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| dc.contributor.advisor | Ritchken, Peter | en_US |
| dc.contributor.author | Aka, Mian | en_US |
| dc.date.accessioned | 2008-07-10T14:25:39Z | |
| dc.date.available | 2008-07-10T14:25:39Z | |
| dc.date.created | 1993 | en_US |
| dc.date.issued | 2008-07-10T14:25:39Z | |
| dc.identifier.uri | http://rave.ohiolink.edu/etdc/view?acc_num=case1057092535 | en_US |
| dc.identifier.uri | http://hdl.handle.net/2374.OX/16369 | |
| dc.description | Most replacement models assume that whenever a replacement is needed a spare is immediately available. This assumption implies that lead times are zero or that an inventory is maintained. Typically, the associated costs of managing inventory are ignored. This dissertation explores joint inventory replacement policies for a single unit and for multiple units operating in parallel. Such policies are particularly important when reorder lead times are significant and downtime costs large. Models within this field vary according to cost structures, stochastic processes generating failures, types of failures, permissible preventive actions and objective functions. In addition the status of the system may or may not be continually observable, and information on the failure parameters may or may not be known with certainty. In this work all our models have a common thread. First, the status of all units is continually updated and exact times to failure distributions are known. Second, information regarding the parameters of the failure distributions are known. Third, all units operate independently of each other. Fourth, the objective function in all cases is to minimize the long run average cost per unit of time. Three types of joint inventory/replacement policies are considered. The first two policies are concerned with managing a single operating unit. I n the first policy, an order is placed at a predetermined time s or when the unit fails whichever comes first. A preventive replacement is performed at time T. Failed units are of course replaced as soon as possible. The second policy permits more than one unit of inventory to be held. In particular when the inventory level falls to k, an order of size q units is placed. The third policy is concerned with managing n units working in parallel. To obtain tractable results, however, failure rates are assumed to be constant. | en_US |
| dc.format | application/pdf | en_US |
| dc.format | 113p. | en_US |
| dc.rights | unrestricted | en_US |
| dc.rights | Copyright and permissions information available at the source archive | en_US |
| dc.subject | Joint inventory/replacement policies | en_US |
| dc.title | Joint inventory/replacement policies | en_US |
| dc.type | Electronic Thesis or Dissertation | en_US |
| dc.degree.name | PhD | en_US |
| dc.degree.level | doctoral | en_US |
| dc.degree.discipline | Operations Research | en_US |
| dc.degree.grantor | Case Western Reserve University | en_US |
| dc.contributor.publisher | Case Western Reserve University / OhioLINK | en_US |
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