A novel scheduling model for pharmaceutical industries using heuristic techniques

This paper proposes a novel mathematical model and scheduling system for real pharmaceutical industries (PI). To consider general characteristics of the PI, the proposed model employed a strategy to address a mixed integer linear programming (MILP) formulation. Heuristic techniques were then develop...

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Bibliographic Details
Published in2008 International Conference on Control, Automation and Systems pp. 2198 - 2202
Main Authors Jiyong Kim, Hyerim Kim, Il Moon
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2008
Subjects
Automatic control
Chemical industry
Continuous production
Heuristic technique
Inductors
Inventory management
Job shop scheduling
Manufacturing industries
Mathematical model
MILP
Optimization
Pharmaceutical industry
Pharmaceuticals
Scheduling
Time factors
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Summary:This paper proposes a novel mathematical model and scheduling system for real pharmaceutical industries (PI). To consider general characteristics of the PI, the proposed model employed a strategy to address a mixed integer linear programming (MILP) formulation. Heuristic techniques were then developed to solve complex scheduling problems for PI such as critical and bottleneck operations. These techniques are also helpful to reduce calculation time. The objective function of the proposed model is to minimize the total operation time (makespan) which is subject to the mass balance constraints and process boundary conditions. An illustrative case study is presented to demonstrate the features and capabilities of the proposed scheduling system.
ISBN:8995003898
9788995003893
DOI:10.1109/ICCAS.2008.4694464