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The order and volume fill rates in inventory control systems

TLDR
A particularly important result in the paper concerns an alternative service measure, the customer order fill rate, and shows how this measure always exceeds the other two more well-known service measures, viz. the order filling rate and the volume fill rate.
Abstract
This paper differentiates between an order (line) fill rate and a volume fill rate and specifies their performance for different inventory control systems. When the focus is on filling complete customer orders rather than total demanded quantity the order fill rate would be the preferred service level measure. The main result shows how the order and volume fill rates are related in magnitude. Earlier results derived for a single-item, single-stage, continuous review inventory system with backordering and constant lead times controlled by a base-stock policy are extended in different directions. Demand is initially assumed to be generated by a compound renewal process. An important generalization then concerns the class of customer order-size distributions, i.e. compounding distributions, with increasing failure rate for which the volume fill rate always exceeds the order fill rate. Other extensions consider more general inventory control review policies with backordering, as well as some relations between service measures. A particularly important result in the paper concerns an alternative service measure, the customer order fill rate, and shows how this measure always exceeds the other two more well-known service measures, viz. the order fill rate and the volume fill rate. & 2012 Elsevier B.V. All rights reserved.

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Citations
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Journal ArticleDOI

On the risk-averse optimization of service level in a supply chain under disruption risks

TL;DR: The findings indicate that the best-case order fulfillment rate shows a higher service performance than the worst-case demand fulfillment rate and that worst- case service level is in opposition to cost.
Journal ArticleDOI

Optimal spares allocation to an exchangeable-item repair system with tolerable wait

TL;DR: This work generalizes the expected waiting time and fill rate measures to reflect customer patience and develops efficient algorithms to solve the problem for each of the criteria and demonstrates how incorporating customer patience provides considerable savings and profoundly affects the optimal spares allocation.
Journal ArticleDOI

Cost allocation in inventory pools of spare parts with service-differentiated demand classes

TL;DR: In this paper, the authors consider an inventory pool of spare parts, subject to a service level constraint, where the members of the pool may have different target service levels, so that they represent different demand classes.
Journal ArticleDOI

Fill rate in a periodic review order-up-to policy under auto-correlated normally distributed, possibly negative, demand

TL;DR: In this paper, the authors present a new fill rate measure for normally distributed, auto-correlated, and possibly negative demand, which reduces to identifying the minimum of correlated normally distributed bivariate random variables.
Journal ArticleDOI

Stock keeping unit fill rate specification

TL;DR: It is argued that this approach is far from optimal and a simple methodology is proposed that is shown to be associated with reductions in stock investments and is highly likely to be positively received by practitioners and software manufacturers.
References
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Book

Univariate Discrete Distributions

TL;DR: In this paper, the authors propose a family of Discrete Distributions, which includes Hypergeometric, Mixture, and Stopped-Sum Distributions (see Section 2.1).
Book

Foundations of Inventory Management

Paul Zipkin
TL;DR: In this article, one item with a constant demand rate and time-varying demands is described. But, the model is based on a single item with constant lead times.
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