Scheduling Complexity of an Automated Cell Manufacturing Process

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Author list: Kaowtain J., Ku H.-M., Pasuwat K.

Publisher: IOP Publishing

Publication year: 2019

Volume number: 1284

Issue number: 1

ISSN: 1742-6588

eISSN: 1742-6596

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073516118&doi=10.1088%2f1742-6596%2f1284%2f1%2f012013&partnerID=40&md5=9e08161bdfd9d098c96a88adb1b2049c

Languages: English-Great Britain (EN-GB)

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Abstract

Osteoarthritis is currently the most prevalent chronic joint disease and is expected to increase continually due to aging population and obesity epidemic. Many methods exist to treat this disease but the most promising one is cell-based therapy which uses chondrocyte cells. Chondrocyte cells are cultivated in an automated cell manufacturing system (ACMS). However, ACMS suffers from long idle time caused by incubation times required to cultivate cells in different samples in different incubators. But before optimization can be used to find an optimal schedule, the complexity of the ACMS scheduling problem is established. Parallel operation of the ACMS was able to process a maximum of 26 samples in a year, while sequential operation yielded only 14. Moreover, if we produce more sample in a year the number of different schedules will increase. Then, the problem has more complicated. ฉ 2019 Published under licence by IOP Publishing Ltd.

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