| 1 |
Fast genetic algorithm approaches to solving discrete-time mixed integer linear programming problems of capacity planning and scheduling of biopharmaceutical manufacture
Jankauskas K, Papageorgiou LG, Farid SS
Computers & Chemical Engineering, 121, 212, 2019 |
| 2 |
Multi-objective biopharma capacity planning under uncertainty using a flexible genetic algorithm approach
Jankauskas K, Farid SS
Computers & Chemical Engineering, 128, 35, 2019 |
| 3 |
Planning and operation method of the regional integrated energy system considering economy and environment
Wang YL, Wang YD, Huang YJ, Li F, Zeng M, Li JP, Wang XH, Zhang FW
Energy, 171, 731, 2019 |
| 4 |
Strategic decision-making in the pharmaceutical industry: A unified decision-making framework
Marques CM, Moniz S, de Sousa JP
Computers & Chemical Engineering, 119, 171, 2018 |
| 5 |
Simulating Annual Variation in Load, Wind, and Solar by Representative Hour Selection
Blanford GJ, Merrick JH, Bistline JET, Young DT
Energy Journal, 39(3), 189, 2018 |
| 6 |
Power generation capacity planning under budget constraint in developing countries
Afful-Dadzie A, Afful-Dadzie E, Iddrisu A, Banuro JK
Applied Energy, 188, 71, 2017 |
| 7 |
A simulation-optimization approach to integrate process design and planning decisions under technical and market uncertainties: A case from the chemical-pharmaceutical industry
Marques CM, Moniz S, de Sousa JP, Barbosa-Povoa AP
Computers & Chemical Engineering, 106, 796, 2017 |
| 8 |
Inter-temporal R&D and Capital Investment Portfolios for the Electricity Industry's Low Carbon Future
Santen NR, Webster MD, Popp D, Perez-Arriaga I
Energy Journal, 38(6), 1, 2017 |
| 9 |
Tactical capacity planning for semiconductor manufacturing: MILP models and scalable distributed parallel algorithms
Zhou RJ, Li LJ
AIChE Journal, 62(11), 3930, 2016 |
| 10 |
The value of energy storage in decarbonizing the electricity sector
de Sisternes FJ, Jenkins JD, Botterud A
Applied Energy, 175, 368, 2016 |
