Multi-Objective Optimization Model of Multi-Pass Turning Operations to Minimize Energy, Carbon Emissions, and Production Costs

Authors

  • Aprilia Dityarini Department Industrial Engineering, Universitas Sebelas Maret, Indonesia Jl. Ir Sutami No.36 A, Pucangsawit, Jebres, Surakarta, Jawa Tengah, Indonesia
  • Eko Pujiyanto Department Industrial Engineering, Universitas Sebelas Maret, Indonesia Jl. Ir Sutami No.36 A, Pucangsawit, Jebres, Surakarta, Jawa Tengah, Indonesia
  • I Wayan Suletra Department Industrial Engineering, Universitas Sebelas Maret, Indonesia Jl. Ir Sutami No.36 A, Pucangsawit, Jebres, Surakarta, Jawa Tengah, Indonesia

DOI:

https://doi.org/10.22219/JTIUMM.Vol21.No2.213-224

Keywords:

Goal Programing, Energy, Carbon Emissions, Production Sustainable Manufacturing

Abstract

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.

References

K. Madan Shankar, D. Kannan, and P. Udhaya Kumar, "Analyzing sustainable manufacturing practices – A case study in Indian context," Journal of Cleaner Production, vol. 164, pp. 1332-1343, 2017. https://doi.org/10.1016/j.jclepro.2017.05.097.

S. H. Abdul-Rashid, R. A. Raja Ghazilla, R. Thurasamy, and N. Sakundarini, "The impact of sustainable manufacturing practices on sustainability performance," International Journal of Operations & Production Management, vol. 37, pp. 182-204, 2017. https://doi.org/10.1108/IJOPM-04-2015-0223.

J. Bonvoisin, R. Stark, and G. Seliger, "Field of research in sustainable manufacturing," Sustainable Manufacturing, pp. 3-20, 2017. https://doi.org/10.1007/978-3-319-48514-0_1.

L. Smith and P. Ball, "Steps towards sustainable manufacturing through modelling material, energy and waste flows," International Journal of Production Economics, vol. 140, pp. 227-238, 2012. https://doi.org/10.1016/j.ijpe.2012.01.036.

N. Bhanot, P. V. Rao, and S. G. Deshmukh, "An integrated approach for analysing the enablers and barriers of sustainable manufacturing," Journal of Cleaner Production, vol. 142, pp. 4412-4439, 2017. https://doi.org/10.1016/j.jclepro.2016.11.123.

O. Manav, S. Chinchanikar, and M. Gadge, "Multi-performance optimization in hard turning of AISI 4340 Steel using Particle Swarm Optimization technique," in Materials Today: Proceedings, 2018, pp. 24652-24663. https://doi.org/10.1016/j.matpr.2018.10.263.

G. J. Pathiranagama and H. Namazi, "Fractal-Based Analysis Of The Effect Of Machining Parameters On Surface Finish Of Workpiece In Turning Operation," Fractals, vol. 27, p. 1950043, 2019. https://doi.org/10.1142/S0218348X19500439.

G. M. Krolczyk, P. Nieslony, R. W. Maruda, and S. Wojciechowski, "Dry cutting effect in turning of a duplex stainless steel as a key factor in clean production," Journal of Cleaner Production, vol. 142, pp. 3343-3354, 2017. https://doi.org/10.1016/j.jclepro.2016.10.136.

S. A. Bagaber and A. R. Yusoff, "Energy and cost integration for multi-objective optimisation in a sustainable turning process," Measurement, vol. 136, pp. 795-810, 2019. https://doi.org/10.1016/j.measurement.2018.12.096.

H. A. Hegab, B. Darras, and H. A. Kishawy, "Towards sustainability assessment of machining processes," Journal of Cleaner Production, vol. 170, pp. 694-703, 2018. https://doi.org/10.1016/j.jclepro.2017.09.197.

M. F. Ibrahim and M. M. Putri, "Integrated Green Supply Chain Model to Reduce Carbon Emission with Permissible Delay-in-Payment Consideration," Jurnal Teknik Industri, vol. 20, pp. 128-139, 2019. https://doi.org/10.22219/JTIUMM.Vol20.No2.128-139.

D. M. Utama, "An effective hybrid sine cosine algorithm to minimize carbon emission on flow-shop scheduling sequence dependent setup," Jurnal Teknik Industri, vol. 20, pp. 62-72, 2019. https://doi.org/10.22219/JTIUMM.Vol20.No1.62-72.

C. Li, Y. Tang, L. Cui, and Q. Yi, "Quantitative analysis of carbon emissions of CNC-based machining systems," in 2013 10th IEEE International Conference on Networking, Sensing and Control (ICNSC), 2013, pp. 869-874. https://doi.org/10.1109/ICNSC.2013.6548852.

L. Li, X. Deng, J. Zhao, F. Zhao, and J. W. Sutherland, "Multi-objective optimization of tool path considering efficiency, energy-saving and carbon-emission for free-form surface milling," Journal of Cleaner Production, vol. 172, pp. 3311-3322, 2018. https://doi.org/10.1016/j.jclepro.2017.07.219.

H. Zhang, Z. Deng, Y. Fu, L. Lv, and C. Yan, "A process parameters optimization method of multi-pass dry milling for high efficiency, low energy and low carbon emissions," Journal of Cleaner Production, vol. 148, pp. 174-184, 2017. https://doi.org/10.1016/j.jclepro.2017.01.077.

Q. Xiao, C. Li, Y. Tang, L. Li, and L. Li, "A knowledge-driven method of adaptively optimizing process parameters for energy efficient turning," Energy, vol. 166, pp. 142-156, 2019. https://doi.org/10.1016/j.energy.2018.09.191.

X. Chen, C. Li, Y. Jin, and L. Li, "Optimization of cutting parameters with a sustainable consideration of electrical energy and embodied energy of materials," The International Journal of Advanced Manufacturing Technology, vol. 96, pp. 775-788, 2018. https://doi.org/10.1007/s00170-018-1647-0.

R. Kumar, P. S. Bilga, and S. Singh, "Multi objective optimization using different methods of assigning weights to energy consumption responses, surface roughness and material removal rate during rough turning operation," Journal of Cleaner Production, vol. 164, pp. 45-57, 2017. https://doi.org/10.1016/j.jclepro.2017.06.077.

L. Hu, R. Tang, Y. Liu, Y. Cao, and A. Tiwari, "Optimising the machining time, deviation and energy consumption through a multi-objective feature sequencing approach," Energy Conversion and Management, vol. 160, pp. 126-140, 2018. https://doi.org/10.1016/j.enconman.2018.01.005.

W. Widhiarso and C. N. Rosyidi, "Multi objective optimization model for minimizing production cost and environmental impact in CNC turning process," AIP Conference Proceedings, vol. 1931, p. 030024, 2018. https://doi.org/10.1063/1.5024083.

M. C. Chen and D. M. Tsai, "A simulated annealing approach for optimization of multi-pass turning operations," International Journal of Production Research, vol. 34, pp. 2803-2825, 1996. https://doi.org/10.1080/00207549608905060.

C. Lu, L. Gao, X. Li, and P. Chen, "Energy-efficient multi-pass turning operation using multi-objective backtracking search algorithm," Journal of Cleaner Production, vol. 137, pp. 1516-1531, 2016. https://doi.org/10.1016/j.jclepro.2016.07.029.

A. T. Abbas, D. Y. Pimenov, I. N. Erdakov, M. A. Taha, M. M. El Rayes, and M. S. Soliman, "Artificial Intelligence Monitoring of Hardening Methods and Cutting Conditions and Their Effects on Surface Roughness, Performance, and Finish Turning Costs of Solid-State Recycled Aluminum Alloy 6061 Сhips," Metals, vol. 8, p. 394, 2018. https://doi.org/10.3390/met8060394.

M. Radovanović, "Multi-objective optimization of multi-pass turning AISI 1064 steel," The International Journal of Advanced Manufacturing Technology, vol. 100, pp. 87-100, 2019. https://doi.org/10.1007/s00170-018-2689-z.

R. T. Marler and J. S. Arora, "Survey of multi-objective optimization methods for engineering," Structural and Multidisciplinary Optimization, vol. 26, pp. 369-395, 2004. https://doi.org/10.1007/s00158-003-0368-6.

C. Colapinto, R. Jayaraman, and S. Marsiglio, "Multi-criteria decision analysis with goal programming in engineering, management and social sciences: a state-of-the art review," Annals of Operations Research, vol. 251, pp. 7-40, 2017. https://doi.org/10.1007/s10479-015-1829-1.

L. D. R. Beal, D. C. Hill, R. A. Martin, and J. D. Hedengren, "GEKKO Optimization Suite," Processes, vol. 6, 2018. https://doi.org/10.3390/pr6080106.

A. Wächter and L. T. Biegler, "On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming," Mathematical Programming, vol. 106, pp. 25-57, 2006. https://doi.org/10.1007/s10107-004-0559-y.

S. A. Putri, E. Pujiyanto, and J. Triyono, "Optimization of Electroplating Thickness Quality at Hip Joint Implant Using the Taguchi Method," Jurnal Teknik Industri, vol. 20, pp. 45-52, 2019. https://doi.org/10.22219/JTIUMM.Vol20.No1.45-52.

R. M. Sundaram, "An application of goal programming technique in metal cutting," International Journal of Production Research, vol. 16, pp. 375-382, 1978. https://doi.org/10.1080/00207547808930029.

Downloads

Published

2020-08-30

How to Cite

Dityarini, A., Pujiyanto, E., & Suletra, I. W. (2020). Multi-Objective Optimization Model of Multi-Pass Turning Operations to Minimize Energy, Carbon Emissions, and Production Costs. Jurnal Teknik Industri, 21(2), 213-224. https://doi.org/10.22219/JTIUMM.Vol21.No2.213-224

Issue

Section

Article