How to control the order quantity of goods in Logistics Distribution

Abstract: The technology of controlling the order quantity of goods in logistics distribution controls the inventory quantity to the optimal quantity to obtain the maximum supply guarantee, which is the goal pursued by many enterprises and economists. Order Quantity is a very important factor in determining the inventory level. This article describes how to use the prediction method to determine the commodity in the logistics distribution product information and Warehouse Management System of Chongqing Mail Administration.

Abstract: The technology of controlling the order quantity of goods in logistics distribution controls the inventory quantity to the optimal quantity to obtain the maximum supply guarantee, which is the goal pursued by many enterprises and economists. Order Quantity is a very important factor in determining the inventory level. This article describes how to use the prediction method to determine the commodity in the logistics distribution product information and Warehouse Management System of Chongqing Mail Administration.

How to control the order quantity of goods in Logistics Distribution

SummaryThe goal of many enterprises and economists is to control the inventory to the optimal quantity and obtain the maximum supply guarantee. Order Quantity is a very important factor in determining the inventory level. This article describes how to use the prediction method to determine the order quantity of goods in the Chongqing Postal logistics distribution product information and warehouse management system.

KeywordsBasic data model; reserve quota; Prediction Method

The technique of how to control the number of goods 'purchase in logistics delivery

MA Gen-feng Wang Ping

(Postal Automatic Instituteof Chongqing University

Of Posts and Telecommunacations, Chongqing 400065 China)

ABSTRACT:It's the aim of your enterprise and economy sthat how to make the stocks best and get enough supply. while the number ofgoods 'purchase is much important factor to determine level of the stocks. thearticle introduces how to determin the stocks by forecasting methods in the system Chong qing Postal logisticsdelivery good information & warehouse management.

KEYWORDS:Data basic mode; repersponration; Forecasting methods

1 Introduction

The inventory control system is an important subsystem in the logistics system and an important field in the logistics research.

The goal of many enterprises and economists is to control the inventory to the optimal quantity and manage the inventory with as little manpower, material resources, and financial resources as possible to obtain the maximum supply guarantee, it is even an important part of competition between enterprises.

Order Quantity is a very important factor in determining the inventory level. Therefore, how to use the prediction and statistical methods to obtain the sales volume of goods in the next stage is the key to controlling the inventory to the optimal quantity.

2. Basic data mode in NLP

All prediction methods assume that there is a certain pattern or relation, which is identified and used as a basis for making predictions. In quantitative prediction methods, each prediction technique requires a clear assumption of the type of its basic model. Therefore, a known prediction technique can effectively predict a particular situation based on the matching between the pattern and the prediction technique that can process the pattern. The four basic models discussed are horizontal, trending, seasonal, and cyclical.

L horizontal mode: when there is no trend in the data, there is a horizontal mode.

L seasonal pattern: When a sequence fluctuates according to certain seasonal factors, there is a seasonal pattern.

L Cycle Mode: The Cycle Mode is similar to the season mode, but the length of a single cycle is usually equal

Older. Loop mode is the most difficult model to predict, because it is not repeated during the constant interval.

L trend mode: The trend mode is generally used when the variable values increase or decrease over time.

Exist.

3. Inventory Quantity Control

3.1 Reserve Quota

China's storage quantity control, commonly used storage (reserve) quota method. That is, determine the maximum amount of storage materials, and use this amount as the basis for controlling the storage quantity.

China uses two reserve quotas to control the storage quantity. One is the insurance reserve quota, and the other is the regular reserve quota. Their calculation methods are as follows:

Regular Reserve Quota = average daily consumption of materials × Reasonable Reserve days

Insurance reserve quota = average daily consumption of materials × insurance days

The actual commodity reserve volume changes between the two. It uses the regular reserve quota as the upper limit and the insurance reserve quota as the lower limit, as shown in:

3.2 replenishment method-order Point Method

LOrder point method:It means that the storage stock drops to a certain level (that is, the specified order point ),

Method of issuing a certain number of orders or incoming goods notifications. It can avoid the lagging effect of supplemental storage.

LOrder point confirmation:Order point confirmation is a forward order according to the purchase time, issued

After the order or purchase notification, the original storage will continue to be reduced to the basic depletion, and the storage will be supplemented. In the Chongqing Postal logistics distribution product information and warehouse management system, the method for determining the ordering point is based on the ordering cycle of each product.

4 control the quantity of incoming goods in Chongqing Postal logistics delivery product information and Warehouse Management System

In the Chongqing Postal logistics distribution product information and warehousing management system, two methods are used to control the commodity import volume: Reserve Quota method and prediction method. The prediction method is to control the upper limit of commodities in the inventory, that is, the predicted sales volume of commodities in the next stage, and the lower limit is 0. The advantage of this method is that zero inventory can be achieved theoretically.

4.1 Technology for predicting the sales volume of goods in Chongqing Postal logistics distribution product information and warehouse management system.

In the Chongqing mail logistics distribution product information and warehouse management system, the prediction of the commodity sales volume is mainly to generate the original purchase order, the management personnel can modify the original purchase order and finally generate the commodity purchase order.

The prediction method for the sales volume of a product is based on the sales characteristics of the product, that is, its sales volume model.

Because the sales data of different commodities follows different models, the prediction method suitable for the sales model of different commodities must be adopted. In the Chongqing Postal logistics distribution product information and warehousing management system, I have adopted three kinds of forecasting methods: Double moving average forecasting method, adaptive filtering forecasting method, and time series forecasting traditional decomposition method.

The double-moving mean prediction method is applicable to the horizontal model. The traditional decomposition method of adaptive filtering and time series prediction is applicable to more complex models, such as a combination of trend patterns, cycle patterns, and season patterns.

In complex scenarios, the traditional decomposition methods of adaptive filtering and time series prediction are as follows:

L if the length of historical data is greater than or equal to the number of cycles in the sales model, it is best to use an adaptive filtering prediction method. If the result is incorrect, the traditional decomposition method of time series prediction should be used for processing.

L if the length of historical data is [2 × number of periods in the sales model, 8 × number of periods in the sales model], the traditional decomposition method based on time series prediction is applicable. If the result is incorrect, the Adaptive Filtering prediction method should be used for processing.

L if the length of the historical data is less than 2 × the number of cycles in the sales model, the data can only be processed using the adaptive filtering prediction method.

4.2 predict the sales volume of the product to generate the original purchase order.

Prediction can be performed in two ways: one is based on the commodity reserve quota method, and the other is the prediction method. 2:

How to control the inventory to the optimal quantity is a challenge that has plagued people for thousands of years. Although the results in this field are fruitful and include mathematical, philosophical, and empirical results, it is hard to say what a panacea is, this field is a combination of methods and practices and theories. This article is a practical application that combines the prediction technology with the inventory control system. We also need to discuss this issue with you.