Research Article
Analysis of Maklon Service Raw Material Control Using EOQ (Economic Order Quality) Method Based on Big Logistic Data to Support Industry 4.0
@INPROCEEDINGS{10.4108/eai.17-7-2019.2302895, author={Dina Eka Shofiana and Moh Imsin}, title={Analysis of Maklon Service Raw Material Control Using EOQ (Economic Order Quality) Method Based on Big Logistic Data to Support Industry 4.0}, proceedings={Proceedings of the 1st International Conference on Science and Technology in Administration and Management Information, ICSTIAMI 2019, 17-18 July 2019, Jakarta, Indonesia}, publisher={EAI}, proceedings_a={ICSTIAMI}, year={2021}, month={1}, keywords={economic order quality (eoq) big data logistic}, doi={10.4108/eai.17-7-2019.2302895} }- Dina Eka Shofiana
Moh Imsin
Year: 2021
Analysis of Maklon Service Raw Material Control Using EOQ (Economic Order Quality) Method Based on Big Logistic Data to Support Industry 4.0
ICSTIAMI
EAI
DOI: 10.4108/eai.17-7-2019.2302895
Abstract
This study aims to determine the control of raw materials for maklon services using the EOQ (Economic Order Quality) method based on big data logistics at CV. Surya Kencana Food. Raw materials have the potential difference in the arrival (in Going), the use of raw materials on the production services JasaMaklon. Because in this Jasa maklon industry Raw material is the responsibility of Vendor which Jasa maklon does not charge Raw material. So it is important that the control of raw materials for the maklon service is done to correction each other, the raw materials used in the shipping services are sent from the vendor, the recipient does not know the type of raw materials to be used, because it is required big data in the classification of Raw Materials there is no mistake in distributing raw materials in Operational Production. This research uses descriptive qualitative approach.The results of this study indicate that using EOQ (Economic Order Quality) method on raw material maklon based on big data by using data base more efficient than conventional method or without using data, this is proved by the level of controlling of raw material of maklon service on the arrival of raw materials, usage and stock position position can be run and seen the accuracy of data from big data Logistics.
