Business Operations of Material Handling

Question: Discuss about the Business Operations of Material Handling. Answer: Introduction 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 operations of Material Handlings System involve the protection, control, storage and movement of material by fostering on providing place and time utility. However, Material Handling Systems have severe issues or challenges in regards to delivery precision, inventory levels, operation costs, delivery quality, information flow as well as safety (Fekete et al., 2015). Moreover, these issues ultimately create consequences to the business operations to the organizations who deal with selling this product. Therefore, the assessment as well as management of the risks associated with MHS is the major concern for this particular research. Research Aim and Objectives 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 Method 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 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. Proposed Timeline Major Stages or activities Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7 Topic Selection Primary Data collection Creating layout Literature review Research Plan Formation Appropriate Research Technique Selection Analysis and Interpretation of Data Collection method Data Findings Conclusion of the Study Rough Draft Formation Final Project Submission Conclusion 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. Bibliography 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). 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