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    The ERP Situation Of Garment Industry Has To Be Understood.

    2015/2/9 11:42:00 50

    Clothing IndustryCurrent SituationProfitTrend

      

    Garment industry

    ERP should support at least a variety of production methods such as single production, inventory production and so on. At the same time, it can effectively manage the brand name production mode.

    OEM is a headache for manufacturing enterprises. Because of its relationship with various factors, it may lead to confusion if it is not prudent.

    First of all, support multiple modes of production.

    The ERP of garment industry should support at least a variety of production methods such as single production, inventory production and so on. At the same time, it can effectively manage the brand name production mode.

    OEM is a headache for manufacturing enterprises. Because of its relationship with various factors, it may lead to confusion if it is not prudent.

    Therefore, whether we can achieve effective OEM management should be considered as a necessary function when selecting type.

    At the same time, we must be able to support plug production.

    Due to changes in the market, such as abnormal weather, etc., it is common for production enterprises to receive temporary orders from customers. How to solve the problems of production plan and purchase plan changes brought by inserting orders and how to make reasonable arrangements for temporary urgent production without affecting the important customers or important production plans is a problem that clothing ERP should solve.

    Because its entry is much more than that of other industries. If it is processed by hand, the workload will be scary.

    Therefore, if we can reasonably handle the inserting orders, enterprises should take this as one of the main indicators for assessing ERP according to their actual conditions.

    In addition,

    Leftover bits and pieces

    And other special situations.

    The clothing industry also has a very common special business, that is, how to deal with leftover materials.

    A piece of cloth cut a sleeve, how to deal with the remaining cloth? How to calculate the inventory? How to get the materials when changing cloth next time? Basically, every batch of products will encounter similar problems.

    This is usually referred to as the leftover material problem. Under normal circumstances, the clothing industry will specifically design a function to solve such problems.

    In the actual selection, enterprises should pay special attention to whether this function is perfect, take a piece of cloth out, let the consultant operate in real time to see if it is in line with the company's needs.

    Besides how to deal with problems such as edge material, size and color.

    The same clothes have different sizes, different colors, if all of them are re encoded, then the material coding will increase geometrically.

    How to edit different sizes and colors of the same clothes, how to deal with the system, and whether the method can solve practical problems.

    Some softwares are solved through attribute sets, and some are solved through customization. Whatever solution is available, it is a good solution if it can help enterprises solve problems.

    In short, when choosing a business, don't listen to the software vendor consultant's explanation on the stage, put forward the problem, and do the actual simulation in the system to see if it can really solve the problem.

    Finally, accurate sales forecasting can shorten the production cycle.

    There is another feature of clothing enterprises, that is, most of them are manufactured according to the sales forecast of the market department.

    Independent brand

    Enterprises.

    The forecast of the market department directly affects the stock. If the forecast is not accurate and the actual error is large, it will lead to a backlog of stocks, which will only be sold at a discount later.

    Therefore, the ERP system should be able to provide some sales forecasting tools, and even some intelligent business analysis tools and models, so as to improve the accuracy of enterprise prediction.


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