NDLI: A QoS-based GFAM Scheduling Approach for Manufacturing Grid

Content Provider	IEEE Xplore Digital Library
Author	Liu Lilan Yu Tao He Yu'an
Copyright Year	2005
Description	Author affiliation: CIMS, Shanghai Univ. (Liu Lilan; Yu Tao; He Yu'an)
Abstract	In order to resolve resource scheduling problem in manufacturing grid (MG) to handle dynamic changes in the availability of manufacturing resources and user requirements, and to provide scalable, controllable, measurable, and easily enforceable policies for the management of manufacturing resources, we propose a QoS (quality of service)-based scheduling system - manufacturing grid resource scheduler (MGRS). In MGRS, we make some necessary definitions, such as the QoS-based manufacturing task/sub-task, QoS-based manufacturing resource, and then deduce the resource-task matching (RTM) matrix for resource scheduling. Based on these definitions and deductions, this paper sets up the group decision-making fuzzy analytic hierarchy process model (GFAM), with resources' QoS attributes as the evaluation criteria, and the fuzzy analytic hierarchy process (FAHP) and group decision-making (GDM) as the arithmetic basis. The goal of the GFAM is to select a most suitable resource from the authorized resource lists to match each submitted task with the better QoS performance, such as the higher user satisfaction, product quality and service, as well as the lower failure rate, time-to-market, and cost, etc. Furthermore, the GFAM model is applied in MG, and the results show that it is a very useful solution for resource scheduling during the process of products manufacturing
Sponsorship	Univ. of Aizu, Japan Nat. Natural Sci. Found. China Fudan GrandHorizon Inf. Technol., Inc. China Hewlett-Packard Co., Ltd
Starting Page	334
Ending Page	338
File Size	235781
Page Count	5
File Format	PDF
ISBN	076952432X
DOI	10.1109/CIT.2005.40
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Availability Job shop scheduling Decision making Quality of service Dynamic scheduling Control systems Group decisionmaking Fuzzy Analytic hierarchy process Model (GFAM) Manufacturing Grid (MG) Quality of Service (QoS) Fuzzy sets Resource Scheduling Manufacturing Resource management Quality management
Content Type	Text
Resource Type	Article

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