Abstract
The global transition towards service orientation is posing challenges in cost estimation for manufacturers driven by the uncertainties that arise at the bidding stage of long-lasting performance-based contracts (i.e. availability). Service uncertainty is driven by the quality of information flow and knowledge across a given service network; however, it commonly suffers from the unavailability of useful data to assist cost predictions. Currently, consideration of cost uncertainty for an industrial product-service system is lacking in literature. To fill this gap, this paper combines literature in service and uncertainty in cost estimation to propose the components of a service delivery system, classification of sources of uncertainty based on supply and demand and the suitable uncertainty modelling methods for service cost estimation. The paper categorises service uncertainties in a demand and supply approach, whilst also allocating the types of uncertainty into aleatory and epistemic to propose suitable uncertainty modelling approaches. For future research, various areas such as consideration of a holistic approach to account for service uncertainties and development of a framework to support inter-linkages across a service network are proposed.
Original language | English |
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Pages (from-to) | 1223-1238 |
Number of pages | 16 |
Journal | International Journal of Advanced Manufacturing Technology |
Volume | 52 |
Issue number | 9-12 |
DOIs | |
Publication status | Published - Feb 1 2011 |
Externally published | Yes |
Keywords
- Cost estimation
- Product-service systems
- Service delivery
- Uncertainty
ASJC Scopus subject areas
- Control and Systems Engineering
- Software
- Mechanical Engineering
- Computer Science Applications
- Industrial and Manufacturing Engineering