JIEMS (Journal of Industrial Engineering and Management Systems)

Inventory control is one of the most important factors in achieving optimal organizational performance. Material Requirement Planning (MRP) is a common method used by businesses to manage inventories. This study focuses on a hydraulic firm that has been in operation since 2016. This research examines the planning of eleven components to get the best planning for the company. This study contributes to the integration of Moving Average (MA) and Exponential Smoothing (ES) forecasting techniques alongside the MRP and three lot sizing techniques, such as LFL, EOQ, and LUC. The minimum error values between MA and ES are evaluated and followed by the comparison between three lot sizing techniques. The result shows that ES (α=0.1) is selected as the best forecasting technique, and LUC presents the lowest total inventory cost. However, LUC is only 0.05 percent lower than what LFL presents. A larger difference is shown by EOQ with 14.57 percent higher than LUC which makes EOQ unlikely to be selected.

Andry, J. F., Nurprihatin, F., & Liliana, L. (2023a). Developing a Decision Support System for Supply Chain Component. Management and Production Engineering Review, 14(2), 124–133. https://doi.org/10.24425/mper.2023.146029

Andry, J. F., Nurprihatin, F., & Liliana, L. (2023b). Supply Chain Disruptions Mitigation Plan Using Six Sigma Method for Sustainable Technology Infrastructure. Management and Production Engineering Review, 13(4), 88–97. https://doi.org/10.24425/mper.2022.142397

Chopra, S., & Meindl, P. (2016). Supply Chain Management: Strategy, Planning, and Operation (6th ed.). Pearson Education Limited.

Conceição, J., de Souza, J., Gimenez-Rossini, E., Risso, A., & Beluco, A. (2021). Implementation of Inventory Management in a Footwear Industry. Journal of Industrial Engineering and Management, 14(2), 360–375. https://doi.org/10.3926/jiem.3223

Nurprihatin, F., Elnathan, R., Rumawan, R. E., & Regina, T. (2019). A Distribution Strategy Using a Two-step Optimization to Maximize Blood Services Considering Stochastic Travel Times. IOP Conference Series: Materials Science and Engineering, 650(1). https://doi.org/10.1088/1757-899X/650/1/012043

Nurprihatin, F., Gotami, M., & Rembulan, G. D. (2021). Improving the Performance of Planning and Controlling Raw Material Inventory in Food Industry. International Journal of Research in Industrial Engineering, 10(4), 332–345. https://doi.org/10.22105/riej.2021.306872.1250

Nurprihatin, F., Jayadi, E. L., & Tannady, H. (2020). Comparing Heuristic Methods’ Performance for Pure Flow Shop Scheduling Under Certain and Uncertain Demand. Management and Production Engineering Review, 11(2), 50–61. https://doi.org/10.24425/mper.2020.133728

Nurprihatin, F., & Lestari, A. (2020). Waste Collection Vehicle Routing Problem Model with Multiple Trips, Time Windows, Split Delivery, Heterogeneous Fleet and Intermediate Facility. Engineering Journal, 24(5). https://doi.org/10.4186/ej.2020.24.5.55

Nurprihatin, F., & Montororing, Y. D. R. (2021). Improving Vehicle Routing Decision for Subsidized Rice Distribution Using Linear Programming Considering Stochastic Travel Times. Journal of Physics: Conference Series, 1811(1). https://doi.org/10.1088/1742-6596/1811/1/012007

Nurprihatin, F., Octa, A., Regina, T., Wijaya, T., Luin, J., & Tannady, H. (2019). The Extension Analysis of Natural Gas Network Location-routing Design Through the Feasibility Study. Journal of Applied Research on Industrial Engineering, 6(2), 108–124. https://doi.org/10.22105/jarie.2019.174164.1082

Nurprihatin, F., Regina, T., & Rembulan, G. D. (2021). Optimizing Rice Distribution Routes in Indonesia Using a Two-step Linear Programming Considering Logistics Costs. Journal of Physics: Conference Series, 1811(1). https://doi.org/10.1088/1742-6596/1811/1/012010

Nurprihatin, F., Rembulan, G. D., & Pratama, Y. D. (2022). Comparing Probabilistic Economic Order Quantity and Periodic Order Quantity Model Performance Under Lumpy Demand Environment. Management and Production Engineering Review, 13(4), 16–25. https://doi.org/10.24425/mper.2022.142391

Nurprihatin, F., & Tannady, H. (2018). An Integrated Transportation Models and Savings Algorithm to Minimize Distribution Costs. Proceeding of the 1st Asia Pacific Conference on Research in Industrial and Systems Engineering, 216–221.

Rembulan, G., Nurprihatin, F., & Kristardi, F. (2022). An Integrated Model of Continuous Review Inventory and Vehicle Routing Problem with Time Windows. Acta Infologica, 6(2), 209–218. https://doi.org/10.26650/acin.1104460

Tannady, H., Gunawan, E., Nurprihatin, F., & Wilujeng, F. R. (2019). Process Improvement to Reduce Waste in the Biggest Instant Noodle Manufacturing Company. Journal of Applied Engineering Science, 17(2), 203–212. https://doi.org/10.5937/jaes17-18951

Thazin, M. P., & Sakulbumrungsil, R. (2022). Analysis of Pharmaceutical Inventory Management in a State Hospital in Myanmar. Thai Journal of Pharmaceutical Sciences, 46(2), 203–207.

Thevenin, S., Adulyasak, Y., & Cordeau, J.-F. (2021). Material Requirements Planning Under Demand Uncertainty Using Stochastic Optimization. Production and Operations Management, 30(2), 475–493. https://doi.org/10.1111/poms.13277

Yao, M. J., Lin, J. Y., Lee, C., & Wang, P. H. (2020). Optimal Replenishment and Inventory Financing Strategy in a Three-echelon Supply Chain Under the Variable Demand and Default Risk. Journal of the Operational Research Society, 72(10), 2196–2210. https://doi.org/10.1080/01605682.2020.1776165