Logistic warehousing and storaging decision supporting system

A decision support system and warehousing technology, applied in the system field of information engineering technology, which can solve the problems of no forecast, no guarantee of sales volume, no consideration of sales trends, etc.

Inactive Publication Date: 2006-03-01
SHANGHAI JIAO TONG UNIV
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AI Technical Summary

Problems solved by technology

Its shortcomings are: 1. It only predicts the future demand of a product this year based on the historical data of the same period last year, without considering the sales trend of this year
2. Using the same method to determine the safety stock of all commodities does not take into account the diversity of the actual commodity inventory status. In the case of insufficient storage space or insufficient transportation capacity, it is impossible to guarantee the priority supply of commodities with large sales volume and high profits
3. When considering the purchase time and quantity of goods, the turnover rate of goods is not analyzed
4. There is no proposal to generate a comprehensive purchase report for commodities based on commodity demand forecasts, safety stocks, and commodity turnover rates

Method used

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  • Logistic warehousing and storaging decision supporting system

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Embodiment Construction

[0014] In conjunction with the system of the present invention, the following embodiments are provided:

[0015] like figure 1 As shown, the basic components of the system include order and inventory information input module, demand forecast module, inventory improvement module, safety stock analysis module, commodity turnover analysis module and comprehensive purchase report module. The order and inventory information input module is responsible for the input and modification of order confidence and inventory information; the demand forecast module uses data mining technology to analyze the historical sales data of previous years in the database, and combines the sales trend of the first few months of this year to predict future data. Monthly commodity demand is forecasted; the inventory improvement module mainly classifies the characteristics of each commodity, so that the safety stock analysis module can formulate the safety stock quantity for each commodity; the safety sto...

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Abstract

The present invention relates to a logistical warehousing and storage activities decision supporting system includes the following modules: order and stock information log-in module, demand fore casting module, stock improving module, safety stock analysis module, commodity turnover rate analysis module and comprehensive purchase report module. Said invention also provides the concrete function of every module and the working principle of said system.

Description

technical field [0001] The invention relates to a system in the technical field of information engineering, specifically, a logistics storage decision support system. Background technique [0002] Logistics is an important aspect of supply chain management. With the rapid development of information technology, logistics has gradually shifted from the original low-level traditional logistics to modern logistics. The core of modern logistics lies in informatization. Timely and accurate acquisition and use of logistics information in logistics activities has a great effect on improving logistics efficiency, reducing logistics costs and meeting customer needs. At present, many countries in the world have begun to pay attention to the construction of logistics information platforms. In my country, with the rapid development of logistics industry in recent years, various provinces and cities are also conducting research and construction of logistics information platforms. The de...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/00G06Q10/06
Inventor 马范援王勃胡健黄金虎
Owner SHANGHAI JIAO TONG UNIV
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