Tag Archives: Manufacturing Workers

Quantitative Analysis of Factors Affecting Manufacturing Workers Performance in Industry: Case Study of Plastic Companies in Eastern Nigeria, Using SPSS (Published)

This work investigates the quantitative analysis of some factors that affect the performance of manufacturing workers in industries in southern Eastern Nigeria. Experiments were designed, and conducted through the use of work measurements technique and Tests Studies. These selected specific factors (maintenance, equipment, Power/Energy, technology, safety and Training.) used for the study, were investigated using eighty-two manufacturing workers from thirteen manufacturing companies. Data were collected for analyses. The software used was SPSS. Software tools used for various analyses in the study are: statistics, correlation, multi linear regression, response surface regression and multi- co linearity diagnoses, while t – value, F- ratio, p – values and variance of inflation factors (VIF) were used to test the hypotheses.  The various statistical analyses performed were presented, studied and interpreted. The correlation coefficients are positive and in descending order of maintenance, equipment, Power/Energy, technology, safety and Training. The coefficient of determination, R2 and the variance ratio (VR); and F- value and t –coefficient values were also determined for strong inference. Curves were generated to observe the behavioral patterns of the relationship between manufacturing workers’ factors influence on performance. Results showed that the identified factors affected the performance of manufacturing workers in the manufacturing industries, in such a manner that the Companies productivity is affected positively by some factors and negatively by some others. Therefore, in the general consideration, the factorial indices that predicted the manufacturing workers performance of the selected factors: motivation, power, safety, maintenance, training, equipment and technology are found to be 0.877, 0.48, 0.614, -1.36, 0.789, 1.421 and – 0.495 respectively. These factorial indices are valid in controlling problems arising from manufacturing industries.

Keywords: Analysis, Company., Factors, Manufacturing Workers, Performance Industry, quantitative

Determination of Combined Effects of Factors that Affect Performance Operatives in Manufacturing Industries, Using Minitab (Published)

This research work determines the degree of impact of some factors in their combined state and interactions effects on the performance of operatives (manufacturing workers) in manufacturing industries. Factors studied include: motivation, power, safety, maintenance, training, equipment and technology. Eighty-two manufacturing workers drawn from thirteen manufacturing Plastic Companies were used. Data were collected using work measurement technique (time studies) and questionnaire (tests studies). Software is used for the various analyses in the study. The software used was Minitab. Software tools used for various analyses in the study are: statistics, correlation, polynomial regression and response surface regression, while t – value, F- ratio, p – values, effect coefficient and variance of inflation factors (VIF) were used to test the hypotheses.  Results from the various statistical analyses were presented, studied and interpreted. The results showed that the identified factors have impact on the performance of the manufacturing workers in the plastic manufacturing industries. The fall in performance of manufacturing workers in plastic industries is due to these cumulative effects of factors. The magnitude of these effects of the combined and interactions on performance are 42.57% ( 0.15), 43.67% ( 0.1) and 43.67% ( 0.05). The effect reduces as confidence interval increases above 90%. The correlation coefficients of the factors to performance are all showing positive linear effects while the regression model coefficients some show negative effects. The models developed in quadratic shape factor are valid in predicting performance and their combined and interactions effects apparently providing information for controlling problems arising in manufacturing workers performance in industries in the South Eastern Nigeria and any other placeThis research work determines the degree of impact of some factors in their combined state and interactions effects on the performance of operatives (manufacturing workers) in manufacturing industries. Factors studied include: motivation, power, safety, maintenance, training, equipment and technology. Eighty-two manufacturing workers drawn from thirteen manufacturing Plastic Companies were used. Data were collected using work measurement technique (time studies) and questionnaire (tests studies). Software is used for the various analyses in the study. The software used was Minitab. Software tools used for various analyses in the study are: statistics, correlation, polynomial regression and response surface regression, while t – value, F- ratio, p – values, effect coefficient and variance of inflation factors (VIF) were used to test the hypotheses.  Results from the various statistical analyses were presented, studied and interpreted. The results showed that the identified factors have impact on the performance of the manufacturing workers in the plastic manufacturing industries. The fall in performance of manufacturing workers in plastic industries is due to these cumulative effects of factors. The magnitude of these effects of the combined and interactions on performance are 42.57% ( 0.15), 43.67% ( 0.1) and 43.67% ( 0.05). The effect reduces as confidence interval increases above 90%. The correlation coefficients of the factors to performance are all showing positive linear effects while the regression model coefficients some show negative effects. The models developed in quadratic shape factor are valid in predicting performance and their combined and interactions effects apparently providing information for controlling problems arising in manufacturing workers performance in industries in the South Eastern Nigeria and any other place

Keywords: Factorial Indices and Regression Models., Industries, Manufacturing Workers, Performance

Investigation of Factors Affecting the Performance of Manufacturing Workers in Industries in South Eastern States of Nigeria (Published)

This paper investigated factors affecting the performance of manufacturing workers in industries in southern Eastern Nigeria. Experiments were designed to investigate those identified specific factors anticipated that have effect on operators of machines in manufacturing shops; to generate information and data needed in the analyses. Results obtained from the various statistical analyses performed were studied and interpreted. The correlation coefficients of the chosen factors: motivation, Power/Energy, safety, Maintenance, Training, equipment, and Technology were respectively calculated and obtained as: 0.95, 0.70, 0.72, 0.78, 0.95, 0.95 and 0.86; the coefficient of determination, R2 obtained to be 0.948 for overall data, and for each studied factors as: 0.90, 0.49, 0.52, 0.61, 0.91, 0.90 and 0.74 respectively; the variance ratio (VR) is 195.5; and F- value and t – values returned by the SPSS program are greater than the each respective statistical table value at a confidence level of 5%, which indicate good acceptance level. Curves were generated to observe the behavioural patterns of the relationship between manufacturing workers factors effect and their performances. Results obtained show that the identified factors affect the performance of manufacturing workers in the manufacturing industries, with little or no effect of co linearity.

Keywords: Factors, Industry, Manufacturing, Manufacturing Workers, Performance and Regression Analysis

Investigation of Some Factors Affecting Manufacturing Workers Performance In Industries In Anambra State Of Nigeria (Published)

The poor Company’s output is directly related to the poor performance of the production workers, which is a function of how effective are those factors influencing production is maintained in the manufacturing workers. Therefore a survey of the factors affecting manufacturing workers in industries in Anambra State was carried out to ascertain whether there is any effect of the factors on the productivity of workers, and by what degree is the effect, and what improvement to be made in the problems arising in manufacturing due to the factors. Experiments were designed to investigate those identified specific factors that have effect on operators of machines in manufacturing shops to generate data needed in the analyses. Results obtained from the various statistical analyses performed were studied and interpreted. The multi linear regression of correlation coefficients, R and coefficient of determination, R2 of the chosen factors: Power/Energy, safety, Maintenance, Training, and Technology were respectively calculated to justify the data. Other information were presented in graphs and tables validating the claims over the results, whether any of the factors affecting or not affecting the performance of manufacturing workers in Industries in Anambra State. Results obtained show that some of the identified factors affect the performance of manufacturing workers in the manufacturing industries. Finally, there is no co-linearity among the factors.

Keywords: Factorial Indices, Industry, Manufacturing Workers, Performance, Regression Coefficients and Co-linearity