Raw materials inventory analysis with Bayes-fishbone and safety stock in PT. XYZ

Abstract

Abstract Inventory control in a production process needs an optimal management to prevent production delay and be able to meet its recruitment. Its condition is affected by the quantity and time accuracy which hold impact of the production process. This study aimed to know whether the inventory in PT. XYZ, a detergent manufacturing company in Tangerang city, was in optimal condition and what are the affected elements using the Bayes-fishbone method. Bayes-fishbone method will show the biggest to the smallest causes of a problem through a visual representation. Later it’s discovered the biggest factor of stock out inventory is 33% by the returned goods material and misfit quantity, 25% by miscommunication with supplier, 17% by bad weather causes lateness, 15% by long lead time, and 10% by sluggish machines. Improvement attempt can be done by figuring out the safety stocks. By using the datas of inventory demands and fulfillments with 90% as the safety factor, the result for each safety stocks are 24 kgs for inventory 1310100000146000, 2.645 kgs for inventory with code 450200000115000, 512 kgs for 1410400000259000, inventory 1010200000454000 needs 18.999 kgs, 55 kgs for 1480200000456000, 1.352 kgs for 1460200000457000, and 587 kgs for inventory with code 1410100000465000.