Al-Nory, Malak T. and Brodsky, Alexander and Bozkaya, Burçin and Graves, Stephen C. (2014) Desalination supply chain decision analysis and optimization. Desalination, 347 . pp. 144-157. ISSN 0011-9164 (Print) 1873-4464 (Online)
This is the latest version of this item.
Official URL: http://dx.doi.org/10.1016/j.desal.2014.05.037
Abstract
The desalination industry has been growing progressively in the last few decades. A large number of new plants are contracted every year. Strategic decisions related to plant locations and capacity, the selection of the desalination technology, and many other technical decisions related to the plant design and operation are very critical to these strategic investments. Viewing the desalination industry network as a supply chain provides a holistic view allowing decision makers to perform optimization of water desalination operations end to end. The methodology we propose provides the decision makers with (1) a set of investment alternatives comprising combinations of the different desalination locations, capacities, technologies, and energy sources, and (2) a decision graph showing the performance of each decision alternative in terms of quantitative and qualitative performance metrics chosen by the decision maker. The case study of Saudi Arabia, the world leader in desalination, shows how the methodology can present strategic planners with an optimal configuration of the desalination supply chain.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Desalination; Supply chain; Decision analysis; Strategic planning; Optimization modeling |
Divisions: | Sabancı Business School Sabancı Business School > Operations Management and Information Systems |
Depositing User: | Burçin Bozkaya |
Date Deposited: | 14 Dec 2014 20:57 |
Last Modified: | 02 Aug 2019 15:23 |
URI: | https://research.sabanciuniv.edu/id/eprint/25951 |
Available Versions of this Item
-
Desalination supply chain decision analysis and optimization. (deposited 11 Jan 2014 11:14)
- Desalination supply chain decision analysis and optimization. (deposited 14 Dec 2014 20:57) [Currently Displayed]