2) Function: It can analyze the results of dynamic input data, recalculate the plan according to the input data, and respond to the user's operation in time. This kind of function can be divided into basic function, automation function and optimization function, but it does not include the function of importing and exporting from other systems.
(a) Basic functions, usually used to perform simple calculations;
(b) Automation function can be understood as an automation action, a group of actions or an automation function triggered in the user interface, so this function is generally triggered based on other events or executed at a certain frequency to support the generation of plans or schedules;
(c) An optimization function is an algorithm that distinguishes automation functions based on different scenarios to generate multiple possible plans or schedules. This distinction is selected and generated according to a certain scoring function.
3) Interactive Gantt Chart: Graphical interactive user interface (GUI) can be used to describe the current consumption of resources and materials. Considering the time and resources, we can generally consider the interactive Gantt chart in project management. There are many types of Gantt charts, but its * * * feature is to display tasks graphically and allocate resources in time.
The basic features of Gantt Chart are as follows:
(a) It is a two-dimensional table;
(b) The horizontal axis represents time;
(c) The vertical axis represents resources;
(d) In the diagram, the matrix represents the work plan or resource schedule.
For example, please refer to the following figure:
The concentric circles below can be used to draw the basic elements of APS. At the same time, it should be noted that only when the inner circle is realized correctly can the outer circle work normally. This requires that in the initial stage of APS implementation, the focus should be on establishing the physical world model. In the initial design and expectation management of APS, it is necessary to prepare for the premise that creating a good model has higher priority than realizing automatic planning and scheduling.
2 Organization and preparation of the action plan
Not all companies need to consider running APS. A is an advanced tool, which depends on the current well-run system and the overall business standard process. When discussing the use of AP, the four main factors to be considered are vision, wisdom, data and predictability.
1) vision
APS should be a part of the strategy to improve business performance, and companies need to understand the value that APS can bring to the company in the long run, that is, the vision of APS should be consistent with other elements of the company's strategy. At the same time, APS not only supports the existing process, but also needs to play the role of process reengineering, which requires a clear understanding of the actual object and implementation of APS. Secondly, APS helps to clarify organizational problems and understand the actual operating objects in the process.
2) Wisdom
The premise of APS implementation is that the company has enough resources to support the working principle of APS, understand how to use APS and propose more complex solutions. This means that the solutions or systems provided by external consultants or external technical support cannot be used as long-term solutions and need long-term optimization of internal human resources. This requires that APS should be used and managed by long-term users within the company, not APS suppliers. Such internal human resources should have systematic thinking and have degrees in industrial engineering, operational research, mathematics, econometrics and informatics. These people may have no work experience at first, but their training in APS will make them learn faster. Business users of the system should keep close contact with APS technicians to ensure that the input and output results of the system are the decision results of business understanding.
3) data
Data quality plays an important role in the successful implementation of APS, and the preparation results of data quality can be evaluated under the following circumstances:
(a) Users seldom complain, and they don't always monitor and track the accuracy and completeness of data results calculated by the system;
(b) Users trust the system, rarely cross-check and rarely verify the processes such as bill of materials, process route, production and material selection.
The data of APS system comes from different systems. Due to the differences of cross-system data sources, there are often many inconsistencies between the created integrated data and the view display data. The quality of this kind of data often does not meet the tactical business parameters, which will lead to the inconsistency between master data, operational data and decision-making results. Therefore, before accessing the front-end data, we need to consider a lot of complicated data cleaning work to ensure the integrity and consistency of the data.
4) Predictability
A rule to be noted is that a plan without foresight is invalid. When there is no predictability, there is no difference between using APS for planning and not having it. Therefore, if the prediction is impossible, we need to consider how to improve the predictability, so as to improve the controllability of the system. The preparatory work for evaluating predictability includes the following.
(a) Most of the day is spent making plans and arrangements, rather than making decisions on the outcome of the day;
(b) Short-term plan changes or short-term decisions are rarely made;
(c) The same problem rarely occurs again;
(d) hardly participating in emergency work or dispatching emergency services within one day;
(e) Decision-making tasks can be started and executed continuously, rather than intermittently.
If the above situation has been applied, it shows that the system implementation of APS has made the basic preparation for prediction.