Replenishment planning and control in supply chain management

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dc.contributor.advisorEnns, S.T. (Van)
dc.contributor.authorSuwanruji, Pattita
dc.date.accessioned2005-08-16T17:27:33Z
dc.date.available2005-08-16T17:27:33Z
dc.date.issued2004
dc.descriptionBibliography: p. 247-253en
dc.description.abstractThis research aims to gam insights into the effects of the supply chain factors on performance when using alternative replenishment strategies. The objectives include the development of guidelines to select appropriate strategies and to improve the performance when given a particular strategy. A simulation test bed has been developed to support this research. As well, a methodology based on the statistical analysis of inventory and delivery performance tradeoffs has been developed. This methodology allows main and interaction effects to be evaluated so that material and information flow behaviour can better be understood. The first experiments compare three replenishment strategies, namely Distribution Requirements Planning (DRP), Reorder Point (ROP), and KANBAN, within distribution channels with no capacity constraints. The supply chain factors studied include: supply I chain configuration, demand pattern, lot size, demand uncertainty and transit time uncertainty. A second study extends the research by analyzing the effects of capacity constraints, scrap and assembly processes within a network involving supply, manufacturing and distribution stages. Finally, a study to explore time-phased replenishment strategies (e.g. DRP/MRP) more fully is undertaken. In particular, the effectiveness of safety stock versus safety lead time to protect against variability and uncertainty under capacity constraints is examined. The results from scenarios without capacity constraints show that DRP is the most robust strategy, followed by ROP and KANBAN. Under seasonal demand, DRP always dominates. KANBAN yields inferior performance, especially under seasonal demand. The relative performances are not generally affected much by capacity constraints, scrap and assembly process. The exception is that under some level demand conditions, KANBAN can provide superior performance due to more consistent material flow to capacity-constrained resources. In time-phased strategies with capacity constraints, high demand uncertainty, seasonal demand, and use of some lot-sizing rules can increase replenishment times and induce supply timing uncertainty. The use of safety lead time is found preferable when supply timing uncertainty dominates demand uncertainty. Key Words: Supply Chain Management, Distribution Requirements Planning (DRP), Materials Requirements Planning (MRP), Reorder Point, KANBAN, Simulation.en
dc.format.extentxvi, 313 leaves : ill. ; 30 cm.en
dc.identifier.citationSuwanruji, P. (2004). Replenishment planning and control in supply chain management (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/19550en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/19550
dc.identifier.isbn0612977250en
dc.identifier.lccAC1 .T484 2004 S89en
dc.identifier.urihttp://hdl.handle.net/1880/42037
dc.language.isoeng
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.titleReplenishment planning and control in supply chain management
dc.typedoctoral thesis
thesis.degree.disciplineMechanical and Manufacturing Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameDoctor of Philosophy (PhD)
ucalgary.item.requestcopytrue
ucalgary.thesis.accessionTheses Collection 58.002:Box 1541 520492058
ucalgary.thesis.notesUARCen
ucalgary.thesis.uarcreleaseyen
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