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A model to assess the agility of manufacturing organisations: systems approach and application

Publication Type : Journal Article

Publisher : Inderscience

Source : International Journal of Productivity and Quality Management (IJPQM), Inderscience , Volume 8, Number 3, p.265-295 (2011)

Url : http://www.scopus.com/inward/record.url?eid=2-s2.0-80053014856&partnerID=40&md5=0b2cfcc8a15828982a6bce7e2e9fec16

Campus : Coimbatore

School : School of Engineering

Department : Mechanical Engineering

Verified : Yes

Year : 2011

Abstract : To achieve the status of an agile manufacturer, organisations need to clearly understand the concept of agility related to their industrial and business circumstances and then identify and acquire the appropriate characteristics, which will result in an agile manufacturing organisation. This paper is related to a real-life study carried out in Indian manufacturing organisations to assess the extent to which the agile manufacturing paradigm is recognised and deployed, as this paradigm has been a major objective of many companies. With the help of literature study and a preliminary study of selected industries, a framework was developed which in its schematic form captures and depicts the efforts an organisation may have to put in a concerted manner to enhance its agility. This framework was used to develop a questionnaire with which a survey of Indian manufacturing industries was carried out. The data collected through this questionnaire was analysed by the model developed by the authors. This model helps to determine the measure of agility called effectiveness index for agility at the various hierarchical levels of an organisation. This paper reports the salient details of the model and how it was applied on the data collected from the industry survey. © 2011 Inderscience Enterprises Ltd.

Cite this Research Publication : Dr. Saleeshya P.G., A. Subash Babu, and A.S. Vishnu, “A model to assess the agility of manufacturing organisations: Systems approach and application”, International Journal of Productivity and Quality Management (IJPQM), vol. 8, pp. 265-295, 2011.

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