Classical inventory models provide optimal results for a wide variety of problems but do not apply directly to random yield systems. While random yield problems have been extensively studied, little attention has been given to multiple product systems. We present a queueing analysis of multiple product systems with setups and random yield and utilize these results to develop basestock production strategies for both backlogging and lost sales (or expediting). These results are related to bounds on the optimal production strategy. We present theoretical and applicable results for manufacturing environments and discuss other areas of application.PhDApplied SciencesIndustrial engineeringOperations researchUniversity of Michigan, Horace H. Rackh...
A single item inventory model with one retailer and two suppliers is considered. The retailer does n...
This paper presents an economic order quantity (EOQ) inventory model with partial backordering, wher...
This paper studies a multi-stage multi-product production and inventory planning problem with random...
This paper provides procedures for setting optimal, or near-optimal, basestock levels in a multi-pro...
This paper shows how to set basestock levels in a multiproduct system with setups and random yields....
Random yield occurs if production processes are imperfect and therefore produce defective items. Exa...
Most systems are characterized by uncertainties that cause throughput to be highly variable, for exa...
Most systems are characterized by uncertainties that cause throughput to be highly variable, for exa...
This paper considers a single-stage make-to-stock production–inventory system under random demand an...
This paper considers a single-stage make-to-stock production–inventory system under random demand an...
Two main contributors to the uncertainty of production systems are capacity and random yield; theref...
We consider a manufacturing system with stochastic demand and predictable production yield. The manu...
Summarization: This paper reviews some recent applications of queueing theory and convex analysis in...
Abstract: This paper reviews some recent applications of queueing theory and convex analysis in dete...
We analyze a single-item periodic-review inventory system with random yield and finite capacity oper...
A single item inventory model with one retailer and two suppliers is considered. The retailer does n...
This paper presents an economic order quantity (EOQ) inventory model with partial backordering, wher...
This paper studies a multi-stage multi-product production and inventory planning problem with random...
This paper provides procedures for setting optimal, or near-optimal, basestock levels in a multi-pro...
This paper shows how to set basestock levels in a multiproduct system with setups and random yields....
Random yield occurs if production processes are imperfect and therefore produce defective items. Exa...
Most systems are characterized by uncertainties that cause throughput to be highly variable, for exa...
Most systems are characterized by uncertainties that cause throughput to be highly variable, for exa...
This paper considers a single-stage make-to-stock production–inventory system under random demand an...
This paper considers a single-stage make-to-stock production–inventory system under random demand an...
Two main contributors to the uncertainty of production systems are capacity and random yield; theref...
We consider a manufacturing system with stochastic demand and predictable production yield. The manu...
Summarization: This paper reviews some recent applications of queueing theory and convex analysis in...
Abstract: This paper reviews some recent applications of queueing theory and convex analysis in dete...
We analyze a single-item periodic-review inventory system with random yield and finite capacity oper...
A single item inventory model with one retailer and two suppliers is considered. The retailer does n...
This paper presents an economic order quantity (EOQ) inventory model with partial backordering, wher...
This paper studies a multi-stage multi-product production and inventory planning problem with random...