Overall Equipment Effectiveness (OEE) is a method of measuring the effectiveness of the use of equipment. This method is known as an application of a Total Productive Maintenance (TPM) program. The ability to clearly identify the source of problem and it causal factors is the main advantage of this method since the improvement effort becomes focused. Britannia Industries Pvt. Ltd. is one of the manufacturing companies that produce biscuits. Based on data from the Bourbon line production department, for the period of July- September 2019, the production process of bourbon biscuit often experienced constraints due to the high downtime and losses in the cookie capper machine. This resulted in the use of production process equipment that had not been optimal. It is important to find out the source of the problem and its causal factors before the company makes any improvement effort. This study aims to identify equipment losses and measure the achievement of OEE values in the cookie capper machine. The measurement result shows that the average of the effectiveness of cookie capper machine for the period July- September 2019 of was 69.47% and based on Japan Institute Of Plant Maintenance (JIPM) the value has not reached the standard that is > 85%, however, there is still possibility for improvement. The losses that give the most significant effect on the overall equipment effectiveness of the cookie capper machine is reduce speed that was equal to 26.23%. One way to minimize the losses is by maintaining the actual speed of operation and maintaining wear on each cookie capper machine.
A swingarm is the most crucial component of modern motorcycles use to provide suspension, hold the rear axle firmly, manage load distribution and maintain the centre of gravity. Boring is one of the most critical operation in swing arm manufacturing. The objective of this research work is to conduct a case study on process capability and its improvement for the most critical operation in swingarm. The boring operation was performed on swingarm using CNC boring machine and observations were recorded. X and R Control charts were plotted and commented on process control. The process capability indices Cp, Cpk, Cpm and Cpmk were calculated using MINITAB 19 statistical software. Among all indices, Cpmk was found to be more trustworthy with respect to the process output. Process improvement was suggested by changing the process mean towards the goal. Further analysis of such data is possible using Taguchi's loss function for quality improvement.
This paper discusses the identification, mechanism and causes for the rough surface defect on the sand castings. In foundries raw materials are transformed into finished casting using many intermediate processes like pattern making, moulding, core making, melting and fettling. It is very difficult to control all these processes due to the involvement of lot of people and materials. It is always a challenging task for the foundrymen to produce quality castings with good surface finish consistently. Generally rough surface on casting may occur due to a single cause or a combination of causes. Hence, identification and finding the root causes for rough surface defect are important to prevent its occurrence further. The possible causes for rough surface defect involving the foundry tools and processes are presented as cause and effect diagrams. The main outcome of this paper is to investigate the significant factors causing this defect and to prevent it on the castings.
This work aim at investigate the influence of grass-cutter hair fiber (GHF) as reinforcement in polypropylene (PP) composites. The mechanical and water absorption behaviour of the fabricated GHF/PP composites were investigated. From the result, it was observed that at low weight fraction of GHF after treatment, both the mechanical and wear properties were enhanced, which may be attributed to the removal of waxy materials from the fiber surfaces and the addition of oxygenated functional group at the surface and edges of the fibers. While the water absorption capacity of the composites was enhanced due to the presence of hierarchical micro-pores in the composites. Hence, the composites can be used as light-weight engineering materials for automobile applications.
Hazard is a potential source to cause the hostile consequences to physical or mental condition of a person in the workplace. Risk means the effect of uncertainty which may be either positive or negative. Risks assessment is the identification of risk sources, analyzing and evaluating them to understand the degree of safe and healthy work environment. Failure mode and effects analysis (FMEA) is the process of revising the practices as possible to identify potential failure modes in each activity, their root causes and effects on them. The purpose of this research is to analyze hazards and potential risks of work safety commonly occurred in high rise construction sites in Myanmar. Questionaries' are used for categorical data of hazards and potential risks to differentiate between real time and necessary control levels for work safety and introduce the applicable ways to be prevented. The research findings indicate the techniques to control and eliminate the hazards and potential risks through FMEA method and OH&S management system by identifying the critical work situations, the gaps between the control levels, understanding cross functional working relationship, standardizing safety norms and practices, reducing costs and increasing customers' satisfaction.
The importance of office facilities and workplace environment in the university system cannot be overemphasized because office facilities help in facilitating work schedules and increase staff's efficiency and productivity. Unfortunately, in many universities in the developing countries such as Nigeria, there are in-adequate facilities in the staff offices, and such has resulted in low productivity and has impacted negatively in universities' global ranking. The study assessed the facilities provided in the staff offices at the federal university of technology Akure Nigeria and examined the essential facilities that influence staff productivity. A total of 204 questionnaires were administered to both the academic and non-academic staff members drawn from the eight (8) academic schools that are in the university. 184 of the administered questionnaires were retrieved from the respondents representing 90.2% and therefore served as the basis for the analysis. A descriptive method of analysis was used to analyze the data. The study revealed that the conditions of fire prevention facilities such as fire extinguisher installed for workers are not functional; the same applies to the toilet facilities. Also, the further revealed that the staffs are very dissatisfied with the condition of conveniences and the state of the sofa in the offices. Finally, the study revealed that the most relevant facilities that influence staff productivity are water, electricity, and Wi-Fi. The study, therefore, recommends that the universities should make adequate provision for water, toilet, electricity, sofa, and fire extinguishers in the staff offices as these have the potential of motivating workers for greater commitment and higher productivity.
This paper presents an approach to forecasting air pollution levels measured as Air Quality Index (AQI) metric using hybrid Long Short-Term Memory (LSTM) models. The pollution levels have been found to vary in a particular pattern that depends on both the overall climate or season as well as the hour of the day. The hybrid model captures these 2 patterns and makes the prediction of AQI of some future hour. It employs 2 separate LSTM models that are trained on time-series data of AQI gathered at different time lags i.e. hourly and daily. The final output is given as a weighted sum of the 2 outputs produced by LSTM model. Upon comparing the performance of the standalone hour-wise forecasting LSTM model and the hybrid model it was found the latter gives the minimum error metric given an appropriate weight is chosen.
Emerging financial crises adversely affect the activities of banking institutions, which requires additional measures of the bank aimed at allocating resources with a minimum level of risk. Developed at the legislative level mechanism of interaction between credit bureaus and bank institutions will help to avoid losses and reduce the risk of damages in the implementation of credit operations. The study proposes to resolve some issues of improving the legislative and regulatory framework on the interaction of the bank lending segment and credit bureaus. The research results can be taken into account when making changes and additions to the current legislative framework. Banking institutions need to interact with credit bureaus, which specialize in collecting and storing information about borrowers. But there are problematic aspects observed in the functioning of the credit bureaus in the Russian Federation, which are analyzed in the article. The theme direction of the study is relevant, since when issuing credit funds a banking institution should minimize the risk of default.
The objective of the study was to assess the service quality of private banks and its impact on customer satisfaction and customer loyalty. The importance of this study is that it focuses on investigating the impact of various service quality dimensions on the satisfaction of customers using banking services provided by private banks of NCT of Delhi. The responses obtained from the respondents are analyzed using the Regression analysis. The test of significance is done with the help of t - test and ANOVA. It was found that there was a need of improvements of service quality on all the five service quality dimensions, especially the dimensions of Responsiveness and Empathy. It was also found that there was a significant relationship (strong positive correlation) between all service quality dimensions and the customer satisfaction which leads to customer loyalty.
Assuming that the surfaces of the truncated conical plates are transversely rough and considering the porous structure based on the Kozeny-Carman model, in the transverse magnetic field, the issue of the squeeze film between electrically conductive rough porous surfaces with electrically conductive lubricant is analyzed. The roughness of the surface of the bearing is dependent on a stochastic random variable with non-zero mean, variance and skewedness. After stochastically averaging the equation of Reynolds with regard to the parameter of random roughness, the pressure distribution, which in turn leads to the load carrying capacity, is solved with suitable boundary conditions. The analyses are displayed in both graphic and tabular form. It is known that the bearing roughness is transversely rough in general. Nonetheless, in the case of negative skewed roughness, the condition can be restored to some level by choosing the conductivities of the plate, if there is a negative variance. It is also found that even when there is no flow the magnetic field bearing can sustain a load.
This paper aims to identify the factors that most affect service quality in fast-food restaurants (FFR) from the Brazilian customers' perspective. Factor analysis was used to verify the items of the DINESERV scale. Cronbach’s α and item-total correlations were used to measure the reliability of the questionnaire; linear regression was conducted to identify the factors that most affect the service quality and, Quartiles analysis was used to determine the most critical items in service provision. The study was conducted at eight FFRs located in malls. Reliability, physical facilities and empathy are the factors that most affect the service quality. The most critical items are related to empathy, i.e., the employees need to be more sympathetic, sensitive and interested in anticipating the customers' needs and wants. The necessity of improvement of service quality on empathy issues confirms the challenge of FFRs in making services "warmer".
The paper describes a method for solving the procurement optimization problem based on inverse calculations. The method involves solving the unconstrained optimization problem and adjusting the obtained values of arguments subject to the constraint. Compared to conventional nonlinear optimization methods, the proposed method is easier to implement with computer software, since it does not require any determination of additional variables and multiple solutions to an unconstrained optimization problem. A solution to a two-constraint problem using inverse calculations has been considered. In this case, the optimization problem is transformed into a single-constraint problem. Therefore, when constructing a system of equations for determining increments of arguments, the transformed form of the objective function and the constraint are taken into account. This paper discusses a solution to a procurement portfolio development problem for a confectionery company with a limited budget and a target value of contribution margin. The obtained solution was compared with the solution produced by the mathematical software package and the penalty method. The result of this comparison is presented in the paper. The proposed algorithm can be used in systems intended to support the procurement decision making process. The algorithm can also be used to solve quadratic programming problems of the considered form in other fields of research.
Every organization is moving towards new concepts and philosophies. Big Data is a growing broad concept and philosophy for many. A lot is need do on Big Data in context of IT world. In perspective of Human Resource and Big Data is at initial level where things are bit confusing and many HR Specialists still un-aware of this term. Big data is such kind of data, which resides and keep evolving to grow more day-by-day due to its dynamic nature. Big Data imbue numerous potential can be used in area of HRM. Big Data will caste new paradigm shift is HRM, where HR managers can easily decide and execute new HR strategies of future. Big Data will replace the old HR practices by ministering new techniques and policies by Technology, Analytics and Software inclination in every organization with time to come. Through analysis of literature and published research, we revealed that most of researchers are using the observational technique and data produced by algorithms and software as well as organizational process.