Material Inventory Control Research Articles

Raw material inventory control system for small companies

For companies, the problem of managing raw material supplies is very important. This requires adequate management techniques. This means that all company operations are carried out in accordance with established plans and procedures and always lead to the goals to be achieved by Integration. Implementation of raw material management requires intensive inspection, so companies need to carry out internal audits. Internal audit inspection must be carried out objectively and independently in carrying out its duties. Problems that arise in this study (1) How is the application of internal audit raw material inventory management at UD company. Makmur Semanding? (2) Whether internal audit raw material inventory management can improve the efficiency and effectiveness of UD company operations. Makmur Semanding? The purpose of this study is (1) to describe how the implementation of internal audit management of raw materials at UD company. Prosperous Semanding. (2) To illustrate whether the internal audit of raw material inventory management can improve the efficiency and effectiveness of UD company operations. Prosperous Semanding. For the purposes of analysis and discussion, the authors use analysis techniques as flow chart analysis tools are used to determine the supply of raw materials to company management. Based on the provisions of Article 3 is the determination of the category value, then by calculating the score of raw material inventory management UD company sales revenue. Makmur Semanding is included in the sufficient category, because the total score is 91, this score is in the range of scores between 62-92.

Inventory Management and Operational Performance of Manufacturing Firms in South-East Nigeria

This study aims to ascertain the relationship between inventory management and operational performance of quoted manufacturing firms in the south-east; one of the geographic regions with high industrialization prospects in Nigeria. To achieve this, operational performance of manufacturing firms and their association with components of inventory management; inventory cost, just-in-time approach, materials requirement planning and strategic supplier partnership, was examined through a questionnaire. Three hundred and seventy-one copies of a questionnaire issued to five hundred and thirty-eight sampled respondents of four quoted manufacturing firms in the south-east region of Nigeria were properly filled and found relevant to the study. The study used SPSS and Excel-based descriptive statistics to analyze the data collected. Regression analysis was used to test the hypotheses of the study. Study results conclude that there is a positive significant relationship between; inventory cost, just in time approach, materials requirement planning and strategic supplier partnership and operational performance of quoted manufacturing firms in the south-east region, Nigeria. The study recommends among others that, manufacturing firms in south-east Nigeria should adopt inventory practices such as strategic supplier partnership, just-in-time approach, materials requirement planning and inventory cost control due to the significant effect these practices have on operational performance.

Adaptive Neuro-Fuzzy Inference System (ANFIS) Approach to Raw Material Inventory Control at Pt XYZ

Raw material inventory control is important thing for food companies. The adaptive inventory control is able to adapt to changes in the environment, maintain system performance and stability in the face of various problems in the industry, one of which can be applied to controlling raw material inventories. PT XYZ is a jelly drink industry that has a high level of raw material inventory. In 2016 the investment costs incurred by PT XYZ for carrageenan raw materials ranged from 55–566 million IDR. Costs incurred are quite high and require considerable handling in their maintenance. Therefore, a solution is needed to minimize inventory costs without disturbing the business process. The purpose of this study is to analyse the raw materials inventory PT XYZ for jelly drink product. The analysis is carried out on the main raw material, namely agar (carrageenan) which has three suppliers. The method used is BPMN 1.0 and ANFIS (Adaptive Neuro Fuzzy Inference Systems) which form rules of raw material control rules. This method is an alternative decision making and accommodates flexibility in the form of frame work that accommodates uncertainty of information or data that is less accurate. This study uses four input parameters, namely production demand, raw material arrival, usage and stock. The output obtained is in the form of inventory costs. The results of the study are information regarding the role of each actor who stores important data as a sequence of decision making. The application of ANFIS to design a raw material inventory control system using epoch 50 produces 90 rules of rules with testing errors. The average test for the training dataset is 0, 00077412 and the test and examination dataset is 0, 0006903. Rules of rules obtained can be applied to control raw material inventories.

Raw material inventory control analysis with economic order quantity method

The purpose of this research is to minimize the total cost of raw material inventory more economically in accordance with the production needs. Economic Order Quantity is the method used to support this research. For this purpose, this method generates total inventory cost consisting of a minimum ordering cost and carrying cost. From this result, the inventory level and the number of raw material demand become more economic suitable with the production needs. It is because this method applies two types of cost, carrying cost and ordering cost that make the total inventory cost become more economically. So, this method can use to get the most economical total inventory cost and reduce storage cost swelling.

The Need of Catering Food Materials using Lotting Technique

The purpose of this study is to minimize the purchase cost for each food from the catering menu. Therefore, raw material inventory control method is needed to plan arrival schedule, order schedule, and the amount of ordering of each foodstuff. The technique of determining the amount of ordering (lotting technique) used there are three, namely the least unit cost technique, the lot for lot technique and the least total cost technique. The results of this study indicate that the company can minimize the cost of purchasing food based on lead time, storage time limit, and optimal lotting techniques. Lead time is the period between the order to the delivery time, the storage time limit is how long the best time required for the quality of foodstuffs are maintained, while the lotting technique is the optimal size of order quantity. The lotting technique chosen for each type of food material is different. The cost of purchasing the food consists of the price of the foodstuff, the ordering fee for the type of material and the storage cost for the type of foodstuff. There are 16 types of foodstuffs with the cost of purchasing the smallest raw material with the lot for lot techniques. There are 29 types of foodstuffs with the cost of purchasing the smallest raw materials using the least unit cost techniques. And 10 types of foodstuffs with the least total cost technique as a lotting technique with the purchase of the smallest raw material. Of the 55 types of food raw materials, the company was able to save the cost of purchasing groceries of 33,006,371.75 IDR per month. Of course, in order to apply this planning, the company must provide facilities in order to extend the life of the foodstuff in accordance with predetermined lead time and to ensure the quality of the foodstuff is guaranteed.

THE PERFORMANCE OF APPLE CHIPS SUPPLY CHAIN MANAGEMENT AT SMALL INDUSTRY IN BATU CITY

Batu City is one of well known cities in East Java Province which is as center of tourism destination and also as center of apple production. There is growing small scale industry related to apple processed products, such as apple chips. In an effort to support the supply of raw materials and production planning, it is necessary to know the achievement of supply chain performance in a small industry of apples chips in Batu City. The method used is qualitative analysis to know the system of raw material inventory control and production planning system applied and analyze the performance of supply chain management, supply chain mapping with SCOR (Supply Chain Operations Reference) method, measurement of supply chain performance by using measured performance attribute that is Supply Chain Reliability, Supply Chain Responsiveness and Supply Chain Agility with performance metrics of Perfect Order Fulfillment (POF), Order Fulfillment Cycle Time (OFCT), Upside Supply Chain Flexibility, Upside Supply Chain Adaptability and Downside Supply Chain Adaptability. The results of this study indicate that the system of raw material inventory control and production planning system have been applied. Supply chain mapping, performance measurement of supply chain management need to be developed more to improve supply chain management performance in the small industry apple chips in Batu City.

ANALISIS PENGENDALIAN PERSEDIAAN BAHAN BAKU DENGAN MENGGUNAKAN METODE ECONOMIC ORDER QUANTITY (EOQ) DALAM UPAYA MEMINIMUMKAN BIAYA PRODUKSI PADA CV. DELAPAN-DELAPAN KUNINGAN

The research gap arises from the fluctuation of raw material inventory, the absence of safety stock and reorder point, and research gap from previous research that support EOQ (Economic Order Quantity) method and comparison with conventional method. The study aims to determine: (1) Whether the raw material inventory control method applied by CV. Delapan-Delapan is optimal, (2) Whether the method of EOQ (Economic Order Quantity) minimizes the production cost in CV. Delapan-Delapan, (3) how many optimal order of raw material at CV. Delapan-Delapan, (4) the amount of safety stock at CV. Delapan-Delapan, and (5) The time the CV. Delapan-Delapan do the Re Order Point if the company applies EOQ policy. The analytical method used in this research is descriptive analysis by comparing the total inventory (TIC) of EOQ calculation with total inventory cost (TIC) of conventional method. Data analysis techniques in this study uses Economic Order Quantity. The results shows that: (1) CV. Delapan-Delapan has not conducted optimal inventory control method to minimize the cost of economical inventory; (2) By applying EOQ method, the company can save total cost of raw materials of tapioca flour and wheat flour of Rp.17.553.366, - and Rp.11.109.966,- respectively; (3) Optimum raw material quantities for tapioca flour and wheat flour at CV. Delapan-Delapan are 1.441 kg and 1.177 kg, the amount of safety stock of tapioca flour and wheat flour is 1.026 kg and 703 kg, and (5) the company must do the re-order point when the quantity of raw material of raw tapioca flour and wheat flour in the warehouse has reached the amount of 1.199 kg and 811 kg respectively.Keywords: Total Cost Inventory, Re Order Point, Safety Stock, Economic Order Quantity

EVALUASI PENGENDALIAN PERSEDIAAN BAHAN BAKU DENGAN METODE MATERIAL REQUIREMENT PLANNING PADA HOME INDUSTRYSARANA BERSIH “LIMA”

The purpose of this study is to determine the results of Raw Material Inventory Control evaluation with Material Requirement Planning method in May 2014, so the company Home Industry Sarana Bersih " Lima "can minimize inventory costs. Analysis tool used is a method of inventory control with materials requirement planning (MRP) engineering approach. MRP method is a mathematical method or technique that is used to assist managers in making decisions regarding the amount of inventory, production planning schedule, the schedule ordering, and inventory costs. Based on the analysis by using the method of Material Requirement Planning it can be seen that the results of the cost incurred by the company on the stock in May is 1.220.000 rupiah. There are savings of 293.400 rupiah of the total cost of 1.513.400 rupiah.Keywords: Inventory, Inventory control, Material Requirement Planning.

ANALISIS PENGENDALIAN PERSEDIAAN BAHAN BAKU PLAT BESI INDUSTRI KAROSERI MENGGUNAKAN METODE EOQ (Studi Kasus Pada PT. MISITAMA)

This study aims to analyze the optimal usage volume of iron raw plates required by PT. Misitama for the period of 2017. PT. Misitama is a company engaged in the field of tank manufacturing industry for the needs of manufacturing and mining industries. The study analyzed the total cost of Iron Iron raw material supply which must be used by PT. Misitama during 2017, analyzing reorder point, safety stock and raw material inventory control using EOQ method. The data used is the data of September 2017 - October 2017. The data used is secondary data derived from corporate data. The results show that the amount of raw material purchases during 2017 if using the EOQ method becomes lower. The optimal purchase of raw materials to be done by the company in 2017 is 14.8 m2 with the frequency of ordering to be done as much as 8 times. The quantity of safety stock (Safety Stock) that must be available in warehouse of 7 m2 and reorder point (reorder point) EOQ that is when the warehouse inventory is only 8.88 m2. Total inventory cost for production process issued by PT. Misitama by using EOQ method becomes smaller than the total cost of previous inventory.

Analisis Pengendalian Persediaan Bahan Baku Melalui Penerapan Economic Order Quantity (EOQ) pada PT Andini Megah Sejahtera Cabang Bogor

The purpose of this research are to learn about material inventory control in PTAndini Megah Sejahtera, to learn about inventory calculation metodh by usingEconomic Order Quantity (EOQ) metodh and to learn comparisation above totalinventory cost by total calculation of EOQ. This research approaching bydescriptive quantitattive and using data collection technique through interview,observation and librarian overview. The result of this research will describe thatmaterial inventory control in PT Andini Megah Sejahtera was not effetivebecause there is over-stock of raw material storage so that total inventorycalculation were high. Therefore, by using EOQ metodh total calculation of theinventory are lower than before using EOQ metodh.Keyword : Inventory, Raw material,and Economic Order Quantity

ANALISIS PENGENDALIAN PERSEDIAAN BAHAN BAKU PADA UD. MIE STEVEN KAROMBASAN KOTA MANADO

This research aims to analyze raw material inventory at UD. Mie Steven. This research was conducted for four months from January to April 2017. The data used in this research are primary and secondary data. Primary data obtained through interviews with the company, while secondary data obtained from data that has been compiled in the form of documents from the company, data from BPS, previous research or from the internet. The data is processed using EOQ (Economic Order Quantity) method. The result of the research is known that the policy of raw material inventory control is done by UD. Mie Steven is not efficient yet. This is shown by the company's inventory cost is bigger than the result of analysis using EOQ method is 6,693 Kg with total cost of economical inventory Rp.11.325.500.

Pengendalian Persediaan Bahan Baku Oli Untuk Mesin Diesel Tipe G4J-801, G5J-801 dan G7J-801 di PT. Hansan Asembling – Malang

Inventories of raw materials is one of the most important elements in the company's operations are continuously must be obtained, processed and resold. The raw material is meant for the smooth running of production operations set. So, we need an optimum inventory levels to meet the needs of both the quantity, quality and time at a low cost. For that we need a system of planning and inventory control are best - well, that inventories of raw materials should be defined and calculated correctly and accurately in order to obtain a low total cost of inventory that can minimize the cost of production. Forecasting approach is expected to represent the number of actual demand in the coming period. Based on the number of requests of forecasting results can be determined raw material inventory control. By using EOQ then firms will be able to minimize the cost of raw material supplies of oil. Companies should pay attention to the order of recording historical data of oil, classification of costs - the cost of orders and storage costs, because such data is necessary to obtain optimal results inventory control.

Pemodelan perhitungan biaya pengadaan persediaan bahan baku menggunakan metode EOQ di perusahaan kosmetika

Background: The process of procurement of supplies is a very important in manufacturing company, without supplies, the company will face a difficult continuity of the production process. Aim: This research is to compare the amount of raw material purchase, frequency of purchase of raw materials, the frequency of delivery of raw materials, and the total cost of procurement of raw material inventories carried out using traditional methods and modeling methods EOQ in Cosmetics Company. Method: Data were collected using the data of the company in 2014-2015 and interviews with the owners and employees of the Company Cosmetics. Results: From this research is obtained the comparison of traditional methods and modeling EOQ ie the amount of raw material purchases in one message 1000kg: 8.440kg increased by 8.44 times, frequency of purchase of raw materials 24: 6 times, frequency of delivery of raw materials 24: 6 times. Conslusions: Total savings cost of raw material inventory control 70% of the total cost of procurement of raw material inventory by the company using traditional methods.

Analysis Of Use Of Forecast And Methods Economy Order Quantity On Controlsphc Material Supplies Po 3.6 X 107 X 1219 At Pt. Rachmat Perdana Adhimetal

Material Inventory Control Analysis SPHC PO 3.6 X 107 X 1219 uses the Forcast Methode and Economic Order Quantity which is more advantageous, as the cost element of two-wheeled Automotive Production, by PT. Rachmat Perdana Adhimetal (RPA). The research method used is Library Studies (Library Research) and Field Studies (Field Research). Collecting data directly to the field using data collection techniques in Interview (Interview) and Observation (Observation) directly on RPA in Jakarta. The data that have been collected is analyzed by using forecast method and Eqonomy Order Quantity. The result of analysis shows that the use of economic order quantity method is more optimal and economical than forecast method which has been the company policy. A more effective and efficient calculation is evidenced by the difference in the calculation of Total Inventory Cost (TIC) between the Forecast method of the firm and the Economy Order Quantity method, can be seen from the difference in inventory cost savings in 2014 of Rp. 11.403.262, - in 2015 amounting to Rp. 10,609,395, - and in 2016 for Rp. 11.025.205, -. Keywords: Forcast, Economic Order Quantity, Full Costing, Job Order Costing Method

Development of A Web-Based Information System for Material Inventory Control: The Case of An Automotive Company

Inventory control is controlling the materials movement to fulfill the requirements. The materials can from the direct and indirect materials. the indirect materials are the materials that cannot be calculated according to the bill of materials. Indirect materials need safety stocks, so the requirements can always be fulfilled, means it need the control and monitoring of their levels. To control the movement of the materials, each department have roles to control and information that need to be shared. PT XYZ is an automotive assembler company, the company need a tool to control the indirect materials inbound and outbound and control its stock. This research is to have the tool that will be a web-based program because to share the information throughout the department of planning, production, and logistics. In developing and implementing the program itself, the RUP methodology is used to guide in doing this research with having four phases and activities that support the research. The result is the program itself have been successful to fulfilled the user requirements. The program shows the real time information for the levels of the materials and also the inbound and outbound of the materials for the user to monitor its levels.

Analisis Pengendalian Persediaan Bahan Baku Menggunakan Metode Min-Max (Studi Kasus PT.Djitoe Indonesia Tobacco)

<p><em>Inventories of raw materials are the company's current assets used for production activities at the company. Companies need to do the inventory control because it affects the smooth production process. A shortage can lead to disruption of the production process. While excess inventory can lead to waste because companies need to spend more capital for inventory costs. The purpose of this study to determine whether the PT. Djitoe Indonesia Tobacco has made raw material inventory control appropriately. Raw material inventory control methods used in this study are a min-max stock. This method determines the amount of safety stock, minimum stock, maximum stock and order quantity. After doing research, PT. Djitoe Indonesia Tobacco excess raw material inventory. Total inventories are controlled using the min-max stock produces more efficient results when compared to the amount of the final inventory of the company. With min-max method the company is able to economize IDR 700,000 for each period.</em></p>

THE IMPORTANCE OF RAW MATERIALS INVENTORY SUPERVISION FOR PRODUCTION PROCESS

This paper describes the importance of the raw materials Inventory supervision for production process. The concepts described in this paper was studied using the descriptive theoretical analysis. It is concluded that (1) Raw Materials Inventory control is highly needed by both small and big companies to take care of the production process stabilization; (2) The production process will find problems when there is no good control of the Inventory. This causes anstable production process effecting finnace of the companies. The long period of materials inventory causes campany loss. On the other hand, small amount of inventory will also cause the production processes stop. Such situation will also influence marketting and the supply to the consumers; (3) Unstable producation process will cause unstable product supply in the market, and (4) To ensure that the consumers’ needs are continuously completed, control of the raw materials inventory needs to be done and maintained.

THE IMPORTANCE OF RAW MATERIALS INVENTORY SUPERVISION FOR PRODUCTION PROCESS

This paper describes the importance of the raw materials Inventory supervision for production process. The concepts described in this paper was studied using the descriptive theoretical analysis. It is concluded that (1) Raw Materials Inventory control is highly needed by both small and big companies to take care of the production process stabilization; (2) The production process will find problems when there is no good control of the Inventory. This causes anstable production process effecting finnace of the companies. The long period of materials inventory causes campany loss. On the other hand, small amount of inventory will also cause the production processes stop. Such situation will also influence marketting and the supply to the consumers; (3) Unstable producation process will cause unstable product supply in the market, and (4) To ensure that the consumers ’ needs are continuously completed, control of the raw materials inventory needs to be done and maintained.

Effect of product mix on multi-product pull control

Product mix influences the performance of pull production control strategy in multi-product manufacturing systems. The complexity of product mix on the performance of a manufacturing system is primarily based on the characteristics of the demand and production control strategies. Demands are mainly characterised by volume and product-type while production control strategy is characterised by material release time, part flow, inventory control and throughput times. In multi-product systems, pull production control strategy operates dedicated or shared Kanban allocation policy. This paper examines the performance of the Generalised Kanban Control Strategy (GKCS), Extended Kanban Control Strategy (EKCS) and Basestock Kanban-CONWIP (BK-CONWIP) control strategy operating Shared Kanban Allocation Policies (S-KAP) or Dedicated Kanban Allocation Policies (D-KAP) for a healthcare parallel/serial assembly line with setup times. A simulation based multi-objective optimisation technique was adopted to examine the effect of different product mixes on the strategies and policies. A ranking and selection technique for multiple systems was used to screen the performance of the strategies. It was shown that product mix variability in a system influence the inventory levels of the pull control strategies examined. However, the performances of the strategies vary with strategies operating S-KAP having better inventory control than strategies operating D-KAP. Similarly, BK-CONWIP outperformed its alternatives.

Penerapan Metode Extreme Programming Pada Sistem Informasi Pengendalian Bahan Baku Produksi

Manufacturing companies, especially those engaged in the food processing machinery industry, often have problems. The raw material inventory control system in data processing is still not optimal due to the use of paper. Design and build a raw material inventory control system that is very necessary in the company to carry out the process of controlling raw material inventory. This computerized raw material control system proposes to make it easier to record data for admin and warehouse officers in supervising the recording and releasing of raw materials from the warehouse. The development of this production reporting information system uses the Extreme Programming (XP) method. System modeling using unified modeling language (UML), data modeling using entity relationship diagrams (ERD), and system design using windows navigation diagrams (WND) and interface design. Making this raw material inventory control system application using PHP with CodeIgniter and MariaDB frameworks. This Raw Material Inventory Control System is expected to make it easier for companies to record raw material data more precisely, quickly, and well supervised and can anticipate the occurrence of human errors in the PPIC division, especially for the warehouse section.