Arge Bilisim
@rgeTRACE includes all modules of production management software,it is a real-time production management software with rich reporting
It has been developed specifically for sectors where traceability is very important, such as food and agriculture.
@rgeTRACE has very strong productivity measuring, OEE measuring, quality measuring, real-time production tracking, premium systems, machine maintenance and repair, predictable maintenance, planning and cost modules.
@rgeTRACE ,with the help of the equipement developed by Arge bilişim based on barcode and RFID works in real-time. In fact; real-time productivity measurement, real-time OEE measurement, real-time quality measurement, production tracking, premium systems, machine maintenance and repair and predictable maintenance modules are also working in real-time.
Can be shaped by @rgeTRACE consultant, hardware and software team according to customer needs.
@rgeTRACE is an easy-to-use, user-friendly production management software.
Traceability is the identification of each product with a unique ID for transparency purposes, so that process, raw material and quality sources can be recorded and reported back. With ArgeMAS, the process, raw material and quality source of the product can be monitored. In this way, a traceable production is carried out.
Efficiency is the ratio of labor converted to an intermediate or product to the spent labor metric. To improve efficiency, productivity is measured in real time with ArgeTRACE.
Time wasted due to reasons not caused by the operator but by the factory is called wasted time. It is measured with the aim of improving efficiency and it is tried to be minimized.
Performance is the measurement that gives the workforce metric that could be converted to work if there were no lost time despite the labor expended. In order to improve performance, performance should be measured in real time with ArgeMAS.To improve performance,it should be measured in real time.
It is the 100% quality control made at the end of the process. It works to prevent the defected product from going to the next process.
It is the 100% quality control made at the end of production. It is a type of quality control that aims to prevent the wrong product from entering the package.
It is a type of quality control made on randomly selected samples to prevent the continuation of the systematic error, if any, in the process.
It is the quality control performed at the end of production and after the product is packaged and boxed, by opening the boxes in the form of directed probability sampling. It is done to prevent the customer from receiving the defective product.
First material quality control is carried out before these processes and the defected one is sorted out so that especially the bottleneck does not go to the process and cause waste by occupying the process.
Line entries and exits can be tracked in real time on the basis of color and size for each order. In addition, when contract manufacturing is made, the quantity and quality data of the contract manufacturer are also collected and reported over the internet.
With the machine failure tracking module, it is aimed to minimize the pose of the machines due to malfunctions. Machine maintenance is the module where machine maintenance is planned and its implementation is monitored.
It is the automatic sending of the maintenance need notification, if any, to the technical service personnel, even the machines maintenance time didn't come yet. The purpose of predictive maintenance is to prevent deterioration in quality and to prevent loss of productivity by minimizing machine stoptime.
It is the module used for accurate measurement of operation standard times.
Efficiency, performance, quality, bonus etc. reports are obtained by using web and mobile hardware.
It is a software service for the integration of @rgeMAS and other softwares used by the company.
It is the metric that shows the effective usage rate of the machines. It is a module developed to improve the effective use of machines.
It is the module used for universal accuracy measurement, optimization and standardization of operation standard times.
It is the module used to detect the sources of inefficiency. To increase the efficiency and quality of the operator, one-on-one work is called follow-up. With this module, follow-up is applied and reported.
It is a sophisticated planning tool developed using data sciences for the purpose of improving efficiency and quality. It installs the best lines and is a module that prevents the line's efficiency from dropping dramatically in case of absence.
If a profit income above the target profit is obtained from the employees, sharing a part of the earnings above the target profit with the employee is called 'giving a bonus'. Encouragement with bonus is used to improve efficiency and quality.
It can be defined as a module of equal pay for equal talent and work by classifying each operator according to their abilities. It aims for fair remunerations for the employees.
Arge Scheduling has been developed to easily plan even very complex production processes. With this module of ArgeMAS, you can create as many scheduling scenarios as you want and turn them into real charts.