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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.


Papers
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Journal ArticleDOI
TL;DR: This paper examines two-level and three-level supply chains for a midsize US newspaper in the Midwest that delivers to households and businesses in over 200 zip codes that span across various states and uses simulation to evaluate the performance of the proposed solution.

49 citations

Journal ArticleDOI
TL;DR: The computational study highlights that in certain situations although a simple ordering policy can achieve very good performance, statistically and economically significant improvements are achieved when using more advanced solution methods.
Abstract: Different solution methods are developed to solve an inventory routing problem for a perishable product with stochastic demands. The solution methods are empirically compared in terms of average profit, service level, and actual freshness. The benefits of explicitly considering demand uncertainty are quantified. The computational study highlights that in certain situations although a simple ordering policy can achieve very good performance, statistically and economically significant improvements are achieved when using more advanced solution methods. Managerial insights concerning the impact of shelf life and store capacity on profit are also obtained.

49 citations

Proceedings ArticleDOI
19 Aug 2009
TL;DR: This paper explores how to maximize the quality of service, in terms of system rewards, of a periodic application with discrete levels in an energy harvesting system, and presents algorithms to derive optimal solutions if the future harvested energy is known.
Abstract: Power management has been a critical issue in the design of embedded systems due to the limited power supply. To prolong the lifetime, energy minimization has been studied under performance constraints in the past decade. The emerging embedded systems with the capability to harvest energy from the environment have recently triggered the revision of power management to improve the quality of service dynamically. As the available power/energy of an electronic device changes over time and is limited by many environmental factors, the system has to decide when to change to which service level to provide better quality of service without wasting the harvested energy. In this paper, we explore how to maximize the quality of service, in terms of system rewards, of a periodic application with discrete levels in an energy harvesting system. To decide service levels in a time horizon, this paper presents algorithms to derive optimal solutions if the future harvested energy is known. In addition, we present efficient algorithms to derive near-optimal solutions approximately. Our work is supported by simulation results which are based on long-term measurements of the power generated by real solar cells.

49 citations

Journal ArticleDOI
TL;DR: In this article, the authors studied the problem of a food producer facing a non-stationary erratic demand for a perishable product with a fixed life time, where the food producer aims at meeting a certain service level at lowest cost.

49 citations

Journal ArticleDOI
TL;DR: It is shown that the chance-constrained problem of determining optimal base-stock levels which minimize the total inventory investment is a convex programming problem, and how an optimal internal service level can be computed permits decomposition of the two-stage serial system into two coordinated single-echelon systems.
Abstract: We consider a two-echelon serial inventory system with demand and supply uncertainty, non-zero lead times for component procurement and end-product assembly, and a minimum customer service level requirement. We present two supply models which incorporate both quantity and timing uncertainty; these models correspond to current and proposed supply environments. Assuming that installation base-stock ordering policies are followed and that the demand distribution is quasi-concave, we show that the chance-constrained problem of determining optimal base-stock levels which minimize the total inventory investment (cost-weighted stock levels) subject to a service constraint is a convex programming problem. We characterize the relation between the optimal base-stock levels of the component and the end-product. We also illustrate how an optimal internal (component) service level can be computed, which permits decomposition of the two-stage serial system into two coordinated single-echelon systems. Computational expe...

49 citations


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