Model Simulasi Kejadian Diskrit Untuk Menentukan Jumlah Dan Strategi Penugasan Automated Guided Vehicle (AGV) Pada Gudang Industri Manufaktur Otomotif

Pradipta, Apsarini (2023) Model Simulasi Kejadian Diskrit Untuk Menentukan Jumlah Dan Strategi Penugasan Automated Guided Vehicle (AGV) Pada Gudang Industri Manufaktur Otomotif. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Kegiatan pergudangan terdiri dari berbagai aspek mulai dari proses receiving, put away, storing, hingga order picking. Dari berbagai aspek tersebut order picking dan put away merupakan aktivitas pergudangan yang menghabiskan 55% biaya total operasional. PT. X merupakan perusahaan manufaktur otomotif yang memutuskan untuk melakukan otomasi gudang dengan cara mengimplementasikan AGV (Automated Guided Vehicle) pada aktivitas gudang khususnya untuk proses put away dan order picking. Dengan mengimplementasikan AGV diharapkan dapat meminimasi travel time untuk menghindari penumpukan barang pada area receiving, serta laju perputaran pada gudang akan lebih cepat. Penentuan jumlah unit dan strategi penugasan AGV perlu ditentukan untuk meminimasi biaya investasi yang dibutuhkan dan mencegah terjadinya deadlock pada suatu rute jika terlalu banyak AGV yang bermobilitas. Penelitian ini melakukan pengembangan model simulasi diskrit dengan software ARENA untuk menentukan jumlah dan strategi penugasan AGV mempertimbangkan jam istirahat, dan jenis produk yang dikelola. Untuk menentukan jumlah dan strategi penugasan AGV yang sesuai, diberlakukan 2 faktor eksperimen, yaitu perubahan jumlah unit AGV yang digunakan dan perubahan strategi penugasan meliputi dedicated dan undedicated. Berdasarkan hasil penelitian, diperoleh jumlah AGV yang disarankan untuk perusahaan sejumlah 16 unit, dengan 14 unit untuk kegiatan operasional gudang, dan 2 unit untuk cadangan, serta strategi penugasan undedicated. Dengan skenario tersebut, didapatkan nilai utilitas sebesar 74,22% yang dapat mengelola 97.495 box per bulan, dengan durasi rata-rata waktu tungu selama 0,45 jam per hari.
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Warehousing activities consist of various aspects, starting from the process of receiving, putting away, and storing, to order picking. From these various aspects, order picking and put away are warehousing activities that consume 55% of total operational costs. PT. X is an automotive manufacturing company that decided to carry out warehouse automation by implementing AGV (Automated Guided Vehicle) in warehouse activities, especially for put away and order picking processes. By implementing AGV it is expected to minimize travel time to avoid accumulation of goods in the receiving area, and the turnover rate in the warehouse will be faster. It is necessary to determine the number of units and the assignment strategy for AGVs to minimize the required investment costs and prevent deadlocks on a route if too many AGVs are mobile. This study developed a discrete simulation model using ARENA software to determine the number and strategy of AGV assignments taking into account rest hours and the type of product managed. In order to determine the number and appropriate AGV assignment strategy, 2 experimental factors were applied, namely changes in the number of AGV units used and changes in the assignment strategy including dedicated and undedicated. Based on the research results, the recommended number of AGV for companies is 16 units, with 14 units for warehouse operations, and 2 units for reserves, as well as an undedicated assignment strategy. With this scenario, a utility value of 74.22% is obtained which can manage 97,495 boxes per month, with an average waiting time of 0.45 hours per day.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Automated Guided Vehicle (AGV), put away, order picking, discrete eventsimulation.
Subjects:	Q Science > QA Mathematics > QA274.8 Queuing theory T Technology > T Technology (General) > T57.62 Simulation
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User:	Apsarini Pradipta
Date Deposited:	09 Oct 2023 02:07
Last Modified:	09 Oct 2023 02:07
URI:	http://repository.its.ac.id/id/eprint/102320

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