Abstract
In this paper, a multistage manufacturing system is considered. Each stage consists of a process which is subject to random deterioration with time. A mathematical model is developed for this problem to minimize the cost of maintenance (process adjustments), quality, and penalties for unfulfilled demand for items. The model finds optimal initial settings of the process means and optimal cycle lengths. A Hook and Jeeves search algorithm is used to optimize the model, and a numerical example is provided. Sensitivity analysis of the given model is presented. Finally, some suggestions for improving performance of the process are presented.
| Original language | English |
|---|---|
| Pages (from-to) | 66-73 |
| Number of pages | 8 |
| Journal | Production Planning and Control |
| Volume | 9 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1998 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Hooke and Jeeves search algorithm
- Maintenance
- Multistage production system
- Process deterioration
- Process optimization
ASJC Scopus subject areas
- Computer Science Applications
- Strategy and Management
- Management Science and Operations Research
- Industrial and Manufacturing Engineering
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