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dc.contributor.authorHussain, Omar
dc.contributor.authorDillon, Tharam
dc.contributor.authorHussain, Farookh Khadeer
dc.contributor.authorChang, Elizabeth
dc.date.accessioned2017-01-30T12:20:01Z
dc.date.available2017-01-30T12:20:01Z
dc.date.created2012-02-09T20:00:49Z
dc.date.issued2011
dc.identifier.citationHussain, Omar K. and Dillon, Tharam and Hussain, Farookh Khadeer and Chang, Elizabeth. 2011. Probabilistic assessment of loss in revenue generation in demand-driven production. Journal of Intelligent Manufacturing. [In Press]
dc.identifier.urihttp://hdl.handle.net/20.500.11937/20583
dc.identifier.doi10.1007/s10845-011-0518-4
dc.description.abstract

In Demand-driven Production with Just-in-Time inputs, there are several sources of uncertainty which impact on the manufacturer’s ability to meet the required customer’s demand within the given time frame. This can result in a loss of revenue and customers, which will have undesirable impacts on the financial aspects and on the viability of the manufacturer. Hence, a key concern for manufacturers in just-in-time production is to determine whether they can meet a specific level of demand within a given time frame, to meet the customers’ orders and also to achieve the required revenue target for that period of time. In this paper, we propose a methodology by which a manufacturer can ascertain the probability of not meeting the required demand within a given period by considering the uncertainties in the availability of production units and raw materials, and the loss of financial revenue that it would experience as a result.

dc.publisherChapman & Hall
dc.subjectUncertainty
dc.subjectOutage levels
dc.subjectExpected demand
dc.subjectProduction units
dc.subjectJust in time
dc.titleProbabilistic assessment of loss in revenue generation in demand-driven production
dc.typeJournal Article
dcterms.source.issn0956-5515
dcterms.source.titleJournal of Intelligent Manufacturing
curtin.departmentDigital Ecosystems and Business Intelligence Institute (DEBII)
curtin.accessStatusFulltext not available


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