การประยุกต์ใช้การจำลองด้วยระบบคอมพิวเตอร์สำหรับการปรับปรุงกระบวนการหยิบบรรจุภัณฑ์ กรณีศึกษา คลังจัดเก็บบรรจุภัณฑ์ โรงงานผลิตอาหารทะเลกระป๋อง

Abstract

The aim of this research is to apply computer simulation to evaluate factors and propose improvements for the package picking process. Case study package warehouse in canned seafood factory. Through theory and research, researchers started to investigate the constituent factors affecting picking processes, namely the number of lines per order, storage factor, picking path and picking method Factors In the case study, the following factors have a significant effect on the total amount of time spent picking the package. The conditions are then used by the researcher to build an experiment that provides improvement alternatives. It also used factors from the researcher's study paper who did an experiment that changed the existing collecting position to the warehouse's center location. and the picking process evaluates the shortest overall distance between each storage space using a metaheuristic. It includes a hill-climbing algorithm and a simulated annealing process to minimize total distance traveled. This is due to the fact that travel time is directly proportional to distance traveled. The results indicate that the number of items picked grows as the volume of items to be picked increases for every feasible combination of factors. There's a straightforward consensus that the total picking time all the packages has also increased. And class-based storage conditions, applying the hill climbing picking sequence, locating the collection point in the center of the warehouse (the midpoint), and using the by-order picking method, compared to the current average total time spent picking packages. The average time may be decreased from 33.28 minutes per leaf to 6.73 minutes per leaf, a drop of 26.55 minutes per leaf or 79.78%.