GIC · 智能制造运营改造GIC · SMART MANUFACTURING TRANSFORMATION

用精益重构流程
用6Sigma验证改善
让AI进入日常运营
Redesign work with Lean
validate change with 6Sigma
embed AI in daily operations

打通客户需求、设计、供应商零部件、质量、物料与生产数据,让AI处理复杂信息、协调跨部门任务,并在Human Gate下追踪到关闭。

Connect customer requirements, design, supplier components, quality, material and production data. Use AI to process complexity, orchestrate cross-functional work and track closure under human gates.

制造运营、数据与AI工作流工程制图
LEAN6SigmaAI WORKFLOWHUMAN GATE
01数据流DATA FLOW

客户、设计、供应商与生产使用同一事实One source of truth across customer, design, supplier and production

02复杂信息COMPLEX INFORMATION

自动提取、关联、比较、识别缺失与风险Extract, connect, compare and identify gaps and risk

03跨部门协作CROSS-FUNCTIONAL WORK

明确Owner、审批、升级、写回与关闭Make owners, approvals, escalation, write-back and closure explicit

04CONTROL

用同一指标验证改善并持续管控Validate improvement on one basis and sustain control

整体方法OPERATING METHOD

精益消除浪费,6Sigma验证改善,AI打通数据流并推动跨部门闭环Lean removes waste, 6Sigma validates improvement, and AI connects data and cross-functional closure

制造问题很少只存在于一个系统或部门。GIC先确定正确流程与可信测量,再让AI进入需要跨系统读取、复杂信息处理和组织协同的环节。

Manufacturing problems rarely sit inside one system or function. GIC first establishes the right process and trusted measurement, then embeds AI where cross-system reading, complex information and coordination add value.

01 · LEAN OPERATING SYSTEM

从客户价值与真实价值流出发Start from customer value and the real value stream

识别等待、返工、库存、搬运、过量生产、重复录入和决策延迟;明确标准作业、节拍、拉动、WIPWork in Process,在制品限制、异常反应与流程Owner。Expose waiting, rework, inventory, motion, overproduction, re-entry and decision delay; define standard work, takt, pull, WIPWork in Process limits, reaction and ownership.

先确定什么工作值得保留First define what work should remain
02 · 6Sigma EVIDENCE

用DMAIC证明问题、原因与结果Use DMAIC to prove the problem, cause and result

定义业务Y与CTQ,确认测量系统、数据口径和过程稳定性;验证关键原因,并用同一指标比较改造前后结果。Define business Y and CTQs, validate measurement, data definitions and stability, verify causes and compare before and after on one basis.

避免把波动误认为改善Do not mistake variation for improvement
03 · AI-EMBEDDED OPERATIONS

连接数据、处理复杂信息、协调人员Connect data, process complexity and coordinate people

读取ERP、MES、QMS、PLM、WMS、文件和设备事件;形成影响清单、证据包和处理方案;推动审批、升级、写回、复测与关闭。Read enterprise systems, files and equipment events; create impact lists, evidence and options; route approvals, escalation, write-back, retest and closure.

人员保留工程、质量与商业决定People retain engineering, quality and commercial decisions
进入AI的判断标准WHEN AI SHOULD ENTER能消除的先消除,能标准化的先标准化,能由确定性规则处理的先规则化;AI只进入需要跨系统读取、复杂信息处理和组织协同,并能产生可验证增量价值的环节。Eliminate first, standardize second, use deterministic rules where possible, and add AI only where cross-system complexity and coordination create measurable incremental value.
六类业务系统SIX AGENT SYSTEMS

每一类Agent都从真实事件开始,并以可验证结果结束Every agent starts from a real event and ends in a verifiable result

六类Agent不是六个聊天机器人。每类都明确业务问题、数据读取、实际输出、Human Gate和Control指标。

These are not six chatbots. Each defines the operating problem, data reads, client output, human gate and Control metrics.

01 · VALUE STREAM

价值流与运营诊断AgentValue-stream and operating diagnosis agent

现场问题OPERATING ISSUE

交付周期持续延长,WIP上升,会议仍在核对ERP、MES、QMS与Excel。Lead time rises and WIP grows while meetings still reconcile ERP, MES, QMS and spreadsheets.

Agent运行AGENT WORKFLOW

重建订单流、物料流与信息流;识别等待、返工、瓶颈、受影响订单和责任断点。Reconstruct order, material and information flows; expose waiting, rework, bottlenecks, affected orders and ownership gaps.

实际输出CLIENT OUTPUT

价值流视图、损失清单、改善优先级、Owner与关闭证据。Value-stream view, loss list, priorities, owners and closure evidence.

数据准备−50%—70%|异常到Owner−30%—50%Data preparation −50–70%|event-to-owner −30–50%
HUMAN GATE
客户价值、范围、资源与改善优先级Customer value, scope, resources and improvement priority
02 · MEASUREMENT TRUST

测量与过程可信度AgentMeasurement and process trust agent

现场问题OPERATING ISSUE

不同量具、检验员、班次或程序版本对同一CTQ给出不同结论。Different gauges, inspectors, shifts or program revisions give conflicting CTQ results.

Agent运行AGENT WORKFLOW

关联测量结果、校准、程序版本、环境与复测;标记不可用数据并发起MSA任务。Link results, calibration, program revisions, environment and retest; quarantine unusable data and initiate MSA tasks.

实际输出CLIENT OUTPUT

可信度状态、偏差报告、复测任务与AI可用性Gate。Trust status, bias report, retest tasks and AI-readiness gate.

可信度检查−40%—60%|无效复测−20%—40%Trust checks −40–60%|invalid retest −20–40%
HUMAN GATE
金标准、测量方法、Hold与统计判断Gold standard, measurement method, hold and statistical judgment
03 · QUALITY & RCCA

内建质量与RCCARoot Cause and Corrective Action,根本原因与纠正措施 AgentBuilt-in quality and RCCARoot Cause and Corrective Action agent

现场问题OPERATING ISSUE

终检超差后,批次、WIP、设备、物料、工艺与版本证据分散。After an inspection failure, lot, WIP, equipment, material, process and revision evidence is fragmented.

Agent运行AGENT WORKFLOW

生成追溯范围、缺失证据、围堵任务和RCCA草稿;跟踪复测、有效性与复发。Generate traceability scope, evidence gaps, containment tasks and RCCA draft; track retest, effectiveness and recurrence.

实际输出CLIENT OUTPUT

影响清单、证据包、RCCA任务、QMS写回与关闭记录。Impact list, evidence pack, RCCA tasks, QMS write-back and closure record.

证据准备−50%—70%|关闭周期−20%—40%Evidence preparation −50–70%|closure cycle −20–40%
HUMAN GATE
Quality Hold、根因、处置、工程变更与放行Quality hold, root cause, disposition, engineering change and release
04 · MATERIAL & SCHEDULE

物料、流动与智能排产AgentMaterial, flow and scheduling agent

现场问题OPERATING ISSUE

供应商延期、待检物料、设备维护与订单变化同时发生,排程失去可行性。Supplier delay, inspection hold, maintenance and order change make the schedule infeasible.

Agent运行AGENT WORKFLOW

连接订单、BOM、库存、在途、质量状态和有限产能;比较调拨、替代、加急与重排方案。Connect orders, BOM, inventory, transit, quality state and finite capacity; compare transfer, substitute, expedite and reschedule options.

实际输出CLIENT OUTPUT

风险队列、受影响订单、可行恢复方案与跨部门审批。Risk queue, affected orders, feasible recovery options and cross-functional approvals.

齐套/排程准备−50%—70%|计划外调整−15%—30%Readiness/schedule prep −50–70%|unplanned change −15–30%
HUMAN GATE
Frozen Zone、替代料、排程批准与客户承诺Frozen zone, substitutes, schedule approval and customer commitment
05 · RELIABILITY & DOE

设备可靠性与结构化试验AgentEquipment reliability and structured-experiment agent

现场问题OPERATING ISSUE

瓶颈设备反复故障,报警、维修、参数和质量结果没有形成事件链。A bottleneck repeatedly fails while alarms, maintenance, parameters and quality remain disconnected.

Agent运行AGENT WORKFLOW

组织90天历史、相似故障和数据缺口;生成检查顺序与DOEDesign of Experiments,试验设计草案并跟踪验证。Organize 90-day history, similar failures and data gaps; prepare checks and DOEDesign of Experiments draft and track validation.

实际输出CLIENT OUTPUT

设备事件时间线、原因假设、试验计划、措施与复发监控。Equipment-event timeline, hypotheses, experiment plan, actions and recurrence monitoring.

资料收集−50%—70%|MTTRMean Time to Repair,平均修复时间目标−15%—30%Evidence collection −50–70%|target MTTRMean Time to Repair −15–30%
HUMAN GATE
安全隔离、开停机、根因与参数变更Safety isolation, start/stop, root cause and parameter change
06 · GEMBA & CONTROL

精益领导、Gemba现场观察与现场管理与Control AgentLean leadership, Gembashop-floor observation and management and Control agent

现场问题OPERATING ISSUE

改善行动分散、逾期且缺少证据,同类问题关闭后仍然复发。Improvement actions are fragmented, overdue and unsupported while closed issues recur.

Agent运行AGENT WORKFLOW

准备Gemba事实包,关联行动、Owner、标准、培训和业务指标;监控逾期、复发与漂移。Prepare Gemba fact packs; link actions, owners, standards, training and metrics; monitor overdue work, recurrence and drift.

实际输出CLIENT OUTPUT

每日Control看板、行动闭环、标准更新与阶段复盘。Daily Control board, action closure, standard updates and phase review.

会议准备−40%—60%|逾期行动−30%—50%Meeting preparation −40–60%|overdue actions −30–50%
HUMAN GATE
现场判断、辅导、资源配置与流程Owner责任Gemba judgment, coaching, resource allocation and process-owner accountability

以上百分比为试点建议验证目标,不代表客户既有实绩或固定承诺;正式项目在Define与Measure阶段确认基线。Percentages are pilot validation targets, not achieved client results or guarantees. Baselines are confirmed during Define and Measure.

现场落地环节Field delivery

FDE只承担最后一公里:把已经选定的改善机会变成现场可运行的流程FDE owns the last mile: turning a selected improvement opportunity into an operating workflow

FDE不是整套材料的主角,而是精益与6Sigma方法落到真实数据、真实责任和真实班次时的一种交付角色。

FDE is not the center of the proposition. It is the delivery role that carries Lean and 6Sigma into real data, ownership and shifts.

现场实施工程师与质量负责人跟随真实质量事件

从一个有损失、有数据、有Owner的真实事件开始Start with one real event with loss, data and an owner

团队不先设计“大而全平台”,而是跟随异常、缺料或工程变更,确认As-Is、损失、标准、测量、权限和关闭条件,再决定最小接入范围。

The team does not begin with a broad platform. It follows an exception, shortage or engineering change, then confirms the As-Is, loss, standards, measurement, authority and closure conditions.

交付判断:Delivery test: 客户能够实际操作,流程可以追溯,异常可以转人工和回退,效果能用精益与6Sigma指标验证。Users can operate it, work is traceable, exceptions can fall back to people, and impact is verifiable through Lean and 6Sigma measures.
三个首购FDE SprintThree starting FDE sprints

先买一个明确的结果,不必先买一个大平台Buy one defined result before a broad platform

01

质量异常与RCCA闭环Quality exception & RCCA closure

面向检验不合格、客户投诉、设备异常和重复缺陷。For inspection failures, complaints, equipment events and recurring defects.

  • 关联批次、WIP、设备、物料、工艺和版本Link lots, WIP, equipment, material, process and revision
  • 准备围堵证据、影响范围与行动任务Prepare containment evidence, impact and actions
  • 跟踪复测、有效性与复发Track retest, effectiveness and recurrence

验证:Validate: 响应时间、关闭周期、证据完整率、重复发生率response time, closure cycle, evidence completeness, recurrence

02

物料齐套与交付风险Material readiness & delivery risk

面向缺料、待检、供应商延期、订单变化和排程冲突。For shortages, inspection holds, supplier delays, order changes and schedule conflict.

  • 连接订单、BOM、库存、在途和供应商承诺Connect orders, BOM, inventory, transit and commitments
  • 识别受影响订单与停线窗口Identify affected orders and line-stop windows
  • 比较调拨、替代、加急和重排方案Compare transfer, substitute, expedite and reschedule options

验证:Validate: 预警提前量、齐套率、缺料停线、OTIFwarning lead, readiness, shortage downtime and OTIF

03

工程数据链与变更协同Engineering data chain & change coordination

面向新项目资料进入、图纸/BOM变化和供应商资料更新。For new project inputs, drawing/BOM changes and supplier updates.

  • 统一设计输入、版本、零部件与供应商关系Align design inputs, revisions, components and suppliers
  • 检查资料缺口与变更影响范围Check information gaps and change impact
  • 准备PLM/BOM记录、审批和发布证据Prepare PLM/BOM records, approvals and release evidence

验证:Validate: 查找时间、重复录入、版本错误、变更周期search time, duplicate entry, revision error and change cycle

FDE进入现场的前10天The first 10 days in the field

不做大而全规划,先把一个真实事件走完Follow one real event before planning at scale

01—02

跟随真实事件Follow real work

观察异常、缺料或工程变更如何跨系统、文件、会议与人员流转。Observe an exception, shortage or change across systems, files, meetings and people.

03—04

重建As-Is与损失Rebuild As-Is and loss

确认等待、返工、风险、业务基线、流程Owner和事实来源。Confirm waiting, rework, risk, baseline, owner and source of truth.

05—06

定义Workflow合同Define the workflow contract

明确触发、数据、规则、AI动作、人工批准、输出、写回与回退。Define trigger, data, rules, AI action, human approval, output, write-back and fallback.

07—08

接入最小数据包Connect minimum data

从API、数据库、Excel、PDF、邮件或设备事件开始,并配置Shadow Mode。Start from APIs, databases, Excel, PDF, email or equipment events and configure shadow mode.

09—10

运行真实样本Run real samples

记录正确、错误、人工修改和异常,确定试点范围与验收标准。Record correct results, errors, overrides and exceptions; lock pilot scope and acceptance.

四阶段合作路径Four-stage engagement

投入随证据逐步增加,每一阶段都可以决定扩大、调整或停止Investment grows with evidence, with a decision gate at every stage

30 MIN

机会梳理Opportunity mapping

确认一个高频事件、业务损失、Owner、已有数据和专业决定边界。Identify one recurring event, loss, owner, available data and decision boundary.

输出:一页机会判断Output: one-page opportunity view
1—2 WKS

FDE诊断FDE diagnosis

完成As-Is、基线、最低数据/流程包、Workflow合同和风险Gate。Complete As-Is, baseline, minimum data/process package, workflow contract and risk gates.

继续条件:范围与验收可执行Gate: executable scope and acceptance
2—4 WKS

Shadow Pilot

AI先建议、不自动执行,与人工流程比较正确性、错误、耗时和人工接管。AI recommends without acting and is compared with human work on correctness, errors, time and takeover.

继续条件:技术、流程和业务证据成立Gate: technical, process and business evidence
6—12 WKS

生产化及60—90天ControlProduction & 60–90 day Control

加入权限、审批、写回、监控、培训和运行复盘,验证稳定后再复制到相邻场景。Add permissions, approvals, write-back, monitoring, training and operating review, then scale after stability is proven.

验收:可操作、可追溯、可回退、可度量Acceptance: operable, traceable, reversible and measurable
跨部门旗舰案例FLAGSHIP CROSS-FUNCTIONAL CASE

从客户需求到生产发布,让同一份工程数据只确认一次、全流程持续复用From customer requirement to production release, confirm engineering data once and reuse it throughout

参考近期工程数据链项目方法进行匿名化重构。示意时间、数量和金额用于解释工作方式,不代表客户实绩。

An anonymized illustration based on recent engineering data-chain methodology. Times, quantities and values explain the workflow and are not client results.

客户需求、设计、供应商零部件、PLM BOM和生产统一数据流
客户资料进入 → 受控设计输入 → 零部件与供应商包 → CAD设计 → PLM/BOM → 质量/工艺 → 生产Customer inputs → controlled design inputs → component and supplier package → CAD → PLM/BOM → quality/process → production
01 · INPUT

客户需求进入Customer requirements

PDF、STP、规格、接口与邮件全部保留来源、版本和项目编号。PDF, STP, specifications, interfaces and email retain source, revision and project identity.

02 · STRUCTURE

形成受控设计输入Controlled design input

提取要求、硬约束、缺失和冲突;工程师确认后进入设计。Extract requirements, hard constraints, gaps and conflicts; engineering confirms before design.

03 · COMPONENT

匹配供应商零部件Match supplier components

连接内部编号、供应商型号、规格书、二维图、三维模型和批准状态。Connect internal number, supplier model, specification, 2D/3D files and approval state.

04 · DESIGN

设计、复用与检查Design, reuse and check

调用批准模型,CAD API生成视图和标注草稿,工程师处理例外。Reuse approved models; CAD APIs prepare views and annotations; engineers handle exceptions.

05 · RELEASE

PLM / BOM

生成录入草稿,检查图纸、模型、物料、BOM和版本一致性。Prepare entries and check drawing, model, material, BOM and revision consistency.

06 · PRODUCTION

下游生产准备Production readiness

采购、质量、工艺和生产接收同一受控版本与准备任务。Procurement, quality, process and production receive one controlled version and readiness tasks.

ENGINEERING CHANGE客户Rev.C到达时,不只修改图纸When customer Rev.C arrives, do more than update a drawing

自动比较需求差异,识别受影响图纸、零件、供应商资料、采购订单、WIP、PFMEA、Control Plan、SOP和排程;由工程、质量、采购、计划和客户负责人审批后统一发布。Compare requirement differences; identify affected drawings, components, supplier files, POs, WIP, PFMEA, Control Plan, SOP and schedule; release only after engineering, quality, procurement, planning and account approval.

40%—60%设计输入准备时间目标design-input preparation target
50%—80%零部件检索时间目标component-search target
50%—70%PLM/BOM准备时间目标PLM/BOM preparation target
15%—30%端到端周期目标end-to-end cycle target
端到端具体示例Concrete end-to-end example

阀体孔径超差:从5件不合格追溯到一台设备、一次换刀和480件风险批次Valve-body bore deviation: trace five failures to one machine, one tool change and a 480-piece risk lot

以下为脱敏示意案例:精密加工阀体的关键孔径规格为Ø12.000 ±0.015 mm。终检抽检16件,其中5件出现+0.022至+0.041 mm超差。批次、数量与参数用于说明具体工作方式,不代表客户实绩。

An anonymized illustration: a precision-machined valve body has a critical bore specification of Ø12.000 ±0.015 mm. Five of 16 final-inspection samples measure +0.022 to +0.041 mm out of tolerance. Identifiers and values explain the workflow and are not client results.

质量异常追溯、Human Gate与Control闭环

批次B2407 · CNC-07 · 刀具T12Lot B2407 · CNC-07 · Tool T12

Agent负责在分钟级汇集分散事实并形成可审核建议;质量、工程和生产负责人决定Hold、停机、根因与放行。The agent assembles fragmented facts into an auditable recommendation within minutes; quality, engineering and production own hold, stop, root-cause and release decisions.

01 · 09:18 TRIGGERCMM触发异常CMM exception

批次B2407抽检16件,5件孔径超过Ø12.015 mm上限Five of 16 samples from lot B2407 exceed the Ø12.015 mm upper limit

02 · 09:20 TRACE锁定480件风险范围Bound the 480-piece risk lot

关联160件成品、320件在制品、工单、材料炉号、程序Rev.C与CNC-07Link 160 finished pieces, 320 WIP, work order, material heat, program Rev.C and CNC-07

03 · 09:23 CORRELATE发现换刀后的偏移Find post-change drift

时间线显示02:10更换T12;随后孔径均值连续上移,量具校准仍有效Timeline shows T12 changed at 02:10, followed by sustained upward drift; gauge calibration remains valid

04 · 09:27 OUTPUT生成证据包与围堵建议Prepare evidence and containment

建议Hold B2407、暂停CNC-07、100%复检160件成品,并检查刀具跳动与补偿值Recommend holding B2407, pausing CNC-07, 100% inspecting 160 finished pieces, and checking runout and offsets

05 · 09:35 HUMAN GATE质量与工程批准Quality and engineering approval

质量经理批准Hold与复检;工程师确认刀具装夹偏摆为根因并批准参数恢复Quality approves hold/reinspection; engineering confirms tool-clamping runout as root cause and approves offset restoration

06 · WRITE-BACK写回QMS、MES与维护任务Write back to QMS, MES and maintenance

记录受影响序列、复检结果、Owner、期限、维修动作、参数与审批证据Record affected serials, results, owners, due dates, maintenance actions, parameters and approvals

07 · CONTROL验证三批并防止复发Verify three lots and prevent recurrence

连续三批恢复稳定后放行;把T12寿命预警从900件提前到750件,并监控30天复发Release after three stable lots; move the T12 life warning from 900 to 750 pieces and monitor recurrence for 30 days

AI可信度GateAI trust gate

先确认数据可信,再判断AI准确;先确认流程稳定,再判断改善有效Trust the data before scoring AI. Stabilize the process before claiming improvement

专业门槛不是术语密度,而是能否证明系统在真实班次、设备、产品和边界条件下可靠运行。

Professional depth is not jargon density. It is the ability to prove reliability across real shifts, equipment, products and boundary conditions.

01

业务问题GateBusiness-problem gate

关键Y、损失、范围、Owner和基线是否明确。Are key Y, loss, scope, owner and baseline explicit?

02

测量系统GateMeasurement-system gate

检验员、设备、班次与模型版本的重复性和一致性是否可接受。Are repeatability and agreement across inspectors, devices, shifts and model versions acceptable?

03

流程稳定GateProcess-stability gate

控制限与规格限是否分开,特殊原因是否已处理。Are control and specification limits separated, and special causes addressed?

04

样本覆盖GateSample-coverage gate

是否覆盖班次、型号、设备、边界样本与低频高风险情况。Does the sample cover shifts, models, equipment, edge cases and rare high-risk events?

05

错误成本GateError-cost gate

误报、漏报、错误执行与人工接管成本是否量化。Are false-positive, false-negative, wrong-action and takeover costs defined?

06

权限与规则GateAuthority and rule gate

硬约束、禁止动作、审批、回退和系统权限是否可执行。Are hard constraints, prohibited actions, approvals, rollback and permissions enforceable?

07

试点证据GatePilot-evidence gate

样本量、最小有意义改善、窗口和停止条件是否预先确定。Are sample size, meaningful improvement, window and stop conditions pre-agreed?

08

持续Control GateSustained-Control gate

漂移、Override、异常、复测、暂停和退出机制是否持续运行。Are drift, overrides, exceptions, retest, pause and exit continuously governed?

Gate未通过:先修复数据、测量、流程或责任机制,不进入失控自动执行Gate not passed: repair data, measurement, process or accountability before autonomous execution
客户获得什么What the client receives

交付的是可执行工具、新流程、治理机制与改善证据Deliver executable tools, new processes, governance and evidence

仅完成概念演示、界面原型或单次测试,不视为Workflow正式交付。

A concept demo, interface prototype or one-time test is not a formally delivered workflow.

可执行的AI WorkflowExecutable AI workflow

明确触发、数据读取、规则、AI动作、人工审批、输出、写回、异常和回退。Defined trigger, data reads, rules, AI actions, human approval, outputs, write-back, exceptions and fallback.

AI嵌入后的Future StateAI-embedded Future State

更新后的角色、责任、标准作业、Reaction Plan、SOP和跨部门协作方式。Updated roles, responsibilities, standard work, reaction plans, SOPs and cross-functional collaboration.

规则、数据与配置资产Rules, data and configuration assets

最低数据包、字段与关系、硬约束、权限、审批、提示、评估集和版本记录。Minimum data package, fields, relationships, hard constraints, permissions, approvals, prompts, evaluation sets and revisions.

验收与运行Control机制Acceptance and run-Control mechanism

基线、指标、测试案例、异常日志、用户反馈、复测、漂移、纠正和关闭流程。Baselines, metrics, test cases, exception logs, user feedback, retest, drift, correction and closure.

正式交付标准Completion standard

目标用户可以操作,业务结果可以审核,处理过程可以追溯,异常情况可以处理,Agent配置可以管控,运行效果可以度量。Target users can operate it, business results can be audited, processing can be traced, exceptions can be handled, agent configuration can be governed and operating effect can be measured.

责任边界Accountability boundary

AI扩大信息处理和闭环能力,人员保留专业决定与最终责任AI expands information work and closure; people retain professional decisions and accountability

AI Agent可以AI agents can

  • 读取、归纳、比对和检查业务资料Read, summarize, compare and check operating records
  • 识别风险、偏离、缺失和规则冲突Identify risk, deviation, gaps and rule conflicts
  • 准备方案、影响清单、证据包和任务Prepare options, impact lists, evidence packs and tasks
  • 组织审批、提醒Owner、写回状态并跟踪关闭Route approvals, remind owners, write back state and track closure

AI Agent不能自行AI agents cannot independently

  • 确认真正根因或改变受控工艺参数Confirm true root cause or change controlled process parameters
  • 发布工程版本、使用未批准替代料Release engineering revisions or use unapproved substitutes
  • 解除Quality Hold、放行产品或批准让步Release a quality hold, product or concession
  • 绕过安全、质量、Frozen Zone、人员资质或客户承诺边界Bypass safety, quality, frozen-zone, qualification or customer-commitment boundaries
下一步Next step

联系GIC,讨论改进机会Contact GIC to discuss an improvement opportunity

请简要填写公司信息、希望解决的问题和预算范围。我们将据此准备第一次沟通。

Share your company details, the problem to solve and an indicative budget so we can prepare for the first discussion.

info@viewinadvisory.comJason.d@viewinadvisory.com

提交后信息会通过安全邮件服务直接发送给GIC,无需打开本地邮件软件。Your inquiry is sent securely to GIC without opening a local email app.