Computers & chemical engineering

• 

  Año 2004, Número 6

  • Foreword

    Conor M. McDonald, Ignacio E. Grossmann

    pág. 853

    

  • Challenges of strategic supply chain planning and modeling

    Jeremy F. Shapiro

    págs. 855-861

    

  • Supporting supply chain planning and scheduling decisions in the oil and chemical industry

    Winston Lasschuit, Nort Thijssen

    págs. 863-870

    

  • A general modeling framework for the operational planning of petroleum supply chains

    Sérgio M.S. Neiro, José M. Pinto

    págs. 871-896

    

  • Logistics for world-wide crude oil transportation using discrete event simulation and optimal control

    Marco A. Duran, Lifei Cheng

    págs. 897-911

    

  • Integrating collaborative planning and supply chain optimization for the chemical process industry (I)¿methodology

    Guido Berning, Marcus Brandenburg, Korhan Gürsoy, Franz-Josef Tölle, Vipul Mehta, Jürgen S. Kussi

    págs. 913-927

    

  • Pharmaceutical supply chains: key issues and strategies for optimisation

    Nilay Shah

    págs. 929-941

    

  • Application of high throughput technologies to drug substance and drug product development

    Javier Gonzalez-Zugasti, Doug Levinson, Alasdair Johnson, Joseph Marchionna, Sherry Morissette, Julie Monagle, Zhong Zhang, Steve Ellis, Anthony Lemmo, Szu Wang, Hongming Chen, Michael Cima, Chris McNulty, Colin R. Gardner, Matt Peterson, Orn Almarsson

    págs. 943-953

    

  • Design of process operations using hybrid dynamic optimization

    Cha Kun Lee, Paul I. Barton

    págs. 955-969

    

  • Optimization under uncertainty: state-of-the-art and opportunities

    Nikolaos V. Sahinidis

    págs. 971-983

    

  • Multi-company collaborative supply chain management with economical and environmental considerations

    Kaoru Fujita, Cihan Oruç, Tatsuyuki Asakura, Metin Türkay

    págs. 985-992

    

  • Pinch analysis for aggregate production planning in supply chains

    K.P. Madhavan, Ankit Singhvi, Uday V. Shenoy

    págs. 993-999

    

  • Efficient short-term scheduling of refinery operations based on a continuous time formulation

    Marianthi Ierapetritou, Zhenya Jia

    págs. 1001-1019

    

  • Optimal resource investment and scheduling of tests for new product development

    Ignacio E. Grossmann, Christos T. Maravelias

    págs. 1021-1038

    

  • Dynamic programming in a heuristically confined state space: a stochastic resource-constrained project scheduling application

    Jay H. Lee, Matthew J. Realff, Jaein Choi

    págs. 1039-1058

    

  • An MILP framework for batch reactive scheduling with limited discrete resources

    Carlos A. Méndez, Jaime Cerdá

    págs. 1059-1068

    

  • A new robust optimization approach for scheduling under uncertainty:: I. Bounded uncertainty

    Stacy L. Janak, Christodoulos A. Floudas, Xiaoxia Lin

    págs. 1069-1085

    

  • Modeling and solving real-time scheduling problems by stochastic integer programming

    S. Engell, G. Sand

    págs. 1087-1103

    

  • A strategy for MINLP synthesis of flexible and operable processes

    Zorka Novak Pintari¿, Zdravko Kravanja

    págs. 1105-1119

    

  • A bilevel programming framework for enterprise-wide process networks under uncertainty

    Efstratios N. Pistikopoulos, Jun-Hyung Ryu, Vivek Dua

    págs. 1121-1129

    

  • Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices

    Wen-Cheng Lee, Cheng-Liang Chen

    págs. 1131-1144

    

  • Optimal waste reduction and investment planning under uncertainty

    Andreas A. Linninger, Andres Malcolm, Richard D. Colberg, Aninda Chakraborty

    págs. 1145-1156

    

  • Evolution of multivariate statistical process control: application of independent component analysis and external analysis

    Iori Hashimoto, Hiromu Ohno, Shinji Hasebe, Manabu Kano

    págs. 1157-1166