| Efficient management of supply chains has become a crucial component in the operations of a modern day enterprise. To remain competitive and profitable in a competitive environment, every organization must operate as a single intelligent enterprise, with every department collaborating toward common goals and objectives. Papers are invited in the general area of supply chain management that address the developments in the state-of-the-art of supply chain management solutions, elaborate on the challenges faced by the industry, and discuss future directions in this field. Areas of interest include (but are not limited to) enterprise resource planning, forecasting and demand management, supply chain network design and optimization, strategic and operational planning and scheduling. Application papers offering insights into the interplay between theory and practice in an enterprise setting are particularly encouraged. |
Design Of Responsive Supply Chains Under Demand Uncertainty Fengqi You and Ignacio E. Grossmann, Dept of Chemical Engineering, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213 |
Strategic Optimization Of Global Supply Chains Matt H. Bassett, Dow AgroSciences, 9330 Zionsville Rd., Indianapolis, IN 46268 and Leslie Gardner, Operations Management and Mathematics, University of Indianapolis, 1400 East Hanna Avenue, Indianapolis, IN 46227 |
Operational Planning Of A Multisite Production And Distribution Network Peter M. Verderame, Munawar A. Shaik and Christodoulos A. Floudas, Department of Chemical Engineering, Princeton University, Engineering Quadrangle, Princeton, NJ 08544 |
Integrated Production and Supply Planning of Multi-Site Petrochemical Complexes Young Kim1, Il Kang1, Choamun Yun1, Sunwon Park1 and L. T. Fan2, (1)Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea, (2)Department of Chemical Engineering, Kansas State University, 1005 Durland Hall, Manhattan, KS 66506 |
Supply Chain Optimization for Efficiency and Robustness Objectives Aviral Shukla1, Vishal Agarwal2, Leaelaf M. Hailemariam1 and Venkat Venkatasubramanian1, (1)School of Chemical Engineering, Purdue University, 480 Stadium Mall Drive, West Lafayette, IN 47907, (2)School of Industrial Engineering, Purdue University, 315 N. Grant Street, West Lafayette, IN 47907-2023 |
A Model for Control and Planning of Supply Chains Under Random Total Demand Pedro Huitzil-Meléndez, Posgrado, Instituto Mexicano del Petroleo, Eje Central Lázaro Cárdenas 152, Col. San Bartolo Atepehuacan, México, D.F., 07730, Mexico, Angel Soriano, Programa de Matematicas Aplicadas y Computación, Instituto Mexicano del Petróleo and Patricia López-Rivera, Programa de Matemáticas Aplicadas y Computación., Instituto Mexicano del Petróleo |
Supply Chain Planning and Execution: How to Handle the Gap Jun-hyung Ryu, Dept. of Chem. Engng., POSTECH, Hyuoja-dong, Kyungbuk, Pohang, 790-784, South Korea and In-Beum Lee, Chem. Engng., POSTECH, Hyuoja-dong, Kyungbuk, Pohang, 790-784, South Korea |
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