Research Strategy of Ice-Cold Defects after Delivery

            The research strategy for this report is used the quantitative research which discusses the various methods for the data collection as well as it is used for the analysis of the data configuration. This research strategy is used to resolving the problem of the Ice- Cold Company. Additionally, it tries to identify the attributes of the financial respondents for measuring and determines the problems of the Ice-Cold due to which the management of the Ice-Cold is worried.

        In order to analyze the problems that Ice-Cold Company has been facing regarding component defects and issues raise by the HR, the Quantitative and descriptive observational strategies are used in this report so that estimation of the statistical analysis could be applied. The problem faced by the ice-cold manufacturer the quantitative technique is used by generating the numerical data and transforms it to useable statistics. It is emphasized by this technique the statistical and numerical data analysis. As it is obvious that “the exploration procedure gives a methodical, arranged way to deal with an examination venture and guarantees all parts of the task are steady with one other". The exploratory research about the Ice-Cold Company is based on the quantitative research study by using the positivist paradigm and deductive research approach (Wildemuth 2016).

        The quantitative method is used for this research study of the Ice-Cold Company because its good way of analyzing the data for determines the solutions of the problems (Savela 2018).  The quantitative method is used to collect the data about the Ice-Cold Company as it is a more appropriate technique to conduct the research regarding solutions of the problems. In the Ice-Cold Company business research, the quantitative technique is the best option to choose. Though, this method has been criticized for being relatively concerned with the analysis and measurement of casual relationship rather than processes.

        This design of the research study is used for investigating the three problems of the Ice-Cold company in the market of the United Kingdom. The secondary research is used for this exploratory research study which is conducted by using the time series data according to the 2014-2018 for identifying the problem of the Ice-Cold company. The data is collected from the website of the company which is provided by the senior manager of the Ice-Cold company. This Raw data is provided in the appendix at the end of this research work. Due to the removal of the sharpness according to the time series data these all series are considered as natural logs. According to the neutral empirical evidence, the best option is this type of log transformation. The software of the Microsoft is used for the estimation of company data.  The explanation of the independent variables is given below.

        In this research study, for the problem one the research study has to examine the influence of the effective HR program on the delivered number defects of the Ice-Cold it means in the aspect one the HR program is independent variable and the number of the delivered defect is the dependent variable. For problem two, the research study has to examine the influence of the employee's age, level education and the training days on the repair staff retention of the Ice-Cold it means in the aspect two the repair staff retention is dependent variable and the employee's age, level education and the training days is independent variable.

        For the third aspect, the data is analyzed by using the historical data of the previous years for the sales forecasting. This data is analyzed by using the software of the Microsoft for evaluating the values of MAPE for each model and the data is used to calculating the sales forecasting for the next two years.

Statistical analysis of Ice-Cold Defects

        The SPSS software is used to analyze the data provided by the ice-cold manufacturer so that chances of the data manipulation could be minimized (Willams 2007). The ice-cold manufacturer data, after being analyzed using time series regression analysis are summarized and presented in the tables. The following statistical analyses methods are applied to the ice-cold manufacturer data.

Simple Linear Regression of Ice-Cold Defects

    The regression test is applied to the data provided by the ice-cold manufacturer to analyze the behaviour that how the number of deliverable defects is reduced. It is also used to checking the relationship of two or more than two variables.

For Aspect 1 of Ice-Cold Defects after Delivery

        In this aspect, Mr James wants to analyze how the number of defects can be reduced according to their limits. The chart of the scatter plots is used for analyzing this in which limit of the defect considered as dependent variables and numbers of delivered defects is independent variables.

            In the above-given table the P value shows the significance of the model and the results show that the time variable for the ice-cold manufacturer is fit in this model.  In this research study independent variable is time, and the dependent variable defects. The SPSS analysis has indicated that the value for R square is 0.563, and this value shows that how much defects of the ice-cold manufacturer is affected by the time. It means that defects are approximately 56% affected by the time. Moreover, the SPSS results have indicated that the value of adjusted R square value is 0.556 that shows the percentage of variation in defects of ice-cold manufacturer due to the time. The p values in the SPSS results determine the significance of the variable (Estout 2018).

        The above given scatter plot shows in the 60 months the 375 deliver defects are and in this chart, the time is considered as the predictors and the defects are known as the dependent variables.

For Aspect 2 of Ice-Cold Defects after Delivery

In aspect two, Mr James wants to resolve the issues of the high turnover for the repair staff is raised by the directors of the human resource of the Ice cold. For resolving this issue, the linear regression is applied in the given data in which staff retention is dependent variables and age, education and days of training of the employees are considered as independent variables

Interpretation of the regression

            In the above-given table the P value is calculated through SPPS that shows that confirms the model significance for the ice-cold manufacturer. In this aspect of ice-cold manufacturer analysis, there are various independent variables i.e. age, years of education and days of training while the dependent variable is staff retention. In the above-given table, the SPSS results show the value for R square is 0.665, and it shows age, years of education and days of training affect the staff retention by approximately 66%. Moreover, the value of the adjusted R square value is also calculated through SPSS that is 0.637 showing the percentage of variation in the staff retention due to age, years of education and days of training.

For Aspect 3 of Ice-Cold Defects after Delivery

    In the aspect 3, Mr James has required sales forecasting for the next two years. By using the historical data as well as soft wear of the Micro soft office the sales for casting has been calculating for next two years 2019 and 2020 for both markets of the United Kingdom as domestic and commercial. The sales forecasting is given in tabular form and the Sales are increased each year with the rate of 10%.

Domestic sales of Ice-Cold Defects after Delivery

Interpretation of Ice-Cold Defects after Delivery

        In the above-given tables the forecasted sales are presented for 2019, 2020 in the domestic and commercial both markets, it means the upcoming years of the sales of Ice-Cold are growing according to the rate of 10% ratio. The growth rate can be estimated by assuming the previous ratio of the growth of the sales. Y increasing the sales of the company for domestic and commercial market the revenue of the company will increase and the sales forecasting considers as the best approach for taking the decision about the next years of the sales. The revenue of the past several years of the Ice-cold can be seen as the growing, this ratio shows the company can take the decision of eth forecasting easily because sales and revenue of the Ice-Cold will increase in upcoming years instead of the declining.

        The graph for the forecasting sales of the domestic market is generated by using the Microsoft excels. The above-given line graph shows the variance of the actual sales as well as forecasting sales. The line graph for the domestic sales shows the forecasting of the Ice-Cold going very well and this company can enhance its productivity.

  The graph for the forecasting sales of the commercial market is generated by using the Microsoft excels. The above-given line graph shows the variance of the actual sales as well as forecasting sales. The line graph for the commercial market shows the forecasting of the Ice-Cold going very well and this company can enhance its productivity.

Discussion of the Results of Ice-Cold Defects after Delivery

    The results for this report are concluded as for the problem or aspect one at Mr James wants to reduce the amount of the defective parts which cannot be more than 50 in one month. For resolving the issues of Ice-Cold Company the defects are considered as the dependent variables and time are the independent variables far drawing the graph of the scatter plot for determining the and building the relationship of the variables and the effects of the dependent variables by independent variables. It shows the effect of the variables.

        The results of the aspect two shows which are generated for resolving the problems of the high turnover for the human resource department of the Ice-Cold and this problem can be resolved by using the linear regression in this report. The dependent variable is staff retention and independent variables are age, training and the education of the employees. These results show the dependent variable is affected by the independent variables with the highly significant value.

        It is concluded that Mr James who is senior manager of the Ice-Cold must be a focus on the decision of the sales because the sales forecasting shows that the sales increase in every quarter of the years which shows by using the sales forecasting strategy the decision for sale can be strong. It is proved by the sales forecasting the Ice-Cold Company can enhance their sales by using the assumptions of 10% for domestic and commercial sales. The assumptions of 10% per cent are considered as the best-suited standard for enhancing the sales of the domestic and commercial markets. The 10% ratio is for the increase in sales also seen in the historical data of the sales of the Ice-Cold.

References of Ice-Cold Defects after Delivery

Estout. 2018. Documentation for estout. http://repec.org/bocode/e/estout/hlp_estout.html.

Savela, Timo. 2018. "The advantages and disadvantages of quantitative methods in schoolscape research." Elsevier ( 31-44) 31-44.

Wildemuth, B. M. (Ed.). 2016. "Applications of social research methods to questions in information and library science." ABC-CLIO.

Willams, Slife. 2007. "Humanistic Inquiry in Marketing Research: Philosophy, Method, and Criteria." J store.