853 - 853 |
Special Issue: Focapo-2003 - Foreward Grossmann IE, McDonald CM |
855 - 861 |
Challenges of strategic supply chain planning and modeling Shapiro JF |
863 - 870 |
Supporting supply chain planning and scheduling decisions in the oil and chemical industry Lasschuit W, Thijssen N |
871 - 896 |
A general modeling framework for the operational planning of petroleum supply chains Neiro SMS, Pinto JM |
897 - 911 |
Logistics for world-wide crude oil transportation using discrete event simulation and optimal control Cheng LF, Duran MA |
913 - 927 |
Integrating collaborative planning and supply chain optimization for the chemical process industry (I) - methodology Berning G, Brandenburg M, Gursoy K, Kussi JS, Mehta V, Tolle FJ |
929 - 941 |
Pharmaceutical supply chains: key issues and strategies for optimisation Shah N |
943 - 953 |
Application of high throughput technologies to drug substance and drug product development Gardner CR, Almarsson O, Chen HM, Morissette S, Peterson M, Zhang Z, Wang S, Lemmo A, Gonzalez-Zugasti J, Monagle J, Marchionna J, Ellis S, McNulty C, Johnson A, Levinson D, Cima M |
955 - 969 |
Design of process operations using hybrid dynamic optimization Barton PI, Lee CK |
971 - 983 |
Optimization under uncertainty: state-of-the-art and opportunities Sahinidis NV |
985 - 992 |
Multi-company collaborative supply chain management with economical and environmental considerations Turkay M, Oruc C, Fujita K, Asakura T |
993 - 999 |
Pinch analysis for aggregate production planning in supply chains Singhvi A, Madhavan KP, Shenoy UV |
1001 - 1019 |
Efficient short-term scheduling of refinery operations based on a continuous time formulation Jia ZY, Ierapetritou M |
1021 - 1038 |
Optimal resource investment and scheduling of tests for new product development Maravelias CT, Grossmann IE |
1039 - 1058 |
Dynamic programming in a heuristically confined state space: a stochastic resource-constrained project scheduling application Choi J, Realff MJ, Lee JH |
1059 - 1068 |
An MILP framework for batch reactive scheduling with limited discrete resources Mendez CA, Cerda J |
1069 - 1085 |
A new robust optimization approach for scheduling under uncertainty: I. Bounded uncertainty Lin XX, Janak SL, Floudas CA |
1087 - 1103 |
Modeling and solving real-time scheduling problems by stochastic integer programming Sand G, Engell S |
1105 - 1119 |
A strategy for MINLP synthesis of flexible and operable processes Pintaric ZN, Kravanja Z |
1121 - 1129 |
A bilevel programming framework for enterprise-wide process networks under uncertainty Ryu JH, Dua V, Pistikopoulos EN |
1131 - 1144 |
Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices Chen CL, Lee WC |
1145 - 1156 |
Optimal waste reduction and investment planning under uncertainty Chakraborty A, Malcolm A, Colberg RD, Linninger AA |
1157 - 1166 |
Evolution of multivariate statistical process control: application of independent component analysis and external analysis Kano M, Hasebe S, Hashimoto I, Ohno H |