IMPROVEMENT OF THE PRODUCT MANAGEMENT SYSTEM OF THE INDUSTRIAL ENTERPRISE

2020 ◽  
Vol 1 (4) ◽  
pp. 83-89
Author(s):  
N. A. SOKOLITSYNA ◽  
Keyword(s):  
Mathematical Model ◽  
Management System ◽  
Systematic Approach ◽  
Sales Management ◽  
Industrial Enterprise ◽  
Product Management ◽  
Product Management System ◽  
Product Sales

The article substantiates the need to scale the framework of a systematic approach to product sales management through the formation of an integrated chain "producer – consumer". An economic and mathematical model has been developed, which includes parameters for product sales based on the use of modern software solutions in conditions of both prepayment and deferred payment. The author's method of product sales planning has been developed.

Development of Product Management System for Higher-Value-Added Bicycle

2011 ◽  
Vol 35 (5) ◽  
pp. 469-477 ◽  
Author(s):  
Philippe Lee ◽  
In-Hyuck Hwang ◽  
Jong-Hun Woo ◽  
Se-Won Park ◽  
Dae-Kyun Oh ◽  
...  
Keyword(s):  
Management System ◽  
Value Added ◽  
Product Management ◽  
Product Management System

scholarly journals Development of a Pharmaceutical Product Management System

2017 ◽  
Vol 43 (7) ◽  
pp. 353-361
Author(s):  
Satomi Funahashi ◽  
Noriyo Kawasumi ◽  
Naoki Takahashi ◽  
Naoki Tsumura ◽  
Takuya Torii ◽  
...  
Keyword(s):  
Management System ◽  
Pharmaceutical Product ◽  
Product Management ◽  
Product Management System

scholarly journals The Design of ERP Intelligent Sales Management System

2020 ◽  
Author(s):  
Jianghui Liu ◽  
Qiuyi Chen ◽  
Yuexing Qiu
Keyword(s):  
Artificial Intelligence ◽  
Management System ◽  
Sales Management ◽  
Third Party ◽  
Management Systems ◽  
Sales Forecasts ◽  
Multiple Data ◽  
Information Management Systems ◽  
Artificial Intelligence Technology ◽  
Product Sales

With the popularization of informatization, most companies have their own information management systems. However, faced with massive amounts of data, most companies cannot integrate and utilize its potential value. When traditional companies make sales forecasts, they usually purchase data completion, connect multiple data source channels, and then judge the future sales situation perceptually. This lack of data accumulation and analysis, and it is impossible to display the intrinsic value of the massive data in the system. Some companies will also build professional data analysis teams or seek help from third-party companies. But this will cause high expenses and greatly reduce sales expenses. This study combines artificial intelligence technology with ERP sales management system. We apply artificial intelligence, machine learning, cloud computing to the design and construction of intelligent ERP sales management system. It solves the core problems of enterprise product sales through the deep learning function of the sales system. It may predict enterprise sales and rationally allocate enterprise resources, increase product sales effectively, and help enterprises build effective modern management systems.

Design and Implementation of the Critical Functions in IETM System

2013 ◽  
Vol 756-759 ◽  
pp. 2379-2385
Author(s):  
Kai Li ◽  
Yong Wang ◽  
Mei Lin Liu ◽  
Xue Zhong Wei ◽  
Xiang Xin Liu ◽  
...  
Keyword(s):  
Information Management ◽  
Management System ◽  
Product Information ◽  
Information Management System ◽  
Product Management ◽  
Material Management ◽  
Cause Of Failure ◽  
Product Management System ◽  
Key Techniques ◽  
Conversion Technology

ETM system is a complex product information management system based on JSP and MySQL. It contains three subsystems: product management system, material management system and IETM making system. This paper first introduces the IETM system, then focuses on the key techniques involved in the management process including product information management, the association between a product and its sub-products, the product tree caused by a damaged product, the product tree used to find the cause of failure, the performance table management, the conversion technology from product information data to a S10000D document, the conversion technology from S1000D documents to a Word document and the word name repetitive judgment.

P1-357: ADCS EDC: INVESTIGATIONAL PRODUCT MANAGEMENT SYSTEM

2014 ◽  
Vol 10 ◽  
pp. P444-P445
Author(s):  
Gustavo Adolfo Jimenez-Maggiora ◽  
Ronald G. Thomas ◽  
Hongmei Qiu ◽  
Phuoc Hong ◽  
Paul S. Aisen
Keyword(s):  
Management System ◽  
Product Management ◽  
Investigational Product ◽  
Product Management System
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