Business Operations of Material Handling

This study provides an outline of a research project aiming to assess as well as manage risks associated with the operations of material handling system in the business context. Thus, this study provides brief outline of the research problem along with establishing research aim and objectives. Moreover, this study also illustrates a brief idea regarding the methodologies to be used in the project. The major aim of this research is to assess as well as manage risks associated with the business operations of the Material Handling systems. The major objectives associated with this research are to To assess the risks associated with the business operations of MHS To explore the strategies through the issues with MHS can be addressed To demonstrate how the risk management plan of MHS mitigate the business issues Data collection methodology can be termed as the procedure to collect and measure data over the targeted variables in a systematic manner. Data Collection Methods can be classified into two groups such as Primary and Secondary Data Collection Methods (Mackey & Gass, 2015). Primary Data Collection technique deals with conducting questionnaires, interviews or surveys with a small group of individuals. Moreover, Secondary Data Collection methods utilize the past researches to gather data from several sources such as articles, peer-reviewed journals and others (Chang et al., 2013). However, Primary Data Collection technique would be utilized by conducting survey among near about 50 employees who are associated with the manufacturing of MHS. Data Analysis method is the technique of inspecting, cleansing, transforming and modeling data with the aim to support decision-making, discover helpful details and suggest conclusions. Qualitative and Quantitative Data Analysis techniques are two major categories of Data Analysis methodology (Taylor, Bogdan & DeVault, 2015). Qualitative Data Analysis technique is the range of processes whereby researcher moves from the data gathered into some forms of explanation, understanding or interpretation of investigated scenarios (Flick, 2015). Furthermore, Quantitative Data Analysis is such a systematic way of investigation strategies during collecting numerical data, which allows researcher transforming what is noticed within the numerical data. This, quantitative data analysis method would be selected for analyzing the numerical data gathered from survey conducted among 50 employees who are associated with the manufacturing of MHS. Appropriate Research Technique Selection Analysis and Interpretation of Data Collection method After outlining the research proposal, it can be stated that the risks associated with the operations of MHS would be assessed and managed properly based on this outline. Moreover, this risk assessment and management would also help the researcher to resolve the business issues with MHS. Chang, Q., Pan, C., Xiao, G., & Biller, S. (2013). Integrated modeling of automotive assembly line with material handling.  Journal of Manufacturing Science and Engineering,  135(1), 011018. Ezema, C. N., Okafor, E. C., & Okezie, C. C. (2016). Industrial Design and Simulation of a JIT Material Handling System.  European Journal of Engineering Research and Science,  1(6), 52-57. Fekete, P., Lim, S., Martin, S., Kuhn, K., & Wright, N. (2015). Combined Energy and Process Simulation to Foster Efficiency in Non-automated Material Handling System Design.  Studies in Engineering and Technology,  3(1), 28-39. Felshin, M., Frenkel, I., & Khvatskin, L. (2016, February). Availability and Unloading Capacity Assessment of Multi-state Material Handling System, Operate in a Stochastic Environment and Material Handling Stochastic Demand. In  Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO), 2016 Second International Symposium on  (pp. 357-364). IEEE. Flick, U. (2015).  Introducing research methodology: A beginner's guide to doing a research project. Sage. Mackey, A., & Gass, S. M. (2015).  Second language research: Methodology and design. Routledge. Midday, J., Nelson, C. A., & Oleynikov, D. (2013). Improvements in robotic natural orifice surgery with a novel material handling system.  Surgical endoscopy,  27(9), 3474-3477. Padole, A. K. G. S. (2014). DESIGN AND ANALYSIS OF DUMP VALVE IN ASH HANDLING SYSTEM USING PRO-E AND ANSYS SOFTWARE.  International Journal of Innovation in Engineering Research and Management ISSN 2348-4918, ISO 2000-9001 certified, E,  1(2), 1-7. Taylor, S. J., Bogdan, R., & DeVault, M. (2015).  Introduction to qualitative research methods: A guidebook and resource. John Wiley & Sons. Wang, C. N., Lin, H. S., Hsu, H. P., Wang, Y. H., & Chang, Y. P. (2016, April). The Preemptive Stocker Dispatching Rule of Automatic Material Handling System in 300 mm Semiconductor Manufacturing Factories. In  Journal of Physics: Conference Series  (Vol. 710, No. 1, p. 012033). IOP Publishing.