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Business process optimizing

Business process optimizing

Business process management is tied to concepts such as business process optimization. In processes other than cognition and modeling, we seek to find the best cases. To begin, let’s look at what it means to optimize a business process.

Define of business process optimization

Business process optimization means regulating the process of a process, in order to optimize specific parameters without considering some limitations so that we can make the best or most effective use of them. This concept is different from business process reengineering (BPR).

 

The meaning of business process optimization

Process optimization can be used in many areas, but in the field of business processes this optimization refers to an existing process that is used to improve and guide the activities of this process, which is currently used as the “purpose of the business” is defined.

So when we talk about business process optimization, we are actually talking about the process that is currently running, and we are holding on to that process, and we are only identifying where this process is flawed, what can be added to it. , How to make the necessary improvements and improvements, and then check that the process continues in the same way you intended, but with better and more improved performance.

 

Business process optimization process

There is no clear method for optimizing the process that everyone agrees with. There are many options you can use to do this process, here are some examples of these options.

 

Business process optimization methods

DMAIC

This technique is a six-sigma technique in business process optimization that occurs almost completely during business process automation.

 

Business process optimization methods

Business process optimization DMAIC is taken from the beginning of the following words:

  • Define
  • Measure
  • Analyze
  • Improve
  • Control

This method provides a robust data-driven approach to optimizing the business process in a large, multi-stakeholder organization.

The goal of the Six Sigma DMAIC technique is to find output defects, track them down to the main processing problems, and then find ways to improve the process. As a result, it reduces waste through the Six Sigma method in managing business processes.

The goal of the Six Sigma DMAIC technique is to find output defects, track them down to the main processing problems, and then find ways to improve the process. As a result, it reduces waste through the Six Sigma method in managing business processes.

 

Data mining process optimization

Obviously, the data mining process is not a method in itself. But it is a very important part of modern process optimization methods.

What data mining can give you is an instant overview of your current process and how it works. This process is often referred to as “automated business process discovery”.

Data mining process optimization

You can give the data mining process tool a large input of data about an activity and use the software to find out what happens, how and by whom. Then you can map all of these in different ways and then see pictures of how your business is doing.

 

PDSA (program-do-study-action) cycle in process optimization

PDSA, unlike the Deming cycle, is a 4-step process designed with a business building and improvement approach. This theory discusses process optimization so well that it focuses on finding and improving the idea of quality throughout business operations. Quality theory is important here, and it reduces defects much more and more simply than Six Sigma theory.

The four stages of this cycle are:

Plan

In the planning stage, you must define your quality concept. Here you need to identify the aspects that you want to improve in terms of quality and determine how you want to improve that quality. Accurate forecasts are very important at this stage and show that you have a comprehensive understanding of your business system.

 

Do

The next step, which is to do, is to implement these improvements, and this is done in a completely controlled way. If you can use control groups or automated studies at this stage, then you can have better comparative data in understanding the variables that affect the results. Try to involve and help your team in this part of them.

The study phase in PDSA is different from this phase in the PDCA cycle. In PDCA you check if the results are good or not and it does not matter if your output has increased, defects and losses have decreased and so on. But Deming has rejected the PDSA to study the results. At this point you actually want to achieve the size and amount of many aspects of the new process and the results that can be measured.

 

Study

The study phase in PDSA is different from this phase in the PDCA cycle. In PDCA you check if the results are good or not and it does not matter if your output has increased, defects and losses have decreased and so on. But Deming has rejected the PDSA to study the results. At this point you actually want to achieve the size and amount of many aspects of the new process and the results that can be measured.

 

Act

The action stage can be where you make progress on the new process in a large part of your activities. You may want to make other plans to grow your business using the changes you noticed in the study.

According to the topic of continuous improvement, this cycle starts again when it is over.

 

Source :

Karokasb

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