scholarly journals Designing of Inventory Control for Aluminum Industry

2018 ◽  
Vol 3 (1) ◽  
pp. 22
Author(s):  
Ineu Widaningsih Sosodoro ◽  
Anastasia Lidya Maukar ◽  
Intan Puspita Pribadi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Manufacturing Industry ◽  
Raw Material ◽  
Review System ◽  
Inventory Cost ◽  
Continuous Review ◽  
Reorder Point ◽  
Total Inventory

<p>Inventory is one of important factors in manufacturing industry to ensure production process run. This research was conducted in an aluminum ingot manufacture company. The company faces a problem to manage the inventory system for their main raw material. The problem deals with the high expenditure due to safety stock that causes high inventory cost. Total inventory cost based on current condition is $270,706 per year. The proposed improvement method that used in this analysis is continuous review system. This method is applied to determine the appropriate Reorder Point (ROP) and to minimize the inventory cost. Based on the proposed improvement, total inventory cost can be reduced by 30%. This proposed system is also equipped with Decision Support System by using what-if analysis method as the tool to make decision for the next several periods by giving several scenarios and considering the aspects that influence to decision.<br />Keywords: Inventory, Reorder point, Continuous Review System, Decision Support System, What If Analysis, Scenario</p>

scholarly journals Pengendalian Persediaan Darah Dengan Metode Continuous Review System Pada Palang Merah Indonesia (PMI) Kota Pekanbaru

2019 ◽  
Vol 9 (2) ◽  
pp. 49-57
Author(s):  
Faradila Ananda Yul
Keyword(s):  
Inventory Control ◽  
Blood Supply ◽  
Blood Type ◽  
Review System ◽  
Inventory Cost ◽  
Safety Stock ◽  
Continuous Review ◽  
Reorder Point ◽  
Total Inventory ◽  
The Impact

Blood Transfusion Unit (UTD) PMI Pekanbaru is the organization in charge to provide blood than the one set by the Minister of Health.Masalah yang banyak terdapat pada UTD PMI Kota Pekanbaru adalah permintaan dan ketersediaan akan darah yang tidak pasti dan sulit untuk dikontrol.Thera are many problems in UTD PMI Pekanbaru is the demand and availability of the blood which is unpredictable and difficult to control. Artinya pasokan darah bisa saja habis saat permintaan tinggi dan bisa pula kadaluwarsa akibat terlalu lama di dalam penyimpanan. This means that the blood supply could be depleted when demand is high and can also expire due to too long in storage. Dampak dari tidak tersedianya darah dapat mengakibatkan kematian bagi pasien yang membutuhkannya. The impact of the unavailability of blood can be fatal for patients who need them. Oleh karena itu, diperlukan pengendalian persediaan darah supaya PMI mampu memenuhi permintaan darah. Therefore, the necessary blood inventory control so that PMI is able to meet the demand for blood. Penelitian ini bertujuan untuk menentukan jumlah persediaan darah dan frekuensi pengambilan darah yang optimal. This study aims to determine the amount of blood supply and the frequency of optimal blood. jumlah persediaan dan frekuensi pengambilan darah yang optimal. Inventory number and the frequency of optimal blood. Penelitian ini diawali dengan pengambilan data ke pihak PMI, dilanjutkan dengan pengolahan data dengan menggunakan model continuous review system , pengendalian persediaan dilakukan dengan cara melakukan perhitungan safety stock,reorder point, untuk setiap golongan darah serta implementasi two bin system .This study begins by loading data to the PMI, followed by processing the data using a model of continuous review system, inventory control is done by calculating safety stock,reorder point, for each blood type as well as the implementation of the two-bin system.Berdasarkan metode continuous review system,Total inventory cost (TIC) yang minimum rata-rata dari semua golongan darah adalah sebesar 104.389 rupiah.Based on the method of continuous review system,total inventory cost (TIC) the minimum average of all blood groups amounted to 104 389 rupiah. Terdapat penghematan sekitar 75.000 rupiah atau 56% per kantung darah. There is a saving of about 75,000 rupiah or 56% per bag of blood. Berdasarkan hasil tersebut maka biaya persediaan yang dijalankan pihak UTD PMI kota Pekanbaru belum mencapai titik minimal. Based on these results the cost of inventory that is carried out by UTD PMI Pekanbaru city has not reached the minimum point.  

Spatial intelligent decision support system for increasing productivity on natural rubber agroindustry by green productivity approach

2017 ◽  
Vol 66 (6) ◽  
pp. 742-765 ◽  
Author(s):  
Yuliana Kaneu Teniwut ◽  
Marimin Marimin ◽  
Nastiti Siswi Indrasti
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Natural Rubber ◽  
Support System ◽  
Measurement Model ◽  
Raw Material ◽  
Rubber Plantation ◽  
Content Type ◽  
Green Productivity ◽  
Decision Alternatives

Purpose The purpose of this paper is to develop a spatial intelligent decision support system (SIDSS) for increasing productivity in the rubber agroindustry by green productivity (GP) approach. The SIDSS was used to measure the productivity of rubber plantation and rubber agroindustry by GP approach, and select the best strategies for increasing the productivity of rubber agroindustry. Design/methodology/approach This system was developed by combining spatial analysis, GP, and fuzzy analytic network process (ANP) with the model-based management system, which is able to provide comprehensive and meaningful decision alternatives for the development of natural rubber agroindustry. Rubber plantation productivity measurement model was used to find the productivity level of rubber plantation with fuzzy logic, and also to provide information and decision alternatives to all stakeholders regarding spatial condition of rubber agroindustry, production process flow, and analysis of the seven green wastes at each production process flow using the geographic information system. GP measurement model was used to determine the productivity performance of the rubber agroindustry with the green productivity index (GPI). The best strategy for increasing the productivity was determined with fuzzy ANP. Findings Rubber plantation measurement model showed that the average of plantation productivity was 6.25 kg/ha/day. GP measurement model showed that the GPI value of ribbed smoked sheet (RSS) was 0.730, whereas of crumb rubber (CR) was 0.126. The best strategy for increasing the productivity of rubber agroindustry was raw material characteristics control. Based on the best strategy, the GPI value of RSS was 1.340, whereas of CR was 0.228. Research limitations/implications This decision support system is still limited as it is based on static data; it needs further development so that it can be more dynamically based on developments in the rubber agroindustry related levels of productivity and environmental impact. In addition, details regarding the decision to increase the productivity of the rubber section by benchmarking efforts should be studied further, both among plantation as well as among countries such as Thailand so that the productivity of rubber plantation and agroindustry can be integrated. Practical implications This research can help the planters to select superior clones for rubber trees, to improve the technique of tapping latex, and to use a better coagulant. The good quality and quantity of raw material is a key factor in increasing the productivity of rubber agroindustry; if the quality of latex is good then the resulting product will also have a good quality and production cost can be reduced. In addition, the application of GP through the calculation of GPI value using improvement scenarios can be used as a reference and comparison for evaluating the performance of rubber agroindustry to reduce the waste generated by the activities of rubber processing plant. Social implications Reduction of waste generated by production activities can improve the quality of life of the workforce and the environment. The calculation of GPI value can also be used as a basis to use raw materials, water, and electricity more efficiently. Originality/value This system was developed by combining spatial analysis, GP, and fuzzy ANP with the model-based management system, which is able to provide comprehensive and meaningful decision alternatives for the development of natural rubber agroindustry.

scholarly journals DETERMINATION OF INVENTORY PERIODIC REVIEW POLICY (R, s, S) USING POWER APPROXIMATION METHOD FOR MINIMIZE TOTAL INVENTORY COST IN PT. OPQ

2019 ◽  
Vol 3 (01) ◽  
pp. 47-52
Author(s):  
Ratnawia ◽  
Rio Aurachman ◽  
Saskia Puspa Kenaka
Keyword(s):  
Manufacturing Industry ◽  
Raw Materials ◽  
Service Level ◽  
Raw Material ◽  
Periodic Review ◽  
Inventory Cost ◽  
Automotive Manufacturing ◽  
Power Approximation ◽  
Total Inventory

OPQ is a company engaged in the automotive manufacturing industry. The company produces bolts for the safety area, it is related to the lower body of the four-wheeled vehicle. PT. OPQ was established in 2014 and today has already been the supplier for several major automotive companies in Indonesia. The demand of PT OPQ that must be fulfilled is increasing as the amount of consumer is increasing too. Due to the high demand, so the raw material stockout occurs. This make the company's service level is below the standard.   This study involved 48 sku of material raw materials that have normal distributed demand. Inventory policy applied in this research is periodic review (R, s, S) with the aim to minimize total cost of inventory and improve service level of company.   The result of this research was found to decrease total inventory cost by 15% with the value of existing inventory cost Rp1.100.879.479,- to Rp 936.061.349,- . In addition, service level at PT. OPQ has increased with the value of existing conditions 85% to 99%.   Keywords—Raw Material, Periodic Review, Probabilistic, Service Level, Stock out

scholarly journals Preliminary Study of Web Based Decision Support System to Select Manufacturing Industry Suppliers

2020 ◽  
Vol 55 (2) ◽  
Author(s):  
Denny Trias Utomo ◽  
Pratikto ◽  
Purnomo Budi Santoso ◽  
Sugiono
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Complex Problem ◽  
Web Based ◽  
Management Framework ◽  
Artificial Intelligence Technology ◽  
Selection Of

Industry 4.0 is an integration between automation and manufacturing industry which requires the use of information technology to implement it. In the operational management framework, there is a supply chain management function that is strongly influenced by quality suppliers. Because choosing a quality new supplier is not an easy thing, we need a reliable application tool and utilizing web-based artificial intelligence technology for the selection of suppliers in the manufacturing industry. The selection of new suppliers is a complex problem because it involves multiple criteria, therefore it is necessary to make a decision support system that is able to complete supplier selection properly. Although the selection of suppliers in the manufacturing industry is not new, in the era of Industry 4.0, a decision support system that is used to choose an absolute supplier based online that must be accessible via the web or mobile application. Therefore the writer's idea in this paper is very relevant to be implemented in the manufacturing industry in all fields in the industrial era 4.0.

scholarly journals Implementasi Algoritma Wagner-Within pada Manajemen Inventori di PT X

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Puspandam Katias ◽  
Achmad Affandi
Keyword(s):  
Production System ◽  
Manufacturing Industry ◽  
Raw Materials ◽  
Raw Material ◽  
Efficient Production ◽  
Manufacturing Companies ◽  
Inventory Cost ◽  
Qualitative Descriptive ◽  
Total Inventory ◽  
Supporting Material

The increasing competition in the manufacturing industry caused increasing inconsumer demand of the quality and quantity of a good product. Therefore, manufacturing companies must have reliable services, policies and product qualities to satisfy its customers. So it needs to be supported by efficient production system and inventory system. To able to create an efficient production system then need a good raw material inventory planning. This research aims to compere how efficiently in planning raw materials inventory between Wagner-Within Algorithm with the actual concept that applied to PT X, Sidoarjo. The methodology of this research is qualitative descriptive research. The findings this research is engaged in packaging (woven bag and jumbo bag) with main raw materials such as plastic ore and supporting material in inner, thread, additive, and pigment. Based on the result of the analysis is known that the actual concept of the company gives the total inventory cost IDR 3.151.000.000 with the frequency of ordering 12 times while WagnerWithin Algorithm method provides a more efficient total inventory cost of Rp. 2.685.821.101 with8 times the frequency of ordering and can savings of 14.8% of total raw material inventory cost.

Sistem Pendukung Keputusan Penentuan Kualitas Tempe Siap Jual Dengan Metode Weight Product

2020 ◽  
Vol 3 (2) ◽  
pp. 158-162
Author(s):  
Benyamin Sembiring ◽  
Sulindawaty Sulindawaty
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Raw Material ◽  
Final Decision ◽  
Traditional Methods ◽  
Calculation Process ◽  
Product Method

According to this SNI, soybean tempeh is packaged in well-closed packages, namely leaves and plastic. At MSME Latersia Berkat Tempe, it was found that information problems determining the quality of tempe were very diverse in determining the quality of tempe, generally using traditional methods. In this study, the calculation was carried out by applying the SPK with the Weighted Product (WP) method in determining the quality of ready-to-sell tempe and designing the Decision Support System (SPK) application with the Weighted Product (WP) method in determining the quality of ready-to-sell tempe using Visual Studio 2010. Analysis of the data obtained Tempe data as alternative data is taken from general packaging, namely Tempe Wrapped in Plastic and Tempe Wrapped in Leaves. The criteria for determining the quality of tempe production, in this study are influenced by Raw Material (C1), Type of Yeast (C2), Packaging (C2), Taste (C4), Color (C5), Typical Odor of Tempe (C6), Texture (C7), Sales (C8). In the application, the Alternative Data and Criteria Data are inputted, then the calculation process is carried out using the Weighted Product method. The result of the WP ranking calculation is determined to be the highest value to be the final decision of the system.

DECISION SUPPORT SYSTEM CLASSIFICATION AND ITS APPLICATION IN MANUFACTURING SECTOR: A REVIEW

2016 ◽  
Vol 79 (1) ◽  
Author(s):  
Muhammad Syahid Hasan ◽  
Zuhriah Ebrahim ◽  
Wan Hasrulnizzam Wan Mahmood ◽  
Mohd Nizam Ab Rahman
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
System Application ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
Research Trend ◽  
Model Application ◽  
Manufacturing Operations ◽  
Support Evaluation

The purpose of this paper is to review decision support system application trend in manufacturing sector. Following the introduction of decision support system, the paper has discussed the application of decision support system in manufacturing sector and identifies the trend in term of decision support system types and their application types. In year 2011 until 2015, the most preferred decision support system were developed by using the model application. It also been found that, most of the developed decision support system are used to support evaluation activities in manufacturing operations. This review provides research trend on decision support system for the recent five years (2011 -2015) in the context of decision support system application in manufacturing industry. 

scholarly journals Pendukung Keputusan Penentuan Jumlah Order Menggunakan Fuzzy Mamdani

MATICS ◽  
2017 ◽  
Vol 9 (2) ◽  
pp. 80
Author(s):  
Elta Sonalitha
Keyword(s):  
Decision Support ◽  
Customer Satisfaction ◽  
Decision Support System ◽  
Support System ◽  
Financial Management ◽  
Raw Materials ◽  
Raw Material ◽  
Purchase Price ◽  
Demand And Supply ◽  
Purchasing Managers

<strong>To get customer satisfaction, a restaurant should always provide raw materials in accordance with the menu. Each raw material has a different demand based on an uncertain customer interest. Purchasing managers have difficulty in determining the number of orders for each raw material, due to the uncertainty of demand and supply. Therefore we built decision support system for determining the number of orders using fuzzy mamdani. From decision support system we get ROP and recommendation of the number of orders accompanied by the total purchase price for each raw material. This system helps the purchasing managers in determining the amount of orders quickly and precisely by considering the losses, especially in the field of financial management.</strong>

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