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Load planning for shipments of low density products

dc.contributor.authorHaessler, Robert W.en_US
dc.contributor.authorBrian Talbot, F.en_US
dc.date.accessioned2006-04-10T13:51:15Z
dc.date.available2006-04-10T13:51:15Z
dc.date.issued1990-01-25en_US
dc.identifier.citationHaessler, Robert W., Brian Talbot, F. (1990/01/25)."Load planning for shipments of low density products." European Journal of Operational Research 44(2): 289-299. <http://hdl.handle.net/2027.42/28752>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6VCT-48MYHSS-FH/2/fcd7ff677183430ce48519acbc30670cen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/28752
dc.description.abstractThis paper presents a complex computer-based heuristic procedure for sizing customer orders and developing three dimensional load diagrams for rail and truck shipment of low density products. This heuristic procedure was developed for, and is in various phases of implementation at, a large multinational U.S.-based consumer products company. Products are shipped daily in high volume from inventory in corrugated containers of various sizes depending on the product package sizes and customer requirements. Vehicles used include railcars, truck trailers and tandem truck trailers, which also vary in size depending upon need and availability. In most cases, product volume or material handling considerations limit the amount of product loaded into vehicles before weight restrictions are met. Hence, the emphasis here is on low density products. The procedure developed has been demonstrated to significantly increase vehicle utilization, and improve customer service. It is fast and accurate enough to be used in real time during the order entry process. It has also been used successfully in a vehicle feasibility study of single versus tandem trailers.en_US
dc.format.extent849793 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleLoad planning for shipments of low density productsen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelManagementen_US
dc.subject.hlbsecondlevelIndustrial and Operations Engineeringen_US
dc.subject.hlbsecondlevelEconomicsen_US
dc.subject.hlbtoplevelBusinessen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumSchool of Business Administration, The University of Michigan, Ann Arbor, MI 48109-1234, USAen_US
dc.contributor.affiliationumSchool of Business Administration, The University of Michigan, Ann Arbor, MI 48109-1234, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/28752/1/0000582.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0377-2217(90)90364-Hen_US
dc.identifier.sourceEuropean Journal of Operational Researchen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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