Big data application for relieving supply chain bullwhip effect of hotel supplies

Abstract

The invention discloses big data application for relieving the supply chain bullwhip effect of hotel supplies. The structure is simple, a data acquisition module collects data generated by hotel supply chain participants in the business process, and the data can be a data basis of a whole model; a data storage module correspondingly processes heterogeneous data and structured data. Firstly, structured data sources are processed through ETL and ODS, the data is gathered from different data sources, processing such as data verification, duplication eliminating and cleaning are conducted, and the data is stored into a data warehouse for persistent storage; secondly, the heterogeneous data sources are stored into the data warehouse for persistent storage through the data obtained after MapReduce processing; a data analysis module conducts data mining on the data on the basis of the data in the data warehouse and according to requirements of the data analysis module so as to find specific modes and relations and provide data analysis results; a data display module display the data analysis results in a visual mode, a monitoring mode and the like according to requirements of users.

Description

technical field [0001] The invention relates to the data application industry, in particular to a big data application that alleviates the bullwhip effect in the supply chain of hotel supplies. Background technique [0002] In the supply chain, there are often phenomena such as inaccurate forecasting, unclear demand, unstable supply, poor cooperation and coordination among enterprises, resulting in shortage of supply, unbalanced production and transportation operations, high inventory, and high costs. . One of the main causes of these problems is the bullwhip effect. [0003] The bullwhip effect mainly refers to that when each member enterprise in the supply chain makes production or supply decisions only based on the demand information from its adjacent subordinate enterprises, the distortion of demand information will go up the supply chain step by step, resulting in The phenomenon of progressive enlargement. When the information is transmitted to the source raw materia...

AI Technical Summary

Problems solved by technology

[0006] 1. The supply chain cannot be effectively coordinated. Enterprises in the supply chain can only use the order information of their downstream enterprises as the only basis for predicting market demand data for products, and cannot form the entire supply chain based on the needs of end-users. Demand for each link in the chain

[0007] 2. Due to the inability to effectively predict demand, companies often need to adopt bulk ordering and stock preparation methods to deal with downstream demand

[0008] Obviously, this phenomenon will bring many adverse consequences to the enterprise: the safety inventory of products remains high, the service level is reduced, the overall cost of the supply chain is too high, and the degree of customer customization is low. The Overall Competitiveness of Enterprises in the Supply Chain

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