A Three-Phased Perishable Inventory Simulation Model with Quality Decrease Consideration
Muhammad Faisal Ibrahim (1a),
Yunita Siti Mardhiyyah (2b),
Ahmad Rusdiansyah (3c),
Meidina Kalse Boer (3d),
Dana Marsetiya Utama (4e)
(1) Department of Logistics Engineering, Universitas Internasional Semen Indonesia, Kompleks PT. Semen Indonesia (Persero) Tbk, Jl. Veteran, Kebomas, Gresik,
Jawa Timur 61122
(2) Department of Agroindustrial Technology, Universitas Internasional Semen Indonesia, Kompleks PT. Semen Indonesia (Persero) Tbk, Jl. Veteran, Kebomas, Gresik,
Jawa Timur 61122
(3) Department of Industrial Engineering, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo, Surabaya, Jawa Timur 60111
(4) Department of Industrial Engineering, Universitas Muhammadiyah Malang, Jl.Raya Tlogomas No. 246, Tlogomas, Kota Malang, Jawa Timur 65144
(a) email: muhammad.ibrahim@uisi.ac.id
(b) email: yunita.mardhiyyah@uisi.ac.id
(c) email: arusdian@ie.its.ac.id
(d) email: kalseboer@gmail.com
(e) email: dana@umm.ac.id
Abstract
This article focuses on simulating a three-phase perishable product inventory system of SMEs selling fresh and processed milkfish. This research was conducted to simulate a perishable product inventory system to understand and analyze the problems that occur then propose solutions to fix them. The simulation model was developed with ARENA software. The existing condition's simulation results show that there is 162 kg/month waste in fresh fish, 158 pcs/month in processed product A, and 86 pcs/month in processed product B. A model with a product renewal process mechanism was proposed to overcome this problem, and seven improvement scenarios were developed. The results obtained from the seventh improvement scenario revealed that there was a 100% reduction in fresh fish and processed product B and 94% in processed product A. Besides, there was a saving in need of a fresh fish supply of 10 kg/day. In this article, we show how ARENA software can be adapted to simulate inventory system problems effectively. This research method can be applied to investigate various supply system scenarios and their consequences before implementing them in a real system.
Keywords: inventory simulation, inventory model, arena, perishable product.
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