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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 53731 (06)
- University: Sharif University of Technology
- Department: Chemical and Petroleum Engineering
- Advisor(s): Rashtchian, Davood; Vafa, Ehsan
- Abstract:
- According to the competitive nature of process industries and the necessity of increasing the efficiency of supply, manufacturing, and distribution operations, the optimization of such activities with an integrated attitude has become a major goal of research in the field of Process Systems Engineering. Lying at the interface of Chemical Engineering and Operations Research, enterprise-wide optimization has become a tool that enables the integrated optimization of different components of an industry to maximize the net profit. Design, Planning, Scheduling, and Control are four major operational items within such an optimization that may be simultaneously considered; among which, Planning and Scheduling play a key role in enterprise-wide optimization of a batch production plant. This is because different products are manufactured using the same facilities at the same time in such plants. Therefore, deciding on how to share the existing facilities for different production activities becomes crucial. Pharmaceutical Industry is one of the most important sectors that relies on batch processing. Since the effective times on market for pharmaceutical products have become shorter with the advance of technology, the uncertain times to market for products being developed have become an entangled characteristic of modeling production plants in this industry. In this work, a stochastic programming model has been developed for integrated planning-scheduling optimization of a pharmaceutical batch production plant, considering the uncertain times to market for the products being developed. Results of this model imply the significance of considering such uncertainty in optimizing the production plan and schedule of a pharmaceutical batch plant
- Keywords:
- Enterprise-Wide Optimization (EWO) ; Mixed Integer Linear Programming ; Stochastic Programming ; Integrated Planning ; New Product Development ; Pharmaceutical Industry ; Integrated Planning and Scheduling Optimization
