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Relationship between Working Capital Management and Profitability in Context of Manufacturing Industries in Bangladesh  [cached]
Sayeda Tahmina Quayyum
International Journal of Business and Management , 2011, DOI: 10.5539/ijbm.v7n1p58
Abstract: This study is an attempt to investigate if there is any relationship between working capital management and profitability of manufacturing corporations. For this purpose Corporations enlisted with the Dhaka Stock Exchange has been selected and the analysis covers a time period from year 2005 to 2009. The purpose of this paper is to figure out if there is statistically significant relationship between the profitability and working capital management and help explain the necessity of firms optimizing their level of working capital management efficiency and in that way management taking productive actions to maximize their profitability. The result of this study clearly shows that except for food industry all other selected industries have a significant level of relationship between the Profitability Indices and various Working Capital Components. This paper also shows that the significance level of relationship varies from industry to industry.
Employee Health and Safety Practices: An Exploratory and Comparative Study of the Shipping and Manufacturing Industries in Ghana  [cached]
Samuel Howard Quartey,Bill Buenar Puplampu
International Journal of Business and Management , 2012, DOI: 10.5539/ijbm.v7n23p81
Abstract: The state of employee health and safety in the shipping and the manufacturing industries in most developing economies remains largely unexamined. The purpose of this study was to examine employee health and safety practices in the shipping and manufacturing industries. The results from the quantitative analysis indicated that employees in the shipping and the manufacturing industries are prone to employee health and safety hazards. The findings suggest that management and employees demonstrated negative attitudes towards employee health and safety practices in the industries. Results also showed that the shipping industry had more employee health and safety initiatives than the manufacturing industry. The results further revealed that the age, gender and levels of education of employees do not influence employees’ attitudes toward health and safety practices. The qualitative analysis also revealed that low productivity and high medical and insurance bills were associated with ineffective employee health and safety practices while effective health and safety practices led to high profitability and high productivity. Further, inadequate health and safety education and promotion as well as ineffective regulatory bodies were the major national challenges to health and safety practices. Moreover, non-compliance behaviours of employees as well as inadequate managerial support remained the industrial challenges to health and safety practices. In conclusion, industries must consider employee health and safety as their internal corporate social responsibility (CSR) investment.
Prediction of Profitability of Industries using Weighted SVR  [PDF]
Divya Tomar,,Ruchi Arya,,Sonali Agarwa
International Journal on Computer Science and Engineering , 2011,
Abstract: In order to measure the profitability of an industry by predicting Pre-Tax Operating Margin by applying regression technique on Price/Sales Ratio and Net Margin of various industries. Prediction ofPre-Tax Operating Margin is done using Support vector Regression (SVR). We present a model in this paper in order to solve the problem of over-fitting which is due to noise and outliers in dataset. For this a weighted coefficient based approach is proposed that reduces the prediction error and provides the higher accuracy than simple support vector regression. At last, the comparison of SVR using different kernel functions with weight is done and results of experiments shows that LS-SVR with RBF kernel function using weighted coefficient have better accuracy.
CAD/CAM in Nigerian Manufacturing Industries: The Case of Nigerian Casting Industries
Adejuyigbe, S.B.
Journal of Engineering and Applied Sciences , 2012,
Abstract: This study discussed the application of Computer Aided Design/Computer Aided Manufacturing (CAD/CAM) in Nigerian Casting Industries. Questionnaires were administered in twelve (12) casting industries visited, in Lagos, Osun and Kogi States.The results of the research shows that 42% of the under study had incorporated CAD/CAM into their casting industries, while about 58% has not incorporated CAD/CAM into their operation. The percentages of the expatriate involved in the casting operation in these industries were examined to have about 13% and also the plant ages were examined. The result of the study shows that the use of Computer as an aid in casting industries has greatly improved the casting operation at all sections/stages of production. It was however discovered that about 71% of Nigeria casting industries are still depending on foreign raw material (software packages) because of insufficient software developers that are very few in our developing society.
Computer Aided System for Manufacturing Industries Economic Production Status Determination
Basil Olufemi Akinnuli, Eugene C. Kalu-Imo, Anakobe Jimoh Yakubu
Open Access Library Journal (OALib Journal) , 2018, DOI: 10.4236/oalib.1104133
Abstract:
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.
ANALYSIS OF THE ACCIDENTS OF THE CAR MANUFACTURING INDUSTRIES
J.Adl ; Z. Mohammad zade
Iranian Journal of Public Health , 1993,
Abstract: Car manufacturing industry accident’s rates from three major companies are analyzed. Totally 1325 accidents with 4 cases of fatality were recorded. Accident rates per 100 full-time workers have gradually increased from 5.3 to 8.7 during 3 years of study. Most of the accidents occurred during the primary hours of the work, Strains and sprains represented the most frequently occurring type of injury, accounting for 37.9% and the greatest number of injuries occurred by flying particles (3 1.6%), resulting in eye injuries. Other aspects of accidents in this industry are discussed and recommendations are given for their prevention.
Malaysia’s Food Manufacturing Industries Productivity Determinants  [PDF]
Elsadig Musa Ahmed
Modern Economy (ME) , 2012, DOI: 10.4236/me.2012.34057
Abstract: This study attempts to fill the gap in existing research on the drivers of total factor productivity growth (TFPG) in Malaysian food industries by employing a parametric statistical method and applying it to the country’s food-manufactur- ing sector. Based on the model, the factors affecting output growth in Malaysian food industries are individual contributions of capital, labour, and materials, as well as the combined contributions of the quality of these inputs expressed as TFPG. Our results for the food-manufacturing sector depict characteristically low productivity levels. The contribution of TFP growth for 13 out of 27 food industries was negative during the full period of analysis (1971-2000) and the sub-period 1987-2000. Eleven industries were found to have contributed negatively to TFPG over 1971-1979 and 1980- 1986. What explains our findings is the low quality of inputs into these food industries, which are input-driven rather than TFPG-driven.
The VAT Reform and Its Financial Impacts  [cached]
Weimo Huang
Asian Social Science , 2009, DOI: 10.5539/ass.v5n5p94
Abstract: Since January 1st 2009, all regions and industries in China have implemented the VAT reform. Therefore, in this article, the author makes an analysis on the background of the VAT reform based on a review of the types of VAT and its reform practice. He also points out impact of the overall implementation of VAT on corporate finance.
Producer Service and the Added Value of Manufacturing Industries, An Empirical Research Based on Various Industries of Different Countries  [cached]
Xiaojing Zhang
International Journal of Economics and Finance , 2009, DOI: 10.5539/ijef.v1n2p21
Abstract: This article makes an analysis in the mechanism that how producer service promotes the added value of manufacturing industries. Producer service is regarded as an important source of scare factors for value creation in manufacturing. Therefore, the rapid development of producer service leads to cost cut and efficiency promotion in manufacturing industries. Added value rate is then chosen as the measurement to the influence of producer service on manufacturing. An empirical research is made based on data from China, the Czech Republic, France, Japan, South Korea, Norway, the United Kingdom and the United States. It shows that more producer service is used as an input, higher rate of added value can a manufacturing industry gain from it.
Critical Success Factors of Sustainable Competitive Advantage: A Study in Malaysian Manufacturing Industries  [cached]
Gowrie Vinayan,Sreenivasan Jayashree,Govindan Marthandan
International Journal of Business and Management , 2012, DOI: 10.5539/ijbm.v7n22p29
Abstract: To develop a theory relating to SCA, one needs to define the measurement criteria for SCA. In recent times, although there were many researches that were undertaken focusing in the area of Sustainable Competitive Advantage (SCA), there is still, however, a lack of an operational definition for SCA. There is no one agreed upon method for evaluating sustainable competitive advantage for business organizations and hence the measurement criteria for SCA have not been established despite the extensive focus in the area. In the past, performance indicators such as profitability or market share have always been used to justify the determinants of the SCA. Should both the factors play a leading role in determining the SCA, what about other auxiliary or peripheral factors that could be a contributing point? There should be a quantitative numerical value that depicts the sustainability of a manufacturing organization. The key objectives of this study are to examine the definition and the various viewpoints on Sustainable Competitive Advantage and subsequently to develop a measurement criterion that represents Sustainable Competitive Advantage. Given such kind of scenario, the initial step would be to develop or create an operational definition for SCA. This paper hence is an attempt to explore the various viewpoints on literatures on Sustainable Competitive Advantage and to develop dimensions that represents Sustainable Competitive Advantage. We conceptualized a framework to evaluate the influence of four variables namely; Effective Supply Chain Management (2) Product differentiation and Innovation, (3) Organizational responsiveness; and (4) Cost Leadership. The study is based on empirical data collected from a survey of managers of Malaysian manufacturing industries. The data were collected through an email survey, and had 300 valid responses. The analysis shows that all the four hypotheses were supported. The findings of this study would assist in defining a more precise way of achieving a sustainable competitive advantage in Malaysian manufacturing industries.
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