NDLI: An AR-based hybrid approach for facility layout planning and evaluation for existing shop floors

Content Provider	Springer Nature Link
Author	Jiang, S. Ong, S. K. Nee, A. Y. C.
Copyright Year	2014
Abstract	Facility layout planning (FLP) has substantial impact on the various aspects of a manufacturing system. FLP is typically performed for new shop floors. However, enterprises nowadays are often faced with the need to reconfigure the existing shop floor layouts to synchronize the shop floor operations with the constantly changing production targets. FLP tasks for existing shop floors are often small in scale, e.g., adding or removing a couple of machines, but complex to address since a wide range of criteria need to be incorporated and the presence of the existing facilities imposes critical constraints. Current FLP approaches are not efficient to handle these issues. The development of computer-aided design (CAD) technology has provided feasible solutions to bridge this gap. In this paper, an augmented reality (AR)-based hybrid approach is proposed which facilitates on-site layout planning and evaluation in real time. By integrating AR technology with the mathematical modeling technique, the proposed approach allows the users to augment the shop floor with the facilities to be laid out, model the existing facilities to obtain their geometric data, and define the criteria and constraints to formulate the problems as multi-attribute decision-making (MADM) models. Two planning methods are employed to solve the MADM models, namely, information-aided manual planning and analytic hierarchy process (AHP)–genetic algorithm (GA)-based automatic planning. During the planning process, the criteria and the constraints are assessed in real time to provide immediate evaluation and feedback to facilitate decision-making.
Starting Page	457
Ending Page	473
Page Count	17
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	72
Issue Number	1-4
e-ISSN	14333015
Language	English
Publisher	Springer London
Publisher Date	2014-02-16
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Augmented reality Facility layout planning Genetic algorithm Analytic hierarchy process Multi-attribute decision-making Industrial and Production Engineering Production/Logistics/Supply Chain Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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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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