Order batching and picking optimization in terms of supply chain management (SCM)

dc.contributor.advisor Sigurdur Olafsson
dc.contributor.author Won, Jaeyeon
dc.contributor.department Industrial and Manufacturing Systems Engineering
dc.date 2018-08-25T03:14:49.000
dc.date.accessioned 2020-06-30T07:17:49Z
dc.date.available 2020-06-30T07:17:49Z
dc.date.copyright Thu Jan 01 00:00:00 UTC 2004
dc.date.issued 2004-01-01
dc.description.abstract <p>In distribution center (DC), at the time of forming a batch, by considering the order holding time and picking time in the system, an algorithm based on the first-come, first served based (FCFS) rule is presented. In the proposed algorithm, both order picking factor and order holding factor are used in order to reflect the throughput of the system and response of orders.;Furthermore, some simple batching policies for considering the order holding time in the system are presented. They may result in meeting its customers' requirements for larger numbers of smaller orders and rapid turnaround. They reflect the well-known supply chain management (SCM) concept by taking the customer's need into consideration. Their performance measure of order response time that consists of order picking time and order holding time is evaluated and compared.;Finally, this thesis also develops a new optimization-based joint order batching and picking framework for warehousing and distribution systems. The nested partitions (NP) method that integrates global sampling of the feasible region and local search heuristic is applied to this problem. To speed up the computation, the improved NP-algorithm is developed. Also, by taking the special structure of the problem in account, an improved NP method in terms of small computational time is developed.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/rtd/1204/
dc.identifier.articleid 2203
dc.identifier.contextkey 6091402
dc.identifier.doi https://doi.org/10.31274/rtd-180813-8807
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath rtd/1204
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/65364
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/rtd/1204/r_3158379.pdf|||Fri Jan 14 19:11:22 UTC 2022
dc.subject.disciplines Industrial Engineering
dc.subject.disciplines Operational Research
dc.subject.keywords Industrial and manufacturing systems engineering
dc.subject.keywords Industrial engineering
dc.title Order batching and picking optimization in terms of supply chain management (SCM)
dc.type article
dc.type.genre dissertation
dspace.entity.type Publication
relation.isOrgUnitOfPublication 51d8b1a0-5b93-4ee8-990a-a0e04d3501b1
thesis.degree.level dissertation
thesis.degree.name Doctor of Philosophy
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