Determining the Optimal Ordering Period for Multiple Products A Case Study of Waranya Shop

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ศักดิ์ดา คำจันทร์
ขัตติยา ภาวงค์
วิเรขา คำจันทร์

Abstract

This research aims to determine the optimal ordering period for multiple products. There are three policies: individual ordering policy, joint ordering policy, and mixed ordering policy. The study of the current system found the lowest average operation cost of 16,521.01 baht per day. The most optimal policy research results are individual ordering policy has the lowest average operation cost of 15,321.18 baht per day. This reduces expenses by 1,199.83 baht per day or 7.26 percent.

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How to Cite
1.
คำจันทร์ ศ, ภาวงค์ ข, คำจันทร์ ว. Determining the Optimal Ordering Period for Multiple Products A Case Study of Waranya Shop. J. Techno. Eng. Prog. [internet]. 2023 Dec. 26 [cited 2025 Dec. 28];1(1):70-7. available from: https://ph03.tci-thaijo.org/index.php/JTEP/article/view/1023
Section
Research article

References

T. Thongkorn and L. Tullayaluck, “Improved Efficiency for Inventory Management: A Case Study of Water Tank Production Company.” B.Eng .Thesis, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand, 2019.

M. Siangwong, S. Phetlai, N. Phookpanich and D. Thavorn, “Inventory management improvement: A case study Don-Zak construction materials shop,” Interdisciplinary Studies Journal, Faculty of Social Sciences and Humanities, Mahidol University, Vol. 22(1), 2018, pp.50 – 82.

S. Niemsakul, “Improved efficiency for inventory management: a case study of drinking water production company,” Interdisciplinary Sripathum Chonburi Journal, Vol. 4(2), 2018, pp. 1–14.

N. Sakulpradit, “Inventory management for producing and distributing factory of frozen products,” M.Eng .thesis, Thammasat University Bangkok, Thailand, 2018.

T. Suwannahong, “Inventory management to reduce emergency shipments: a case study of lens manufacturer,” M.Eng .thesis, Thammasat University, Bangkok, Thailand, 2017.

J.H. Rios and J.R. Vera, “Dynamic pricing and inventory control for multiple products in a retail chain,” Computers & Industrial Engineering, Vol. 177, 2023, 109065.

R. Kleber, S. Minner and G. Kiesmüller, “A continuous time inventory model for a product recovery system with multiple options,” International Journal of Production Economics, Vol.79(2), 2002, pp. 121-141.

C. Haksever and J. Moussourakis, “A model for optimizing multi-product inventory systems with multiple constraints,” International Journal of Production Economics, Vol. 97(1), 2005, pp. 18-30.

Y-J Hsieh, “Demand switching criteria for multiple products: An inventory cost analysis,” Omega, Vol. 39(2), 2011, pp. 130-137.

H. Shavandi, H. Mahlooji and N.E. Nosratian, “A constrained multi-product pricing and inventory control problem,” Applied Soft Computing, Vol. 12(8), 2012, pp. 2454-2461.