NDLI: Verification and validation and complex environments: a study in service sector

Content Provider	IEEE Xplore Digital Library
Author	Jenkins, R. Deshpande, Y. Davison, G.
Copyright Year	1998
Description	Author affiliation: Univ. of Technol., Sydney, NSW, Australia (Jenkins, R.)
Abstract	Verification and validation are two very important steps in simulation modeling. Consequently, they are under constant review and examination from many different perspectives. Researchers have identified several modes of conducting verification and validation and proposed taxonomies for techniques used in their execution. This paper visits the issues in the light of a case study being carried out specifically in the health sector. The paper argues that the health sector is characterized by a level of complexity in handling "resources" (as understood in simulation modeling) which is not frequently found in the manufacturing sector. This complexity makes validation and verification of simulation models a difficult and challenging task. While the earlier articulation of modes of verification and validation and their taxonomy are generally helpful, there is still some work which could be fruitfully undertaken in understanding various situations and, especially, the perspectives which the "end-users" or clients bring to bear upon any modeling exercise.
Starting Page	1433
Ending Page	1440
File Size	901712
Page Count	8
File Format	PDF
ISBN	0780351339
DOI	10.1109/WSC.1998.746013
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-12-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Winter Simulation Conf. Board of Dir.
Subject Keyword	Australia Computational modeling Taxonomy Animation Pulp manufacturing Virtual manufacturing Decision making Cognitive science Large-scale systems Design engineering
Content Type	Text
Resource Type	Article

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

Resource graphs for modeling large-scale, highly congested systems

Verification and validation and complex environments: a study in service sector

Tree-Structured Multi-Layer Fuzzy Cognitive Maps for Modelling Large Scale, Complex Problems

Evaluate simulation design alternatives for large scale manufacturing systems

Appropriate modeling and analysis for systems of systems: Case study synopses using a taxonomy

Multi-parameter decision-making in complex system

Emulation in manufacturing engineering processes

Verification And Validation: A Consultant's Perspective

Software environments for CAD systems

Verification and validation and complex environments: a study in service sector

Similar Documents

Resource graphs for modeling large-scale, highly congested systems

Verification and validation and complex environments: a study in service sector

Tree-Structured Multi-Layer Fuzzy Cognitive Maps for Modelling Large Scale, Complex Problems

Evaluate simulation design alternatives for large scale manufacturing systems

Appropriate modeling and analysis for systems of systems: Case study synopses using a taxonomy

Multi-parameter decision-making in complex system

Emulation in manufacturing engineering processes

Verification And Validation: A Consultant's Perspective

Software environments for CAD systems

Verification and validation and complex environments: a study in service sector