Managing risk and uncertainty in warranty servicing policy
Lead Research Organisation:
CRANFIELD UNIVERSITY
Department Name: Sch of Applied Sciences
Abstract
Rapid technological advances in many industries, especially in the electronics manufacturing industry, make products obsolete quicker than before. This requires novel approaches to managing risk and uncertainty in making warranty servicing policy. Existing approaches are developed based on estimated warranty claims of each single product but do not sufficiently employ information on the relationships between multiple products. As a result, the global optimisation might not be found and hence huge resources (i.e., capital, raw materials, etc) are wasted. Products are manufactured by the same company and compete about fixed budget, restricted stockroom or limited maintenance manpower; information on the similarities and competing factors can be very useful in searching global optimisation solutions and hence should be utilized. A literature review of warranty servicing has provided very little information specifically in this area.This proposal introduces novel heuristic and hybrid approaches to optimising warranty servicing policy for a batch of different types of products. Models for predicting warranty claims are developed on the basis of sufficiently using information associated with warranty claims, and then a modern portfolio theory based approach is introduced to model risk-sensitive decision making.The investigator will be supported by a 2-year post-doctoral research officer. There will be collaboration with other researchers in the warranty research community (for example, Professor DNP Murthy from the University of Queensland, Australia) and industrial partners (for example, 3Com, www.3com.com). The results of this project will provide the warranty research community with novel approaches to optimising warranty servicing policy and manufacturers with approaches that can save huge resources.
People |
ORCID iD |
Shaomin Wu (Principal Investigator) |
Publications
Akbarov A
(2012)
Forecasting warranty claims considering dynamic over-dispersion
in International Journal of Production Economics
Shaomin Wu
(2010)
Linear and Nonlinear Preventive Maintenance Models
in IEEE Transactions on Reliability
Wu S
(2013)
A review on coarse warranty data and analysis
in Reliability Engineering & System Safety
Wu S
(2012)
Forecasting warranty claims for recently launched products
in Reliability Engineering & System Safety
Description | The project has been completed with 9 papers published in leading research journals, 1 paper published in a book, 2 papers published in international conferences. A workshop was organised to disseminate the outputs developed during this project for the practical use in warranty management. The resulting potential collaboration with Jaguar Land Rover attests to the success of the workshop. The prototype software has been delivered to our industrial partner HP. |
Exploitation Route | The algorithms have been published. Any software firms and manufacturers interested warranty forecasting can use those proved algorithms and benefit from them. |
Sectors | Digital/Communication/Information Technologies (including Software),Electronics,Financial Services, and Management Consultancy,Manufacturing, including Industrial Biotechology,Retail |
Description | From the project, we developed some novel algorithms that were used by the industrial partner (3com and then HP). |
First Year Of Impact | 2011 |
Sector | Digital/Communication/Information Technologies (including Software),Education,Electronics,Manufacturing, including Industrial Biotechology |
Impact Types | Economic |