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6 Sigma is an improvement methodology developed to reduce variation in processes. Like Lean, Six Sigma is like a toolbox containing many tools. Although a small part of the tools are also used in Lean, it mainly consists of Problem Definition, Problem Solving, Data Analysis and Statistical Methods. WHAT IS 6 SIGMA? 6 Sigma is an improvement methodology developed to reduce variation in processes. Like Lean, Six Sigma is like a toolbox containing many tools. Although a small part of the tools are also used in Lean, it mainly consists of Problem Definition, Problem Solving, Data Analysis and Statistical Methods. Six Sigma is mostly used to solve complex problems of quality. For example, the diameters of some of the bolts produced are not within the desired tolerances, which can be easily solved with the the Six Sigma Method. WHAT IS VARIATION? Variation is basically not consistently getting the same results from the output you expect from the process (quality, efficiency, etc.) There are two types of variation in a process: Değişkenlik Centering Problem (left) : When the desired parameter is above and / or below tolerances (or specification limits) it is called the centering problem. For example, the process runs slower than desired, the drill bit pierces above the set value, the fabric is darker than the color we want. Scattering Problem (right) : The situation where the desired parameter is scattered over larger than desired area is called the scattering problem. For example, the cycle rate for the same product varies at different times, the color tones in different meters of the fabric are different. There may be situations where both occur at the same time. Variation exists in every process. The sources of variation may be due to known reasons (your journey to come home, which takes 30 minutes on average, took 45 minutes due to snow) or the natural oscillation of the process (sometimes it may take 30 minutes, sometimes 32 minutes). For this reason, since it is known that the product desired to be produced as 30 microns in the example below cannot always be produced at this value, tolerances (specification limits) have been established. When your process goes beyond these limits, it produces erroneous output. The more you reduce the process variability, the less likely you are to produce faulty output. This will increase customer satisfaction. HOW TO SOLVE PROBLEMS WITH 6 SIGMA? With 6 Sigma, the inputs causing these variations are detected and formulated as in the picture below. Y = f (x) is used to define functions. First of all, the problems (Y and ys) are defined. Then, the inputs that we think affect this problem are defined. (xs) Of course, since many inputs are defined, it is necessary to prioritize them and reduce them to the numbers we can control. For this, the approach called Logic Filters is used. Logic Filters are developed to solve problems with 5 phases called DMAIC in 6 Sigma. With different tools used in each phase, many input (xs) mentioned above are eliminated and reduced to the controllable number that has the most effect on the output. WHAT IS DMAIC? DMAIC is the name given to the unique problem solving management phases of 6 Sigma. These phases are called Define, Measure, Analyze, Improve, Control in English. DMAIC is the abbreviation of these phase names. Each phase has been designed to determine the most important inputs (xs) that affect the output (Ys) by using tools within itself. Many Operational Excellence problems can be solved if the steps are followed correctly. We interpret the phases in as follows: DEFINE : It is the phase in which the output and potential inputs of the problem are defined, the scope is determined and the project charter is created. MEASURE : It is the phase in which the defined outputs and inputs are measured with accurate and precise measurement systems, the analysis of measurement systems (MSA) is performed and the accuracy and precision of the measurement results are ensured. ANALYSE : It is the phase in which important factors that create variability in the output are determined by graphical and statistical analyses. IMPROVE : It is the phase in which important factors affecting the output are improved and optimized. CONTROL : It is the phase in which actions are taken to ensure the continuity of the improved process. DMAIC

Task Mining is an Operational Excellence tool allows you to automatically compile user interface (UI) logs kept in relation to low-level event data (for example, application open-close, keystrokes, mouse clicks, data entries) and to monitor and improve productivity. TASK MINING SOFTWARE MONITOR AND IMPROVE EVERY TASK ON YOUR SCREEN WITH TASK MINING SOFTWARE WHAT? WHY? CAPABILITIES CONTACT CASES Nedir WHAT IS TASK MINING? Task Mining is an Operational Excellence tool allows you to automatically compile user interface (UI) logs kept in relation to low-level event data (for example, application open-close, keystrokes, mouse clicks, data entries) and to monitor and improve productivity. Neden WHY TASK MINING? Task Mining presents the time you spend in front of the screen by integrating the data from the finest details in your tasks and visualize it with a business intelligence platform. With this approach, the duration of your task initiatives is reduced to seconds . With Task Mining ; You can see all the details of the tasks (Excel usage, pdf reading, keyboard usage, scrolling, clicking, object) on the screen. You can reveal the improvement opportunities for the activities performed on screen with the data. By seeing which work consumes for how long, you can optimize resources. You can easily prioritize automation opportunities such as RPA / BPA in your business. By identifying different steps for the same job, you can provide standardization. Yetenekler WITH TASK MINING, YOU GET THE FOLLOWING CAPABILITIES: You can install the software and start receiving data within 1 hour. Since it does not require integration , you can collect information on every step that happens on the screen. Without any screenshot is taken, you can save both resources and time. With the help of employee privacy measures , you can ensure the protection of confidential information. Apart from the task, you can also see the capacity needs of your hardware. You can install it in the cloud or on-premise according to your desire and keep all the data on your company server. You can perform holistic analysis by combining the collected data with other data sources (eg Process Mining). You can compare the work steps between each other or with a standard. With Business Intelligence , you can instantly see all the changes happening on the task. Demo Leave your contact information for additional information PLEASE CONTACT US You can find some sample cases from different sectors below. Vakalar TASK MINING IN THE FINANCE SECTOR Credit disbursement tasks Policy preparation tasks EFT tasks Call center tasks Payment tasks Branch operation tasks Check tasks Cash processing tasks Account tasks Audit tasks Investment operation tasks Task selection for RPA / BPA

Operasyonel Mükemmellik, Dijitalizasyon ve İnovasyon konularında hizmet verdiğimiz kuruluşları inceleyebilirsiniz. SOME REFERENCES

You can examine the training titles we prepared specifically for organizations. Lean 6 Sigma, Green Belt, Black Belt, Robotic Process Automation, Process Mining, Analytical TRAININGS MATRIX Our trainings are tailored to the demands and needs of organizations. For example, although the training given to a bank or a plastic granule raw material manufacturer has the same title, it differs in terms of content and materials used. Please contact for information about the trainings you are interested in . TRAINING NAME TRAINING OBJECTIVE GÜN Lean 6 Sigma Black Belt Lean 6 Sigma is an effective methodology developed to solve operational problems in the production and service sector. A Black Belt is the project leader who has the wisdom to solve complex problems and coach Green Belts too. 25 Process Mining A hands-on training developed to help organizations that want to simplify / mistake-proof their processes to focus on. 2 Lean 6 Sigma Green Belt Lean 6 Sigma is an effective methodology developed to solve operational problems in the production and service sector. A Green Belt is the project leader who has the expert knowledge to solve complex problems. 12 Lean Financial Structure and Cost Reduction Explanation of the lean approach in costing processes 2 Big Data Analysis with R and Python In processes using big data, Artificial Intelligence analysis with R and Python languages 6 Robotic Process Automation (RPA) Automation of manual work (copy-paste, emailing, data search, etc.) done on the computer with robotic software 6 TRIZ Problem Solving Methodology Resolving a problem or constraint experienced in the business with creative and innovative techniques 4 Ind. 4.0 101 (Ind 4.0 Introduction) Combining Industry 4.0 with daily production applications 2 8D Problem Solving Methodology Systematic understanding of solving a problem by addressing it with real root causes and all its effects and consequences 1 Innovation techniques Development of products / services not implemented by competitors in the market that will provide added value to the customer 2 Sustainable Process Management (Core Competencies, KPI, Critical Process Analysis Providing the institutions to manage their top priority processes with the right metrics 2 8 Deadly Waste and Value Added Analysis Explaining the deadly Lean wastes in business with examples 1 Lean Operation (Continuous Flow, Workforce (Shojinka) and Line Balancing (Heijunka), T-Ca Explaining how a lean business works with examples. 4 Measurement Systems Analysis (MSA) To analyze the results of measurement systems with correct, precise and sufficient resolution by statistical methods and to explain their improvement 2 Balanced Scorecard Ensuring the correct structuring of strategy management from strategies to goals and business plans 2 Total Productive Maintenance (Including OEE and SMED) Managing machine and maintenance efficiency for 0 breakdowns, minimum maintenance time, 0 quality errors, 0 work accidents. 2 Design of Experiments– DOE Complete and Fractional Functional Experiment Designs, basic DOE 2 Quality Function Deployment (QFD) Method of applying customer demands to the products/services and managing contradictions 1 VSM- Value Stream Mapping Enabling organizations to draw the material / information flow and identify opportunities for improvement before starting Lean applications in their businesses 1 ABC - Real Cost Real Profitability ABC (Activity Based Costing) method will be introduced. 2 Inventory and Inventory Management Inventory management fundamentals, inventory types and calculation methods will be transferred to the participants, methodical steps and prioritization methods necessary for the establishment of the inventory management chart will be taught. 2 OEE - Increase Capacity Utilization With Overall Equipment Effectiveness With this training, the concept of OEE, methods of calculation and interpretation and its applications in different sectors and fields will be discussed. 2 SMED - Quick Setup Practical training to make processes such as model change / part change / mold change / truck loading / malfunction intervention / maintenance shorter and increase capacity utilization 1 5S - Workplace Layout-Visual Management-Standart Work The concept of 5S will be introduced to the participants, steps and detailed contents for the implementation of methodical 5S in a field will be introduced. 2 FMEA / FMECA (Failure Modes and Effects and Criticality Analysis) To make it possible for R&D centers, organizations that will produce new products/that will make changes in their processes to identify potential problems that may arise in advance with quantitative methods and take precautions. 2 Process Capability and Stability (Cp-Cpk and Control Charts) Analysis Measuring the capacity of processes to meet customer demands 1 Decision Support with Hypothesis Testing Practical teaching of methods to determine whether these groups come from different masses (eg, the effect of two different chemicals on paint adhesion is same or different) by statistical comparison between multiple grouped data. 2 SPC - Statistics Process Control In order for institutions to manage their processes with a scientific approach, the process inputs and outputs are monitored with statistical methods and necessary corrections are made before the company suffers financial losses. 2 Understanding and Prediction with Data Providing the institutions to analyze problem sources by using data 2 Hoshin-Kanri Enabling institutions to reveal their top priority processes and monitor them with the right metrics 3 VOC- Making customer expectations parametric Enabling companies, enterprises, startups, R&D projects to know their customers, analyze their needs and take the right actions by practicing. 2 Kaizen-Blitz It is an effective methodology developed to solve operational problems in the production and service sector in a single session within 5-7 days. 2 Lean 6 Sigma Yellow Belt Lean 6 Sigma is an effective methodology developed to solve operational problems in the production and service sector. A Yellow Belt is the project leader who has the knowledge to solve around 80% of the problems. 4

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