Department of Mechanical engineering

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Now showing 1 - 8 of 8
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    Performance Measurement System for Green Manufacturing
    (BITS Pilani, 2006) Sangwan, Kuldip Singh; Digalwar, Abhijeet K.
    Performance measurement system (PMS) plays an important role in the successful implementation of advanced manufacturing systems like green manufacturing. However little attention has been paid to design and implement performance measurement systems (PMSs) for green manufacturing. The paper highlights the imperatives of performance measurement systems (PMSs) for green manufacturing and review some of the most widely used PMSs. A PMS based on the traditional hierarchical system is presented for green manufacturing.
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    Fuzzy part family formation for cellular manufacturing systems
    (Taylor & Francis, 2008-02) Sangwan, Kuldip Singh
    Most of the techniques related to part family formation require precise numerical data for part's features. However, in many situations, the parts features are too ill-defined and are too susceptible to analysis by traditional discrete methods. Fuzzy set theory allows the parts to belong to different groups with different memberships. Moreover, different attributes may not have equal importance. The AHP (analytical hierarchy process) model gives the weightage for different attributes and also checks the consistency of the judgements. This paper suggests two models for part family formation using fuzzy mathematics and the AHP model. One model is based on fuzzy logic and AHP and the second model uses fuzzy equivalence ratios and AHP. Models can be integrated with the existing coding systems used by organizations. Both models are validated using problems from literature.
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    FUGEN: a tool for the design of layouts for cellular manufacturing systems
    (Inder Science, 2009-05) Sangwan, Kuldip Singh
    Design of layouts for Cellular Manufacturing Systems (CMSs) has not received attention by researchers as much as cell formation in cellular manufacturing. In this paper a mathematical model, formulated as a multicriteria Quadratic Assignment Problem (QAP) is proposed for the design of layouts for CMSs with the objective of minimising the material handling cost (quantitative) and maximising the closeness rating (qualitative). A Genetic Algorithm (GA)-based tool called FUGEN, which makes use of crossover, mutation (inversion) and direct entry (elitism) with embedded fuzzy logic and Analytic Hierarchy Process (AHP) models, is developed for the design of layouts for CMSs. An attempt is made to make the model practical by considering the production volume, transfer batch size and operational sequence of parts. The proposed tool is validated using an example from the literature.
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    Multi-attribute decision models for justification of cellular manufacturing systems
    (Inder Science, 2004-11) Sangwan, Kuldip Singh
    There is a general challenge offered to the field of engineering economics by the introduction of advanced manufacturing systems. Typically, the traditional approaches do not account for the significant intangible benefits offered by cellular manufacturing systems. In this paper, an attempt has been made to overcome the above-mentioned deficiencies by presenting two multi-attribute decision models – analytical hierarchy process and performance value analysis – for the justification of CMS. The usefulness of the proposed models is demonstrated through a case situation.
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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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    Performance value analysis for the justification of world-class manufacturing systems
    (World Scientific, 2004) Sangwan, Kuldip Singh
    World-class manufacturing systems (WCMS) has attracted the attention of industries all over the world. The perceptible impact of WCMS lies in attaining the far reaching world-class standards. Attempts have been made to examine WCMS for the feasibility in Indian industries. The present work describes a performance value analysis for the justification of WCMS for Indian industries.
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    Performance value analysis for justification of green manufacturing systems
    (World Scientific, 2006) Sangwan, Kuldip Singh
    Green Manufacturing Systems (GMS) has attracted the attention of organizations all over the world. There is a general challenge offered to the field of engineering economics by the introduction of green manufacturing systems as, typically, the traditional approaches do not account for the significant intangible benefits offered by GMS. In this paper, an attempt has been made to overcome the above-mentioned deficiencies by presenting a multi attribute decision model — Performance Value Analysis (PVA) — for the justification of green manufacturing systems. The usefulness of the model is demonstrated through an illustrative example. The results clearly show that the implementation of green manufacturing systems offers far better competitive advantages over the non-green manufacturing systems.
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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.