การใช้แบบจำลองทางคณิตศาสตร์สำหรับการมอบหมายงานให้รถบรรทุกวัสดุผง

Abstract

The aim of this research is to solve the problem of powder material carrying truck assignments of case study company. The main issue with this work is the disparity in average allowances per week of employee. Moreover, each truck has a different workload assigned to it. This may result in employees having high workloads fatigue and can lead to accidents. In order to achieve the most appropriate and effective assignment which consider the distance of powder material transportation per day, truck capacity, a time period using to transport in each order, and working hour conditions. To solve the problem, we generate mathematical model and find solution by comparing the truck scheduling between the pre-existing software "What’s Best Excel", the standard deviation decreased by 12%, resulting in a 12% improvement in allowances, albeit with a computation time of approximately 797,760 seconds or around 9 days. To achieve a balanced workload allocation and programming using Python, which took approximately 1 second to obtain results, but with a higher standard deviation impacting a 13% reduction in meal allowances for employees' balance.