Open AccessMulti-Objective Optimization Model of Multi-Pass Turning Operations to Minimize Energy, Carbon Emissions, and Production Costs
Author(s) -
Aprilia Dityarini,
Eko Pujiyanto,
I Wayan Suletra
Publication year - 2020
Publication title -
jurnal teknik industri
Language(s) - English
Resource type - Journals
eISSN - 2527-4112
pISSN - 1978-1431
DOI - 10.22219/jtiumm.vol21.no2.213-224
Subject(s) - mathematical optimization , machining , production (economics) , process (computing) , energy (signal processing) , optimization problem , point (geometry) , computer science , engineering , mechanical engineering , mathematics , economics , statistics , geometry , macroeconomics , operating system
Sustainable manufacturing aspects are environmental, economic, and social. These aspects can be applied to an optimization model in the machining process. An optimization model is needed to determine the optimum cutting parameters. This research develops a multi-objective optimization model that can optimize cutting parameters on a multi-pass turning. Decision variables are cutting parameters multi-pass turning. This research has three objective functions for minimizing energy, carbon emissions, and costs. Three functions are searched for optimal values using the GEKKO. A numerical example is given to show the implementation of the model and solved using GEKKO and Interior Point Optimizer (IPOPT). The results of optimization indicate that the model can be used to optimize the cutting parameters.