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The (Q, r) Inventory Policy in Production : Inventory Systems
Joon-Seok Kim 한국산업경영시스템학회 2008 한국산업경영시스템학회 학술대회 Vol.2008 No.춘계
We examine the effectiveness of the conventional (Q, r) model in managing production-inventory systems with finite capacity, stochastic demand, and stochastic order processing times. We show that, for systems with finite production capacity, order replenishment lead times are highly sensitive to loading and order quantity. Consequently, the choice of optimal order quantity and optimal reorder point can vary significantly from those obtained under the usual assumption of a load-independent lead time. More importantly, we show that for a given (Q, r) policy the conventional model can grossly under or over-estimate the actual cost of the policy. In cases where a setup time is associated with placing a production order, we show that the optimal (Q, r) policy derived from the conventional model can, in fact, be infeasible
The Effect of (Q, r) Policy in Production-Inventory Systems
Joon-Seok Kim,Uk Jung 한국경영과학회 2009 Management Science and Financial Engineering Vol.15 No.1
We examine the effectiveness of the conventional (Q, r) model in managing production-inventory systems with finite capacity, stochastic demand, and stochastic order processing times. We show that, for systems with finite production capacity, order replenishment lead times are highly sensitive to loading and order quantity. Consequently, the choice of optimal order quantity and optimal reorder point can vary significantly from those obtained under the usual assumption of a load-independent lead time. More importantly, we show that for a given (Q, r) policy the conventional model can grossly under or over-estimate the actual cost of the policy. In cases where a setup time is associated with placing a production order, we show that the optimal (Q, r) policy derived from the conventional model can, in fact, be infeasible.
Comparison of (s, S) and (R, T) Policies in a Serial Supply Chain with Information Sharing
Jin Kyung Kwak 한국경영과학회 2013 Management Science and Financial Engineering Vol.19 No.1
It has been studied that retailer’s using a suboptimal (R, T) policy is often more desirable to make the best use of information flows than the locally optimal (s, S) policy in a two-stage serial supply chain. In this paper, by performing an extensive computational study, we tabulate the benefit of the retailer’s using (R, T) policy instead of (s, S) policy in a supply chain with information sharing, and compare it to a maximum possible benefit that could be achieved in a centralized supply chain. We can understand the mechanisms of how the cost parameters and demand variance affect the benefit of the retailer’s using (R, T) policy instead of (s, S) policy, by comparing decentralized and centralized systems.