Harold Godwin - Academia.edu (original) (raw)

Papers by Harold Godwin

Journal of Emerging Trends in Engineering and Applied Sciences, 2013

The maintenance expenditure accounts for 20-50% of the production cost for many asset-intensive i... more The maintenance expenditure accounts for 20-50% of the production cost for many asset-intensive industries depending on the level of mechanization which when reduced will lead to reduction in production cost. This paper aimed at integrating the efficiency and effectiveness of the production function into equipment and plant maintenance in Cutix Cable Manufacturing Plc. Nnewi, Nigeria through the review of their maintenance input for the year 2011. The objectives are to identify the lapses in their maintenance culture using the maintenance performance productivity model, to identify the effectiveness and efficiency of their production system using the overall equipment effectiveness/efficiency model (OEE) and as well establish the correlation between their performance and the productivity of their system using the statistical analysis technique. Findings revealed 98.8 hours of breakdown resulting to ₦990000 ($1.55B) being cost of breakdown repair. Equipment effectiveness/efficiency v...

Optimization of Packaging Line Performance is a book that detailed on the optimization of the pro... more Optimization of Packaging Line Performance is a book that detailed on the optimization of the production system and can be applied in all the packaging lines of different products. It is about optimizing packaging lines using the best engineering tools to find the problems of the system and carefully analyze the system behaviour to discover the bottlenecks, which hinders the maximum utilization of the available production capacity of the system. It deals with discovering the causes of external downtime, internal downtime and machine failures. All these are carefully done with the application of Pareto Analysis and Fishbone Diagram. Then followed by the calculation of Operational Performance Index (OPI), Overall Equipment Effectiveness (OEE), Machine Efficiency, V-graph, MER, Line Efficiency, Core Machine. These will help you to determine the bottlenecks in the system. It should be followed by the application of Design of Experiment and Simulation to find the best approach to solving...

The problem of determining what to order, when to order, how much to order and how much to stock ... more The problem of determining what to order, when to order, how much to order and how much to stock so that costs associated with ordering and holding are optimal without interrupting production or sales, have been one of the major challenges facing manufacturing industries in the world. This paper employed classical (Q, R) inventory policy in determination of optimum order quantity, optimum reorder point and optimum safety stock for the raw materials that will ensure smooth operation in the industry under study. In this study, a simplified continuous inventory control model that can give an instant update of inventory status was proposed. This model was coded in Excel tool pack and was confirmed to give instant update of inventory level at any point in time. The simplified continuous inventory control model proposed will help in solving the problem of overstocking and understocking of both raw materials and finished products in Eagles Height Industries Ltd. Nigeria and similar manufac...

Journal of Engineering Research and Reports, 2020

In this study, an extrusion process was studied in a cable manufacturing company located in South... more In this study, an extrusion process was studied in a cable manufacturing company located in Southeastern Nigeria. The critical-to-quality (CTQ) characteristic considered in the study was the cable diameter and the design effort was to reduce the possibilities of having cables with inconsistent dimensions. Taguchi Orthogonal Array Design L16 (4˄2) was used to achieve the optimum parameter settings after statistically investigating the assumed correlations between the process parameters in relation to cable dimension. Thereafter, an appropriate engineering tolerance interval for the improved process was designed to tighten the existing tolerance of the process from T±0.185 to T±0.032, thus reducing the engineering tolerance by 82.7% from the initial tolerance limit. After the process improvement, the Taguchi loss function approach was used to estimate cost attributed to deviations. The loss function estimation result has shown that the cost attributed to cable diameter deviations from...

Journal of Scientific Research and Reports, 2019

This conceptual paper presents a review of the developing trends in engineering education in Nige... more This conceptual paper presents a review of the developing trends in engineering education in Nigeria for engineering graduates in the 21 st century. A case study approach was used for this study, chronicling several issues that impact quality engineering education presently in Nigeria. However in dealing with the issues this paper recommends that there is a need for Nigeria to become signatory to the international engineering alliance to ensure consistency in standards and the mobility of engineering graduates, encourage university/industrial linkage through the creation of technological parks, and to adapt the system of endowment to gain financial independence.

Archives of Current Research International, 2018

Journal of Scientific Research and Reports, 2017

Journal of Engineering Research and Reports, 2018

This paper presents an approach for improving productivity in breweries. A case study of AB brewe... more This paper presents an approach for improving productivity in breweries. A case study of AB brewery was adopted. Traditionally, packaging line improve performance and productivity based on extrapolation of past experience, but in recent times, the traditional method could not meet up with high increase in demand of products, hence the need to adopt a new approach of using information technology and software to analyze problems and improving performance. Eleven weeks of the following data were collected and calculated; production outputs and running time; OPI and Target; and Packaging line downtimes. Downtimes were grouped into machine breakdown, planned downtime, and external downtimes and analyzed with histogram to know the impact of each group to the overall downtimes. To apply fishbone diagram, it was further grouped into Material, Method, Man and Machine after which a Pareto graph was plotted to understand the area of focus in tackling production system problems. Tecnomatrix pl...

Journal of Engineering Research and Reports, 2018

This study focused on Modeling and Optimization of the operational costs of Nissan Urvan Vehicles... more This study focused on Modeling and Optimization of the operational costs of Nissan Urvan Vehicles of a fleet operator in Anambra State Nigeria. The special design used to fit a second order model needed to optimize the operational costs of Nissan Urvan Vehicles was Box - Behnken design while response surface method (RSM) was used to model and optimize performance characteristics of the vehicles. The response function of the second order model is best characterized by multivariate power equation. Ten (10) years operation data were collected from two sources, namely primary and secondary sources. The primary source of data was from the workshop manager and the statistical office of the company, and from Metrological Institute of Nigeria. The secondary source of data was from Books consulted at different Libraries. The outcome of the analysis of variance (ANOVA) for RSM optimization of operational costs of Nissan Urvan vehicles showed that all the control factors are significant except...

International Journal of Engineering Research in Africa, 2012

Many Production and Business Time Series Are Non-Stationary Time Series that Contain Trend and Se... more Many Production and Business Time Series Are Non-Stationary Time Series that Contain Trend and Seasonal Variations. Seasonality Is a Periodic and Recurrent Pattern Caused by Factors such as Weather, Holidays, or Repeating Promotions. this Paper Presents a Trend and Seasonal Time Series Analysis of Soft Drink Production over the Period 2003–2010, it Is Necessary to Know the Trend in Soft Drink Production to Elicit the Reasons why Demand of Soft Drink Is Increased or Decreased at Specific Periods. the Objectives of this Paper Are (i) to Study the Trends in the Production and Productivity of a Soft Drink Bottling Company, and (ii) Analyze the Demand of the Firm with a View to Identifying Trend that Exists in the Company Using Time Series Analysis. A Software Program Was Developed Based on Applicable Methodology to Facilitate Accurate and Faster Analysis of Data. Characterization of Demand Data Using Decomposition Was Done, which Reveal the Nature of Seasonality, Cyclical Activity, Tren...

Mathematics is the science of number and space, and the language of science and technology. It is... more Mathematics is the science of number and space, and the language of science and technology. It is an essential requirement by every field of intellectual endeavour and human development to cope with the challenges of life. It is also described as the queen and servant of all school subjects, since it cuts across the school curricula (Fajemidagba, 1986; and Akpan, 1987). Mathematics as a school subject affects all aspects of human life at different degrees. For instance, mathematics is relevant in economics, political, geographical, scientific and technological aspects of man because it centered on the use of numbers which is an integral component of every aspect of knowledge. Other areas where the use of numbers is predominant include: statistics, accounts, arithmetic, engineering, and so on. For example the earliest civilization of mankind came through mathematical manipulations through the use of numbers. Mathematics is seen as the language used to describe the problems arising in most branches of science and technology. It is a subject that is related to other school subjects in areas like number and numeration, variation, graphs, fractions, logarithms and indices, algebraic processes, solution of equation and also in area and volume. Mathematics is a key element in engineering studies and serves as language of expressing physical, chemical and engineering laws (Sazhin, 1998

Musculoskeletal disorder (MSD) is an umbrella term that covers a number of injuries caused by awk... more Musculoskeletal disorder (MSD) is an umbrella term that covers a number of injuries caused by awkward movements repeated frequently over time. MSDs occur to the muscles, nerves, joints, ligaments, tendons, arms, shoulders, and neck etc. Most work-related MSDs develop over time and are caused either by the work itself or by the employees' working environment. Other aggravating factors include poor postures, an improperly designed workstation, poor tool design, and work stress. MSDs are also referred to as occupational overuse disorders, cumulative trauma disorders, and repetitive stress injuries. Musculoskeletal disorders can also occur in the patients' life outside work through some sports like-tennis (elbow); music-guitar playing. These external work events can be exacerbated by their daily profession. Typically, MSDs critically affect the back, neck, shoulders and upper limbs; however, they also affect the lower limbs.

The ever-increasing rate of failure of engineering students in engineering mathematics is one whi... more The ever-increasing rate of failure of engineering students in engineering mathematics is one which the school management and entire stakeholders need not wink at any longer. Engineering mathematics is a prerequisite for all engineering discipline. It equips the student with problemsolving skills and cognitive ability needed for higher thinking. The research was conducted to investigate and critically analyze the causes of the recent poor performance of engineering students in the past four academic sessions. Descriptive and Correlation research design were used. The study was designed to capture the entire population of students and some lecturers using questionnaires, interviews, work study, work sampling, and analysis of past results using correlation and regression analysis, chi-square and ANOVA. The findings revealed that students have positive attitude towards engineering mathematics. Nevertheless, poor learning environment and present coordination are major factors contributing to poor performance of students in engineering mathematics. Splitting the lecture schedule into two or more groups, and fair assessment and marking of examination scripts are highly recommended.

Advanced Materials Research, 2013

This study focuses on solving the problem of overstocking and under stocking of production invent... more This study focuses on solving the problem of overstocking and under stocking of production inventory in manufacturing sector. To ensure effective management of inventory in manufacturing sector, three years production data were gathered and properly analyzed using multiple linear regression analysis and time series forecasting methods. A multiple linear regression model was developed in MINITAB software to make prediction for inventory requirements. From the result, the coefficient of determination (R2) is 1.00, the adjusted R2 is 1.00, F-distribution is 4.212 x 107 which is greater than any value in F-distribution table, and all these show a very strong relationship between the dependent variable and the independent variables. Also, a Time series analysis was done to make forecast of monthly inventory requirements for both raw materials and finished products. Trend analysis and Moving Average method were used in Time series forecasting, and lower Mean Absolute Percent Error (MAPE) ...

Advanced Materials Research, 2013

The study was undertaken to ascertain the effects of holding time during secondary steel making, ... more The study was undertaken to ascertain the effects of holding time during secondary steel making, casting duration, strand loss per heat, and tonnage of steel returned per heat on continuous casting yield (%). A total of 1910 heats, spanning a period of seven years (41 production months) were used for the study. Monthly tonnage of liquid steel produced and cast and the corresponding yield were computed from the casting reports. Also extracted from the casting reports are the average monthly holding time (mins) during secondary steel making, monthly average heat casting duration (minutes), average strand loss per heat and monthly average tonnage of steel returned per heat. A statistical package for social sciences (SPSS) was used to analyse the data obtained. The yield was found to be negatively correlated to steel holding time during secondary steel making (-0.257 mins), strand loss per heat (-0.753 tons), and tonnage of heat returned per heat (-0.944 tons), but positively correlated...