scholarly journals Prediction of Safety Stock Using Fuzzy Time Series (FTS) and Technology of Radio Frequency Identification (RFID) for Stock Control at Vendor Managed Inventory (VMI)

2018 ◽  
Vol 31 ◽  
pp. 11005 ◽  
Author(s):  
Chamdan Mashuri ◽  
Suryono Suryono ◽  
Jatmiko Endro Suseno
Keyword(s):  
Time Series ◽  
Information System ◽  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Fuzzy Time Series ◽  
Vendor Managed Inventory ◽  
Safety Stock ◽  
Stock Control ◽  
Frequency Identification ◽  
Universe Of Discourse

This research was conducted by prediction of safety stock using Fuzzy Time Series (FTS) and technology of Radio Frequency Identification (RFID) for stock control at Vendor Managed Inventory (VMI). Well-controlled stock influenced company revenue and minimized cost. It discussed about information system of safety stock prediction developed through programming language of PHP. Input data consisted of demand got from automatic, online and real time acquisition using technology of RFID, then, sent to server and stored at online database. Furthermore, data of acquisition result was predicted by using algorithm of FTS applying universe of discourse defining and fuzzy sets determination. Fuzzy set result was continued to division process of universe of discourse in order to be to final step. Prediction result was displayed at information system dashboard developed. By using 60 data from demand data, prediction score was 450.331 and safety stock was 135.535. Prediction result was done by error deviation validation using Mean Square Percent Error of 15%. It proved that FTS was good enough in predicting demand and safety stock for stock control. For deeper analysis, researchers used data of demand and universe of discourse U varying at FTS to get various result based on test data used.

scholarly journals Penerapan Metode Economical Order Quantity Untuk Sistem Stok Barang Penggudangan dengan menggunakan teknologi Radio Frequency Identification

2017 ◽  
Vol 7 (1) ◽  
pp. 59
Author(s):  
Teddy Istanto
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Raw Materials ◽  
Raw Material ◽  
Order Quantity ◽  
Safety Stock ◽  
Reorder Point ◽  
Material Usage ◽  
Frequency Identification ◽  
Radio Frequency Identification Technology

The application of Economical Order Quantity method to stock warehouse system by using Radio Frequency Identification technology can provide information that can minimize stock availability in real time.  The research aims to develop the stock system using the methods of Economical Order Quantity, Reorder Point and Radio Frequency Identification technology. Computation of Economical Order Quantity is used per month with variables covering amount of raw material, ordering cost and storage cost. Reorder Point computation using lead time variable, raw material usage and safety stock. Safety stock is used if there is a delay in delivery of goods from suppliers, so it does not run out of raw materials and the company can still operate. The inventory data is obtained from transactions of incoming and outgoing goods which are recorded automatically when passing through Radio Frequency Identification reader. The computation of Economical Order Quantity, Reorder Point produces safety stock as output stock system. With the stock of goods in accordance with the fulfillment of Safety stock, then there is no delay in the delivery of goods from suppliers, so it does not run out of raw materials, after determination of the value of re-ordering.

scholarly journals Rule Based Reasoning Untuk Monitoring Distribusi Bahan Bakar Minyak Secara Online dan Realtime menggunakan Radio Frequency Identification

2017 ◽  
Vol 7 (1) ◽  
pp. 39
Author(s):  
Mokhamad Iklil Mustofa
Keyword(s):  
Radio Frequency ◽  
Monitoring System ◽  
Radio Frequency Identification ◽  
Fuel Oil ◽  
Computer Application ◽  
Rule Base ◽  
Rule Based ◽  
Safety Stock ◽  
Frequency Identification ◽  
Radio Frequency Identification Technology

The scarcity of fuel oil in Indonesia often occurs due to delays in delivery caused by natural factors or transportation constraints. Theaim of this  research is to develop systems of fuel distribution monitoring online and realtime using rule base reasoning method and radio frequency identification technology. The rule-based reasoning method is used as a rule-based reasoning model used for monitoring distribution and determine rule-based safety stock. The monitoring system program is run with a web-based computer application. Radio frequency identification technology is used by utilizing radio waves as an media identification. This technology is used as a system of tracking and gathering information from objects automatically. The research data uses data of delayed distribution of fuel from fuel terminal to consumer. The monitoring technique uses the time of departure, the estimated time to arrive, the route / route passed by a fuel tanker attached to the radio frequency Identification tag. This monitoring system is carried out by the radio frequency identification reader connected online at any gas station or specified position that has been designed with study case in Semarang. The results of the research covering  the status of rule based reasoning that sends status, that is timely and appropriate paths, timely and truncated pathways, late and on track, late and cut off, and tank lost. The monitoring system is also used in determining the safety stock warehouse, with the safety stock value determined based on the condition of the stock warehouse rules.

scholarly journals Rule Based System for Medicine Inventory Control Using Radio Frequency Identification (RFID)

2018 ◽  
Vol 31 ◽  
pp. 11016
Author(s):  
Joanna Ardhyanti Mita Nugraha ◽  
Suryono Suryono ◽  
dan Jatmiko Endro Suseno
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Drug Users ◽  
Mean Deviation ◽  
Rule Based ◽  
Safety Stock ◽  
Rule Based System ◽  
Reorder Point ◽  
Abc Classification ◽  
Frequency Identification

Rule based system is very efficient to ensure stock of drug to remain available by utilizing Radio Frequency Identification (RFID) as input means automatically. This method can ensure the stock of drugs to remain available by analyzing the needs of drug users. The research data was the amount of drug usage in hospital for 1 year. The data was processed by using ABC classification to determine the drug with fast, medium and slow movement. In each classification result, rule based algorithm was given for determination of safety stock and Reorder Point (ROP). This research yielded safety stock and ROP values that vary depending on the class of each drug. Validation is done by comparing the calculation of safety stock and reorder point both manually and by system, then, it was found that the mean deviation value at safety stock was 0,03 and and ROP was 0,08.

An Application of Radio Frequency Identification (RFID) Based on Time Series Modeling in Electrode Foil Stereoscopic Warehouse

2013 ◽  
Vol 303-306 ◽  
pp. 1301-1304
Author(s):  
Hong Ning ◽  
Xue Feng Zheng
Keyword(s):  
Time Series ◽  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Aluminum Foil ◽  
Time Series Modeling ◽  
Frequency Identification ◽  
The Right ◽  
Working Efficiency

The radio frequency identification (RFID) based on time series modeling were introduced into electrode foil stereoscopic warehouse for increasing the working efficiency. The aluminum foil, etched foil and the formed foil, which were the materials in stereoscopic warehouse, could be expressed as time series formation in order to find the right foil volume precisely in the shortest time.

scholarly journals Tracking possibilities in the poultry sector – a review

2010 ◽  
Vol 53 (3) ◽  
pp. 328-336 ◽  
Author(s):  
Á. Tóth ◽  
K. Kovácsné Gaál ◽  
Z. Turcsán ◽  
N. Ásványi-Molnár ◽  
B. Ásványi ◽  
...  
Keyword(s):  
Information System ◽  
Food Safety ◽  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Full Scale ◽  
Individual Marking ◽  
Radiofrequency Identification ◽  
Frequency Identification ◽  
The Individual ◽  
Cross Compliance

Abstract. In accordance with the regulations, the Cross Compliance law in Hungary is estimated to be put into practice from 2009, with which the tracking, registration and marking of animals, furthermore the food safety will receive a more elaborated role. That is why we provide a full-scale review of traceability opportunities of the poultry sector. The Poultry Information System (PIS) could create a more perspicuous poultry sector, however, its extremely high need of administration is an obligation hard to put up with for the breeders. The means of bird marking, such as the use of leg bands, wing tags, nasal markers, and the individual marking with transponders, based on radio-frequency identification were developed in order to overcome the growing need of complying the rules of food safety. The most up to date mean of marking in the poultry sector is the RFID (radiofrequency identification) technology.

EPCIS Implementation and Customization for Automotive Industry

2014 ◽  
Vol 718 ◽  
pp. 131-136
Author(s):  
Filip Benes ◽  
Jiri Svub ◽  
Pavel Stasa ◽  
Vladimir Kebo ◽  
Jakub Unucka
Keyword(s):  
Information System ◽  
Czech Republic ◽  
Research And Development ◽  
Radio Frequency ◽  
Automotive Industry ◽  
Radio Frequency Identification ◽  
First Year ◽  
The Czech Republic ◽  
Frequency Identification ◽  
The Common

The article deals with the possibilities and advantages of implementing radio-frequency identification technology (hereinafter referred to as “RFID”) and the electronic product code information system (hereinafter referred to as “EPCIS”) in manufacturing facilities in the Czech Republic. It describes the common efforts of many partners aimed at establishing and implementing a customized system supporting members of the logistics and manufacturing chain, in particular, in the automotive industry. The article describes research and development in the field of EPCIS systems and experience of a RFID laboratory in the field of EPCIS, summarizing the steps achieved in the first year of the project.

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