Abstract
A manufacturing system capable of processing multiple part types generates input, at a given rate, R, to a set of m cells. Each cell processes a certain type of parts and has its own production and buffer capacities. We study the problem of allocating the production rate, R, among the m cells, such that the total throughput over all m cells will be maximized, while the blocking probabilities will be kept below a given set of limits. An optimization problem is formulated, which maximizes a concave function over a convex set. An algorithm is developed, which fully exploits the problem structure and efficiently generates the optimal solution. Several extensions of the model are also discussed.
| Original language | English |
|---|---|
| Pages (from-to) | 57-65 |
| Journal | INFOR: Information Systems and Operational Research |
| Volume | 25 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Feb 1987 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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