Optimal sequence-dependent job scheduling of packing process with multiple non-identical machines in tablet production

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Publication Details

Author listSodsangaroonngam A., Soontravanich C., Khompatraporn C.

PublisherTrans Tech Publications

Publication year2014

Volume number548-549

Start page1046

End page1050

Number of pages5

ISBN9783038350842

ISSN1660-9336

eISSN1662-7482

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84901802331&doi=10.4028%2fwww.scientific.net%2fAMM.548-549.1046&partnerID=40&md5=b93990affe2aa6baec732195fadab190

LanguagesEnglish-Great Britain (EN-GB)


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Abstract

The Government Pharmaceutical Organization (GPO) is one of the largest pharmaceutical manufacturers in Thailand. GPO provides many medicinal products such as tablets and capsules to increase drug access to the Thai population through public hospitals and retail stores. Orders from these customers are accumulated and signal drug production. However, backorder shipments occur frequently and are estimated to worth about 180 million baths (or 6 million USD) a year. Initial study shows that the packing process behaves as a bottleneck, causing delays in the production and consequently to the drug shipments. The packing process utilizes multiple machines with different speeds and capacities. Moreover, instead of setup time in other manufacturing processes, drug production including the packing process requires a clearance process after each job-which is critical in pharmaceutical industry to reduce the risk of crosscontamination between drugs. The clearance time depends on the drug type of the next job. This paper presents a problem of job scheduling using parallel non-identical machines with sequence dependent clearance times. The objective is to minimize the total makespan. The mathematical model of the problem is a mixed integer/binary program. A numerical example from actual packing jobs is used to illustrate its application and solved by Excel Solver software. ฉ (2014) Trans Tech Publications, Switzerland.


Keywords

Parallel non-identical machinesPharmaceutical industryScheduling problemSequence-dependent setup times


Last updated on 2023-23-09 at 07:36