A STUDY OF MULTI-ECHELON INVENTORY SYSTEMS WITH STOCHASTIC CAPACITY AND INTERMEDIATE PRODUCT DEMAND

 
 
 
 

A STUDY OF MULTI-ECHELON INVENTORY SYSTEMS WITH STOCHASTIC CAPACITY AND INTERMEDIATE PRODUCT DEMAND

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dc.contributor.advisor Ciarallo, Frank en_US
dc.contributor.author Niranjan, Suman en_US
dc.date.accessioned 2009-04-10T08:06:08Z
dc.date.available 2009-04-10T08:06:08Z
dc.date.created 2008 en_US
dc.date.issued 2009-04-10T08:06:08Z
dc.identifier.uri http://rave.ohiolink.edu/etdc/view?acc_num=wright1217523912 en_US
dc.identifier.uri http://hdl.handle.net/2374.OX/107888
dc.description The research in this dissertation involves the study of several multi-echelon inventory systems with stochastic capacity and intermediate product demand. Specifically we analyze the behavior of the system which consists of several intermediate product demands. The analysis is primarily three fold i) developed update (relational) equations for all the multi-echelon inventory systems under several inventory allocation policies, ii) develop two simulation optimization approaches 1) OptQuest framework, and 2) IPA (Infinitesimal Perturbation Analysis) framework, used to minimize the total cost of the inventory systems that satisfy the desired customer service level, iii) obtain numerical results for all the multi-echelon inventory systems under several scenarios and instances, and an extensive analysis and implications of the results. The research done in this dissertation differ from earlier works, since it considers a complex (combination of serial and assembly systems) multi-period multi-echelon inventory system with several sources of demand (specifically intermediate product demands). We obtain the best found base-stock levels for each node in the system that satisfies the required customer service level. A SIO (Simulation based Inventory Optimization) approach is used to obtain the best found base-stock level for the system under several inventory allocation policies. We consider a system which is closer to the actual world and can be used to solve contemporary issues like, 1) manufacturing firm that produces finished products as well as spare parts, 2) manufacturer-warehouse-distribution center-retail outlets etc. I am not aware of any work that studies the impact of inventory allocation polices for multi-period in a multi-echelon inventory system, and obtains best found base stock level for each node using an IPA framework. Moreover the best found base-stock level for each node is obtained under realistic conditions like stochastic demand, stochastic capacity, and lead time. en_US
dc.format application/pdf en_US
dc.format 343p. en_US
dc.rights unrestricted en_US
dc.rights Copyright and permissions information available at the source archive en_US
dc.subject Simulation Optimization en_US
dc.subject Base-stock en_US
dc.subject Infinitesimal Perturbation Analysis en_US
dc.subject OptQuest en_US
dc.subject multi-echelon en_US
dc.subject intermediate product demand en_US
dc.title A STUDY OF MULTI-ECHELON INVENTORY SYSTEMS WITH STOCHASTIC CAPACITY AND INTERMEDIATE PRODUCT DEMAND 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 Engineering PhD en_US
dc.degree.grantor Wright State University en_US
dc.contributor.publisher Wright State University / OhioLINK en_US

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