NDLI: Efficient sizing of technical assistance service (TAS) resources for a large installed machinery base network using discrete simulation

Content Provider	IEEE Xplore Digital Library
Author	Uriarte, A. Ricondo, I. Goti, A.
Copyright Year	2011
Description	Author affiliation: Ideko - IK4, Arriaga industrialdea 2, E-20870 Elgoibar, Gipuzkoa, Spain (Uriarte, A.; Ricondo, I.) \|\| University of Mondragon, (MUN), Loramendi 4, 20500 Mondragón, Gipuzkoa, Spain (Goti, A.)
Abstract	This paper focuses on the efficient allocation of TAS resources from a machine manufacturer perspective, in order to give service to a large number of customers geographically dispersed using Discrete Event Simulation (DES). The developed model suggests the most efficient solution in terms of number of technicians and TAS location in order to maximize the availability of the machinery network and minimize the cost. Due to the high number of machines to be served by the TAS unit (over 500 machines), clustering has been used as an initial simplification method in order to model an affordable and manageable number of group of machines.
Starting Page	1
Ending Page	8
File Size	639170
Page Count	8
File Format	PDF
ISBN	9781457707728
e-ISBN	9783943024050
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-20
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	FIR e. V. an der RWTH Aachen
Subject Keyword	Availability Discrete Event Simulation Companies Maintenance engineering Resource sizing Data models Ice Time factors Queueing analysis Technical assistance service
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Efficient sizing of technical assistance service (TAS) resources for a large installed machinery base network using discrete simulation