A Framework and Workable Model of Inventory Control in Manufacturing Industry

Abstract

This investigative study employed a robust analytical framework built on surveys to examine the key factors influencing the sustainability and performance of manufacturing industries in Chhattisgarh. The research utilized both qualitative and quantitative methods including stakeholder interviews and literature reviews, along with some structured questionnaires that measured responses on a five-point Likert scale. Data was collected in four stages, with a continuous refinement of the questionnaire supported by responses from participants. Data from 190 out of the 350 distributed survey questionnaires were analysed via statistical tools (SPSS version 20 and Microsoft Excel). Descriptive statistics, factor analysis, regression, correlation, and hypothesis testing were employed to assess significant relationships among the variables. The Cronbach's Alpha (0.874) test, KMO, and Bartlett's test confirmed the data's validity and reliability indicating internal consistency and sampling adequacy. The results suggested that each significant factor had a mean score above 4.0 indicating it would improve the performance of manufacturing industries. The findings reiterate the importance of statistical validity, reliability of data, and methodological rigour to industrial research. The implications of this research would support a successful improvement in operational efficiency, management practices, and sustainable industrial outcomes directed to manufacturing management and policy management in the Chhattisgarh manufacturing context..