Open AccessModeling of the production size using Fuzzy-Mamdani Logic to support green engineering: A zinc sheets industrial case study
Author(s) -
Saiful Mangngenre,
Subhanuel Bahri,
Farid Mardin,
Ridha Hanafi,
Sapta Asmal,
M. F. Fasra
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/343/1/012009
Subject(s) - production (economics) , fuzzy logic , production planning , supply chain , variable (mathematics) , material requirements planning , product (mathematics) , computer science , operations research , industrial engineering , production manager , product type , manufacturing engineering , engineering , mathematics , business , economics , artificial intelligence , marketing , microeconomics , mathematical analysis , programming language , geometry
Production planning is a tactical scheme in the supply chain management of product that aims to provide optimal solutions based on the inventory stock of the company in terms of fulfilling the production demand. The variable of demand, supply, and production amount is used in this research as an input to determine the production by the implementation of Fuzzy-Mamdani Logic (FML). This research aims to obtain the optimal production and supply planning for several periods, which later comparing the total cost through the Fuzzy-Mamdani Logic implementation with the method used by the company. The objects for this research are the 7’ and 10’ big-corrugation types of zinc sheets manufactured by PT Y, which is the highest demand product of the company. The result shows that the implementation of FML outlined as an appropriate solution for the decision making to determine the production amount. The amount production itself for the 7’ and 10’ big-corrugation type of zinc sheets during June 2017 - May 2018 were 663,700 and 640,400 quantities for each model, while production in June 2017 was only 18,100 and 32,800 quantities.