Warehouse planning and design are divided into 8 steps:
First, the starting preparation of the project;
Second, data processing and analysis;
Third, discuss the goals of future strategies;
Fourth, system requirements analysis;
Fifth, planning and design;
Sixth, the assessment of the program;
Seventh, detailed design;
Eighth, program implementation.
In actual operation, some people often skip the second step, or do the third step and do the second step. Therefore, they often leave the status quo and have nothing to do with the status quo. As a result, the calculated data is very much behind the design. Easy to handle, put some equipment, each device, for example, using RF to pick, how many people can pick every hour, but it is suitable for you, it can be said for you, but it is also suitable for any enterprise, It's exactly the same.
After completing the third step, some may come back to do some data collection and analysis, often doing what EIQ said before, EIQ can only say a common method, ideas, and often useful in the operation, but But it does not help you deal with these data completely.
How to understand EIQ? The average daily order quantity, the order volume, or the value of the daily purchase volume, etc., and then the correlation between the order and the product, but for example for such other things, such as This seasonality of this product, its changing trend.
Waiting for this piece of stuff, it may not help you to do this piece of analysis, in addition, when the data analysis, my personal opinion, more depends on the data analysis person's concept, his philosophy will directly determine the analysis value.
When some people make it, it is very simple. The value of data analysis is also very limited. For each warehouse manager, it is already very clear what kind of quantity, although there is not an accurate figure, but the estimated figure is not too bad. Where to go.
However, when reviewing the warehouse planning, only these figures are evaluated. I think there is no difference between the original warehouse and the original warehouse. The original tray, which may only hold one thousand, may be enlarged to accommodate five thousand trays in the future, nothing more.
Another easy problem is the fifth step. After getting a data, how to manipulate this data, I think this depends on the ability of the planner. At this stage, everyone's ideas will have very, very big differences. In the future, if you meet this kind of demand, it may be very automated, for example.
Then design what kind of trend, or how to operate through this other mode, etc., can it be achieved that under this limited automation, to achieve a better, to meet the efficiency, meet the demand The program, this one has to consider the designer's question. Basic problems may exist in these two places.
In the second step of data analysis, how does the method of data analysis operate? The first one includes its training. What data does this person need? Then these data may represent some meanings, often data analysis people. , Do not know how to operate the scene, take a thing to run it. He does not know what the basic thing is, and it may be a major deviation from the main results and the actual work.
But oftentimes, there are such problems, people do not know what kind of scene, so the training should pay attention to, including the collection of data, and then also include screening, the original data is often obtained from the system, but Which of these data are truly valid and which are false should be considered.
The third step is to discuss strategies for the future. For example, if your production scale originally ranges from 20 billion to 100 billion, what is the trend of this change? For example, the original production is so much, but it may be time in the future, a certain time suddenly pulled the peak very high, this phenomenon will appear, but often the future is the most unpredictable, there is no such idea, including additional At that time, inventory turnover days may now be 80 days, may be future, may be 20 days, and so on. But how about 20 days, how to change, change in that direction. This piece is worth considering.
Of course, the more detailed this step should be, including the changes between SKUs, which products will be sold well in the future, and which products will go on in the future. It may be possible to pack one bottle in one hundred bottles. In the future, it may be a bottle. This sample looks like Changes, these changes My experience is that the above people do not know, the following people do not know, there is no idea about this, so I think that at present, I think it is more troublesome. I didn’t see anyone specializing in these things. I often only know what it is like now. Maybe many people don’t know what it is like now.
The fourth step is the analysis of the system's needs, and what the trends are for each day. This is basically the same as the analysis of the status quo. It will also be adjusted according to the future. Its practice is often after I get a model of the status quo, for the future. At the time, through the superposition of this status quo in the future, it may now be 2 billion to get a model, the daily shipments, how much capacity each region has, and how much to deal with, and back to 100 billion, to get the future, often this happens The situation is like this.
The characteristics of logistics, which to put on the shelf, which block to do special treatment, etc., may also return and so on, then the flow balance diagram, it directly determines the size of the warehouse design, is very important for the design of the warehouse, had not seen before Someone to do this thing, the front represents the purchase, purchase volume, it may have some special, may include large products, may also include other small things, or according to the characteristics of the product, each piece dug out .
This picture says home appliances, this is a small home appliance, because according to the SKU is divided, the characteristics of each piece is not the same, and the other may be directly on a small shelf or something like, very quickly , According to its traffic handling my side of the purchase volume, get such a data.
In this picture, as a whole, this side is advanced and the right side is out, so that there is a balance between entering and exiting. How much to the left and how much to the right may be based on this cycle. This cycle It may be a year's data problem. Within one year, the left and right ones are exactly the same, and the quantities are the same. Why are they the same? If they are not equal, they will often cause two kinds of results. One may be out of stock. Another kind of product may lead to inexhaustible goods, warehouse can not accommodate.
After the goods come in, we directly get the size of the platform, including what kind of traffic, which is the control of the platform, adjust the difference in each purchase volume, and the volume of incoming goods has a temporary area, which depends on The efficiency of the plug-in may have some temporary quality checks, so how large is the temporary storage area, but also based on the size of the block area, after the return area comes, including pallet stacking, including shelves, etc. Waiting for the size of this area, there is a ship behind, this is the sorting and compliance area, and the size of the packaging area, through the efficiency of my work can be drawn to this piece to how much.
In the end, there will be a temporary storage area for shipment. How large the shipping buffer area should be, and it will directly determine its size. Then there will be a platform. What is the order quantity per day? This will be decided directly. How many vehicles are sent, and then decide how many shipping platforms are, this is the meaning of the entire flow balance sheet.
Through this balance sheet, we obtained a result after the analysis of the definition of all problems in the previous period. This result directly determines the layout of the future warehouse, including all the meaning of the size, all things. So we call these things a master of warehouse design. But from now on, many people often do not do this thing. Thus affecting the analysis results, but also directly affect the efficiency of the regional size and other issues.
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