We consider an assemble-to-order generalized M-system with multiple components and multiple products, batch ordering of components, random lead times, and lost sales. We model the system as an infinite-horizon Markov decision process and seek an optimal policy that specifies when a batch of components should be produced (i.e., inventory replenishment) and whether an arriving demand for each product should be satisfied (i.e., inventory allocation). We characterize optimal inventory replenishment and allocation policies under a mild condition on component batch sizes via a new type of policy: lattice-dependent base stock and lattice-dependent rationing. © 2014 INFORMS
This thesis examines two complex, dynamic problems by employing the theory of Markov De-cision Proce...
Nous analysons un type W de système de l’Assemble-à-commande avec des délais de livraison aléatoires...
This thesis studies inventory and production management and performance eval-uation in assemble-to-o...
Cataloged from PDF version of article.We consider an assemble-to-order generalized M-system with mul...
We consider an assemble-to-order M-system with multiple components, multiple products, batch orderin...
We consider an assemble-to-order (ATO) system with multiple products, multiple components which may ...
We consider an assemble-to-order (ATO) system with multiple products, multiple components which may ...
We consider the optimal production and inventory control of an assemble-to-order system with m compo...
This thesis examines two complex, dynamic problems by employing the theory of Markov Decision Proces...
We consider an assemble-to-order system with multiple products, multiple components which may be dem...
<p>This thesis examines two complex, dynamic problems by employing the theory of Markov</p> <p>Decis...
Abstract: We consider the optimal control of an assemble-to-order (ATO) system with m components, a ...
We analyze a W-configuration assemble-to-order system with random lead times, random arrival of dema...
We consider an assemble-to-order (ATO) N-system, in which there are two components and two products....
Assemble-to-order (ATO) systems can be regarded as a multiple resource allocation that induces produ...
This thesis examines two complex, dynamic problems by employing the theory of Markov De-cision Proce...
Nous analysons un type W de système de l’Assemble-à-commande avec des délais de livraison aléatoires...
This thesis studies inventory and production management and performance eval-uation in assemble-to-o...
Cataloged from PDF version of article.We consider an assemble-to-order generalized M-system with mul...
We consider an assemble-to-order M-system with multiple components, multiple products, batch orderin...
We consider an assemble-to-order (ATO) system with multiple products, multiple components which may ...
We consider an assemble-to-order (ATO) system with multiple products, multiple components which may ...
We consider the optimal production and inventory control of an assemble-to-order system with m compo...
This thesis examines two complex, dynamic problems by employing the theory of Markov Decision Proces...
We consider an assemble-to-order system with multiple products, multiple components which may be dem...
<p>This thesis examines two complex, dynamic problems by employing the theory of Markov</p> <p>Decis...
Abstract: We consider the optimal control of an assemble-to-order (ATO) system with m components, a ...
We analyze a W-configuration assemble-to-order system with random lead times, random arrival of dema...
We consider an assemble-to-order (ATO) N-system, in which there are two components and two products....
Assemble-to-order (ATO) systems can be regarded as a multiple resource allocation that induces produ...
This thesis examines two complex, dynamic problems by employing the theory of Markov De-cision Proce...
Nous analysons un type W de système de l’Assemble-à-commande avec des délais de livraison aléatoires...
This thesis studies inventory and production management and performance eval-uation in assemble-to-o...