A genetic algorithm for vendor managed inventory control system of multi-product multi-constraint economic order quantity model

2011 ◽  
Vol 38 (3) ◽  
pp. 2708-2716 ◽  
Author(s):  
Seyed Hamid Reza Pasandideh ◽  
Seyed Taghi Akhavan Niaki ◽  
Ali Roozbeh Nia
IJAcc ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 132-139
Author(s):  
Erna Astriyani ◽  
Desy Apriani ◽  
Meri Mayang Sari

The system that is currently running in recording inventory at PT Berlina Tbk Tangerang is considered ineffective and efficient because it still uses paper and the process of inputting and recapping goods data is semi-computerized in Microsoft Excel. which causes problems, namely too much stock of goods so that it increases the load in the warehouse and too little stock of goods which results in an exhaustion of stock in the warehouse. To solve this problem, we need an inventory control information system. The method of analysis uses the EOQ (Economic Order Quantity) method. For the system design process using sublime as the writing language and programming PHP, and XAMPP as localhost, the database uses MySQL. This study aims to design an inventory control system in the HRD department at PT Berlina Tbk Tangerang, and to make it easier for the HRD Department to input and create inventory reports. With this research, it can produce an inventory control system design that is more effective and efficient and can find out the storage costs in the warehouse. From the calculation of the EOQ method, it is found that it is 20% smaller than the previous storage and the total cost of ordering in a year is 2x orders. Thus, it means that there is a very real difference between the inventory policies implemented by the company and the EOQ method.


2020 ◽  
Vol 8 (2) ◽  
Author(s):  
Kun Ismawati

This research aims determine the effectiveness of merchandise inventory control system at CV. Berkat Abadi Solo by using the method of economic order quantity, reoder point and safety stock. Data collection techniques used are interviews and documentation. Data analytical technique by using descriptive quantitative. The methods used in this research were economic order quantity, reoder point dan safety stock. The results of this study can be concluded that the control effectiveness inventory of merchandise at CV. Berkat Abadi Solo reviewed from the economic order quantity, reoder point dan safety stock method was still not achieved.


IJAcc ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 132-139
Author(s):  
Erna Astriyani ◽  
Desy Apriani ◽  
Meri Mayang Sari

The system that is currently running in recording inventory at PT Berlina Tbk Tangerang is considered ineffective and efficient because it still uses paper and the process of inputting and recapping goods data is semi-computerized in Microsoft Excel. which causes problems, namely too much stock of goods so that it increases the load in the warehouse and too little stock of goods which results in an exhaustion of stock in the warehouse. To solve this problem, we need an inventory control information system. The method of analysis uses the EOQ (Economic Order Quantity) method. For the system design process using sublime as the writing language and programming PHP, and XAMPP as localhost, the database uses MySQL. This study aims to design an inventory control system in the HRD department at PT Berlina Tbk Tangerang, and to make it easier for the HRD Department to input and create inventory reports. With this research, it can produce an inventory control system design that is more effective and efficient and can find out the storage costs in the warehouse. From the calculation of the EOQ method, it is found that it is 20% smaller than the previous storage and the total cost of ordering in a year is 2x orders. Thus, it means that there is a very real difference between the inventory policies implemented by the company and the EOQ method.


2021 ◽  
Vol 9 (01) ◽  
pp. 43-47
Author(s):  
Cindy Anindya Puspadev

Pizzahut Setiabudi Semarang is a middle class restaurant in Indonesia that serves pizza, pasta and also various kinds of food. The process of recording stock inventories at Pizzahut Setiabudi currently still uses manual recording on books, both incoming and outgoing materials. In addition, the procurement process for raw material stock only uses estimates, this can lead to excess stock in the warehouse or actually experience a stock shortage which can later hamper the operational process of the business. In this research, we build a raw material inventory control system to help restaurants manage material stock data using the Economic Order Quantity (EOQ) method. EOQ is a method used to optimize the purchase of raw materials that can reduce inventory costs so that the efficiency of material inventory in the company can run well.


2018 ◽  
Vol 2 (3) ◽  
pp. 768-774
Author(s):  
Stela Veranita Anwar ◽  
Mercurius Broto Legowo

Tujuan dari penelitian ini adalah penerapan metode Economic Order Quantity (EOQ) pada perancangan aplikasi inventory control system untuk mengendalikan persediaan barang pada studi kasus di Bagian Gudang Sudin Damkar wilayah Jakarta Selatan. Penelitian ini dilakukan adanya berbagai permasalahan pengendalian persediaan, seperti: pengendalian persediaan yang tidak ekonomis, stok yang tidak aman, serta pemesanan  kembali yang sulit. Kemudian, untuk menyelesaikan berbagai masalah dalam pengendalian persediaan ini, perlu menerapkan metode EOQ dalam aplikasi sistem kontrol persediaan. Perancangan aplikasi sistem dalam penelitian ini dengan menggunakan pendekatan Unified Modeling Language (UML).Hasil penelitian produk terapan ini  adalah suatu aplikasi sistem yang mempermudah para pengguna sistem untuk dapat mengendalikan persediaan yang dimiliki dengan cepat, mudah dan akurat dan menghasilkan suatu laporan secara grafis yang sangat membantu dalam pengambilan keputusan. Aplikasi sistem ini diharapkan akan menjadi alat yang sangat berguna untuk pengendalian persediaan secara optimal.


2015 ◽  
Vol 3 (2) ◽  
Author(s):  
Vipul Chalotra

The present research divulges the different inventory control techniques used small scale cements enterprises operated by small scale entrepreneurs through the assistance of primary data collected from eight small scale cement enterprises operating in SIDCO & SICOP, under DIC (District Industries Center) in District Udhampur of Jammu & Kashmir State. The various inventory control techniques identified and quested for in the research were: Always Better Control (ABC), Economic Order Quantity (EOQ), Material Requirement Planning (MRP), and Just-in-Time (JIT). The results of the ranking table quoted that Economic Order Quantity (EOQ) was awarded first rank by almost all the units representing overall mean score of 1.71, Always Better Control (ABC) was denoted by rank two repressing overall mean value as 2.00, Material Requirement Planning (MRP) was quoted rank three as depicted by its mean ranking (2.25), and Just-in-time (JIT) was accorded rank four (3.71) by almost all the small scale cements entrepreneurs/owners.


2017 ◽  
Vol 13 (3A) ◽  
pp. 251
Author(s):  
Megawati ., Sengkeunaung ◽  
Tommy F. Lolowang ◽  
Nordy F.L. Waney

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.


Author(s):  
Thukas Shilul Imarah ◽  
Roni Jaelani

The study aims to test the effectiveness of the implementation of several inventory control methods to improve the smooth operation in a trading company of industrial equipements components that have difficulty in maintaining inventory data accuracy, inventory shortages and in other hand excess unrequired inventory. The research data used is taken from the ERP report data and manual reports created by the perpetrators of the operational activities of the Inventory Control for the period 2016 - 2018. The sampling method used is purposive sampling of the product sales data in years 2016 – 2018  as much as 2498  Stock  Keeping Unit (SKU) which is then  processed using the method of ABC analysis and  FSN (Fast Moving, Slow Moving and None Moving) analysis to get  10  SKUs that belongs to the category A and  F (Fast Moving) group as a sample of research. The research method uses the Quantitative method with the use of ABC analysis, Forecasting and Economic Order Quantity. The results shows that the implementation of ABC analysis effectively reduced the workload of periodic counting and is able to improve data accuracy to be higher level. The exponential smoothing forecast method shows the least gap to the actual value and EOQ effectively optimizes ordering and holding costs and reduces the risk of failure in Inventory Control and positively affects the smoothness of the operation process.


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