Data processing is done with the help of an Eviews computer program to determine a good ARIMA model, from processing data obtained by ARIMA (1.0,0). So that the production becomes optimal and not excessive which can cause waste of raw materials, which will make production costs a lot. The purpose of this research is to get a good ARIMA model, used to forecast production in the company. ARIMA is very good for short-term forecasting, while for long-term forecasting the forecasting accuracy is not good. ARIMA is often also called the Box-Jenkins time series method. So from that this study uses the forecasting method Autoregressive Integreted Moving Average (ARIMA). XYZ is a food company that produces chicken meatballs and chicken dumplings. In production planning and control the first step is to forecast to determine how much production, the company forecasting is still not optimal, because forecasting has an important role in a company.
risk management, procurement, ISO 31000, Delphi Method, ULP Bontang food security, oneway, supply chain, food, characteristics inventory control planning, forecasting, EOQ produktivitas, Metode From to Chart (FTC), layout. Marketing Strategy, SWOT Analysis, AHP Peningkatan produktivitas, olahan tahu, value engineering Perishable Product, Production Planning, Raw Material Inventory, Newsboy Model, EOQ Produktivitas, Objective Matrix (OMAX)dan Root Cause Analyze (RCA) Statistik Quality Control (SQC), Human Reliability Assessment (HRA) Supply Chain, Halal, Integrity, Traceability Syntesis, Flexible Polyurretan foam, Polyol, oleic acid, compressive strength, Statistical Process Control, Taguchi Methods.
Flexible Flowshop, LPT, Branch And Bound, Makespan Keywords: productivity measurement, productivity evaluation, productivity planning dan productivity improvement Manual Material Handling, Muskuloskelatal Disorder, Nordic body map,Recomended Weight Limit, Lifting Index. Failure Mode and Effect Analysys (FMEA), Failure Tree Analisys (FTA), Product Defect, Product Quality. Keywords Autoregressive Integreted Moving Average (ARIMA), forecasting, production Data Envelopment Analysis, customer satisfaction, efficiency Design thinking, Hospitality industry, Value co-creation, Value proposition Double Exponential Smoothing, Holt Winters Additive Algorithm, Safety Stock, Lot Sizing, Reorder Point.