Abstract
A mixed integer linear programming model is formulated for determining the optimum plan for the expansion of the Saudi Arabian petrochemical industry. The products selected for consideration fall into four categories: propylene derivatives, ethylene derivatives, synthesis gas derivatives, and aromatic derivatives. The model incorporates new variables and constraints, and realistic estimates of production costs, which are calculated based on local conditions in Saudi Arabia. For each production process, the unit production cost is assumed to be a function of production capacity. The input data for each product includes relevant production technologies, capacities, local production costs, and selling price. The solution of the model gives the recommended products under different scenarios of available capital investment and feedstock. The results are reported and analyzed.
| Original language | English |
|---|---|
| Pages (from-to) | 671-687 |
| Number of pages | 17 |
| Journal | Engineering Optimization |
| Volume | 34 |
| Issue number | 6 |
| DOIs | |
| State | Published - Dec 2002 |
Bibliographical note
Funding Information:The authors would like to express gratitude to King Fahd University of Petroleum and Minerals and to SABIC for support of this work under Project # SABIC=2000-07.
Keywords
- Industrial development
- Integer programming models
- Investment models
- Optimization
- Petrochemical industry
ASJC Scopus subject areas
- Computer Science Applications
- Control and Optimization
- Management Science and Operations Research
- Industrial and Manufacturing Engineering
- Applied Mathematics