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Today, I will tell you the difference between MES system and APS. The content of the article is good. Now I would like to share it with you. Friends who feel in need can understand it. I hope it will be helpful to you. Let's read it along with the editor's ideas.

MES system is the core of intelligent factory, which integrates the product data management of front-end product design, process definition stage and back-end manufacturing stage, and realizes the closed-loop collaborative lifecycle management of product design, production process and maintenance service.

APS is advanced planning and scheduling. It should be said that APS is originally a module of the MES system, perhaps because the optimization of production scheduling is too important and the technical threshold is too high, so it is used as a functional software alone. APS should meet the resource constraints, balance all kinds of production resources in the production process, give the optimal production scheduling in different production bottleneck stages, and achieve rapid scheduling and rapid response to demand changes.

The planning and scheduling problem of a workshop and a factory can not be underestimated. Academically, it is a large-scale and complex system optimization problem.

Scheduling is sorting, which is the question of what to do first and what to do later. But you can imagine that hundreds of large and small equipment and hundreds of people have to do a variety of tasks at the same time, how can they be under various constraints (equipment capacity, personnel, time, site, materials, etc.)? to achieve the best goal (delivery time, effective utilization rate of equipment, minimum cost, etc.)?

Co-ordinators and computer experts have been looking for a fast way to solve the optimization of large-scale systems for many years. Overall planning method, heuristic method, rule method, simulation method, genetic method and so on, these algorithms have their own characteristics for some specific needs, some "calculate fast", but the results are not the optimal solution, some convergence is very slow and impractical. Even academic theorists have doubted whether there is an optimal solution. Until a few years ago, an American applied mathematician (EYUAN SHI) invented the split nesting (NP) algorithm, proved that the generation of Markoff chain, achieve global convergence, and can give the confidence interval from the optimal solution. This has become a shortcut to solve the optimization problem of large-scale and complex systems.

Current situation of APS industry

APS has many successful applications in enterprises, especially in integration with MES system modules. The planning and scheduling problems in the process industry, such as iron and steel, manufacturing and chemical industry, are relatively simple, so the optimization scheduling is easy to implement.

APS in discrete manufacturing industry, because of the complexity of scheduling problem, almost all APS systems adopt rules or heuristic algorithms. The biggest advantage of rule method or heuristic algorithm is that it can quickly get a feasible scheduling result, but it can not guarantee the optimal solution or quantify the scheduling result. For a simple process, fewer orders, no matter what algorithm gets the same result. Whether the complex scheduling problem has the function of optimization or not, the results will be very different.

The core of Advanced Planning and scheduling (APS) is "advanced". Otherwise, all that's left is the schedule. A large number of research data show that the difference between the scheduling result obtained by the rule method or the heuristic method and the optimal scheduling can be 30% and 150%. With the goal of minimizing the delay of orders, 30 orders may always be delayed when the optimized APS deals with 100 orders, which is a great loss to the enterprise. Due to the limitation of the technical threshold of optimization algorithm, most "APS" products on the market have to add a lot of manual intervention (for example, a lot of rules have been made artificially, and these rules themselves may not be excellent) or ignore some problems because of the technical threshold of optimization algorithm.

What kind of APS do you need?

APS is an enterprise management software, which has highly intelligent production planning and scheduling function. In the production process with complex multi-task conditions and many constraints, it can make the best use of the enterprise's resource conditions to find the best scheduling results. The core of APS is an optimization engine to find the optimal results.

In the actual production, discrete industrial enterprises (small batch, multi-variety, large order changes), complex tasks, resources, processes, many constraints, and is a completely dynamic process. What the enterprise needs is an optimal scheduling plan within a tolerable period of time (for example, 10 minutes). And the degree of optimization of the schedule can be judged and quantified, and the impact on the future can be predicted (for example, you can see what will happen three months later).

APS must be highly adaptable. The actual operation of the enterprise may encounter different requirements at different times, for example, sometimes it will require the shortest delivery time, sometimes it will ask for the best equipment utilization rate, sometimes it will require the minimum inventory, and sometimes it will encounter emergency orders. APS must be very convenient according to the needs of the enterprise to meet the needs of the enterprise in different periods.

The man-machine interface of APS must conform to the thinking mode and scheduling habit of enterprise dispatchers. It is unacceptable for enterprise users to go through extremely complex training to adapt to the requirements of computers.

APS mainly aims at the problems of low resource utilization, untimely delivery and inflexible production profit to optimize scheduling, customize the intelligent scheduling system that is most suitable for enterprise production mode, help enterprises to allocate rational production capacity, improve resource utilization, and reduce enterprise costs. At the same time, we can respond to customer orders more quickly and deliver customer orders on time. And by changing the traditional manual scheduling, you can easily face frequent orders, complex and changeable orders, so that your enterprise production is more flexible and efficient.

MES and APS are integrated.

APS and MES systems overlap in scheduling functions. However, the current trend is to integrate APS and MES to achieve four closed loops: 1, demand forecasting and order commitment closed loop. 2. Closed loop of planning and scheduling. 3. Closed loop of production scheduling and execution. 4. order commitment and order fulfillment delivery closed loop. Form system autonomy, self-feedback, self-decision.

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