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Rizki Fadhillah Lubis
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INVENTORY : Industrial Vocational E-Journal On Agroindustry
Published by Politeknik ATI Padang
ISSN : -     EISSN : 27231895     DOI : -
Core Subject : Engineering,
Control & Systems Engineering Engineering Industrial & Manufacturing Engineering
INVENTORY mainly focuses on applied research in Agro-industrial systems and its technology. Therefore, INVENTORY will only process and publish submitted research articles or review articles in the area of: 1. Production Planning and Inventory Control 2. Ergonomic and Work Study 3. Product Design and Development 4. Optimization of Production System 5. Information System 6. Manufacturing Facility Design 7. Maintenance System 8. Energy and agro-industrial machinery 9. Related Topic in Industry 4.0 10. Warehouse 11. Procurement 12. Transportation and Distribution 13. Logistic Decision Making 14. Management and measurement of supply chain performance 15. Other related topics with an object of agro-industry, its products (food and non-food) and services (under the decision from editorial board)
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 5 Documents
 1 
Search results for , issue "Vol. 4 No. 1 (2023)" : 5 Documents clear
Analisis Proses Operasional Air Freight Pada Perusahaan Freight Forwarder Menggunakan Value Stream Mapping Bani, Fajar Ciputra Daeng; Rizal, Muhammad Alde; Faujiyah, Firdhani; Yuniarti, Trisna
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol. 4 No. 1 (2023)
Publisher : Politeknik ATI Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52759/inventory.v4i1.103

Abstract

This study aims to provide an overview of the concept of Value Stream Mapping and its significance in process improvement. It highlights the key steps involved in creating a VSM and emphasizes its role in identifying and addressing various types of waste, such as waiting time, unnecessary movement, and rework. By mapping the current state of a process, organizations gain insights into its inefficiencies and areas for improvement. Furthermore, the importance of developing a future state Value Stream Map that outlines the desired state of the process after implementing improvements. It emphasizes the need for continuous monitoring and evaluation to ensure sustained progress and ongoing optimization. Overall, Value Stream Mapping offers organizations a systematic approach to analyze, optimize, and enhance their processes. By visualizing the value flow and identifying opportunities for improvement, businesses can achieve higher levels of efficiency, reduced costs, improved quality, and ultimately deliver greater value to their customers. The calculation and analysis explained that the total processing time was 105.8 minutes and the total lead time was 47 minutes resulting in a non-value added (NVA) of 34 minutes. If the converted into a process percentage form, it is 32% of the total time spent on operational air freight.
Pendekatan Metode ISMO Dalam Menyusun Penjadwalan Perawatan Gearbox dan Rantai Pengangkut Ore Departemen Circular Sintering PT. IRNC Wirakusuma, Kadex Widhy; Purba, Ari Pranata Primisa; Muhammad, Katon
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol. 4 No. 1 (2023)
Publisher : Politeknik ATI Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52759/inventory.v4i1.110

Abstract

PT. IRNC is a company that operates in the smelter industry. One of the company's production processes is to produce and distribute raw materials in the form of wet Ore into iron and steel products. The distribution of raw materials in this company is continuously ongoing, leading to frequent failures in the functions of the gearbox and the chain of transportation of mineral raw materials. The company has a bustling machine activity but is not associated with the preventive maintenance activities of the machine. One of the activities that can solve the maintenance problem is scheduling preventative maintenance activities and periodic repairs to the gearbox and chain carrier of raw materials. Preventive maintenance is the maintenance activity on the machine which has the purpose of preventing the occurrence of damage, or the maintenance method for the machine planned for the prevention to extend the life of the machine as well as to avoid the failure of function on the machinery that may occur during the production process. This research aims to provide recommendations for scheduled maintenance of the machine with a preventive maintenance approach with the ISMO Method. The results of the research carried out based on the type of work performed inspection (I) and small repair (S) obtained results respectively for gearbox 13 times inspections (I), and 21 times small repairs (S), while for the chain of transportation of Ore 8 times inspection and four times small reparations, and the number of workers involved 21 people, with the total labor costs of Rp—863,820 million per year.
Analisis Metode Economic Order Quanity Guna Melakukan Efisiensi Persediaan Bahan Baku dan Efisiensi Biaya di Industri Bakery Spalanzani, Widya; Sarengat, Panji; Rosihan, Rifda Ilahy; Tambunan, Erwin Barita Maniur
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol. 4 No. 1 (2023)
Publisher : Politeknik ATI Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52759/inventory.v4i1.115

Abstract

One of the companies in East Bekasi is a company engaged in the bread industry, with the product being sandwiches. The purpose of this research is to perform raw material efficiency and cost savings of raw material inventory. In this study, identified the bread production process for 1 period (3 months). It is known that this company ordered raw materials, namely 2100 kg of flour and 480 kg of granulated sugar. However, in reality, only 1537 kg of wheat flour was used and 379 kg of granulated sugar. There is a difference between ordering raw materials and using raw materials so that the costs incurred in carrying out raw material inventory exceed the limits of the costs that have been determined by the company. The method used is the Economic Order Quantity (EOQ) method. The goal is to control the number of raw material orders made by this company and indirectly to save raw material inventory costs. The findings are comparing calculations by companies using EOQ, the efficiency of raw materials after using the EOQ method for wheat flour is 542 kg and granulated sugar is 93 kg and savings in raw material inventory costs for wheat flour is Rp. 156,437 and granulated sugar is Rp. 212,092
Pemodelan Biaya Reverse Logistics Pada Pengelolaan Kemasan Minyak Goreng Ramadhany, Rahmi; Hadiguna, Rika Ampuh; Indrapriyatna, Ahmad Syafruddin; Viarani, Suci Oktri
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol. 4 No. 1 (2023)
Publisher : Politeknik ATI Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52759/inventory.v4i1.108

Abstract

Indonesia is listed as the second largest contributor to plastic waste in the world. The problem currently faced is the increasing amount of plastic waste which is one result of the business processes of companies using plastic packaging or plastic packaging manufacturers, one of the plastic packaging waste that comes from cooking oil packaging. The method to solve the problem of processing cooking oil packaging waste carried out in this study is to modify the existing system into a reverse logistics system. Currently, cooking oil companies have not implemented reverse logistics to reduce plastic packaging production. The reverse logistics system applied in this study is to modify cooking oil packages into packages that can be used repeatedly. The reverse logistics system that is applied is then modeled linerly to find out the minimal costs in implementing reverse logistics for the packaged cooking oil. Based on the development of the packaged cooking oil waste management model, it is known that the results of determining the model solution with the linear programming model are the minimal costs for reverse logistics of packaged cooking oil. The model is designed to do a sensitivity analysis by making changes to the reverse logistics cost parameters, changes in the reverse logistics cost parameters resulting in changes to the results that are directly proportional. The designed model is implemented using PT. XYZ which has a similarity with the designed system.
Penentuan Rute Optimal dan Alokasi Kendaraan dalam Pendistribusian Beras di Provinsi Kalimantan Tengah Novawanda, Olyvia; Suharjono, Clifton; Sentosa, Leonardy
INVENTORY: Industrial Vocational E-Journal On Agroindustry Vol. 4 No. 1 (2023)
Publisher : Politeknik ATI Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52759/inventory.v4i1.117

Abstract

Central Kalimantan is one of the most populous provinces in Indonesia where rice has the greatest impact on the calculation of the poverty line. As of August 2022, 0.44 percent of the inflation in Palangkaraya is attributable to rice, which can contribute to an increase in the MPP rate. Margin perdagangan dan pengangkutan (MPP) is a percentage that indicates the increase in rice prices from producers to final consumers, taking into account transportation costs. The objective of this paper is to determine the optimal route and allocation of each vehicle fleet serving each depot, given several constraints using an open-source spreadsheet solver. Vehicle Routing Problem (VRP) is one of the most frequently encountered optimization problems in logistics. In this instance, we optimize the paddy distribution fleet in Central Kalimantan using the VRP method. The results of the data processing led to the choice of the best route that could adhere to all the limitations, demonstrating that the VRP spreadsheet solver could be used for the case in this study. Based on the computations of 13 vehicles, hereinafter referred to as vehicle (V) which serves 100 Customers, it is obtained that V1 will serve 4 Customers, V2 will serve 5 Customers, V3 will serve 26 Customers, V4 will serve 5 Customers, V5 will serve 5 Customers, V6 will serve 6 Customers, V7 serves 3 Customers, V8 serves 4 Customers, V9 serves 14 Customers, V10 serves 5 Customers, V11 serves 3 Customers, V12 serves 11 Customers, and V13 serves 9 Customers.

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