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All Journal Jurnal Teknologi Industri Pertanian Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal
Machfud Machfud
Departemen Teknologi Industri Pertanian, Fakultas Teknologi Pertanian, Institut Pertanian Bogor
Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering

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PENGENDALIAN PERSEDIAAN BAHAN BAKU BASE MATERIAL PADA INDUSTRI KERAMIK DI PT. XYZ Lidya Susanti; Machfud Machfud; Rokhani Hasbullah
Jurnal Aplikasi Bisnis dan Manajemen (JABM) Vol. 1 No. 2 (2015): JABM Vol. 1 No. 2 Desember 2015
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/jabm.1.2.108

Abstract

Inventory of raw materials in the company is very important, so it has to be controlled. A good inventory control of raw materials should be supported with cost efficiency. This study was to analyze factors that cause the base material inventories excess at PT. XYZ and analyze the purpose of the base material inventories to be controlled. The reseacrh was using a fish bone method and continue with using pairwise comparison method assisted with the expert choice 2000 software. The classification result based on ABC analysis, the selected item that was going to be analyzed was the A category items.The items that are included in the A category are clay ex belitung jw, clay ja 1/ja b and sodium feldspar. The EOQ equations model was used to answer the purpose of the base material inventories control. Based from the EOQ model, the needed quantity, order quantity, order frequency, reorder point (ROP), total order cost (TOC), total carrying cost (TCC), and total inventory cost (TIC) could be obtained. The comparison of the total cost of inventory among the EOQ model and company policies showed that the EOQ model in seven months can save up to Rp311.612.769. PT. XYZ could minimize the base material inventory costs by calculating the costs incurred. The EOQ model could be implemented if all of the departments involved are well cooperated. PT. XYZ should also be able to make inventory control standards which are quantity order, order frequency, and reorder point. Keywords: Cost, EOQ, frequency, inventory, ROPABSTRAKPersediaan bahan baku pada perusahaan sangatlah penting, sehingga harus dapat dikendalikan. Pengendalian persediaan bahan baku yang baik harus didukung dengan efisiensi biaya. Penelitian ini untuk menganalisis faktor-faktor yang menyebabkan kondisi persediaan bahan baku base material berlebih di PT. XYZ dan menganalisis persediaan bahan baku base material agar dapat dikendalikan. Penelitian ini menggunakan metode fish bone dilanjutkan dengan metode pairwise comparison dengan dibantu software expert choice 2000. Hasil pengklasifikasian berdasarkan analisis ABC item yang akan di analisis yaitu item yang termasuk klasifikasi A. Item yang termasuk klasifikasi A yaitu clay ex belitung jw, clay ja 1/ja b dan sodium feldspar. Persamaan-persamaan model Economic Order Quantity (EOQ) digunakan untuk menjawab tujuan dari pengendalian persediaan bahan baku base material. Pada model EOQ didapatkan jumlah kebutuhan, banyaknya jumlah setiap pemesanan, frekuensi pemesanan, titik pemesanan ulang (ROP), total biaya pesan (TOC), total biaya simpan (TCC) dan total biaya persediaan (TIC). Hasil perbandingan total biaya persediaan antara model EOQ dan kebijakan perusahaan didapatkan hasil bahwa dengan menggunakan model EOQ dalam tujuh bulan dapat menghemat Rp311.612.769. PT. XYZ dapat meminimalkan biaya persediaan bahan baku base material dengan melakukan perhitungan biaya-biaya yang ditimbulkan. Model EOQ dapat dijalankan ketika semua Departemen yang terlibat dapat bekerjasama dengan baik. PT. XYZ pun harus dapat membuat standar pengendalian persediaan yaitu jumlah setiap kali pemesanan, frekuensi pemesanan, titik pemesanan ulang. Kata kunci: Biaya, EOQ, frekuensi, persediaan, ROP
Kinerja Manajemen Rantai Pasok dengan Menggunakan Pendekatan Metode Supply Chain Operation Reference (SCOR) Arief Rakhman; Machfud Machfud; Yandra Arkeman
Jurnal Aplikasi Bisnis dan Manajemen (JABM) Vol. 4 No. 1 (2018): JABM Vol. 4 No. 1, Januari 2018
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/jabm.4.1.106

Abstract

Business competition in the automotive world is increasingly hypercompetitive. According to the Motor Vehicle Industry Association, annual purchase of motor vehicles has increased the share of automotive business. However, this increasingly open business condition has not been followed by positive impacts on the corporate profits of PT. XYZ in a span of 5 years. This study measured the performance of the supply chain in PT. XYZ using SCOR model approach. The weighting was calculated using fuzzy AHP and performance assessment matrix. The improved supply chain performance was formulated with the method of Focus Group Discussion (FGD). The measurement results show that the performance of supply chain in PT. XYZ is in the Good category (76%), the effectiveness performance with a value of 85% is in Good category while the efficiency performance is in Average category (68%). Supply chain improvement strategy was formulated with 3 tools: campaign quality, shop floor management, and cost control.Keywords: performance appraisal, SCOR, FGD, Fuzzy AHP
MODEL PERENCANAAN DAN PENGENDALIAN PRODUKSI DI INDUSTRI PENGOLAHAN BUAH CARICA (CARICA PUBESCENS) Machfud Machfud; Abdurrafi Abdurrafi
Jurnal Teknologi Industri Pertanian Vol. 32 No. 1 (2022): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24961/j.tek.ind.pert.2022.32.1.50

Abstract

The competition in the carica fruit processing industry is increasing, so that efforts are needed to increase production efficiency through good production planning and control (PPC). CV XYZ is one of the carica fruit processing companies which has PPC problems. PPC activities done intuitively and not systematically causing a decision in PPC is ineffective and production process is inefficient. Those problems can be resolved by developing a PPC model in accordance with CV XYZ’s business process. So, this research objective was to develop a PPC model at CV XYZ. The model consisted of four sub-models which were related to each other. The first sub-model was Sub-model of Demand Forecasting and the second sub-model was Sub-model of Carica Fruit Availability Forecasting. Those two sub-models used the Auto-regressive Integrated Moving Average (ARIMA). The third sub-model was Sub-model of Production and Packaging Planning using Integer Linear Programming (ILP). The fourth sub-model was Sub-model of Carica Fruit Inventory Control using Material Requirement Planning (MRP). PPC model can clarify the PPC system at CV XYZ and produce optimal plans. PPC model improves efficiency of total production cost up to 39.86% and total inventory cost up to 27.56%. Keywords: carica industry, model, optimal, production planning and control
Co-Authors Abdurrafi Abdurrafi Arief Rakhman Lidya Susanti Rokhani Hasbullah Yandra Arkeman