Research of Medicine Cabinet Optimization Design Based on Conditional Multi Level Filter

DOI

10.2991/mmebc-16.2016.41How to use a DOI?

Keywords

Medicine slot, Medicine cabinet, Data filtering, Scheme optimization.

Abstract

The main research of this paper to study the optimization design model of medicine cabinet under the condition of high adaptability and high emission efficiency. Mainly uses mathematical modeling in multi-level screening knowledge, to optimize the design of the medicine cabinet, taking medicine, medicine and convenient at the same time, to ensure that the drug in the push does not occur side-by-side overlap, rollover, horizontal rotation problem. In order to reduce the manufacturing cost of medicine cabinet, and draw a conclusion that for drugs with different width on the medicine groove width type, the vertical baffle spacing type at least for ultimate goal conditions were optimized and the method combined with concrete data to carry on the optimization calculation. On original data given in 1919 PCs specifications, by the width of the box as the main factor analysis, the original data were constraints of multi-level screening, 36 kinds of medicine slot width, further optimize the medicine groove width, identified only need to design three types spacing can accommodate all drugs. Optimization calculation by using the model to the specific data, calculate the box corresponding to each kind of specification, and then obtain the final optimization scheme.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ningning Chen
PY  - 2016/06
DA  - 2016/06
TI  - Research of Medicine Cabinet Optimization Design Based on Conditional Multi Level Filter
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 197
EP  - 201
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.41
DO  - 10.2991/mmebc-16.2016.41
ID  - Chen2016/06
ER  -