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Reducing scrap due to missed operations and machining defects in 90PS pistons

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Abstract

Rejection analysis deals with the inspection of the quality of products and efficiency of the plant which are very important in the manufacturing process. It offers practical solutions to problems that arise during the piston manufacturing process. In this paper, a hybrid decision-making and quality control technique was applied to minimize the rejection rate of 90PS pistons. An observational technique was used to achieve the particular target involves the nature of the defect, a check sheet to gather data on the number of defects that occurred over the past three months, a Pareto chart was used to identify the main defect percentage, and a cause-and-effect diagram was used to find the causes. Results show that various defects were mitigated. As a result, the operation missing scrap in the manufacturing line was reduced from 1.52 to 0.50%, skirt size scrap from 0.64 to 0.20%, transportation scrap from 1.50 to 0.50%, and pinhole/compression height scrap from 2.33 to 1.00%. The results of this study helped improve the efficiency of the plant by minimizing the cost.

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References

  1. Sansone, C., Hilletofth, P., Eriksson, D.: Critical operations capabilities in a high cost environment: a multiple case study. IOP Conf. Ser. Mater. Sci. Eng. (2018). https://doi.org/10.1088/1757-899X/337/1/012065

    Article  Google Scholar 

  2. Carvalho, N., Chaim, O., Cazarini, E., Gerolamo, M.: Manufacturing in the fourth industrial revolution: a positive prospect in sustainable manufacturing. Procedia Manuf. 21, 671–678 (2018). https://doi.org/10.1016/j.promfg.2018.02.170

    Article  Google Scholar 

  3. Shivajee, V., Singh, R.K., Rastogi, S.: Manufacturing conversion cost reduction using quality control tools and digitization of real-time data. J. Clean. Prod. (2019). https://doi.org/10.1016/j.jclepro.2019.117678

    Article  Google Scholar 

  4. El-Labban, H.F., Abdelaziz, M., Mahmoud, E.R.I.: Preparation and characterization of squeeze cast-Al–Si piston alloy reinforced by Ni and nano-Al2O3 particles. J. King Saud Univ.–Eng. Sci. 28, 230–239 (2016). https://doi.org/10.1016/j.jksues.2014.04.002.

  5. Singh, K., Tiwari, A.N.: Defects reduction using root cause analysis approach in gloves manufacturing unit. Int. Res. J. Eng. Technol. 3, 173–183 (2016)

    Google Scholar 

  6. Gupta, S., Chandna, P.: A case study concerning the 5S lean technique in a scientific equipment manufacturing company. Grey Syst. Theory Appl. 10, 339–357 (2020). https://doi.org/10.1108/gs-01-2020-0004

    Article  Google Scholar 

  7. Jha, M., Tyagi, R.K., Gupta, G.: Reduction of rejected components in an automobile assembly line using quality tools. Eur. J. Appl. Eng. Sci. Res. 2, 13–17 (2013)

    Google Scholar 

  8. Dhileephen, B., Aravindan, M.: Rejection analysis in fuel equipment. Int. Res. J. Eng. Technol. 7, 2083–2088 (2020)

    Google Scholar 

  9. Akhter, M.: Optimization of apparel industry through industrial engineering concepts in Bangladesh. Int. J. Sci. Eng. Res. 11, 17–37 (2020)

    Google Scholar 

  10. Thakur, P., Kumar, R., Kumar, S., Pathania, A., Goel, B.: Analysis and optimization of properties of paint materials for reduction of paint defects in agro products. Mater. Today Proc. 45, 5617–5623 (2021). https://doi.org/10.1016/j.matpr.2021.02.349

    Article  Google Scholar 

  11. Yogi Sari, O.: Quality control analysis using statistical procces control (SPC) to reduce product defects in Roastery X. Turkish J. Comput. Math. Educ. 12, 1555–1562 (2021)

    Google Scholar 

  12. Makwana, A.D., Patange, G.S.: Strategic implementation of 5S and its effect on productivity of plastic machinery manufacturing company. Aust. J. Mech. Eng. 00, 1–10 (2019). https://doi.org/10.1080/14484846.2019.1676112

    Article  Google Scholar 

  13. Ishikawa, K.: Guide to quality control., Tokyo, Japan (1968).

  14. Ishikawa, K.: Guide to quality control. (1976).

  15. Suresh, S., Moe, A.L., Abu, A.B.: Defects reduction in manufacturing of automobile piston ring using six sigma. J. Ind. Intell. Inf. 3, 32–38 (2014). https://doi.org/10.12720/jiii.3.1.32-38

    Article  Google Scholar 

  16. Sahoo, N.K.: Efficiency improvement by reducing rework and rejection on the shop floor. Int. J. Eng. Res. V9, 1185–1191 (2020). https://doi.org/10.17577/ijertv9is060857.

  17. Ashwini, A., Avinash, K.S.: Rejection analysis in piston manufacturing. Int. J. Innov. Res. Sci. Eng. Technol. 4, 1157–1163 (2015). https://doi.org/10.15680/IJIRSET.2015.0403072

    Article  Google Scholar 

  18. Zheng Yang, K., Pramanik, A., Basak, A.K., Dong, Y., Prakash, C., Shankar, S., Dixit, S., Kumar, K., IvanovichVatin, N.: Application of coolants during tool-based machining–a review. Ain Shams Eng. J. (2022). https://doi.org/10.1016/j.asej.2022.101830

    Article  Google Scholar 

  19. Navinesh, B.C., Somasundar, B., Aparna, B.N., Pramod, S.N.: Reducing the rejection rate of pistons during machining. Int. J. Mech. Eng. Technol. 8, 237–243 (2017)

    Google Scholar 

  20. Liang, J.: Method of forming piston pin holes and boring system therefor, (2015).

  21. Tiwari, A.K., Kumar, A., Kumar, N., Prakash, C.: Investigation on micro-residual stress distribution near hole using nanoindentation: effect of drilling speed. Meas. Control. 52, 1252–1263 (2019). https://doi.org/10.1177/0020294019858107

    Article  Google Scholar 

  22. Pradhan, S., Singh, S., Prakash, C., Królczyk, G., Pramanik, A., Pruncu, C.I.: Investigation of machining characteristics of hard-to machine Ti-6Al-4V-ELI alloy for biomedical applications. J. Mater. Res. Technol. 8, 4849–4862 (2019). https://doi.org/10.1016/j.jmrt.2019.08.033

    Article  Google Scholar 

  23. Pramanik, A., Basak, A.K., Littlefair, G., Debnath, S., Prakash, C., Singh, M.A., Marla, D., Singh, R.K.: Methods and variables in Electrical discharge machining of titanium alloy–a review. Heliyon 6, e05554 (2020). https://doi.org/10.1016/j.heliyon.2020.e05554

    Article  Google Scholar 

  24. Nguyen, D.N., Chau, N.L., Dao, T.P., Prakash, C., Singh, S.: Experimental study on polishing process of cylindrical roller bearings. Meas. Control. 52, 1272–1281 (2019). https://doi.org/10.1177/0020294019864395

    Article  Google Scholar 

  25. Kamran, S.S., Haleem, A., Bahl, S., Javaid, M., Prakash, C., Budhhi, D.: Artificial intelligence and advanced materials in automotive industry: potential applications and perspectives. Mater. Today Proc. 62, 4207–4214 (2022). https://doi.org/10.1016/j.matpr.2022.04.727

    Article  Google Scholar 

  26. Prakash, C., Singh, S., Basak, A., Davim, J.P.: Numerical modelling and optimization in advanced manufacturing processes. Springer Cham, Cham, Switzerland (2022). https://doi.org/10.1007/978-3-031-04301-7.

  27. Prakash, C., Singh, S., Davim, J.P.: Characterization, testing, measurement, and metrology. Taylor and Francis Inc. CRC Press, Florida (2021)

    Google Scholar 

  28. Prakash, C., Singh, S., Davim, J.P.: Books on google play advanced manufacturing and processing technology. Taylor and Francis Inc, CRC Press (2020)

    Book  Google Scholar 

  29. Usca, Ü.A., Uzun, M., Şap, S., Giasin, K., Pimenov, D.Y., Prakash, C.: Determination of machinability metrics of AISI 5140 steel for gear manufacturing using different cooling/lubrication conditions. J. Mater. Res. Technol. (2022). https://doi.org/10.1016/j.jmrt.2022.09.067

    Article  Google Scholar 

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Correspondence to Jashanpreet Singh.

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Singh, J., Singh, R., Singh, S. et al. Reducing scrap due to missed operations and machining defects in 90PS pistons. Int J Interact Des Manuf 17, 2527–2539 (2023). https://doi.org/10.1007/s12008-022-01071-0

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  • DOI: https://doi.org/10.1007/s12008-022-01071-0

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