NDLI: Optimizing lead time and resource utilization for service enterprises

Please wait, while we are loading the content...

Optimizing lead time and resource utilization for service enterprises

Content Provider	Springer Nature Link
Author	Li, Yang He, Beibei
Copyright Year	2008
Abstract	Lead time is generally defined as the period of time for which customers have to wait before receiving completed products or services from enterprises. In the key public utility markets, such as telecommunications market, that are tightly regulated by government watchdogs, service enterprises are obliged to provide equivalent services to all their customers. In the context of service lead time, this means that “standard lead times” should be universally applied to all customers. Existing industrial practice in deriving “standard lead time” is manual and erroneous. Regardless of the variances of demand and resource across geographical areas and across time horizon, service enterprises are generally confined to single fixed “standard lead times”. Ill-derived “standard lead times” lead to wrong promises made to customers, which not only forces service engineers to work overtime to deal with overflowing jobs but also incur huge compensation costs due to delayed or failed customer services. In this paper, we set out to tackle the “standard lead time” problem. In particular, we devised an automated approach to testing the existence of legal optimal allocation schemes based on actual customer demand, enterprise resource and assumed standard lead time. We first modelled this as a combinatorial optimisation problem; we then experimented a heuristic local search method, namely “single day shift”, inspired by previous work on virtual telescope scheduling; further on, we improved the first method by introducing a new heuristics, namely “multiple day spread”, which achieved a speed of search for optimal solutions, 1.29 times faster than the first method. A case study on comparisons between existing default “standard lead time” and the calculated one using our approach for a telecommunication service provider was conducted to demonstrate the necessity and effectiveness of this approach. Finally, we compared our approach with related work. We concluded that our approach is more suitable for the problem of optimizing lead time and resource utilisation, and the results from our work are widely applicable to various industry sectors that concern equivalent customer services, balanced work load and optimal lead times.
Starting Page	65
Ending Page	78
Page Count	14
File Format	PDF
ISSN	18632386
Journal	Service Oriented Computing and Applications
Volume Number	2
Issue Number	2-3
e-ISSN	18632394
Language	English
Publisher	Springer-Verlag
Publisher Date	2008-05-08
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Standard lead time Service level agreement Combinatorial optimisation Resource management Telecommunications strategic review Business Information Systems Management of Computing and Information Systems Computer Application in Administrative Data Processing Electronic Commerce/e-business Software Engineering/Programming and Operating Systems Computer Systems Organization and Communication Networks
Content Type	Text
Resource Type	Article
Subject	Management Information Systems Information Systems Software Hardware and Architecture

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A sharing-oriented service selection and scheduling approach for the optimization of resource utilization

Enabling service-level agreement renegotiation through extending WS-Agreement specification

Customer on-boarding strategies for cloud computing services with dynamic service-level agreements

Pattern-based e-service modelling for virtual service enterprises

Resource management framework for collaborative computing systems over multiple virtual machines

A reference model of virtual service production networks

Midland: a service-oriented cluster computing infrastructure

Goal-based business service composition

An offer generation approach to SLA negotiation support in service oriented computing

Optimizing lead time and resource utilization for service enterprises

Similar Documents

A sharing-oriented service selection and scheduling approach for the optimization of resource utilization

Enabling service-level agreement renegotiation through extending WS-Agreement specification

Customer on-boarding strategies for cloud computing services with dynamic service-level agreements

Pattern-based e-service modelling for virtual service enterprises

Resource management framework for collaborative computing systems over multiple virtual machines

A reference model of virtual service production networks

Midland: a service-oriented cluster computing infrastructure

Goal-based business service composition

An offer generation approach to SLA negotiation support in service oriented computing

Optimizing lead time and resource utilization for service enterprises