Topic
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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TL;DR: In this article, the authors consider a discrete-time capacity expansion problem involving multiple product families, multiple machine types, and non-stationary stochastic demand, and use a novel assumption that demand can be approximated by a distribution whose support is a collection of rays emanating from a point and contained in real multi-dimensional space.
Abstract: We consider a discrete-time capacity expansion problem involving multiple product families, multiple machine types, and non-stationary stochastic demand. Capacity expansion decisions are made to strike an optimal balance between investment costs and lost sales costs. Motivated by current practices in the semiconductor and other high-tech industries, we assume that only minimal amounts of finished-goods inventories are held, due to the risk of obsolescence. We assume that when capacity is in short supply, management desires to ensure that a minimal service level for all product families is obtained. Our approach uses a novel assumption that demand can be approximated by a distribution whose support is a collection of rays emanating from a point and contained in real multi-dimensional space. These assumptions allow us to solve the problem as a max-flow, min-cut problem. Computational experiments show that large problems can be solved efficiently.
51 citations
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TL;DR: In this paper, travel data from intra-city travellers can advise discrete policy recommendations based on a residential area or development's public transport demand, which contributes greatly to the wider goal of a sustainable built environment, provided the critical transit system attributes are measured and addressed to improve commuter uptake of public systems by residents living and working in local communities.
Abstract: Public transport can discourage individual car usage as a life-cycle asset management strategy towards carbon neutrality. An effective public transport system contributes greatly to the wider goal of a sustainable built environment, provided the critical transit system attributes are measured and addressed to (continue to) improve commuter uptake of public systems by residents living and working in local communities. Travel data from intra-city travellers can advise discrete policy recommendations based on a residential area or development’s public transport demand. Commuter segments related to travelling frequency, satisfaction from service level, and its value for money are evaluated to extract econometric models/association rules. A data mining algorithm with minimum confidence, support, interest, syntactic constraints and meaningfulness measure as inputs is designed to exploit a large set of 31 variables collected for 1,520 respondents, generating 72 models. This methodology presents an alternative to multivariate analyses to find correlations in bigger databases of categorical variables. Results here augment literature by highlighting traveller perceptions related to frequency of buses, journey time, and capacity, as a net positive effect of frequent buses operating on rapid transit routes. Policymakers can address public transport uptake through service frequency variation during peak-hours with resultant reduced car dependence apt to reduce induced life-cycle environmental burdens of buildings by altering residents’ mode choices, and a potential design change of buildings towards a public transit-based, compact, and shared space urban built environment.
51 citations
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20 Jun 2011TL;DR: This paper describes an analytical model for performance evaluation of cloud server farms, and demonstrates the manner in which important performance indicators such as request response time and number of tasks in the system may be assessed with sufficient accuracy.
Abstract: Cloud computing is a new computing paradigm, whereby shared resources such as infrastructure, hardware platform, and software applications are provided to users on-demand over the internet (Cloud) as services. Successful provision of infrastructure-as-a-service (IaaS) and, consequently, widespread adoption of cloud computing necessitates accurate performance evaluation that allows service providers to dimension their resources in order to fulfil the service level agreements with their customers. In this paper, we describe an analytical model for performance evaluation of cloud server farms, and demonstrate the manner in which important performance indicators such as request response time and number of tasks in the system may be assessed with sufficient accuracy.
51 citations
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16 Jun 2006TL;DR: In this article, a method for service level management comprises identifying connected enterprise application components and, under control of an automated system, relating historical performance for the connected enterprise AP components and electronically creating a service level agreement based on the historical performance relation.
Abstract: A method for service level management comprises identifying connected enterprise application components and, under control of an automated system, relating historical performance for the connected enterprise application components and electronically creating a service level agreement based on the historical performance relation.
51 citations
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TL;DR: In this article, the authors propose and justify parameter values for satisfactory end user experience and show how standard measurement data can be collected from various network elements and processed to derive end user QoE.
Abstract: Next-generation multimedia networks need to deliver applications with a high quality of experience (QoE) for users. Many network elements provide the building blocks for service delivery, and element managers provide performance data for specific network elements. However, this discrete measurement data is not sufficient to assess the overall end user experience with particular applications. In today's competitive world of multimedia applications, it is imperative for service providers to differentiate themselves in delivering service level agreements with certainty; otherwise they run the risk of customer churn. While QoE for well-established services like voice and Internet access is well understood, the same cannot be said about newer multimedia services. In this paper, we propose parameters for measuring the QoE for newer services. We propose and justify parameter values for satisfactory end user experience and show how standard measurement data can be collected from various network elements and processed to derive end user QoE.
51 citations