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Service level

About: Service level is a research topic. Over the lifetime, 7647 publications have been published within this topic receiving 126093 citations. The topic is also known as: service level.


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Patent
01 Sep 2011
TL;DR: In this paper, a resource management and control system for real-time visibility to energy and water consumption is presented, which allows users to create a system to suit their individual needs, and to make changes to that platform as their needs change and new needs arise.
Abstract: A resource management and control system includes real-time visibility to energy and water consumption. The resource management platform is flexible and allows users to create a system to suit their individual needs, and to make changes to that platform as their needs change and new needs arise. The resource management and control system monitors electricity and gas consumption, solar production, and water use in real time. The control system includes a number of wireless access nodes for interfacing with the various systems within a property, and also includes monitoring, diagnostic and alerting capabilities. Billing system integration provides historical data for the cost of resource usage and production relative to time, geography and consumer service level agreements and allows the user the ability to directly correlate consumption behaviors with cost implications. Autonomously operating control processes are incorporated to automatically configure and control devices for optimal resource consumption and application.

43 citations

Journal ArticleDOI
TL;DR: Increases in historical fill rate are found to be associated with statistically significant and managerially substantial increases in current retailer orders i.e., demand, not just sales.
Abstract: To set inventory service levels, suppliers must understand how changes in inventory service level affect demand. We build on prior research, which uses analytical models and laboratory experiments to study the impact of a supplier's service level on demand from retailers, by testing this relationship in the field. We analyze a field experiment at the supplier Hugo Boss to deter- mine how the supplier's inventory service level affects demand from its retailer customers. We find increases in historical fill rate to be associated with statistically significant and managerially substantial increases in current retailer orders (i.e., demand, not just sales). Specifically, a one percentage point increase in fill rate, measured over the prior year, is associated with a statistically significant 11% increase in current retailer demand, controlling for other factors that might affect retailer demand. We explore the drivers of this demand increase, including changes in retailer assortment and order frequency. We discuss features of a retail buyer's decision context identified through our field work that may explain the magnitude of the relationship we observe.

43 citations

Posted Content
TL;DR: It is shown that the standard $\alpha-$, $\beta-$ and $\gamma$-service-levels used in inventory theory, when considered from the point of view of a downstream node in the supply chain, provide only limited information about the delay the orders observe.
Abstract: In this paper we consider an inventory location that serves downstream nodes (e. g. production processes, regional warehouses or customers) in a supply chain. It is pointed out, that the overall optimization of logistical processes should be based on the order delivery time as a critical unifying dimension. It is shown that the standard (\alpha-), (\beta-) and (\gamma)-service-levels used in inventory theory, when considered from the point of view of a downstream node in the supply chain, provide only limited information about the delay the orders observe. A procedure for the determination of the probability distribution of the order waiting time in a discrete time periodic (r,S)-inventory system is developed. Implications for the optimization of sub-processes in the supply chain are discussed. Key words: Inventory management - Service levels - Customer order waiting time - Supply chain optimization

43 citations

Journal ArticleDOI
TL;DR: This paper identifies two sources of approximation in Tarim and Kingsman’s model and proposes an exact stochastic constraint programming approach based on a novel concept, global chance-constraints, which is introduced in this paper.
Abstract: We consider a class of production/inventory control problems that has a single product and a single stocking location, for which a stochastic demand with a known non-stationary probability distribution is given Under the widely-known replenishment cycle policy the problem of computing policy parameters under service level constraints has been modeled using various techniques Tarim and Kingsman introduced a modeling strategy that constitutes the state-of-the-art approach for solving this problem In this paper we identify two sources of approximation in Tarim and Kingsman's model and we propose an exact stochastic constraint programming approach We build our approach on a novel concept, global chance-constraints, which we introduce in this paper Solutions provided by our exact approach are employed to analyze the accuracy of the model developed by Tarim and Kingsman

43 citations

Proceedings ArticleDOI
26 Dec 2007
TL;DR: Simulation results show that the proposed scheduling discipline for uplink traffic is capable to provide quality of service (QoS) and shares fairly the resources among connections of the same service type.
Abstract: In order to support real-time and bandwidth demanding applications the IEEE 802.16 standard is expected to provide quality of service (QoS). Although the standard defines a QoS signaling framework and four service levels, scheduling mechanisms for this network are unspecified. In this paper, we propose a scheduling discipline for uplink traffic. Simulation results show that our scheme is capable to provide QoS. Moreover it shares fairly the resources among connections of the same service type.

43 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202321
202257
2021257
2020350
2019413
2018415