Process 2020 Innovation SatNav
Lead Research Organisation:
University of York
Department Name: The York Management School
Abstract
The key to UK Process Industry success is rapid innovation chain progression from new product identification to delivery and launch. The track record to date is not promising as worldwide the sector as a whole loses over 80bn annually due to poor process design and delay in product deliverables and launch. Traditional project management and concurrent engineering techniques, which focus on integrating and reducing the lead-time for each functional activity, has resulted in no major improvement. The Process Industry is now asking, how can we help our people make decisions which reduce the new product development lead-time, whilst maximising the overall output in terms of value? Using a decisional and complex systems perspective, the proposed project will deliver to the UK process industries, a flexible and adaptive innovation SatNav that can help technical teams and organisations navigate the complex business and technological terrain. This step change improvement in process and decision making will reduce lead-time and costs, whilst maintaining high levels of creativity and innovation. The project will integrate and support the introduction of new products to the markets, which will be underpinned by a multi-level process improvement strategy. This approach will help the UK process industries to competitively bridge the gap between an idea and reality. It will do this by helping them to follow the most parsimonious and effective path of decisions that the process could take, whilst also ensuring that that path enables innovation, creativity and satisfies business drivers and constraints.
Organisations
People |
ORCID iD |
Kieran Fernandes (Principal Investigator) |
Publications
Fernandes K
(2009)
Interactive situation modelling in knowledge-intensive domains
in International Journal of Business Information Systems
LI G
(2011)
ROBUST DYNAMIC PRICING OVER INFINITE HORIZON IN THE PRESENCE OF MODEL UNCERTAINTY
in Asia-Pacific Journal of Operational Research
Paige R
(2010)
Rigorous identification and encoding of trace-links in model-driven engineering
in Software & Systems Modeling
Xiong Y
(2010)
Dynamic pricing model and algorithm for perishable products with fuzzy demand
in Applied Stochastic Models in Business and Industry