It is an approach structured for the strategic planning of Industry 4.0 standards in order to evaluate the current situation of companies, identify areas for improvement and make evaluations.

It is an assessment tool to measure whether industries are ready for Industry 4.0 transformation, if so, how ready they are and where they are in this process.

It is used to identify how and to what extent industries are adopting smart manufacturing systems, how effectively they are being used and potential areas for improvement.

It is used to determine where an industry is in the digital transformation process, identify weak points and assess opportunities for improvement.

Arge Bilişim uses technology as a key to add value to customers and give them the ability to create fast action plans according to changing conditions. It manages the process of creating a measurable, manageable and sustainable business model by serving companies on the way to becoming a human-independent company that can manage from anywhere.

A measurable structure must be created to achieve success. “What cannot be measured cannot be managed”. Arge Bilişim, using technology as a tool, ensures the correct application of technology and creates a road map for companies.

Arge Bilişim performs digital maturity transformation analysis in companies and prepares action plans according to the results of the analysis.

The processes carried out to obtain information for a purpose are called data collection.

Arge Bilişim, @rgeRover, @rgeHypatia, @argeMaster, which it has created with its own software and hardware team, enables the collection of all the desired data within the company by using hand terminals together with industrial PC and PLC devices.

The data obtained with @rgeRover and @rgeHypatia devices are delivered to the server with @rgemasters, and the first step of measurability and traceability is completed.

In labor-intensive sectors;

1. Operator recognition
2. Operation recognition
3. Number of operations
4. Order recognition, model recognition
5. Material recognition, quality controller recognition, defect location, control score, defect type and score
6. In-line quality controller recognition
7. Recognizing the end-of-line quality controller
8. Final quality controller recognition
9. Process and/or line change
10. To and from outsourcing
11. Machine lost time type, lost time, production quantity, quality (measuring OEE)
12. Machine breakdown, maintenance and predictive maintenance
13. Measurement of energy used
14. Data collection procedures are carried out on requests to meet with senior management.

Data Collection Methods

In labor-intensive sectors;

Barcode

QR Code

RFID

Digital or pushbutton

Manual (keypad)

Touch screen

Analog data collection. Provided by data collection methods (for predictive maintenance)

It is an important tracking system for monitoring production processes, quality control, and evaluating the performance of machines. This helps businesses optimize their production processes and improve efficiency. By providing real-time information through a data collection system, it accelerates decision-making processes and enables businesses to gain a competitive advantage.

Arge Bilişim measures the OEE (Overall Equipment Effectiveness) of machines by transferring data collected from machine sensors to @rgeRover via a server through its data collection system. The machine's operating status, stoppages, downtime, and production quantities are monitored in real time. This measurement serves as a critical tool for companies to monitor production line performance, identify losses, and define improvement opportunities. Arge Bilişim's data collection system allows for regular monitoring and analysis of machines, enabling strategic decision-making to increase efficiency.

Arge Bilişim is dedicated to improving efficiency and quality through the systems it establishes in factories, offering software, hardware, and consultancy services. Arge Bilişim treats each factory as a unique project, developing and implementing a customized production philosophy tailored to the specific needs of each factory.

Arge Bilişim provides MES system consultancy through modules such as human resources, quality, cutting, material control, machine tracking, orders, bonuses, production, efficiency, and OEE. It also offers ERP system consultancy through modules such as warehouse, material planning, cost, purchasing, inventory, sales, and counting. Arge Bilişim develops technical solutions and implements the appropriate technique at the right time for companies.

The Arge Bilişim Consultancy team approaches application consultancy by analyzing and handling each project objectively and in alignment with the company's foundational elements. Rather than imposing its own ideas, the goal is to involve the company in the process, ensuring it takes ownership of the project. The focus is on integrating the company's knowledge and insights with Arge Bilişim’s thoughts and ideas

The realities of each situation can vary depending on the circumstances at the moment. Arge Bilişim, through its ERP & MES consultancy services, provides the ability and freedom to use accurate, real-time data in the right place.

Arge Bilişim closely follows production trends such as Lean Manufacturing and Industry 4.0, selecting the techniques best suited to factories or processes. It blends these techniques with its own production methods and implements them effectively.

With its consultancy services, Arge Bilişim establishes a work and methods development department within the factory. It equips this department with skills to improve efficiency and quality. Upon project completion, it provides the necessary knowledge, skills, and training to ensure the continuous improvement of efficiency and quality.

Issues that hinder production are referred to as lost time by the organization, and these lost times are factors that lead to waste in the business.

Lost time refers to the duration of production (operation) stoppage when the factory fails to provide the necessary production resources, such as capital (machines), materials, or energy, to the operator.

Examples of lost time include:

• Machine breakdowns
• Waiting for work
• Power outages, etc.

While lost times do not affect organizational productivity (efficiency), they do impact individual productivity (performance).

Arge Bilişim enables the measurement and management of lost times within the organization through data collection devices such as @rgeRover, @rgeHypatia, @argeMaster, industrial PCs, PLC devices, and handheld terminals.

Together with the Arge Bilişim Consultancy team, the types of lost time encountered in the organization are identified, and data entries are made into the system. If an operator experiences lost time for any reason, they report the start of the lost time via a keypad or RFID cards, and the warning lights on @rgeRover start to flash.

Thanks to these warning lights, production managers can quickly identify the source of the lost time, which accelerates their response times. Since the lost times can be reported, it is easy to access information about the duration and type of lost time experienced within any desired date range.

Efficiency is the relationship between the outputs of a production system and the inputs required and used to create those outputs. Resources such as labor (workforce), capital, machines, materials, energy, and information are the fundamental building blocks that constitute inputs in production. The effective utilization of these resources expresses efficiency.

Efficiency reflects the contribution of personnel to the organization.

There is no system with 100% or greater efficiency, meaning that a perfect (waste-free) system does not exist on Earth.

Efficiency is defined as the ratio of produced output to the amount of input used to create that output.

Efficiency Formula:

Efficiency=(Actual Minutes / Total Minutes in a Day  ​)×100

(Actual Minutes: The total number of minutes the personnel has produced up to that point.)

(Total Minutes in a Day: The total number of minutes the personnel has worked up to that point.)

As important as measuring productivity is, analyzing measured productivity values also holds significant importance.

With the consultancy services provided by Arge Bilişim, productivity analyses are conducted to help the company achieve its goals and ensure that all units within production progress in a more coordinated manner. These analyses are supported by real-time efficiency and quantity monitoring forms, along with various reports based on operator, operation, quality, and machine performance, with the goal of increasing productivity within companies.

Through collaboration between the Arge Bilişim Consulting team and the work methods development unit, methodical improvements are implemented based on lean production techniques, including 5S and Kaizen practices. Productivity is enhanced by managing bottlenecks through short- and long-term follow-ups based on real-time report outcomes.

The increase in productivity begins with data measurement. Data is recorded in line with provided training, and the current state of the project is measured first. To foster internal motivation among operators, real-time data is displayed on andon boards and TV screens. These screens contribute to visual management, foster healthy competition among personnel, and, in turn, enhance motivation.

Performance can be defined as the level at which a task is completed and the results produced based on the conditions within the organization.

It is calculated by the ratio of lost time experienced during the day to the total available time, yielding productive minutes. Performance reflects the personal productivity of employees. @rgemas enables the measurement and reporting of lost time data, allowing for the calculation and reporting of employees' personal productivity based on lost time metrics.

The primary goal of the Arge Bilişim Consulting team in performance management is to foster a culture of continuous improvement and development of employees' competencies and skills, ensuring that the organization operates with a defined purpose and goal. This also involves identifying resource needs and demonstrating the ability to meet set targets.

Statistical Process Control (SPC)

The goal is to identify the source of quality defects at the operation station, allowing for the detection and correction of defects in semi-finished products before they are completed.

During the quality control procedure, all operations are monitored according to predetermined quantities, such as 7 for AQL 2.5 or 5 for AQL 4. If a defect is found and the count is below a certain threshold, the operator is instructed to make repairs. However, if the count exceeds a specified number, the operation is halted, and the manager is alerted to take necessary precautions.

In double rings, operations where defects were found in the previous ring, along with high-risk operations, are revisited to verify whether the defects have been corrected.

In collaboration with the Arge Bilişim Consultancy team and the work methods development unit, a record is created in the @rgemas program to document all types of defects encountered within the organization, thereby establishing an defects pool.

In statistical (inline) process control, measurement activities are conducted using handheld terminals. The quality personnel first scan the kanban cart in the system, select the operation they will inspect, and begin the inspection according to the quantity defined by their AQL system.

During the inspection, they log any encountered defects using the handheld terminal. Since the system tracks which personnel performed the relevant operation on the inspected kanban cart, inline process reports can be generated based on desired date ranges or filtered by personnel or defect type.

The goal is to prevent defective semi-finished products from moving on to the next process.

During the quality control procedure, the quality control personnel at the end of the line inspect all operations of a product using a clockwise method. If a defect is found, the operator responsible for that operation is instructed to make repairs. Measurements and inspections at the end-of-line control points are conducted using @rgeHypatia.

In collaboration with the Arge Bilişim Consultancy team and the work methods development unit, a record of all types of defects encountered within the organization is created in the @rgemas program, establishing an defect pool.

At the end-of-line quality control, the personnel first identify their personnel card and the operation card to the device, and they do not need to re-scan this data unless changes occur. The kanban cart to be inspected is scanned, and the inspection process for the products inside the cart begins.

If a defect is encountered during the inspection, the type of defect is selected first, and then the operation from which the defect originated is chosen from the job plan list that appears on the screen.

The message field displayed on the screen indicates which personnel performed the operation related to the defect. This allows the defective product to be repaired by the operator responsible for the defect.

Based on the collected data, a wide variety of quality reports can be generated through the system, and operation-based defect analyses can facilitate improvements through Kaizen activities.

What is Time Study?

It is the application of techniques developed with the aim of determining the time required for an

operator who is qualified for the execution of the operation to perform the operation with a defined

performance in order to determine how long the operation can be performed.

1- Stopwatch method;

A sufficient sample of the operation performed with the correct method is measured with a stopwatch.

Tempo is appreciated. The time measured with a stopwatch is cleaned using statistical methods,

averaged and multiplied by the tempo.

Tempo is the speed of the operator during the measurement.

2-With MTM (Methods-Time-Measurement) method;
Method-Time Measurement (MTM) is a procedure that analyzes any manual operation, identifies the basic movements required and assigns a predetermined standard time to each of these movements according to the factors that influence it.

It helps to evaluate the content of the work and to optimize production systems before and during production.

100.000 TMU = 1 Hour
1666,7 TMU = 1 min
27,8 TMU = 1 sec

The work is freed from the tempo discretion, the basic movements are analyzed and the standard time of the work is determined independently of the person.

A standard time value is specified for each basic movement (these times are expressed in TMU).

Since there is no performance evaluation in this method, there is no difference in the predicted times.

@rgeMTM allows to calculate TMU values not only for operation movements and sewing times but also for ironing and drawing times.

Benefits of @geMTM

It can be used in every field.

Before starting the application, it can define the working method and determine the time to be given.

Optimal method can be determined.

It is easy to understand.

No tempo estimation (appreciation) is required.

Time data is universal.

No need to measure time.

 

Fair Wage System

 

The purpose of the fair wage system is to ensure that the salary of the personnel is given with a fair

remuneration in accordance with the criteria determined by the authorities according to their

abilities.

In cooperation with the Arge Bilişim Consultancy team, an evaluation scale is created by creating

main criteria and sub-criteria based on them through the @rgemas web module.

 

Depending on the sub-criteria, there are level definitions, education and seniority definitions,

personnel limit definitions, and operation diversity definitions.

 

According to the fair remuneration system, a competency evaluation report is created with the salary

the personnel previously received, the new salary and the criteria used during the formation of this

new salary, and detailed examination and analysis are carried out on the report.

If an employee earns a profit above the target profit, sharing a portion of the profit above the target profit with the employee is called 'giving a bonus '.

In labor-intensive sectors, productivity and quality in processes are directly proportional to labor performance.

Therefore, an effective workforce performance evaluation and, accordingly, a remuneration and bonus system with consistent, fair and achievable targets should be implemented.

In labor-intensive production, performance evaluation is highly dependent on the performance of employees in producing quality and fast products.

Therefore, accurate and fair performance evaluation should be one of the indispensable management systems in labor-intensive sectors.

There are 3 parties at the basis of the bonus system. All 3 parties should be equal and happy.

1. Employee
2. Investor
3. Factory

The employee should be satisfied and the investor should not be forced.
The implementation of bonus systems that incentivize productivity and quality and increase these parameters is of vital importance for these enterprises.
A bonus system should be both incentive for employees and non-coercive for investors. Since there is a condition of exceeding the target profit point in this bonus system, if the amount to be shared is above the target profit, the employer will not be forced, and the employees will receive a bonus for increasing productivity and quality.
Many studies show that bonus systems directly affect employee performance.
The first step in the model is to determine the break-even productivity point. For this, there is a wage paid to the operator for the time he/she works. On the other hand, there is also a revenue received from the customer per product.
It is expected that employees' share in the profit will increase both personal satisfaction and sense of responsibility.
In addition, quality, like productivity, is used as a bonus parameter.
This means that quality production is as important as efficient production in order to qualify for a bonus.

 

In today's conditions, the competition between markets directs businesses to use facilities and

machinery more efficiently. In order to keep production continuously active, periodic maintenance,

fault detection and repair of machines must be carried out in full time.

 

It is easy to plan for periodic machine maintenance, maintenance is done within a certain target

framework (monthly maintenance, etc.), but it is not possible to plan breakdowns in the same way.

For breakdowns, future-oriented analyzes should be carried out based on past data.

With the @rgemas fault tracking module, it aims to minimize the downtime of machines due to malfunctions.

In this context, all machines in the enterprise are defined in the system. In the event of a malfunction, the operator notifies the technical service department via keypad, barcode or RFID, a task is displayed on the technician's screen or the technical service manager's screen and the manager shares the task with the technicians.
When the technician arrives at the fault station, he notifies the system through the station's data collection terminals (keypad, barcode or RFID). After fixing the fault, he reports it to the system with the same methods. He enters which parts he used and other detailed information.
In this way, both the operator's lost time is entered and the efficiency of the technician is measured. The failure status and history of the machines can be reported in detail.
Various maintenance types and periods are defined for each machine. In case of completion of the period, a task falls to the technician. After performing the maintenance, the technician notifies the system and a detailed report on the machine maintenance status can be obtained.

Arge Bilişim uses machine learning for data collection. @rgeRovers can collect vibration, current, electricity usage, temperature and other analog data thanks to their analog data collection features. Negative situations about these indicators of the machines fall to the technical service department as predictive maintenance. Thus, even if the machine is not due for maintenance, it can be informed of the need for maintenance before a breakdown occurs.

Data science is a branch of science in which data obtained by various methods are analyzed and

made meaningful. Factors such as strategic decision making, competitive advantage, market growth,

productivity increase and customer satisfaction are the main reasons why data science plays an

increasingly important role.

The use of data science in manufacturing serves many purposes such as optimizing production

processes, identifying bottlenecks and line imbalances, identifying unnecessary stock levels,

monitoring product quality, and increasing operational efficiency.

Monitoring and analyzing the data collection processes of enterprises in production improves the decision-making processes of enterprises and enables them to make the right decisions in a shorter time. At the same time, it contributes directly to business efficiency by increasing the quality of the product and the service provided. For this reason, it is important for businesses to collect and process large amounts of accurate data.

@rgemas production system provides the opportunity to process and analyze data with various data collection methods. With our devices (@rgeRover, @rgeHypatia, @argeMaster, industrial PC and PLC devices, handheld terminals) placed at the operation stations of the factories used in data collection, productivity, performance, quality, lost time measurements are made and real-time data collection is provided.

Arge Bilişim processes and uses data by utilizing data sciences with Industry 4.0. While solving these problems, it uses big data analytics, data mining, machine learning and artificial intelligence techniques intensively.

Integration is the process of exchanging data to ensure interactions between many interrelated

systems and applications.

@rgemas performs integration studies to make different software compatible with each other, work

together and exchange data.

On the screen where the integration is made, first of all, it is selected whether an integration will be

made from the package software to @argeMAS or from @rgemas to the package software.

In line with the analyzes made in the follow-up of the consultancy and software team, integration

works between the ERP systems used in the companies and the systems (order integration,

 production confirmation integration, PDKS integration, etc.) are carried out and application trainings

are provided to the companies in the follow-up of the consultancy team.

@rgemas integration with over 30 other ERP and/or accounting software has been realized.

Production confirmation, at the end of the day, the content of the data transferred to the counter software at the end of the day is shown under user control with the confirmation transfer button confirming the output quantities on the relevant lines. Output quantities are reported to the counter software.

Personnel attendance control system including personnel payroll, payroll, advances, absenteeism, overtime, etc. information is available with Attendance Management.

Thanks to order integration and production confirmation integrations, a wide range of information such as production order (work order), model, season status, customer code, customer name, customer order no, customer model no, order date, production start date, delivery date, currency, unit price are integrated into the system.

Applications of solving problems in manufacturing with big data analytics, data mining, machine learning and artificial intelligence techniques
Production is carried out in many different sectors to meet the demand for a product or service. As this process is shaped by the interaction of technological advances, labor, capital and other resources, it must be continuously improved to increase efficiency, improve quality and reduce costs.

Data analytics, data mining, machine learning and artificial intelligence techniques are among the methods that play a major role in solving the problems encountered in production.

Arge Bilişim uses statistical and mathematical techniques to extract meaningful information from big data taken from production with data collection devices using Industry 4.0 methodology.

Arge Bilişim uses machine learning, a branch of artificial intelligence, to identify patterns in data sets and uses these patterns to make predictions for future data.

For example, in the quantity reports that are queried instantly for operations, the user is informed about how many units will be released from the relevant operations at the end of the day if this continues, and measures are taken to prevent bottlenecks before they occur.

In this context, it helps to reveal the relationships between data by analyzing large amounts of data in areas such as machine learning, artificial intelligence and statistics. The data collected can be used in many areas such as decision-making processes, marketing strategies and risk analysis.

 

Time & action and scheduling is the definition of all the steps required to produce and manage an order, which approvals it needs to pass, planning these steps and drawing a roadmap to ensure that they are realized at the same time.
It includes the planning and scheduling of the process steps of production activities on a daily, weekly or monthly basis. Through these coordinations, @rgemas ensures that production is carried out efficiently and effectively and that production is planned.
In order to perform scheduling, all steps that need to be followed are defined in the system.
@rgemas ensures that the planning process is organized and optimized by considering concepts such as capacity utilization and timetable. It ensures that quick action is taken in case of changes in the production process and prevents deviations from the planned calendar date.
It enables the time planning of the project and the realization of the plan to be recorded and reported. Arge Bilişim uses the time and action module as a project management tool.

A work order is a document that contains all the information about a business process and contains information about the work to be carried out to complete this process.

Arge Bilişim allows us to visualize, analyze and improve all steps in order taking, procurement, production and product delivery processes by using lean production tools.

With the Arge Bilişim Consulting team, VSM work is carried out, the production path of the product from the customer to the supplier is traced, and each process in the material and information flow is carefully analyzed. Depending on the product range produced by the company, the entry of all details to be used in order tracking is defined in the system.

The first step in the creation of the work order is completed by entering the product-model and related orders. Depending on the order created, a work plan list is created and the total standard time of the related product is calculated. The amount of workload required to perform the relevant operation in the work plan is calculated and the line balance is created accordingly. In order to ensure traceability and measurability within the production area, a job opening for the relevant product is performed. After the work is completed, a job opening report is created. According to the job opening report, materials and/or parts are placed on the carrier systems according to the numbers in the report and production is started.

Production planning refers to a process that includes many steps required to deliver a product of a certain quantity and quality to the customer by using the available production resources in the most optimal way. Every business needs a production plan to maximize productivity. In this process, it is essential to use production resources at the right time and to determine when customer demands will be ready.

Arge Bilişim uses the @rgemas planning module to plan production planning at the right time and with the right steps.

Planning can be done according to the business, line group, lines, shift and line-machines. It also calculates the capacity occupancy rates of the desired lines, in the desired date range or in the desired quantities, and improves the planning activities of the enterprises in connection with the time and action module.

Arge Bilişim has developed the planning module for easy planning of all production processes. With these modules, it provides the opportunity to create unlimited scheduling scenarios and to turn the best scenario into a real plan.

Corrective and preventive activities In short, CPA covers all kinds of improvement systems within the production structure, designed to prevent possible errors.

CPA is a concept that should be in many business standards and should be applied. It can be applied in all processes of a business. (For example, product acceptance, shipment, testing processes that do not comply with the workflow diagram, etc.)

Regulatory actions indicate the actions to be taken by organizations in the face of a identified error or problem, after problem detection by going to the root cause of the problem. Preventive actions, on the other hand, refer to the action plan made for the risks that may occur before a possible error or problem occurs. When new problems or potential risks arise, the CPA process begins with an analytical review. As a result, the organization takes regulatory or preventive measures.

Application Areas of Regulatory and Preventive Activities

CPA is used as a quality element in many sectors such as all kinds of production, health, service, food, textile, electronics, etc.

The flow of the CPA is as follows:

1- Definition of nonconformity

2- Flow of nonconformity

3- Consequences experienced related to nonconformity

4- Potential nonconformity

5- Questions about nonconformity

6- It can be collected under basic headings such as actions taken to prevent the nonconformity from being repeated.

For nonconformities detected by Arge Bilisim, you can enter the Internal Nonconformity Module. If internal nonconformities are deemed necessary, root causes can be analyzed to prevent the problem from recurring by connecting it to regulatory activities. Internal Nonconformity can be customer-based or department-based.

With the Internal Nonconformity module, you can track records that show nonconformance according to quality management system standards; The processes performed, time spent and materials can be monitored and controlled.

With the Corrective and Preventive Activities module, nonconformities can be managed with 8D analysis and relevant workflows can be made more efficient.

 

Material requirement planning (MRP), one of the production planning methods, is a management tool used to determine the quantity and timing of materials according to the needs of the materials to be used in production. With the MRP system, it is ensured that both time and cost savings are saved by anticipating the needs of the company. In this way, by rescheduling according to the encountered variables, the material needs are determined in advance and the problems that will occur are prevented.

By integrating data from different departments such as production planning, inventory management and product tree, the effective execution of the production process is ensured.

Basically, the MRP system process steps are;

1. Creating a Product Tree

The product tree shows the relationships Decoupled between products. It contains a list of

materials and parts required in the production of each product.

For example, the product tree for a table can be as follows:

• Table (Product)
  • Table top (component)
    • Wooden panel (material)
    • Screw (material)
  • Legs (component)
• Wooden legs (material)
  • Screw (material)

In this way, the product tree clearly expresses which components a product consists of and the relationship of these components.

2. Determination of Material Requirements: The MRP system determines which materials and how much are required for a certain period, using data such as product tree, demand forecasts, current stock values ​​and production orders. This process includes identifying the raw materials, semi-finished products and parts to be used in the production process of the product and calculating their quantities.

Upon completion of this process, the production process is effectively managed by determining when and how much of the materials required for the production of products in the enterprise should be provided.

3. Creation of Material Orders:MRP system is the process of creating orders with suppliers to supply when and how much of the materials to be used in production, after determining the material needs. In this way, it is ensured that the specified materials are supplied at the right time and in the right amount without interrupting the process.3
4. Creating a Production Plan: The MRP system creates a production schedule based on material needs and stock levels. This program organizes when products will be produced, taking into account machinery, equipment and labor resources in production to meet customer needs. Using company resources efficiently through production planning, meeting customer demands, adapting to changing market demands, establishing quality standards and ensuring sustainability increases the importance of planning for businesses.

@rgemas enables the production process to be planned based on factory, line, shift and machine with the 'Scheduling Module'. In order to realize the production plan, stock analysis can be done by creating a product tree for the models to be produced. The amount of product/material to be supplied can be determined by comparing the stock quantity with the selected order quantity.

 

Product refers to the production, sale or service of a physical object to meet people's needs, offered to customers as a final result.
Material can be defined as raw materials or parts used in the construction of products. A material can be used in various industries. Materials refer to any substance used in the production process of products.
Product and material definition system design is a process that enables the effective management of an organization's products and materials.
It is used to identify, classify, categorize and track products, materials and suppliers. When designing a product or material system, elements such as identification and categorization, classification system, data management and integration, supplier and material information, tracking and monitoring, security and access controls are taken into consideration.
With @rgemas 'Inventory Card Module', detail cards of products, materials, set products and intermediate products can be defined. The defined cards can be used in all modules in the system such as BOM creation, material request, purchasing, order entry, etc.
Arge Bilişim creates a flexible and reliable structure in product and material definition system design in accordance with the needs and processes of enterprises.

In economics and trade, demand refers to the desire or desire for a particular good or service. It is usually shaped by the price of a particular product or service, consumer income, consumer preferences, price expectations, advertising and marketing effects, prices of other goods and services, and economic conditions.
With @rgemas 'Material/Product Request Form', users in each department can make their requests through purchasing, warehouse or inter-departmental. Thus, since all requests are made through the system, tracking is easily ensured. When an approval is made for each request, an e-mail is sent to the relevant units and when an action is taken regarding the relevant request, an information e-mail is sent by the system to the person who made the request.

Warehouse and inventory systems have an important place in order to organize the storage, monitoring and distribution of the products of the enterprises, to increase the efficiency of the enterprises and to ensure customer satisfaction.

If a material that needs to be purchased 1000 times in a year is purchased 2 times each of 500 pieces instead of 20 times each of 50 pieces, the total transaction cost decreases but the cost of possession increases.

JIT, Heijunka, continuous flow are lean production techniques that can help us find the lowest cost point. One of the important objectives of these techniques is to provide controlled, necessary and economical stock quantity and flexibility.

@rgemas 'Inventory Management Module' aims to manage stocks, ensure traceability and reduce errors encountered by making them accessible according to the placement, mobility and frequency of use of the products in the warehouse with the data received through barcode readers, hand terminals and RFID cards.

Within the stock module, stock analysis can be done by entering an order-based or product-based quantity. All units can easily see how much of which material is needed, how much is in stock and how much needs to be supplied in order to produce the amount to be produced from a product.

The rapid progress of businesses towards a flexible production system forces the relevant departments to take faster action plans in line with changing customer demands.
@rgemas allows order and inventory management to be carried out more effectively.
Stock cards are defined in the system and stock cards are created (For example; chemicals, button group, auxiliary materials, raw materials, etc.).

Address movements for all open stock codes in the system can be provided. Using hand terminals, the transfer process can be added according to the requests from the departments and stock analysis.
All stocks can be reported according to as many breakdown details as desired and BI reports can be created and much more detailed analyzes can be made.

Within production, the management between interconnected organizations and departments

such as purchasing, production facilities, logistics, marketing and materials, service providers is called supply chain management.

The control of the flow of goods and services related to the purchase, production, storage, sales and shipment of a product is ensured by supply chain management.

The supply chain includes the data used in the evaluation of all processes and methods in determining the quality of raw materials from the entry of all kinds of purchases to be supplied for use in production to the company.

@rgemas purchasing module is the module where the purchasing process is managed. All inputs to be purchased are recorded with “Order Entry”. The order entry detail includes the quantity, delivery date, amount and required quality characteristics of the raw material ordered. After the order entry is approved, an automatic e-mail is sent to the supplier company via the system.

The purchasing process starts with the approval of the contract by the company to be purchased. According to the type of incoming raw materials, the compliance of the relevant departments with the items in the contract is checked by scanning the barcodes or by selecting from the pool. They are entered into the system.

This procedure, which aims to plan and systematize the intake of raw materials into the company, is controlled in order to carry out regulatory and developmental activities.

The requests and suggestions of customers, people working within the procedure and supplier opinions and suggestions are used as sources.

Shipments can be made to customers or subcontractors with the shipment notification form. The shipment can also be received with address-based analysis. At the same time, the shipment can be matched with the customer order, and if it is equal to the desired quantity in the order item or more than the desired quantity, it can be closed. When each shipment is approved, the relevant units and/or the relevant customer can be notified by the system via e-mail. The shipment process based on the customer order can also be done with mobile terminals.
The shipment report can be reported based on many breakdowns and the user can create as many extra reports as he/she wants in the BI area.
@rgemas can manage this process comprehensively with 'Purchasing, Sales, Warehouse, Inventory and Dispatch modules'. Since all modules can communicate with each other, the products accepted or shipped from the warehouse are automatically recorded in the stock records. According to the order request, the purchasing unit can determine the needs and start the procurement process by analyzing the stock of the necessary materials and intermediate products.