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All Journal J@TI (TEKNIK INDUSTRI) JURNAL TIARSIE Jurnal Telematika Engineering Science Letter Journal of Management Studies and Development Journal of Organizational and Human Resource Development Strategies Journal of Integrated System
Silitonga, Roland Y. H.
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Social Sciences

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Journal : Jurnal Telematika

 1 
Pengembangan Model untuk Aplikasi Pengendalian Persediaan Probabilistik Multi Item Single Supplier Silitonga, Roland Y. H.; Kawet, Meyelin Paskal
Jurnal Telematika Vol. 12 No. 1 (2017)
Publisher : Yayasan Petra Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61769/telematika.v12i1.158

Abstract

The probabilistic inventory model is a state of inventory that has uncertainty, but its expected value, variance, and distribution patterns can be predicted. This model can be used to solve inventory problems in the fluctuating demand form. In a postal service provider, inventory shortage in a period can be fulfilled by making back order, so the cost is usually more expensive than regular order. The probabilistic inventory model used to solve the problem is Q back order by assuming that all types of goods in the company are independent. This model can be developed, because basically the goods in the service company are not mutually free but have one form of dependence which is supplier similarity. Based on that, the research was developed using multi item single supplier model by combining several kinds of goods in the procurement process through a tender to select the vendor that offers the cheapest price so it can minimize the purchasing cost and procurement cost, and minimize the total inventory cost. This model would be applied in software applications in order to make model’s performance easier to monitor.Model persediaan probabilistik merupakan suatu keadaan persediaan yang memiliki ketidakpastian, namun nilai ekspektasi, variansi, dan pola distribusinya dapat diprediksi. Model ini dapat digunakan untuk menjawab permasalahan persediaan berupa jumlah permintaan yang fluktuatif. Di sebuah perusahaan jasa penyedia layanan pos, kekurangan persediaan pada suatu periode dapat dipenuhi dengan melakukan pemesanan darurat, sehingga biaya yang ditimbulkan biasanya lebih mahal dari pemesanan normal. Model persediaan probabilistik yang digunakan untuk menyelesaikan permasalahan tersebut adalah Q back order dengan mengasumsikan bahwa semua jenis barang dalam perusahaan saling bebas. Model ini dapat dikembangkan, karena pada dasarnya barang di perusahaan jasa tidak saling bebas tetapi memiliki suatu bentuk ketergantungan berupa kesamaan supplier. Berdasarkan hal tersebut dilakukan pengembangan penelitian menggunakan model multi item single supplier, yaitu menggabungkan beberapa jenis barang dalam proses pengadaan melalui tender untuk memilih vendor yang menawarkan harga terendah, sehingga dapat meminimasi biaya pembelian dan biaya pengadaan, serta meminimasi total biaya persediaan. Model ini akan diterapkan dalam aplikasi perangkat lunak dengan tujuan agar kinerja model dapat dengan mudah dipantau.
Development of Multi Item Probabilistic Inventory Model by Considering Perishable and Purchase Bonus Factors Limanjaya, Billy; Silitonga, Roland Y. H.
Jurnal Telematika 2018: Industrial Engineering Seminar and Call for Paper (IESC) 2018
Publisher : Yayasan Petra Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61769/telematika.v0i0.248

Abstract

Probabilistic inventory model is used mostly in a condition when the demand has uncertainty but the pattern can be predicted, which is the most applicable model in real situation. There are two models considered in the study as the base. In the first previous model, purchase bonus policy was applied to probabilistic inventory model, considering purchase bonus that was given by the supplier. Other model was built considering perishable factor that affect inventory cost based on deterministic demand condition. The purpose of this research is to combine those models, a probabilistic inventory model considering perishable and purchase bonus factors. The model was built for multi item with single supplier case. By comparing the models, it can be concluded that the developed model was comprehensive and applicable in real condition.
Co-Authors Heryanto, Dhany Indriati, Ellen Julieta, Celia Esterina Kawet, Meyelin Paskal Leni Herdiani Limanjaya, Billy Martina, Inge Rahayu, Evelyn Arnetta Sandryawal Sibarani, Mentiana Siokain, Jeksi Sutanto, Chrisilla L. Suwandi, Florence Syaputra, Gusti Dhio Tarigan, Joshua Michael Servilo Tindaon, Phila Delphia Wiyono