Perfect system
The ideal system concept of G. Nadler is a method in which the ideal system is first created, from which it gradually descends down to the system that meets the limiting conditions. This concept is looking for a comprehensive improvement, here the system function is the goal, and the whole system should strive to achieve this function.
The concept of the ideal system by G. Nadler had a significant impact on the methodology of organizing research. Significant is the fact that the system according to Nadler is not the sum of the system components, because the properties of the whole do not come down to the properties of the part and each system is something specific.
The proposed method is called the "modeling" method and, in contrast to the "improvement" method proposed by the classics based on current observations and analyzes, is to leave the ideal system and then gradually approach a concept that meets the imposed limiting conditions, expressing the essence of a specific process.
In Nadler's approach, it is not important to look for specific improvements to the options, but the overall concept of the process under consideration is sought.
General characteristics of the system according to Nadler include the indication of:
- function
- inputs
- process
- ambient
- Equipment
- The size of human resources
According to the concept, such a formulation of the system makes it possible to transform input streams, such as materials, information or people, into the formulation of specific products or services. The existence of a given system is perceived as its functions, included in the category of purpose, which the specific system is to serve. In addition, as the system environment Nadler defines the total of physical factors, economic, and sociological, which together create the environment of the organizational system.
Well, the considerations are based on the analysis of the unit cost of production in the enterprise. In this particular case, the ideal system is the state of the system where the unit cost is equal to zero. This system is located at the apex of the triangle and bears the name of a theoretically perfect system. In fact, it is difficult to imagine a situation, but the sketch of such an ideal concept is to be a reference to the possibilities offered by different variants of the solution, which aim to minimize unit cost. In addition, Nadler defines in a special case an ideal system as such a system that can be eliminated without affecting the functioning of the whole.
Nadler's triangle
- The ideal theoretical system
- The ideal perspective system
- The perfect system implemented technologically
- The proposed system
- Improved system
- The existing system
Stages of the proceedings
- In the initial phase, the system function is determined
- Then an ideal system is introduced
- Information is collected
- Suggested variants are created
- The next step is choosing the recommended system
- Then follows:
- System formulation
- System revision
- System testing
- Installing the system
- System operation control
Loopback - part of the control system in which information about the result of a specific action is transferred to a given unit, giving the opportunity to analyze and correct work.
If this is not possible, a perfect perspective system is designed. It assumes ideal conditions for its functioning based on the latest achievements of science and technology.
The next stages of this method are designed to "realize" the ideal system. This is distinguished by the level of the ideal system implemented technologically, created on the basis of already implemented solutions in the organizational and technical sphere, showing high efficiency. The final stage is the transition to the proposed system. The existing system lies at the root of the triangle.
This method is widely used. Its unquestionable advantage is that it does not require significant expenditures to perform analyzes of the current state, but nevertheless it is undoubtedly a more difficult method and requires high capabilities of prognostic thinking.
In addition, as Nadler claimed, this method is much more effective, than the concept of an "improved system", which arises through diagnostic procedures, thus running "from below".
Examples of Perfect system
- An automated factory production line: This system is designed to handle the entire production process, from raw material inputs to the finished product. It includes all the components necessary to create a product, including robotics, conveyors, machines, tools, and other components. The system is designed to optimize the production process, reducing waste, increasing efficiency, and improving overall product quality.
- Autonomous cars: Autonomous cars are equipped with advanced sensors and algorithms that enable them to drive themselves in a variety of environments. Autonomous cars are capable of navigating roads, avoiding obstacles, and even detecting and responding to traffic conditions. They are also able to recognize their surroundings and make decisions accordingly.
- Smart homes: Smart homes are equipped with a variety of sensors and devices that allow them to monitor and manage a variety of systems. This includes heating and cooling, lighting, security, and other systems. Smart homes are able to detect and respond to changes in the environment, allowing them to conserve energy and provide a comfortable living experience.
Advantages of Perfect system
The advantages of the G. Nadler's ideal system concept include:
- Improved system performance: By striving for a comprehensive improvement, the system can reach its highest potential and thus provide better performance.
- Enhanced system flexibility: As the system is designed from the ideal system downwards, it allows for greater flexibility in terms of adapting the system to changing conditions.
- Reduced complexity: The system is designed from the ideal and gradually descends, allowing for a simpler system design process and thus easier maintenance.
- Reduced development time: The use of an ideal system concept can potentially reduce development time as the process of designing and refining the system is streamlined.
- Improved decision making: By starting from the ideal system and descending to the system that meets the limiting conditions, this concept allows for improved decision-making.
Limitations of Perfect system
The G. Nadler concept of ideal system is an effective approach for improving an existing system, however, its implementation has certain limitations. These include:
- Limited flexibility - The concept of an ideal system is designed to guide an existing system towards an optimal outcome, however, it does not allow for much flexibility if the situation or environment changes.
- Complexity - The process of working towards the ideal system can be complex and time-consuming, as it requires each component of the system to be analyzed and optimized.
- Difficult to measure - It can be difficult to accurately measure the effectiveness of the ideal system, as it often requires an evaluation of the entire system.
- Costly - Implementing the ideal system can be expensive, as it often involves the purchase of new equipment and materials.
N. Nadler’s ideal system concept is one of the approaches to achieve the perfect system. Other approaches include:
- The Envelope of Functionality Method: This method was proposed by N.L. Grosch and involves the selection of components and subsystems that would best meet the desired system goals.
- The Systems Integration Approach: This approach involves the integration of multiple components and subsystems into a single system to achieve a desired function.
- The Systems Design Approach: This approach involves the design of a system from the ground up to meet the desired system goals.
- The Systems Analysis Approach: This approach involves the analysis of a system to determine its strengths and weaknesses and to identify areas for improvement.
Overall, N. Nadler’s ideal system concept is one of many approaches to achieving a perfect system. Each approach has its own merits and should be considered based on the system goals and objectives. By combining different approaches, the most effective system can be created.
| Perfect system — recommended articles |
| CAE — Organizational techniques — Advantages of simulation — Descriptive model — Process performance — Capacity analysis — Ergonomics — Ergonomic system — Line balancing |
References
- Reason, J. (2000). Human error: models and management. Bmj, 320(7237), 768-770.
- Lasseter, R. H., & Paigi, P. (2004, June). Microgrid: A conceptual solution. In Power Electronics Specialists Conference, 2004. PESC 04. 2004 IEEE 35th Annual (Vol. 6, p. 4285-4290). IEEE.
- Haken, H., & Jumarie, G. (2006). A macroscopic approach to complex system. Springer-Verlag, Berlin, Heidelberg, New York, 3th.
