What Are the Best Tips for Systems Acquisition?
The system requirements analysis method is composed of a system analysis process of data domain and function domain of software and a representation method thereof. It defines how to represent the logical and physical views of the system. [1]
System analysis method
Right!
- The system requirements analysis method is composed of a system analysis process of data domain and function domain of software and a representation method thereof. It defines how to represent the logical and physical views of the system. [1]
- System Analysis Method
- System analysis was first developed by the United States
- 1) System characteristic analysis method;
- 2)
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- The specific steps of the system analysis method include: defining problems, determining goals, investigating and collecting data, proposing alternatives and evaluation criteria, evaluating alternatives, and proposing the most feasible plan.
- Qualified problem
- The so-called problem is the gap between the actual situation and planned goals or ideals. The core content of the system analysis is two: one is to "diagnose", that is, to find out the problem and its cause; the other is to "prescribe," that is, to propose the most feasible solution to the problem. The so-called problem definition is to clarify the nature or characteristics of the problem, the scope and impact of the problem, the time and environment of the problem, and the symptoms and causes of the problem. Limiting the problem is a key step in system analysis, because if the "diagnosis" is wrong, it is impossible to prescribe the right prescription in the future. When defining the problem, we should pay attention to distinguishing symptoms and problems, and we cannot discuss the cause of the problem in advance. At the same time, we must determine which are local problems and which are overall problems. The final determination of the problems should be made after investigation and research.
- Identify the target
- The goal of system analysis should be determined according to the customer's requirements and understanding of the problem to be solved. If possible, it should be expressed by indicators for quantitative analysis. Objectives that cannot be described quantitatively should also be explained clearly in words as much as possible in order to conduct qualitative analysis and evaluate the effectiveness of system analysis.
- Research and collection of data
- The investigation and collection of data should be conducted around the cause of the problem. On the one hand, it is necessary to verify the hypothesis formed at the limited problem stage; on the other hand, it is necessary to explore the root cause of the problem and prepare for the next step to propose alternative solutions to the problem.
- There are four commonly used methods of survey research: reading documents, interviews, observations and surveys.
- The data and information collected include facts, opinions and attitudes. Data and information must be de-false and cross-checked to ensure authenticity and accuracy.
- Propose a plan and evaluation criteria
- Through in-depth investigation and research, the real problems to be solved can be finally determined, and the main causes of the problems can be clarified. On this basis, targeted solutions can be proposed. Alternatives are suggestions or designs that can be selected to solve the problem and achieve the consulting goals. Two or more alternatives should be proposed to provide further evaluation and screening. In order to evaluate alternatives, it depends on the nature of the problem and what the client has. Propose constraints or evaluation criteria for further application.
- Case evaluation
- According to the above-mentioned constraints or evaluation criteria, the problem-solving options are evaluated. The evaluation should be comprehensive, not only taking into account technical factors, but also considering socio-economic factors. The evaluation team should be representative. In addition to employees, representatives of client organizations must also be invited to participate. Determine the most feasible solution based on the evaluation results.
- Submit the most feasible solution
- The most feasible solution is not necessarily the best solution. It is the most realistic and feasible solution selected according to the evaluation criteria within the constraints. If the customer is satisfied, the system analysis reaches the goal. If the customer is not satisfied, it is necessary to negotiate with the customer to adjust the constraints or evaluation standards, or even re-limit the problem, and start a new round of system analysis until the customer is satisfied.
- To
- A forging plant is a small enterprise that mainly produces automobile rear axles such as Jiefang, Dongfeng 140 and Dongfeng 130. The annual production capacity is 18,000 and the annual output value is 1.3 million yuan. The semi-shaft production process includes 23 procedures such as forging, heat treatment, machining, and painting. Due to outdated equipment, some equipment has been replaced and renovated in previous years, but the effect is not obvious, and the production capacity still cannot be improved. The factory leaders were anxious to open the situation, so they entrusted M Consulting to consult. M Consulting uses system analysis to diagnose
- CSP model
- · GE Matrix
- · QFD method
- ROS / RMS matrix
- V matrix
- · WSR system methodology
- · Portfolio strategy
- · Talent Model
- · Enterprise value correlation analysis model
- Flexible corporate financial management system
- · Nine Forces Analysis Model of Enterprise Competitiveness
- · Public decision thinking
- Stakeholder analysis
- · Watson Wyatt Human Capital Index
- Five factors of change
- · Basic competition strategy
- Ansoff matrix
- · Post value assessment
- · Construction period planning
- · quantitative Economics
- · Golden Triangle Service
- · Boston Matrix
- · Porter Five Force Analysis Model
- · Potter's competitive strategy roulette model
- New developments in logistics theory research
- Environmental uncertainty analysis
- Ruiding's learning model
- · Procedure control method
- · System theory
- · System Management School
- Economic system analysis
- · Comprehensive standardization
- · Mundell's efficient market classification principles
- · Soft evaluation method
- Financial efficiency
- · Integrated management
- · McKinsey 7S model