Optimizing planned lead times for enhancing performance of MRP systems

Persediaan merupakan kekayaan perusahaan yang memiliki peranan penting dalam operasi bisnis, sehingga perusahaan perlu melakukan manajemen persediaan proaktif, artinya perusahaan harus mampu mengantisipasi keadaan maupun tantangan yang ada dalam tata kelola persediaan untuk meminimalisasi total biaya yang harus dikeluarkan oleh perusahaan. Permasalahan yang timbul di PT XYZ adalah perusahaan mengabaikan masalah pemesanan bahan baku. Tidak adanya sebuah metode yang sudah baku dalam hal pemesanan bahan baku. Dalam pemesanan bahan baku, perusahaan hanya berdasarkan pada pengalaman sebelumnya. Material Requirement Planning (MRP) adalah suatu metode yang digunakan untuk mengendalikan persediaan bahan baku pada perusahaan. Hasil penelitian ini dapat menyimpulkan bahwa perencanaan kebutuhan bahan baku dengan metode perusahaan didapatkan total cost sebesar Rp 3.556.258.241,-, sedangkan metode MRP didapatkan total cost sebesar Rp 3.003.026.414,-. Maka dapat disimpulkan telah terjadi penurunan total cost seluruh bahan baku sebesar 15,5%. Hal ini membuktikan bahwa metode MRP lebih efisien daripada metode PT XYZ. Oleh karena itu untuk mendapatkan total cost yang minimum, metode MRP diterapkan pada tahun 2019/2020 sehingga didapatkan total cost sebesar Rp 2.050.494.949,-.

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“…Penerapan MRP mampu mengendalikan persediaan bahan baku yang efektif dan pemesanan kembali yang optimal (Milne, Mahapatra, & Wang, 2015).…”

Section: G Tujuan Materials Requirement Planning (Mrp)unclassified

Pengendalian Persediaan Bahan Baku Woven Bag Dengan Metode Material Requirement Planning (Mrp) Untuk Mengurangi Biaya Produksi Pada Pt. Xyz

Ali

Rusindiyanto

2020

JUMINTEN

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“…This company had to adopt scientific methods to increasing the ensuring level of timely supply of needed goods and decreasing the maintenance costs of goods simultaneously [1]. That mentioned goods has potential importance of financial (Materials and excavation goods for the purposes of developing oil and gas fields, spare parts and other consumables for repairs and maintenance of machinery and devices, in order to continuity the process of exploitation of oil and gas reservoirs and prevention of possible interruptions in production) and on the other hand the number, frequency and time of the order, time distance of providing each items, type and the storage number of different goods and circulation rate of each goods item are also important parameters that has an important role in providing timely goods [5,6]. For this purpose, in order to excavation goods in terms of being expensive and damages caused by lack or deficiency at the required time a large amount of money is spent that ABC inventory control is of potential importance [7].…”

Section: Important Notementioning

confidence: 99%

Designing MRP Model in the Condition of Capacity Constraints and Variability of Delivery for Critical Items in ABC Inventory Model “Case Study in National Company of South’s Oil-rich”

Shoushtari¹,

Afsharkazemi²,

Radfar³

et al. 2017

Review Pub Administration Manag

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In productive enterprises, timely preparation and procurement of goods is very important due to that related costs to the production and working capitals of organization is severely affected. In available scientific methods, including MRP, regardless of resource constraints and other factors, the amount of lead time of goods has always considered to be fixed. In this paper, then a model will present that lead time of goods is considered as dynamic by using statistical and also effectiveness models from internal and external environment variables of organization and optimized the cost of production in order to reduce the latency in timely receiving and balancing the warehousing time. At the end, researcher with the implementation of issue in a simulated environment and compare it with the real environment, shows the advantage of proposed model compared to other models by numbers and figures.

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“…Setting 'correct' lead times has been of concern both in academia and industry for decades (see e.g. Mather and Plossl 1978;Billington, McClain, and Thomas 1983;Selcuk, Fransoo, and Kok 2006;Milne, Mahapatra, and Wang 2015). In traditional production planning models (e.g.…”

Section: Introductionmentioning

confidence: 99%