Energy-aware production scheduling of continuous slurry ball mills in tile industries with stirring time consideration

Document Type : IIIEC 2021

Authors

1 Department of Industrial Engineering, Yazd University, Yazd, Iran

2 Department of Industrial Engineering, Ferdowsi University of Mashhad, Mashhad, Iran

Abstract

In this paper, a bi-objective mixed-integer model for energy-aware production scheduling of continuous slurry ball mills is proposed. Slurry ball mills are considered as the main consumer of electrical energy and impose high energy costs on tile factories. Hence, minimizing the energy costs associated with slurry production through implementation of peak-load minimization strategy and optimal assignment of orders to ball mills is the main goal which is considered in this study. On the other hand, the quality of slurry has a significant effect on the quality of produced tiles. An increase in time which slurry has left in rotating slip tanks, i.e. stirring time, helps improve its quality. Thus, the second goal which is pursued in this scheduling is compliance with the stirring time standards. The effectiveness of the proposed model is illustrated on a small-scale case study with a saving of above 15% in energy costs.

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References

Abbasi Hafshejani, N., Lotfi, M. M., Honarvar, M. (2017). A Hierarchical Approach for Lot-sizing and Production Scheduling of Complementary Product Packages, Journal of Advances in Industrial Engineering, Volume 51(2), 207-222.
Ciacco, E. F., Rocha, J. R., & Coutinho, A. R. (2017). The energy consumption in the ceramic tile industry in Brazil. Applied Thermal Engineering, 113, 1283-1289.
Davoli, G., Gallo, S. A., Collins, M. W., & Melloni, R. (2010). A stochastic simulation approach for production scheduling and investment planning in the tile industry. International Journal of Engineering, Science and Technology, 2(9).
Deghatian, M. (2014). Optimization of production program simulation using genetic algorithm (Case study: Goldis Tile Company), Master Thesis, Yazd University.
Duarte, B. P., Santos, L. O., & Mariano, J. S. (2009). Optimal sizing, scheduling and shift policy of the grinding section of a ceramic tile plant. Computers & Operations Research, 36(6), 1825-1834.
Gahm, C., Denz, F., Dirr, M. and Tuma, A., 2016. Energy-efficient scheduling in manufacturing companies: a review and research framework. European Journal of Operational Research, 248(3), 744-757.
Liu, G. S., Zhou, Y., & Yang, H. D. (2017). Minimizing energy consumption and tardiness penalty for fuzzy flow shop scheduling with state-dependent setup time. Journal of cleaner production, 147, 470-484.
Ma, Y., Chu, C., & Zuo, C. (2010). A survey of scheduling with deterministic machine availability constraints. Computers & Industrial Engineering, 58(2), 199-211.
Mirghafoori, H. (1998). Designing a mathematical model for production planning in tile industry, Master Thesis, Tarbiat Modares University.
Monfort, E., Mezquita, A., Granel, R., Vaquer, E., Escrig, A., Miralles, A., & Zaera, V. (2010). Analysis of energy consumption and carbon dioxide emissions in ceramic tile manufacture. Boletin De La Sociedad Espanola De Ceramica Y Vidrio, 49(4), 303-310.
Mouzon, G., Yildirim, M. B., & Twomey, J. (2007). Operational methods for minimization of energy consumption of manufacturing equipment. International Journal of production research, 45(18-19), 4247-4271.
Rager, M., Gahm, C., & Denz, F. (2015). Energy-oriented scheduling based on evolutionary algorithms. Computers & Operations Research, 54, 218-231.
Ramezanian, R., Sanami, S. F., & Nikabadi, M. S. (2017). A simultaneous planning of production and scheduling operations in flexible flow shops: case study of tile industry. The International Journal of Advanced Manufacturing Technology, 88(9-12), 2389-2403.
Ros-Dosdá, T., Fullana-i-Palmer, P., Mezquita, A., Masoni, P., & Monfort, E. (2018). How can the European ceramic tile industry meet the EU's low-carbon targets? A life cycle perspective. Journal of Cleaner Production, 199, 554-564.
Ruiz, R., & Maroto, C. (2002). Flexible manufacturing in the ceramic tile industry. In Eight International Workshop on Project Management and Scheduling, PMS 2002. (pp. 301-304).
Tabucanon, M., & Kongrit, A. (1991). Hierarchical approach to production planning and scheduling: the case of a mosaic tile plant. In Modern Production Concepts (pp. 114-145). Springer, Berlin, Heidelberg.
Ye, L., Hong, J., Ma, X., Qi, C., & Yang, D. (2018). Life cycle environmental and economic assessment of ceramic tile production: A case study in China. Journal of Cleaner Production, 189, 432-441.
Zeng, C., Tang, J., Fan, Z., & Yan, C. (2019). Auction-based approach for a flexible job-shop scheduling problem with multiple process plans. Engineering Optimization, 1-18.

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History

  • Receive Date: 06 February 2021
  • Revise Date: 01 May 2021
  • Accept Date: 26 July 2021

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