A strategic decision making model on global capacity management for the manufacturing industry under market uncertainty

Sabet, E, 2012. A strategic decision making model on global capacity management for the manufacturing industry under market uncertainty. PhD, Nottingham Trent University.

[img]
Preview
Text
212391_PhD Thesis- Ehsan Sabet- N0280374 -18 Sep 2012 Rev 08.pdf

Download (10MB) | Preview

Abstract

Multi-national, large-scale and complex manufacturing systems, such as those for automotive manufacturers, often require a significant investment in production capacity, as well as great management efforts in strategic planning. Capacity-related investment decisions are often irreversible or prohibitively expensive and time-consuming to change once they are in place. Furthermore, such companies operate in uncertain business environments, which can significantly influence the optimal decisions and the systems’ performance. Therefore, a strategic question is how to globally and interactively set production resources for such systems so their optimal performance can be achieved under business uncertainty. Conventional optimisation models in this field often suffer from one or more drawbacks, such as deterministic styles, non-inclusive and non-comprehensive decision terms, non-integrated frameworks, non-empirical approaches, small size practices, local/non-global approaches or difficult-to-use methods/presentations. This research develops a new scenario-based multi-stage stochastic optimisation model, which is capable of designing and planning the production capacity for a multi-national complex manufacturing system over a long-term horizon, under demand and sales price uncertainty.

Item Type: Thesis
Creators: Sabet, E.
Date: 2012
Rights: This work is the intellectual property of the author. You may copy up to 5% of this work for private study, or personal, non-commercial research. Any re-use of the information contained within this document should be fully referenced, quoting the author, title, university, degree level and pagination. Queries or requests for any other use, or if a more substantial copy is required, should be directed to the owner of the Intellectual Property Rights.
Divisions: Schools > Nottingham Business School
Depositing User: EPrints Services
Date Added: 09 Oct 2015 09:34
Last Modified: 09 Oct 2015 09:34
URI: http://irep.ntu.ac.uk/id/eprint/113

Actions (login required)

Edit View Edit View

Views

Views per month over past year

Downloads

Downloads per month over past year