物料计划—高端定制业务

岗位概述 获取相关数据，利用专业的方法对数据进行统计、归纳、整理以及分析，制定合理的物料计划，满足客户订单需求，做好数据支持和有效指引。 Collect relevant data and apply professional methods to conduct statistical analysis, summarization, organization, and interpretation. Develop proper material plans to meet customer order requirements while providing data support and effective guidance. 岗位职责 1. 结合生产、销售与库存数据制定物料需求计划，保障供应、防范积压；主导新品物料筹备及初始库存规划；向供应商输出SKU级滚动预测；自主搭建预测模型或应用BI工具提升计划精度与效率。 Develop material requirements plans by integrating production, sales, and inventory data to ensure supply continuity while preventing overstocking. Lead new product material preparation and initial inventory planning.

Provide SKU-level rolling forecasts to suppliers. Independently build forecasting models or utilize BI tools to enhance planning accuracy and efficiency. 2. 动态监控毛胚消耗及异常SKU，及时补货并校准安全库存参数；推动呆滞处理及库存结构优化；管控产品全生命周期库存水位；开发库存看板、自动化预警工具，实现库存主动干预。 Dynamically monitor the consumption of semi-finished goods and abnormal SKUs, ensure timely replenishment, and calibrate safety stock parameters. Drive the disposition of obsolete stock and optimize inventory structure; manage inventory levels throughout the product lifecycle; develop inventory dashboards and automated alert tools to enable proactive inventory intervention. 3. 跟进供应商逾期订单，协调交付计划；联动采购、生产及仓储，保障到货与账实一致；负责对账及发票处理；推动供应商交付数据线上化，建立绩效看板提升协同透明度。 Follow up on overdue supplier orders and coordinate delivery schedules.

Collaborate with purchasing, production, and warehousing to ensure alignment between received goods and inventory records. Manage reconciliation and invoice processing. Promote the digitalization of supplier delivery data and establish performance dashboards to enhance collaboration transparency. 4. 快速处置缺料、错料、运输延误等异常，避免生产断线；组织复盘并协同建立预防机制；同步物料风险并推动闭环解决；搭建异常案例知识库或分析模板，缩短同类问题处理周期。 Quickly address abnormalities such as material shortages, incorrect materials, and transportation delays to prevent production line stoppages.

Organize post-event reviews and collaborate on establishing preventive mechanisms. Communicate material risks and drive closed-loop resolution. Build a knowledge base of abnormal cases or analytical templates to shorten the resolution cycle for similar issues. 5. 统计分析交期达成率、库存周转率等核心指标，定位瓶颈并输出优化策略；自主设计数据仪表盘，实现关键指标自动刷新预警；运用RPA、宏脚本、低代码工具替代高频手工操作，推动流程自动化。 Statistically analyze core metrics such as on-time delivery rate and inventory turnover rate, identify bottlenecks, and propose optimization strategies.

Independently design data dashboards to enable automatic updates and alerts for key metrics. Utilize RPA, macro scripts, and low-code tools to replace high-frequency manual operations and drive process automation. 6. 完成上级领导临时交给的工作任务。 Complete other tasks temporarily assigned by supervisors. 任职资格 1. 本科或以上学历，理工科为优先，数据分析经验为优先 Bachelor's degree or above, preferably in a science or engineering discipline, with experience in data analysis preferred. 2. 善于流程优化，能主动通过数字化手段解决重复低效问题 Skilled in process optimization, with the ability to proactively address repetitive and inefficient issues through digital solutions. 3. 熟练使用Excel、VBA、Power BI、Python等 Proficient in using tools such as Excel, VBA, Power BI, Python, etc. 4. 良好英语读写和沟通能力 Good English reading, writing, and communication skills. 5. 敬业、有耐心，良好的沟通技巧 Dedicated, patient, and possessing strong communication skills.