Analysis of rover system on productivity and return on investment in agriculture

Arumugam, Shurein (2022) Analysis of rover system on productivity and return on investment in agriculture. Project Report. Melaka, Malaysia, Universiti Teknikal Malaysia Melaka. (Submitted)

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Abstract

Agricultural sectors are now in the process of facing either an increase or decrease when it comes to the rate of productivity. By simply implementing the rover system can be beneficial in that it affects drastic change in productivity and return on investment. Productivity is a critical issue in the agriculture sector that must be addressed in order to increase key performance indicators such as production and efficiency. Despite the fact that the agricultural system exists in our country, it still has problems with production, which does not meet the expected output. The aim of this research is to identify the factors that affected productivity performance and return on investment. Hence, to apply the Define, Measure, Analyse, Improve, Control (DMAIC) concept in agricultural performance and to recommend a solution to the industry for productivity improvement and performance. There are few tools that are used in order to complete this study. In order to obtain the outcome for this initiative, data were gathered and problems were identified. Data processing can be divided into two categories which are primary data and secondary data. The methods utilised to identify the underlying causes were the Fishbone Diagram and the Why-Why Analysis. Furthermore, the implementation of six sigma tools was approached as the DMAIC method enabled the work to be more effectively completed. The findings of this data were then tabulated using the Why – Why Analysis to identify a root cause remedy. The operating model system provided an efficient way to understand the process of the agricultural system. Then, the application of the Maynard Operation Sequence Technique (MOST) approach was to evaluate the working time and work process of the sectors as the work measurement technique produced sequence model for the complete activity. As such, the changes in the work process brought a valuable change in productivity and benefits in return on investment in such a way. Aside from that, the agricultural sector were to be advised to engage in optimization and improvement activities from minimising or removing factors that affect productivity utilising the MOST methodology. All analysis and root cause identification must be performed before results can be obtained. It has been discovered that a particular error involving human error needs to be removed from the process in order to increase productivity. As a result, a few potential alterations are described and suggested in this study. One of the most effective ways to boost output and save expenses was to deploy a rover system. Robotic rovers save time and money over manual labour, according to the study. Robotic rovers' ROI is 18.45% higher than manual labour.

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