Production Strategy to Anticipate Peak Demand to Achieve Maximum Profits

Authors

  • Dadang Arifin, Zaenal Muttaqien, Rinto Yusriski, Ragil Pardiyono

Keywords:

Daily production, inventory, lost sale, subcontract, profit.

Abstract

This paper contains an alternative daily production plan strategy to anticipate peak demand on online national shopping day. There are four alternative strategies presented in this paper, the first is the level strategy, chase strategy, mix strategy and adjusted mix strategy as a result of the author's development. The criteria used are profits that can be achieved for 2 weeks. The analysis was carried out for a period of two weeks (a week before and after) the peak day. The company that is the object of this problem is a garment company in the city of Bandung with the trademark 'Sipolos'. The costs involved in this analysis are only some of the costs recommended by the company, namely costs associated with increasing production that are feasible to apply and costs for losses due to shortages (lost sales). Of the four strategies simulated, the adjusted mix strategy developed by the author provides the best solution, providing greater profits than other strategies of more than 20%.

References

FASHION INDUSTRY TRENDS IN INDONESIA, BinusUniversity, https://binus.ac.id/bandung/2019/12/trend-industri-fesyen-di-indonesia/

Ren, S., Chan, H. L., & Siqin, T. (2020). Demand forecasting in retail operations for fashionable products: methods, practices, and real case study. Annals of Operations Research, 291, 761-777.

Giri, C., & Chen, Y. (2022). Deep learning for demand forecasting in the fashion and apparel retail industry. Forecasting, 4(2), 565-581.

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Published

2025-01-05

How to Cite

Dadang Arifin, Zaenal Muttaqien, Rinto Yusriski, Ragil Pardiyono. (2025). Production Strategy to Anticipate Peak Demand to Achieve Maximum Profits . Journal of Computational Analysis and Applications (JoCAAA), 34(1), 93–104. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/1696

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