JMC Enterprise-level BOM Project

In recent years, the domestic car market has witnessed intensified competition. To further enhance core competitiveness, JMC initiated a deep collaboration with Gant Software and leveraged our expertise and years of hands-on experience in the BOM field. Together, we embarked on a journey to develop an enterprise-level BOM management platform that not only embraced forward-looking technology but also harmonized seamlessly with JMC's business development strategy, helping JMC improve the synergy and management efficiency across the entire product business domain.

项目简介

江铃汽车股份有限公司（以下简称“江铃汽车”）是集整车及零部件研发、制造、销售、服务于一体的中国汽车行业劲旅，在提供优质汽车产品的同时，致力于通过客制化、智能化的产品和服务满足用户个性化的需求，是中国商用车行业领军企业，也是乘用车领域标杆新势力。
在近些年国内乘用车市场竞争加剧的大环境下，为进一步提升企业核心竞争力，江铃汽车于 2021年选择与甘棠软件建立深度合作，借助甘棠软件在BOM领域的专业性以及多年的实战经验，共同致力打造一套具备前瞻性且契合江铃汽车业务发展的企业级BOM管理平台。

Project Overview

Jiangling Motors Corporation (hereinafter referred to as "JMC") is a prominent player in the Chinese automotive industry, specializing in the research, development, manufacturing, sales, and services of complete vehicles and components. While offering high-quality automotive products, the company is dedicated to meeting the personalized needs of customers through customized, intelligent products, and services. It stands as a leading enterprise in the Chinese commercial vehicle sector and serves as a benchmark innovator in the passenger car domain.
In recent years, the domestic car market has witnessed intensified competition. To further enhance core competitiveness, JMC initiated a deep collaboration with Gant Software in 2021 and leveraged our expertise and years of hands-on experience in the BOM field. Together, we embarked on a journey to develop an enterprise-level BOM management platform that not only embraced forward-looking technology but also harmonized seamlessly with JMC's business development strategy.

业务挑战

Business Challenges

● Involves multiple enterprise-level vehicle platforms with certain business variations.

● Historical master data lacks enterprise-level specifications, leading to confusion in historical vehicle data.

● There is an urgent need to address how to streamline configuration management for integrated functions such as configurable pricing and intelligent ordering.

● Fragmentation exists between various Bill of Materials (BOM) structures, with multiple manual conversion steps resulting in poor BOM consistency and a higher error rate.

● Due to a complex historical background, the platform systems in various business domains (PDM/PMS/SAP/DMS, etc.) cannot be seamlessly integrated.

甘棠方案

Our Solutions

● Master Data Management: Aids in refining enterprise-level and unified foundational master data standards, such as product lineup and product structures, to standardize master data definitions from the ground up and promote the enterprise-wide application.

● Part Management: Based on historical coding systems and industry expertise, streamlines a coding system that is compatible with history and future-oriented to ensure a unified source for part number generation.

● Configuration Management: Implements end-to-end configuration management throughout the product lifecycle, including product planning, product development, production, and marketing.

● BOM Management: Adopts an integrated BOM architecture to efficiently connect different forms of BOM data in various domains to ensuring the consistency of BOM data throughout the entire business chain.

● Change Management: Utilizes an enterprise-level end-to-end change management approach to cover change requests, engineering BOM changes, manufacturing MBOM changes, after-sales BOM changes, and the entire process of material switching on the production site. It also includes change management for data entities related to product configurations, BOMs, and parts and components.

● BOM Application: Deeply integrates with PDM, procurement, SAP cost information systems to provide multidimensional cost analysis reports and support complete vehicle cost tracking during the project development stage. Additionally, it incorporates vehicle software configurations into enterprise-level BOM system management, thus efficiently transmitting vehicle software configuration data to the production side.

● Engine BOM Management: Extends the vehicle BOM management model to engine BOM management to transition from the previous standalone BOM model to a super BOM model.

● Special Order BOM Management: Supports online management of special order BOMs, and seamlessly integrates material and BOM data with the SAP production system.

项目成果

Project Achievements

规范产品型谱、产品结构等主数据定义标准，为整车正向开发奠定夯实的基础
零件主数据统一管理，覆盖研发、采购、制造、生产、售后等各个领域，消除零件主数据源头不统一、各领域件号不一致等问题
实现了配置管理的研、产、销全线贯通，通过销售配置模块上线，优化了定价和点单业务，使得定价和点单范围与工程开发的范围相匹配，降低了特殊订单的比例，提高了订单处理的效率，同时整车编码在必要的时候产生，而不是事先生成，大大降低了管理成本和出错率
通过线上一体化BOM管理模式，消除BOM在产品开发全过程不同业务域流转中BOM 手工转换带来的信息错位、不一致等问题，打破各业务领域之间的信息壁垒
实现端到端变更管理模式，同时变更与BOM数据建立紧耦合的关系，提升变更管理效率及BOM数据准确性

Standardizes master data definitions such as product lineup and product structures, laying a solid foundation for forward vehicle development.

Unified part master data management covers various areas including R&D, procurement, manufacturing, production, and after-sales, and eliminates issues related to inconsistent part master data sources and part numbers in different domains.

Achieves end-to-end integration of configuration management across R&D, production and sales, introduces the sales configuration module, and optimizes pricing and ordering processes. This alignment of pricing and ordering scope with engineering development reduces the proportion of special orders, enhances order processing efficiency, and ensures that vehicle codes are generated when necessary, thus lowering management costs and error rates significantly.

Through online integrated BOM management, it eliminates problems such as misalignment and inconsistencies in BOMs during different stages of product development across various business domains and breaks down information barriers between different business areas.

Implements an end-to-end change management model while establishing a close-coupled relationship between changes and BOM data, which improves change management efficiency and BOM data accuracy.