Strategic success of industry depends upon manufacturing competencies (i.e., the competitive advantage to ensure better quality and reliability), which will increase sales and create a sound customer base. Competitive priorities are the operating advantages that are assessed, evaluated, and measured within the parameters of cost, quality, time, design, and flexibility. The book explains the manufacturing competencies upon which the strategic success of the automobile industry depends. The impact of manufacturing competency on strategic success is analyzed and modelled using suitable qualitative and quantitative techniques. Key Features Outlines manufacturing competencies in correlation with successful strategic planning for current manufacturing environment Provides methodology or guidelines for linking defined strategic plans with manufacturing competencies Defines strategic success in the context of the automobile industry Analyses and models manufacturing competency impacts using qualitative and quantitative techniques Develops qualitative models with real-time case studies
This text identifies and discusses different technology innovation initiatives (TIIs) such as entrepreneurial capability, technology infrastructure capability, organizational culture and climate, and government initiatives. It further evaluates the relationship between various technology innovation initiatives and manufacturing performances using multi-criteria decision-making techniques such as fuzzy set theory (FST), structural equation modeling (SEM), and analytic hierarchy process (AHP). It will serve as an ideal reference text for graduate students and academic researchers in the field of industrial engineering, manufacturing engineering, mechanical engineering, automotive engineering. This book: • Discusses technology innovation initiatives such as entrepreneurial capability, technology infrastructure capability, and organizational culture. • Highlights technology innovation-strategy model in assisting manufacturing industries for enhancing their performance in today’s competitive environment. • Examines the effect of technology innovation initiatives on the performance of manufacturing industries. • Covers multi-criteria decision-making techniques such as fuzzy set theory, structural equation modeling, and analytic hierarchy process. • Explores the validation of fuzzy-based technology innovation model through structural equation modeling.
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