Comparison of Inventory Control with P and Q Model for Ppe At Power Plant Industry (Case Study: Pt. Pjb Ubjom Pltu Indramayu)

Authors

  • Ario Sakanurizal Department of Industrial Engineering, Faculty of Engineering, Widyatama University Bandung, Indonesia Author
  • Kustiansyah Reza Ramdhani Department of Industrial Engineering, Faculty of Engineering, Widyatama University Bandung, Indonesia Author
  • Feby Sukmawati Department of Industrial Engineering, Faculty of Engineering, Widyatama University Bandung, Indonesia Author
  • Indri Nugraha Department of Industrial Engineering, Faculty of Engineering, Widyatama University Bandung, Indonesia Author
  • Arief Rahmana Department of Industrial Engineering, Faculty of Engineering, Widyatama University Bandung, Indonesia Author

DOI:

https://doi.org/10.61841/cs00ps55

Keywords:

Inventory System, P Models Policy, Q Model Policy

Abstract

The success of inventory management can be seen from the suitability of the available material and the material used. Research carried out in the power plant company about inventory management of personal protective equipment in the form of masks and gloves. Fluctuating material demand causes overstock and stockout so that operator and maintenance work is constrained. The purpose of this study is to obtain an optimal inventory system policy. Optimal inventory is able to meet user needs and low inventory costs. The method used in this research is P models policy and Q models policy because of the probabilistic demand characteristics. the Q model policy is able to provide greater cost savings than the P model policy. The total savings using the P model policy is Rp. 4,219,970, - and the Q model is Rp. 5,099,733, -.

 

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References

[1] I. I. Adamu, "Reorder Quantities for (Q, R) Inventory Models," International Mathematical Forum, vol. 12, pp.

-514, 2017.

[2] S. Setyaningsih and M. H. Basri, Comparison Continuous and Periodic Review Policy Inventory Management

tem Formula and Enteral Food Supply in Public Hospital, Bandung: International Journal of Innovation, nagement and Technology 4 2, 2013.

[3] R. Ekawati, E. Febianti and G. S. Wijaya, "Planning and Controlling Inventory of Coal Using Model Probabilistic ackorder With Consider of Storage Capacity," JOURNAL OF ENGINEERING AND MANAGEMENT IN

USTRIAL SYSTEM, vol. 6, pp. 20-26, 2018.

[4] E. Rimawan, D. S. Suroso and P. E. Rohmah, "Analysis of Inventory Control with Material Requirement Planning

RP) Method on IT180-55gsm F4 Paper Product at PT.IKPP, TBK," International Journal of Innovative Science Research Technology , p. 4, 2018.

[5] a. E. G. I Rizkya, K Syahputri, R M Sari, Anizar, I Siregar, "Comparison Of Periodic Review Policy and

ntinuous Review Policy for the Automotive Industry Inventory System," Department of Industrial Engineering, versitas Sumatera Utara, p. 3, 2018.

[6] E. F. S. w. Ratna, Evi, Ganis, "planning and controlling inventory of coal using model probabilistic Q backorder h consider of storage capacity," Department of Industrial Engineering University of Sultan Agung Tirtayasa, p. 2,

8.

[7] S. N. Bahagia, Sistem Inventori, Bandung: Penerbit ITB, 2006.

[8] S. B. P. Kanokwan, Jirachai, Parthana, "Optimal Cycle Service Level for Continuous Stocked Items with Limited

rage Capacity," School of Manufacturing System and Mechanical Engineering, Sirindhorn International Institute echnology, Thammasat University, p. 2, 2017.

[9] A. L. Tiena Gustina, Dinar Suryo, "Backorder And Lost Sales Continuous Review Raw Material Inventory ntrol system With Lead Time And Ordering Cost Reduction," Department Industrial Engineering, Trisakti

versity, pp. 2-5, 2012.

[10] I. Rizkya, K. Syahputri, R. M. Sari, A. I. Siregar and E. Ginting, "Comparation of Periodic Review Policy and

ntinous Review Policy for the Automotive Industry Inventory System," IOP Publish, pp. 1-6, 2018.

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Published

30.09.2020

How to Cite

Sakanurizal, A., Ramdhani, K. R., Sukmawati, F., Nugraha, I., & Rahmana, A. (2020). Comparison of Inventory Control with P and Q Model for Ppe At Power Plant Industry (Case Study: Pt. Pjb Ubjom Pltu Indramayu). International Journal of Psychosocial Rehabilitation, 24(7), 2774-2781. https://doi.org/10.61841/cs00ps55