Department of Mechanical engineering

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Author: search.filters.author.Sangwan, Kuldip SinghSubject: search.filters.subject.Critical success factors

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    Evaluation of world-class manufacturing systems: a case of Indian automotive industries
    (Inder Science, 2008-06) Digalwar, Abhijeet K.; Sangwan, Kuldip Singh
    Many industries are implementing World-Class Manufacturing (WCM) systems to compete in the global market. However, the researchers in the area of WCM have not paid much attention to the techniques/methodologies for the evaluation of WCM systems. This paper presents a set of validated critical success factors and their performance variables for WCM industries. The reliability and validity analyses were carried out by using the SPSS? 11.5 statistical tool on the data obtained from the Indian automotive industries. A multiattribute decision model, i.e., Performance Value Analysis (PVA), was developed for the evaluation of WCM systems. The usefulness of the model is demonstrated using a case situation of the Indian automotive industry. By utilising this model, it is expected that managers/decision makers will acquire sufficient confidence in evaluating world-class automotive industries.
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    Development and validation of performance measures for world class manufacturing practices in India
    (World Scientific, 2007) Sangwan, Kuldip Singh; Digalwar, Abhijeet K.
    This paper aims to develop and validate performance measures for world class manufacturing (WCM) in Indian context that could be used by managers/ practitioners in assessing and improving their manufacturing performance. Using a thorough synthesis of the world class manufacturing literature, sixteen performance measures — top management commitment, knowledge management, employee training, innovation and technology, employee empowerment, environmental health and safety, supplier management, production planning and control, quality, flexibility, speed, cost, customer involvement, customer satisfaction, customer services and company growth — of world class manufacturing and their 89 variables have been developed. Using the data obtained from a survey of manufacturing industries in India, the identified performance measures were subjected to appropriate statistical tests to establish reliability and validity. Statistical computing package SPSS 11.5 for Windows was used for reliability and validity analysis. The validated instrument of world class manufacturing measures developed here may be used by manufacturing organizations to prioritise their management efforts to assess and implement WCM. The validated results are in Indian context, however, the instrument developed can be used in global context.