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README
Apache-2.0

项目背景

目前市面上可以使用的APS系统较少,价格也让很多制造业企业望而却步,科学的生产排程是企业从传统生产迈向智能生产的重要一环,因此我们深度调研国内大、中、小型制造业市场,获取企业最真实的需求 ,全身心投入精力完全自主研发,在反复的研磨与测试后推出了符合中国制造业的APS高级排程系统,帮助企业解决生产痛点,为工业4.0智造转型贡献自己的力量。


📜系统介绍

灯塔APS高级生产计划排程是一款基于有限资源进行合理排产实现精准计划的排产类工业软件,主要为企业提供一种高度可配置的计划排产解决方案,能够根据不同业务需求和资源情况进行优化。自动生成生产计划,提高资源利用率,减少生产停机时间,并确保订单按时交付。

灯塔APS系统包括生产计划、甘特图排产、工序计划、齐套分析、生产采购计划、建议计划、设备负荷率等功能,帮助企业更合理地规划和管理生产过程、资源和物料,提高生产效率,实现效益的持续增长。对于二次开发而言具有高度可定制性和可扩展性,可以根据企业的实际需求进行二次开发。后期我们将持续关注市场声音,根据用户反馈持续进行更新迭代,让系统不断完善和强大,给更多的企业和开发者带来实质性的帮助!

🎯适用场景

- 支持通用设备制造、汽车制造、电子行业、金属制品等离散型及半离散型制造业企业使用,后期将不断升级产品,推出通用型的APS产品,敬请期待……

👑项目特点

 开源:APS高级计划排程系统是一个开源项目,可在Gitte平台上下载获取。
 可扩展性:项目具有良好的可扩展性,可以根据企业的特定需求进行定制和扩展。技术小白可轻松上手。
 技术支持:提供技术支持和更新,以确保系统的稳定性和可维护性。

🏅核心功能

生产计划生成 :APS系统能够自动生成生产计划,考虑到各种因素,如订单需求、库存水平、资源可用性等,以确保生产计划的最佳性和实施可行性。

资源优化 :系统可以有效地管理生产资源,包括机器、设备、人力和原材料,以确保它们在生产过程中得到最佳的利用。

库存管理 :APS系统可以帮助企业优化库存水平,以减少库存成本,同时确保能够及时满足订单需求。

交付时间承诺 :通过考虑各种因素,如生产能力、交通情况和供应链延迟,APS系统可以帮助企业做出准确的交付时间承诺。

供应链协同 :APS系统可以协调整个供应链中的各个环节,以确保各方的活动都能够协同工作,以提高整体效率和响应能力。

实时监控和反馈 :提供实时监控功能,以甘特图形式展现,以跟踪生产进度、资源利用率和库存水平,并能够及时作出调整以应对变化情况。

数据分析和报告 :系统自动生成建议计划、采购计划、齐套分析、设备负荷率等报表,以帮助企业了解其生产绩效、瓶颈和改进机会。

技术支持

系统演示联系客服获取 销售联系方式👇

咨询客服
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VX号:18158554030

系统功能图

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技术选型

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前后端技术选型

技术 说明
Spring&Spring Boot Java基础开发框架
Spring Security 安全框架
Swagger&smart-doc 文档生成工具
MyBatis-Plus 数据层代码生成
RabbitMq 消息队列
Redis 分布式缓存
Druid 数据库连接池
JWT&OAuth2 登录认证授权
Lombok 对象封装工具
Maven&Jenkins 自动化部署工具
Sonarqube 后端代码质量控制
Docker&kubernetes 应用容器部署
elementUI-plus 组件库
Vue.js 前端JavaScript 框架
Vue-router 前端路由
Pinia 状态管理
TypeScript JavaScript 超集
hook&Eslint&Stylelint&Prettier 前端代码质量控制

部分代码展示

代码展示1 代码展示2 代码展示3 代码展示4

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使用须知

  • 允许用于个人学习、毕业设计、教学案例、公益事业;

  • 🚫禁止将本项目的代码和资源进行任何形式的出售,产生的一切后果和责任由侵权者自负。

🚀 参与贡献-Participate in contributing 在此特别鸣谢项目中付出大量心血的团队成员:

 项目发起人:启三哥

 产品:丹丹、美少女

 系统总架构师:老余、彭强

 技术工程师:老余、无敌、琉璃、阿宝、阿强、阿勇

 UI设计:小王

 测试:财富、双双

 精益顾问:老孙

 运维:不吃辣的子奇

欢迎来到我们的开源项目!创新、协作、高质量的代码。您的Star🌟,是我们前进的动力! 💪✨🏆

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简介

生产计划开源系统 生产计划甘特图排产 APS工序生产计划 齐套分析 生产计划采购计划 生产计划排程系统源码 可二开的生产排程系统。基于有限产能进行合理排产实现精准计划的排产类工业软件,为企业提供高度可配置的计划排产解决方案,根据不同业务需求和资源情况进行优化。自动生成生产计划,提高资源利用率,减少生产停机时间,确保订单按时交付。 展开 收起
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