Management Division Seminar Series
Strategic Capacity Management in Manufacturing Industry
Strategic Capacity Management in Manufacturing Industry: Decision-Making Modelling & Stochastic Programming
Dr Ehsan Sabet, Management Division, Nottingham Business School, Nottingham Trent University
- From: Wednesday 26 March 2014, 4 pm
- To: Wednesday 26 March 2014, 6 pm
- Location: NEWN42A, Newton building, Main Entrance, Nottingham Trent University, City Campus, Goldsmith Street, Nottingham, NG1 4BU
The hefty investment requirements of the strategic capacity-related decisions which are hardly reversible, on top of the large management efforts of resource design and planning, often make capacity management very difficult in practice for multi-national and complex manufacturing systems, like those in automotive, aerospace, semiconductors and Pharmaceutical sectors. The Uncertain and often fast-moving business environment, in which many of those systems operate, can also have considerable impacts on the firms’ resource-based strategies and consequently their strategic performances.
Many decision-making models have been proposed over the last 50 years to help managers examine the trade-offs between the possible strategic choices and the impacts of those strategic decisions on design and planning of their resources and performance outcomes of their operations. Many of these models, however, suffer from non-holistic decision terms, non-integrated approaches, non-global modelling capabilities, difficult-to-use frameworks and non-empirical approaches. But most importantly, many of them are unrealistically deterministic and therefore, are not capable of handling market uncertainty and its impact on the long-term resource strategy of the firms, which dramatically reduce the practicality of those models in real applications.
In this talk, firstly the critical capabilities that a global and strategic capacity management model has to carry will be discussed and a comprehensive set of decision terms will be established. Then a scenario-based stochastic programming method will be employed to design and develop a model with the highlighted capabilities and decision factors. Programming and then validation of this model will be briefly explained, subsequently. Finally the model will be employed to explore two industrial-scale cases in practice.
About the Author
Ehsan Sabet is a Lecturer and researcher in Operations Management and Strategy. Before joining Nottingham Business School in 2010, Ehsan was a consultant and programme manager in the power generator gas-turbine and automotive industries for 10 years. Having his background in engineering and material physics, Ehsan carried out his PhD in operations strategy using operational research methodology and mathematical programming techniques. For further information, please visit Ehsan's Linkedin page.
Please book your place by emailing Dr Michael Zhang.
Places are limited, so we recommend booking your place on this seminar as early as possible to avoid disappointment.