Triggered Concurrent Batch Arrivals and Batch Departuresin Queueing Networks
Discrete Event Dynamic Systems
A Simple and Effective Component Procurement Policy for Stochastic Assembly Systems
Queueing Systems: Theory and Applications
A General Decomposition Algorithm for Parallel Queues with Correlated Arrivals
Queueing Systems: Theory and Applications
Optimal Control of a High-Volume Assemble-to-Order System
Mathematics of Operations Research
Optimal capacity planning in stochastic loss networks with time-varying workloads
Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Revisiting stochastic loss networks: structures and algorithms
SIGMETRICS '08 Proceedings of the 2008 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Queueing Systems: Theory and Applications
Managing an Assemble-to-Order System with Returns
Manufacturing & Service Operations Management
The Value of Component Commonality in a Dynamic Inventory System with Lead Times
Manufacturing & Service Operations Management
Improved approximations for the Erlang loss model
Queueing Systems: Theory and Applications
No-Holdback Allocation Rules for Continuous-Time Assemble-to-Order Systems
Operations Research
On the probability distribution of join queue length in a fork-join model
Probability in the Engineering and Informational Sciences
Mathematics of Operations Research
Optimal control of price and production in an assemble-to-order system
Operations Research Letters
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We study a multicomponent, multiproduct production and inventory system in which individual components are made to stock but final products are assembled to customer orders. Each component is produced by an independent production facility with finite capacity, and the component inventory is controlled by an independent base-stock policy. For any given base-stock policy, we derive the key performance measures, including the probability of fulfilling a customer order within any specified time window. Computational procedures and numerical examples are also presented. A similar approach applies to the generic multi-item make-to-stock inventory systems in which a typical customer order consists of a kit of items.