fashion products online

Production planning in the apparel industry

 Many retailers of fashion products face unusual fashion products online customer behavior due to different types of products, long hauling distances of finished products, fashion products website long production and delivery times, short product sales times, and low demand forecasting capabilities. .. The need to transport large quantities of goods through a supplier distribution center in order to improperly select customers results in improper storage and labor use, as well as additional transportation.

 This chapter describes how frequency identification technology (RFID) can be used to identify and track individual clothing and packages, allowing customers to make specific choices before they are manufactured in the factory fashion products website. This eliminates the need for storage, sorting and packing in the warehouse. This chapter describes one of the key tools in software and describes the need and requirements to implement RFID technology to provide retailers with flexible product support. Research related to CAD garments has been reported for decades to support fashion development. , Follow a 2D to 3D view or follow a 3D to 2D approach. 2D to 3D approach of 3D monks (Sol and King, Volvo and Magnet-Talman in 2006, Men Meng et al in 2005, 2010 and 2012 are 2D sample pieces around Kim and Park)

 .. A sampling and fitting process is created. , 2006). In a 2D to 3D approach, digital samples of 2D garments are first digitized via paper samples or provided by computer-generated drafts. The 2D digital model fashion products company is then wrapped in a 3D human model to mimic the effects of proper evaluation in 3D space (Cho et al., 2005). 3D human models are often scanned or discovered by obstacles (Zhou et al., 2013). It is worth noting that the 2D to 3D approach uses virtual sewing anchors to create traditional 2D patterns and tune the normal "sampling" process.

 

The patrol can change the 2D pattern as needed and redirect it to check the fitting again. This method is repeated until you have a satisfactory insight. This reduces the size of the sampling period for checking the design and optimizing the fitting, speeding up the way garments are developed. Suitable CAD systems for clothing such as OptiTex, Browser and Modrias 3D Fit follow a 2D to 3D approach.

In contrast, the 3D to 2D approach creates 3D garments based on human digital models and transforms the surface of 3D garments into 2D patterns (Wang, 2005; ChouOt. 2006, Huang, 2011). 3D costume modeling is part of 3D and 2D costume design and patterning. These are often geometric foundations (Fontana et al., 2006) or physical foundations (Choi and Koo, 2005). After the 3D modeling stage, the 3D dress is unfolded in 2D patterns.

 This process involves surface flattening. This means that given the surface and material properties of the 3D framework, it traces the coherent pattern on the plane and establishes a connection between the two when the 2D pattern is repeatedly attached to the 3D surface. .. Minimization (McCartney et al., 1999).

As already mentioned, fashion products have a short lifespan. It is difficult to quickly identify style trends and determine the right inventory level. In addition, time is important. Bad migration decisions are known to lead to more serious or avoidance issues. Affecting demand uncertainty and readiness to maintain securities inventories is an accepted method for new products in fashion. However non fashion products

, this is more expensive because the safety stock is used as a buffer. 

To influence this issue, you need to effectively estimate the size of your personal fashion product's safety stock fashion product marketing. In order for a company to properly plan its existing investment, it also needs to predict the amount of essential safety stock and advanced information technology such as ANN.

At the work of Li et al. (2008), ANN multi-read feedforward network backlink provided to predict the registration level of the propagation algorithm (Figure 5.3 fashion products images). ANN is a relationship between neurons because it is made up of neurons. The ANNs they proposed will be added to positive propaganda and back propaganda. In positive propagation, the state of one neuron in the sequence affects only the state of the next layer of neurons. If the expected result is not achieved at the event level, the network reenters the process clothing products to sell.