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dc.contributor.advisorJang, Wooseungeng
dc.contributor.authorBono, Karaeng
dc.date.issued2011eng
dc.date.submitted2011 Springeng
dc.descriptionTitle from PDF of title page (University of Missouri--Columbia, viewed on August 27, 2012).eng
dc.descriptionThe entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file.eng
dc.descriptionThesis advisor: Dr. Wooseung Jangeng
dc.descriptionIncludes bibliographical references.eng
dc.descriptionM.S. University of Missouri--Columbia 2011.eng
dc.descriptionDissertations, Academic -- University of Missouri--Columbia -- Industrial engineering.eng
dc.description"May 2011"eng
dc.description.abstractGiven the rising cost of energy, this research studies the effect of energy cost on logistics decisions by analyzing the effect on inventory ordering policies for production systems with constant production rates but small, underlying possibilities for undesirable circumstances to threaten the production schedules. Rather than fulfilling any emergency demand with a more expensive and energy cost sensitive emergency order, the proposed model extends the classic EOQ model to provide multiple, more cost effective, options to fulfill the emergency demand. Under explicit energy cost considerations, the objective of this model is to determine optimal sizes for scheduled order quantity, safety stock, and inventory cycle length that minimize the expected cost per unit time of a product. In order to investigate the effect of energy cost on inventory decisions as well as investigate the environments in which the proposed inventory model is most cost effective, the proposed inventory model is analyzed and compared to the traditional EOQ model while many of the model parameters are varied. The results of this analysis suggest that the environments most significantly affected by energy cost and most receptive to the proposed inventory model consist of high levels of at least one of the following key parameters: product weight, regular demand, or emergency demand.eng
dc.format.extentxi, 122 pageseng
dc.identifier.urihttp://hdl.handle.net/10355/14957
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartof2011 Freely available theses (MU)eng
dc.relation.ispartofcommunityUniversity of Missouri-Columbia. Graduate School. Theses and Dissertations. Theses. 2011 Theseseng
dc.subjectenergy costeng
dc.subjectlogistics decisionseng
dc.subjectinventory ordering policieseng
dc.subjecteconomic order quantityeng
dc.titleExtension of EOQ model with emergency orders and explicit energy cost considerationseng
dc.typeThesiseng
thesis.degree.disciplineIndustrial engineering (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelMasterseng
thesis.degree.nameM.S.eng


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