Pull type is production that is based on actual demand and requires a fast and precise manufacturing process in the system. The conventional method caused consumers' frequent dissatisfaction with the results and took long production times and high cost. The purpose of this study was to compare between the application for conventional methods and Computer Aided Process Planning (CAPP) method in pull-type production system. Starting with identifying the problems that exist in the results of observations in the field study, then setting the goal of improving the initial production method. Furthermore, the process was conducted by comparing production time using time study method and breaking even calculation. The results show that CAPP method obtained the reduction in the cost and time production than conventional methods.
Food is an essential need for the sustainability of human life so that consumers have the right to get a product that is safe for consumption. However, food poisoning cases due to the risk of biological, chemical, physical, and other contamination still occur frequently. In this study, an empirical investigation was conducted on apple pie production in a food processing SME that is known to have a risk of physical, chemical, and biological. This study used the hazard analysis and critical control point (HACCP) and good manufacturing practice (GMP) approaches to analyze each production process’s hazards. This study also identified factors that harm using failure mode and effect analysis (FMEA) and provided recommendations for improving food safety and security for the SME business sustainability.
Industry 4.0 is a term for the digital revolution in industrial area appearing from a comprehensive and computerized network. Digital platforms can be an impressive and beneficial media for industry to get closer with the customers. While many big companies have attempted to figure on the potential and risks of digitalization along have introduced an innovation process for their business models, small and medium enterprises (SMEs) have not utilized this optimally. Currently SMEs are known as the bedrock of most economies, especially in developing countries. The aim of this study was to optimize the digital platform that had been developed as SME business media through risk analysis for the sustainability constructing. The SWOT analysis and failure mode and effect analysis (FMEA) approach were used to assess the identified and analysed risks before determining the appropriate mitigation plan. The study expected SMEs to fulfil the challenges and opportunities from Industry 4.0 for elevating national economic stability.
Companies with assessment criteria often consider only the leader's subjectivity and ignore other criteria. Limited appraisal criteria result in shortcomings in the decision-making process. This study examines the performance appraisal in a plastic manufacturing company's production floor and develops a multi-criteria decision-making model for performance appraisal by considering company criteria. We propose a qualitative approach using the analytic network process to determine the weighted criteria and sub-criteria to evaluate performance by involving all criteria. The results show that qualitative performance criteria yield higher scores for workers than the quantitative performance criteria, thereby confirming that subjectivity and qualitative criteria influence performance appraisal in the manufacturing industry. A multi-criteria decision-making model is required in performance appraisals to determine the overall measurable criteria. Moreover, this study contributes to an empirical solution for achieving an effective human resource management system.
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