
Determination of responsibilities	Reply	2
Planning for risk mitigation	Reply	12
Lists with time limit and action items	Reply	9
Redesign of the project to mitigate the risks	Reply	21
Review of risks identified	Monitoring	16
Periodic review of documents	Monitoring	20
Periodical reporting of the status of the risks	Monitoring	19
Periodical reporting of the risk mitigation plan	Monitoring	25
Report critical risks to the senior manager	Monitoring	6
Analysis of course, deviations and exceptions	Control	26
Redesign of the project	Control	23
Prototyping	Background	7
Simulation	Background	1
Benchmarking	Background	13
Requirements management	Background	10
Supplier management	Background	5
Configuration control	Background	4
Quality control	Background	11
Quality management	Background	15
Training programs	Background	22
Survey of customer satisfaction	Background	18

Parameters	Case 1	Case 2	Case 3	Case 4	Case 5
Segment	Lubrication	Coke	Fuel	Automotive	Transport
State (UF)	RJ	-	PR	SP	-
Budget (R$)	15 million	2,2 billion	1,2 billion	2,8 million	1,5 billion
Labor	100	1500	35	40	300
Duration (months)	13	60	36	12	48
Complexity	System	Matrix	System	Assembly	Matrix

Parameters	Case 1	Case 2	Case 3	Case 4	Case 5
Age (years)	37	60	52	59	44
Experience (years)	17	20	26	30	30
Education	Civil engineer	Civil engineer	Civil engineer	Civil engineer	Computer
Education	Graduation	Master	Graduation	Specialist	Specialist
Certification	Not	PMP	Not	Not	PMP

Risk factors	Dimensions of Performance
Risk factors	P	C	M	A	I	R	Q
Contractual and legal	High	Medium	Medium	Low	High	High	Medium
Financial and economic	Medium	Low	Medium	Medium	Medium	Medium	High
Not controllable forces	Low	Medium	Low	Medium	Medium	Low	Low
Suppliers	High	High	High	High	Medium	High	High
Natural/physical	Medium	Medium	Medium	Low	Medium	Medium	Low
Operational	High	Low	Low	High	High	Medium	High
Planning	High	Medium	High	Medium	High	High	Medium
Political	High	Medium	Medium	Low	Medium	Medium	Low
Procrastination	High	High	High	Medium	High	High	Medium
Safety and social	Low	Low	Low	Medium	Low	Low	Low

Practices	Process	Cases
Brainstorming	Identification	1, 3 and 5
Determination of the impact of the risks	Assessment	3
Determination of responsibilities	Reply	2, 3 and 5
Planning for risk mitigation	Reply	3
Report critical risks to the senior manager	Monitoring	2, 3 and 5
Redesign of the project	Control	1, 2, 3, 4 and 5
Benchmarking	Background	1, 3 and 5
Supplier management	Background	2, 4 and 5
Quality management	Background	3 and 4
Survey of customer satisfaction	Background	1, 3 and 4

Risk factor	Index of Presence
Risk factor	Assembly	System	Matrix
Procrastination	50.00	50.00	100.00
Planning	45.00	62.50	45.71
Natural/physical	26.67	40.00	40.00
Operational	60.00	17.14	25.00
Suppliers	40.00	15.00	50.00
Safety and social	10.00	30.00	30.00
Contractual and legal	15.00	20.00	12.50
Not controllable forces	30.00	25.00	15.00
Political	20.00	7.50	20.00
Financial and economic	16.67	16.67	10.00

Risk factor	P	I	Dimensions more influenced
Procrastination	High	High	Time, cost, changes, integration and risks
Planning	Medium	High	Time, changes, integration and risks
Natural/physical	Low	Medium	Time, cost, changes, integration and risks
Operational	Low	High	Time, integration, activities and quality
Suppliers	Low	High	Time, cost, changes, risks, activities and quality
Safety and social	Low	Low	Time, changes, integration, risks and quality
Contractual and legal	Low	High	Time, integration, risk and quality
Not controllable forces	Low	Low	Time, changes, integration, risks and quality
Political	Low	Medium	Cost, changes, integration and risks
Financial and economic	Low	Medium	Time, changes, integration, risk and activities

Universidade Federal de São Carlos Departamento de Engenharia de Produção , Caixa Postal 676 , 13.565-905 São Carlos SP Brazil, Tel.: +55 16 3351 8471 - São Carlos - SP - Brazil
E-mail: gp@dep.ufscar.br

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[1] Source: Adapted from Raz & Michael (2001)Raz, T., & Michael, E. (2001). Use and benefits of tools for project risk management. International Journal of Project Management, 19(1), 9-17. http://dx.doi.org/10.1016/S0263-7863(99)00036-8.
http://dx.doi.org/10.1016/S0263-7863(99)... .