Pharmaceutical Industry Case Study

760 Words4 Pages
Scheduling of Pharmaceutical Industry
Scheduling of pharmaceutical industry is more challenging due to greater complexity of processes. An overview on main time framework used in the basic structure of mathematical programming formulations for the production scheduling. The models are based on continuous or discrete time representation. In this paper I study only importance of these time representation and how to use for the scheduling of processes. I also describe the regular and non-regular production scheduling for the multipurpose batch plants.

Keywords: Process scheduling; Multipurpose plants; Discrete time model; Continuous time model; Constraints.

i/i^' order j machines k systems t time slots
I set of order, i ∈ I and
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Therefore it is important to improve production schedules in order to higher utilization of resources, increased flexibility, reduced response time as well as cutting down the cost of production.
Literature Survey
I review mainly two Journal on the topic related to the scheduling of pharmaceutical industry as given by "Discrete and continuous time representations and mathematical models for large production scheduling problems: A case study from pharmaceutical industry".
In this literature, I found that the choice of time representation is an important parameter in the structure and character of a mathematical model for scheduling. There are two types of time representation - Discrete and continuous. I also learned about the Decomposition algorithm which is used when the complexity of the problems are high. I understand and try to formulate the problem given for continuous and discrete time formulation for the comparison of two models, results and
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