SWDS - Green Team Risk Mitigation Plan12/10/2010

-Green Team Risk Mitigation Plan-

-Author-

Marissa Hornbrook: Project Manager

-Date-

December 10, 2010

1. Document Identification

This Risk Management Plan serves to identify risks associated with the creation and implementation of the Surface Water Detection System (hereafter referred to as SWDS). For each data point, a risk level is assigned and its mitigation step listed.

1.1 Risk Matrix

Probability
Impact / Rare / Unlikely / Possible / Likely / Highly Likely
Very High
High
Moderate / B, C / D
Low / A
Very Low

1.2 Risks and Mitigations

Risk A:

Scheduling Risks

Information delay

  • Concerning the cities specific network system
  • Concerning sensor locations

Equipment delay

  • Manufacturing delay on mounting system
  • Manufacturing delay on road sign (putting the lights on the custom sign)

Mitigation A:

Concerning information delay, it is classified as (Low/Unlikely) that the client taking more time to decide sensor location placement and equipment production would cause the project to fail. It may increase the completion timeline however; this would be partially the client’s responsibility to decide on fast efficient placement of sensors to complete in a timely fashion to mitigate this risk.

Risk B:

Financial Risks

Additional unforeseen expenses

  • Additional parts needed that aren’t mentioned in budget
  • Manufacturing costs increase

Contract Penalties

  • Associated with equipment delay that could cause a late delivery for the project

Mitigation B:

The financial risks with this portion of the project are classified as (Moderate/Possible) because it is the common case that planning does not take into account every expenditure. This could drive up the cost for the client, and will be absolved by adding in an overhead expense to the price quote.

Risk C:

Technical Risks

Technology Availability

  • City doesn’t have a network system to piggy back
  • Outsourcing to third party to build network

Mitigation C:

This risk is classified at level (Moderate/Possible) due to the fact that this is a likely scenario. Despite research efforts, the information on the city of Norfolk’s networking capabilities is not readily available. It is unknown exactly which of the two scenarios the development team will encounter when attempting to integrate the networked solution into the existing infrastructure. For that reason, it is possible that the networking may need to be outsourced to accommodate the functionality of the product. This risk will be addressed by meeting with the City Engineer and discussing details of this project and feasibility.

Risk D:

Marketing Risks

Customer Risk

  • City isn’t interested in purchasing product without monetary investment return

Mitigation D:

This risk is classified at level (Moderate/Likely) because it is quite possible that local cities will not want to purchase the SWDS if their return is mainly on public safety and alleviating emergency staff. These undefined benefits cannot be measured quantitatively, only estimated subjectively. The elucidation of this would be to identify an alternative customer and market to them. It has been proposed that SWDS team should consider insurance agencies because they have a vested interest in the data that the SWDS would provide. This being the case, insurance companies can choose to confirm or deny policyholder claims based on the data from our system.

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