Performance status has to do with profitability of manufacturing industries. Good performance brings about increase in productivity. There are in existence different models and software, but none has been able to develop software based on American Productivity Center model (APC). The strategic decisions required were identified as: Factor Productivity, Price Recovery and Cost Effectiveness indices, while the parameters used are: quantity produced, price per unit, labour input time, cost per hour of labour as well as the period. These were used to develop the models for the strategic decisions mentioned and software (PPE-INDICES, 2016) for implementation of the models using Java programming language. Olam cocoa processing company was used as the case study and the software was able to report the performance of the company thus: 24%, 51% and 87% increase in Factor Productivity, Price Recovery and Cost Effectiveness indices respectively for period 2013/2014, 29%, 20% and 55% increase in Factor Productivity, Price Recovery and Cost Effectiveness indices respectively for period 2014/2015, and 23%, 13% and 39% increase in Factor Productivity, Price Recovery and Cost Effectiveness indices respectively for period 2015/2016. The model and its software will find its application in all manufacturing industries of developing and developed countries.
The crankshaft is the part of an engine which translates reciprocating linear piston motion into rotation. Automobile crankshaft failure, apart from poor maintenance culture, is caused by age and distance covered. These attributes which caused crankshaft failure were investigated using questionnaire administration and oral interviews of the maintenance expert and experienced personnel in the three selected crankshaft maintenance shops in Akure, Nigeria based on six popular crankshaft brands. Information/data on failure rate and failure consequence thresholds were established and served as a decision rule on the basis at which optimal reconditioning process, replacement and interchangeability system of the crankshaft components were identified on the occurrence of failure rate (R 1 ) and failure consequence (β 1 ). Computer algorithm was developed for the software package, using Microsoft Visual C# computer language. The software was tested to determine their level of performance. The results generated from the application of these systems were categorised into six scenarios whereby the MC230 Class gave the best result. The software will be veritable tools in predicting crankshaft failure in automobile, manufacturing, and machine tools industries, for prompt solution.
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