Inventory Management System for Small Goods
Inventory Management System
The Inventory Management System is a specialized application designed to handle small goods inventory management using the powerful visual development tool PowerBuilder (PB). PB is a well-established, object-oriented programming environment, particularly suitable for developing enterprise-level database applications. This system is built to help users efficiently track and manage inventory, maintaining optimal stock levels and preventing overstock or stockouts.
Core Features:
Inbound Management: When new goods arrive, the system records all relevant details—such as supplier, quantity, and date—accurately adding new items to the inventory.
Outbound Management: When processing sales orders or item transfers, the system automatically reduces inventory levels of the specified goods and generates corresponding outbound documents, facilitating easy tracking.
Inventory Inquiry: Users can view the current inventory status at any time, checking quantities and locations of items to respond to market demand swiftly.
Inventory Alerts: The system triggers an alert when any item falls below the preset threshold, reminding users to restock and prevent shortages.
Stock Counting: Conduct regular stock takes to verify that actual stock matches system records, addressing any discrepancies.
Report Analysis: Provides various reports, such as inbound/outbound statistics and inventory turnover rate analysis, to help managers make data-driven decisions.
Access Control: Permissions are assigned based on employee roles, with each role limited to specific actions, ensuring data security.
System Integration: The Inventory Management System can integrate seamlessly with other business systems (e.g., ERP, CRM), enhancing overall operational efficiency.
User Interface: Applications developed in PB feature intuitive graphical user interfaces, making operations simple and lowering learning curves.
Customization: PB’s flexible development capabilities allow for system customization to meet specific business needs, catering to diverse operational scenarios.
This Inventory Management System offers significant benefits in small goods inventory management, enhancing efficiency and reducing human error. It is an indispensable tool for small goods retailers or wholesalers aiming to optimize inventory strategy, reduce costs, and increase operational efficiency.
Sybase
0
2024-10-25
video_game_sales_analysis
video game sales 数据集来自 Kaggle,提供了丰富的 video game sales 信息,适合进行市场分析与研究。
数据挖掘
0
2024-10-31
Online Survey System Data Structure and Workflow
1. Data Dictionary
1.1.1 Data Items- Zzzno: Organizer ID, Integer- Bdcno: Respondent ID (randomly generated login number), Integer- Bdcage: Respondent age, Integer- Wjno: Survey ID, Integer- Wtno: Question ID, Integer- Dckstime: Survey start time, Datetime- Dcjstime: Survey end time, Datetime- Wjmd: Survey purpose, Char(20)- Wjbt: Survey title, Char(20)- Zzznam: Organizer name, Char(10)- Wjqt: Others, Char(50)- Qyq: Question requirements, Char(50)- Bdcsex: Respondent gender, Char(10)- Bdclink: Respondent contact information, Char(50)- Qnr: Question content, Char(100)- Qxx: Question options, Char(10)- Qbz: Question notes, Char(100)- Qno: Question number, Integer
2. Data Structures
Paper: Survey structure, includes question number, question content, and options.Zzzinfprm: Organizer information, includes organizer name, ID, etc.Bdcinform: Respondent information, includes respondent ID, age, gender, etc.Question: Question information, includes question number, content, options, etc.
3. Data Flows
Random login verification: Verifies respondent login.
Organizer query: Organizers can access survey information and control functions.
4. Data Storage
Statistical data: Stores completed question information from respondents.
Question bank: Holds all questions available for surveys.
Participant data: Records information of all survey participants.
5. Processing
Survey Participation: Respondents log in using a unique ID and answer questions. Data flows into statistical records.
Organizer Functionality: Organizers log in, check statistics, manage question bank, and access result views.
Create User (Organizer): Creates respondent profiles with unique IDs and related information.
6. System Requirements
1.1 System Overview- System Scope: The system caters to both organizers, who create and manage surveys, and respondents, who answer surveys using unique IDs.
1.2 Functional RequirementsOrganizers are enabled to control survey flow, access data, and monitor responses, while respondents participate via a simplified login and answer submission process.
Access
0
2024-10-25
Shopping Mall Database Table
购物商城数据库表
Oracle
0
2024-11-04
Oracle BPM Sales-Quote 演示
Oracle BPM Sales-Quote 示例代码和文档。Oracle BPM 实例。
Oracle
1
2024-05-31
Inventory Management System Design Report for Database Course
目录
前言
在现代企业运营环境中,有效的库存管理是确保业务顺畅运行的关键因素之一。传统的手工管理方式已无法满足企业对数据和信息实时处理的需求,因此开发一个高效、智能的库存管理系统显得尤为重要。
摘要
设计并实现了一个库存管理系统,通过自动化手段提升企业库存管理的效率。系统主要功能包括入库管理、出库管理、库存查询、库存预警等,以便实现对库存状态的实时监控和分析。
第一章 概述
1.1 库存管理的必要性
库存管理的目标在于合理控制库存水平,避免库存过度导致的资金占用和成本增加,同时确保库存充足以满足生产和销售需求。合理的库存策略可以降低库存成本、提高资金周转率,进而提升企业竞争力。
1.2 库存分类
库存根据不同标准可分为:
成品库存:已完成生产的产品。
原材料库存:生产所需的原材料或零部件。
在制品库存:生产过程中尚未完成的产品。
在途库存:运输过程中的货物。
备品备件库存:维修或服务所需的备用部件。
第二章 开发背景
随着信息技术的发展,企业采用数字化手段管理库存已成趋势。数字化管理不仅提高了管理效率,还减少了操作错误。然而,如何平衡库存成本和客户服务需求,以及准确预测市场需求仍是挑战。
第三章 系统分析
在系统分析阶段,首先明确系统的功能需求:
入库管理:记录物品入库时间和数量。
出库管理:跟踪物品出库,包括发货、退货等流程。
库存查询:实时查询库存状态。
库存预警:库存低于阈值时自动报警。
数据分析:基于历史数据的销售趋势分析。
系统应具备安全性、稳定性及可扩展性等技术要求。
第四章 系统设计
4.1 数据库设计
数据库设计是系统设计的核心。采用关系型数据库,数据库主要表结构包括入库、出库、库存查询、预警等表格,以实现高效的数据存储和查询。
第五章 系统实施
系统实施阶段包括代码开发、系统测试和部署。在实施过程中,确保各模块功能的完整性和系统的稳定性。
第六章 系统使用说明
详细介绍系统的使用步骤和注意事项,包括登录、入库、出库、查询和预警功能的使用指南。
附录
参考文献
SQLServer
0
2024-10-26
Relational Database Data Structure Fundamentals of Oracle Database
关系数据库的数据结构是指一些相关的表和其他数据库对象的集合。对于关系数据库来说,关系就是表的同义词。表由行和列组成(类似二维数组的结构)。列包含一组命名的属性(也称字段),行包含一组记录,每行对应一条记录。行和列的交集称为数据项,指出了某列对应的属性在某行上的值,也称为字段值。列需定义数据类型,比如整数或者字符型的数据。
Oracle
0
2024-11-01
Oracle Rename Table语法详解
在 ORACLE 中,重命名(Rename)一个表的命令是 ALTER TABLE old_name RENAME TO new_name,而不是 RENAME old_name TO new_name。RENAME 命令仅为 SQL*Plus 的命令,不能在其他程序(如 Java、Perl)中使用。为了确保重命名操作的正确性,需使用标准的重命名语法。
重命名索引时,使用标准数据库命令: ALTER INDEX old_name RENAME TO new_name。在某些情况下,需对主键约束和主键索引重新命名,可以采用以下方法:
ALTER TABLE pc59 RENAME CONSTRAINT SYS_C00421221 TO PK_PC59;
ALTER INDEX SYS_C00421221 RENAME TO PK_PC59;
此外,某些 SQLPlus 命令需加上 ALTER 等前缀才能转化为标准数据库命令。例如: ALTER DATABASE RECOVER STANDBY DATABASE UNTIL ...。正确理解和应用 Oracle Rename Table* 语法对于数据的安全和正确性至关重要。
Oracle
0
2024-11-04
Oracle_EPM_Partner_Sales_Training_Costs
实施成本与软件许可成本
实施成本(实施成本/软件许可成本)Source: ‘OLAP Survey 4’, survey.com- Hyperion Essbase:- License Fee: $194,000- Fee Ratio: 0.9- Real Cost (derived): $368,600- SAP BW:- License Fee: $140,000- Fee Ratio: 20.3- Real Cost (derived): $2,982,000
Oracle
0
2024-11-03