家 » 产品设计 » 人工智能在产品设计和创新中的应用 » 面向制造工程师和管理人员的 25+ 个最佳 AI 提示

面向制造工程师和管理人员的 25+ 个最佳 AI 提示

物料清单 (BOM), 销售成本（COGS）, 精益制造, 整体设备效率 (OEE), 预测性维护算法, 生产效率, 供应链, 时间, 价值流图

现代制造运营需要对车间变化和供应链波动做出即时、数据驱动的响应。以下人工智能提示功能可作为专门的工程工具，旨在执行复杂的计算和场景建模，这些计算和建模如果手动或使用标准方法则难以完成。软件通过处理具体的操作输入（例如原始生产数据、机器维护日志或详细的工艺参数），它们可以生成可直接使用的输出，例如优化的生产计划、设备故障的根本原因分析报告以及拟议工艺变更的成本影响模拟，从而使管理人员和工程师能够根据定量分析做出明智的决策。

这份包含 25 个以上提示的清单提供了一个全面的工具包，涵盖了制造职责的各个方面：这些提示被归类到关键领域，包括用于动态重新排程和优化的生产计划和调度；用于生产线平衡和价值流图绘制的流程和效率优化；以及用于预测性排程和根本原因分析的维护和设备管理。其他类别还包括用于详细成本估算和自制/外购决策的成本和资源管理，以及用于自动化标准操作程序 (SOP) 的报告和文档编制。失效模式及影响分析生成、供应链和物流整合，用于风险评估和物流优化，确保对工厂和运营控制采取整体方法。

生产计划与调度

应对供应链中断的动态生产重新调度

分析生产计划、物料清单和中断警报（例如，关键部件延迟发货）。然后，它生成修订后的生产计划，通过建议替代供应商、修改生产顺序或调整库存使用情况，最大限度地减少延误和成本。

建议温度： 0.7 建议的思维复杂度： 高的

用户输入： {current_production_schedule}, {bill_of_materials}, {disruption_alert}, {alternative_suppliers}, {inventory_levels}

## CONTEXTYou are tasked with dynamically rescheduling production in response to a supply chain disruption. You have access to the current production schedule, the bill of materials (BOM), and a disruption alert detailing the issue (e.g., delayed shipment of a critical component). Your goal is to minimize delays and costs by suggesting alternative suppliers, modified production sequences, or adjusted inventory usage.## INPUTS1. Current Production Schedule: {current_production_schedule}2. Bill of Materials (BOM): {bill_of_materials}3. Disruption Alert: {disruption_alert}4. List of Potential Alternative Suppliers: {alternative_suppliers}5. Inventory Levels: {inventory_levels}## INSTRUCTIONS1. Analyze the current production schedule and identify the stages affected by the disruption detailed in the disruption alert.2. Examine the BOM to determine the critical components impacted by the disruption.3. Evaluate the list of potential alternative suppliers to identify viable options for the disrupted component(s), considering lead times and costs.4. Assess current inventory levels to determine if existing stock can be used to mitigate the disruption.5. Propose modifications to the production sequence to accommodate the disruption, ensuring minimal impact on overall production timelines.6. Calculate the cost implications of each proposed change, including supplier costs, inventory usage, and potential overtime or expedited shipping.7. Generate a revised production plan that incorporates the most cost-effective and timely solutions.## OUTPUT FORMATProvide a detailed report including:- Summary of the disruption and its impact on the production schedule.- List of alternative suppliers considered and the selected option(s) with justification.- Proposed modifications to the production sequence and inventory usage.- Cost analysis of the proposed changes.- Revised production schedule with updated timelines and resource allocations.

多目标生产批量优化

通过考虑多个相互冲突的目标（例如最小化库存持有成本、减少设置时间和最大化生产效率），确定一系列产品的最佳批量大小。它处理生产数据、成本参数和约束条件，为每种产品推荐合适的批量大小。

建议温度： 0.7 建议的思维复杂度： 高的

用户输入： {product_list}, {production_data}, {cost_parameters}, {constraints}

## CONTEXTYou are tasked with optimizing production batch sizes for a list of products. The goal is to balance multiple objectives: minimizing inventory holding costs, reducing setup times, and maximizing production throughput. You have access to production data, cost parameters, and constraints.## INPUTS- List of products: {product_list}- Production data for each product: {production_data}- Cost parameters: {cost_parameters}- Constraints: {constraints}## INSTRUCTIONS1. **Data Analysis** – Analyze the provided production data for each product in {product_list}. – Extract relevant metrics such as current batch sizes, setup times, and production rates.2. **Objective Function Formulation** – Define an objective function that incorporates the following: – Minimization of inventory holding costs using {cost_parameters}. – Reduction of setup times based on {production_data}. – Maximization of production throughput. – Consider {constraints} in the formulation.3. **Optimization Process** – Use a suitable optimization algorithm to solve the multi-objective problem. – Calculate the optimal batch size for each product in {product_list}.4. **Output Recommendations** – Provide a detailed recommendation for the optimal batch size for each product. – Include a summary of how each objective was balanced in the final recommendation.## OUTPUT FORMAT- Recommendations for optimal batch sizes: $product_name: $optimal_batch_size- Summary of objective balancing: $summary

生产线中的预测性瓶颈识别

该软件基于各工位的周期时间、物料转移时间和计划维护安排，模拟生产流程。它能识别潜在的瓶颈，并主动建议对机器分配、操作员安排或缓冲区大小进行调整，以维持流畅的生产流程。

建议温度： 0.7 建议的思维复杂度： 高的

用户输入： {cycle_times}, {transfer_times}, {maintenance_schedules}

## CONTEXTYou are tasked with simulating a production process to identify potential bottlenecks and suggest proactive adjustments. The simulation will be based on the following inputs: cycle times for each station, transfer times between stations, and planned maintenance schedules.## INPUTS- Cycle Times: {cycle_times}- Transfer Times: {transfer_times}- Maintenance Schedules: {maintenance_schedules}## TASKS1. **Data Analysis** – Analyze the provided cycle times, transfer times, and maintenance schedules to understand the current production flow.2. **Simulation Setup** – Set up a simulation model using the provided data to mimic the production process. – Ensure the model accounts for variations in cycle times and transfer times due to maintenance schedules.3. **Bottleneck Identification** – Run the simulation to identify stations or processes where delays are likely to occur. – Determine the impact of these bottlenecks on overall production efficiency.4. **Proactive Adjustment Suggestions** – Based on the identified bottlenecks, suggest adjustments in the following areas: – Machine Allocation: Recommend reallocating machines to balance the load. – Operator Assignments: Suggest changes in operator assignments to improve efficiency. – Buffer Sizes: Propose adjustments to buffer sizes to accommodate potential delays.## OUTPUT FORMATProvide a detailed report including:- Summary of identified bottlenecks and their potential impact.- Suggested adjustments with rationale for each recommendation.- Visual representation of the production flow before and after adjustments, if applicable.

基于技能矩阵的优化轮班表生成

通过考虑员工可用性、各项任务的技能水平以及生产需求，为生产单元创建最佳的每周轮班计划。该计划确保每个班次都具备满足生产目标所需的技能组合，同时符合劳动力成本限制。法规以及员工的偏好。

建议温度： 0.7 建议的思维复杂度： 高的

用户输入： {employee_availability}, {skill_matrix}, {production_demand}, {labor_regulations}, {employee_preferences}

**TASK**Generate an optimal weekly shift schedule for a manufacturing cell.**INPUTS**1. Employee Availability: Provide a list of employees with their available days and hours in the format {employee_availability}.2. Skill Matrix: Provide a matrix detailing each employee’s skill levels for various tasks in the format {skill_matrix}.3. Production Demand: Specify the production demand for each shift, including required tasks and skill levels in the format {production_demand}.4. Labor Regulations: Include any labor regulations that must be adhered to, such as maximum working hours or mandatory breaks, in the format {labor_regulations}.5. Employee Preferences: List any employee preferences regarding shifts or tasks in the format {employee_preferences}.**INSTRUCTIONS**1. Analyze the provided employee availability to determine potential shift assignments.2. Cross-reference the skill matrix with production demand to ensure each shift has the necessary skill mix.3. Incorporate labor regulations to ensure compliance in the shift schedule.4. Factor in employee preferences to enhance satisfaction and morale.5. Generate a weekly shift schedule that optimally balances all inputs.**OUTPUT FORMAT**Provide the shift schedule in a tabular format with columns for Day, Shift, Assigned Employees, Tasks, and Skill Coverage.Ensure the schedule meets production targets and adheres to all constraints.**ADDITIONAL NOTES**Use optimization techniques to balance skill coverage and employee satisfaction.Consider using algorithms such as linear programming or genetic algorithms for complex scenarios.

原材料需求预测和订单整合

分析多个产品的主生产计划和物料清单，预测特定时期内的原材料需求。然后，汇总这些需求，并提出考虑供应商交货时间和批量订单折扣的优化采购方案。

建议温度： 0.7 建议的思维复杂度： 高的

用户输入： {mps_data}, {bom_data}, {supplier_lead_times}, {bulk_order_discounts}

## CONTEXTYou are tasked with forecasting raw material demand and creating an optimized purchasing plan for a manufacturing operation. You will analyze the master production schedule (MPS) and the bill of materials (BOM) for multiple products.## INPUTS1. Master Production Schedule (MPS) for the specified period: {mps_data}2. Bill of Materials (BOM) for each product: {bom_data}3. Supplier lead times for each raw material: {supplier_lead_times}4. Bulk-order discount details: {bulk_order_discounts}## TASKS1. Analyze the MPS to determine the production quantities for each product over the specified period.2. Use the BOM to calculate the total raw material requirements for each product based on the production quantities.3. Aggregate the raw material requirements across all products to determine the total demand for each raw material.4. Consider supplier lead times to align the purchasing schedule with production needs.5. Evaluate bulk-order discounts to identify cost-saving opportunities.6. Suggest an optimized purchasing plan that balances material availability, lead times, and cost efficiency.## OUTPUT FORMATProvide a detailed report including:- A summary of total raw material demand for the specified period.- A consolidated purchasing plan with recommended order quantities and timing.- An analysis of cost savings from bulk-order discounts.- Any assumptions made during the analysis.## ADDITIONAL INSTRUCTIONSEnsure that the purchasing plan aligns with production schedules and minimizes inventory holding costs.Use precise calculations and logical reasoning to support your recommendations.

流程和效率优化

这些提示可以有效地与以下方面相辅相成：精益六西格玛本文中包含以下提示：

参见25+ 个精益六西格玛人工智能提示

►

装配线平衡和平衡工作站重新设计

它分析一系列装配任务及其各自的持续时间和优先级约束。然后，它提出一种在工作站之间均衡分配这些任务的方案，以最大限度地减少空闲时间并提高生产线效率，并为每个工作站提供新的任务分配方案。

建议温度： 0.5 建议的思维复杂度： 高的

用户输入： {task_list_with_durations}, {precedence_constraints}, {number_of_workstations}

**CONTEXT**You are tasked with optimizing an assembly line by balancing tasks across workstations. The goal is to minimize idle time and maximize efficiency. You have a list of tasks, each with a specific duration and precedence constraints.**INPUTS**1. List of tasks with durations: {task_list_with_durations}2. Precedence constraints: {precedence_constraints}3. Number of available workstations: {number_of_workstations}**TASKS**1. Analyze the provided task list and precedence constraints.2. Calculate the total cycle time and determine the optimal cycle time per workstation.3. Distribute tasks across the given number of workstations, ensuring precedence constraints are respected.4. Minimize idle time by balancing the workload across workstations.5. Propose a new task allocation for each workstation.**OUTPUT FORMAT**Provide a detailed allocation of tasks for each workstation, including:- Workstation number- Assigned tasks with their durations- Total time per workstation- Idle time per workstation- Overall line efficiency percentage**INSTRUCTIONS**Use the inputs to perform calculations and propose a balanced task distribution. Ensure all precedence constraints are adhered to and aim for the highest possible line efficiency.

能耗异常检测与优化

处理工厂车间内各种机器的能耗时间序列数据。它能识别可能表明设备故障或运行效率低下的异常情况，并提出减少能源浪费的具体措施。

建议温度： 0.7 建议的思维复杂度： 高的

用户输入： {energy_consumption_data}, {machine_identifiers}, {historical_baseline_data}

**CONTEXT**You are tasked with analyzing time-series data of energy consumption from various machines on a factory floor. Your goal is to identify anomalies that may indicate equipment malfunction or inefficient operation and suggest specific actions to reduce energy waste.**INPUTS**1. Time-series data of energy consumption: {energy_consumption_data}2. Machine identifiers: {machine_identifiers}3. Historical baseline data for comparison: {historical_baseline_data}**TASKS**1. Analyze the provided time-series data of energy consumption for each machine using the identifiers.2. Compare the current data with historical baseline data to identify anomalies.3. Determine the threshold for normal operation and flag any deviations as potential anomalies.4. For each identified anomaly, assess whether it indicates a potential equipment malfunction or inefficient operation.5. Suggest specific actions to address each identified anomaly to reduce energy waste.**OUTPUT FORMAT**Provide a summary report with the following structure:- Machine Identifier: $machine_id- Anomalies Detected: $anomalies_detected- Suggested Actions: $suggested_actions**ADDITIONAL INSTRUCTIONS**Ensure that the analysis considers both short-term spikes and long-term trends in energy consumption.Use statistical methods to validate the significance of detected anomalies.Provide actionable insights that are practical and feasible for implementation on the factory floor.

价值流图分析和未来状态设计

分析当前状态价值流图，识别非增值活动，并生成 Mermaid 格式的未来状态图，以及优先级列表。改善事件。

建议温度： 0.7 建议的思维复杂度： 高的

用户输入： {current_state_data}

**INPUT REQUIREMENTS**Provide a textual description or CSV of the current state value stream map, including:- Process times for each step- Wait times between steps- Inventory levels at each step- Any additional relevant details about the processes**TASKS**1. **Data Parsing**: Extract and organize the provided data into a structured format for analysis.2. **Identify Non-Value-Added Activities**: Analyze the data to identify activities that do not add value to the product or service.3. **Current State Analysis**: Calculate key metrics such as total lead time, process cycle efficiency, and inventory turnover.4. **Future State Design**: Propose a future state map by eliminating or reducing non-value-added activities, optimizing process times, and reducing wait times and inventory levels.5. **Kaizen Events Prioritization**: Generate a prioritized list of kaizen events based on potential impact and feasibility.6. **Mermaid Diagram Generation**: Create a visual representation of the future state map using Mermaid syntax.**OUTPUT FORMAT**- A summary of identified non-value-added activities and their impact- Key metrics of the current state- A detailed description of the proposed future state- A prioritized list of kaizen events- Mermaid syntax diagram of the future state map**USER INPUT**- Current state value stream map data: “{current_state_data}”**EXAMPLE MERMAID SYNTAX**“`mermaidgraph TDA[Start] –> B[Process 1]B –> C[Process 2]C –> D[End]“`

铁匠分析与改进计划

分析换型活动的详细分解及其持续时间，并将其分类为内部换型或外部换型。外部设置它会生成任务，然后生成一个分步骤的行动计划来进行转化。内部设置缩短外部转换时间，减少整体转换时间。

建议温度： 0.7 建议的思维复杂度： 高的

用户输入： {changeover_activities}, {current_changeover_time}

**TASK**: Analyze and improve the changeover process using SMED methodology.**INPUTS**:1. **List of Changeover Activities**: Provide a detailed list of all activities involved in the changeover process, including their durations and whether they are currently classified as internal or external tasks. Format: {changeover_activities}.2. **Current Changeover Time**: Provide the total current changeover time in minutes. Format: {current_changeover_time}.**INSTRUCTIONS**:1. **Classify Activities**: Analyze the provided list of changeover activities. Classify each activity as either internal (performed while the machine is stopped) or external (performed while the machine is running).2. **Identify Conversion Opportunities**: Identify activities that can be converted from internal to external. Provide a rationale for each conversion opportunity.3. **Calculate Potential Time Savings**: Estimate the potential time savings for each conversion opportunity and calculate the new potential changeover time.4. **Generate Improvement Plan**: Develop a step-by-step action plan to implement the identified conversions, including any necessary resources, training, or changes in procedures.5. **Output Format**:- **Classified Activities**: A list of activities with their classifications and durations.- **Conversion Opportunities**: A list of activities that can be converted, with rationale and estimated time savings.- **Improvement Plan**: A detailed step-by-step action plan with required resources and changes.- **New Potential Changeover Time**: The estimated new changeover time after implementing the improvements.**OUTPUT**:$classified_activities$conversion_opportunities$improvement_plan$new_potential_changeover_time

物料流的最佳设施布局生成

根据部门或工作中心列表、空间需求以及物料在各部门或工作中心间移动频率的“从-到”关系图，生成 Mermaid 或 SVG 格式的二维工厂布局图。目标是最大限度地缩短物料搬运距离，并优化整体流程。

建议温度： 0.7 建议的思维复杂度： 高的

用户输入： {list_of_departments}, {spatial_requirements}, {from_to_chart}

## INPUTS- List of Departments/Work Centers: {list_of_departments}- Spatial Requirements for Each Department (in square meters): {spatial_requirements}- From-To Chart (Matrix of Material Movement Frequencies): {from_to_chart}## TASKS1. Analyze the list of departments and their spatial requirements to determine the total area needed.2. Interpret the from-to chart to understand the frequency of material movement between departments.3. Calculate the optimal positioning of each department to minimize the total material handling distance.4. Generate a 2D factory layout in Mermaid or SVG format that visually represents the optimal arrangement of departments.## OUTPUT- Provide a 2D factory layout in Mermaid or SVG format.- Include a summary of the total material handling distance minimized.## FORMAT- 2D Layout: $2D_layout- Summary: $summary## INSTRUCTIONS- Use the provided inputs to execute the tasks in the specified order.- Ensure the layout is clear and accurately represents the spatial requirements and material flow.- Provide the output in the specified format.

🔒

The rest of this article is reserved for members

To limit scraping bots (currently 40,000 hits per day!),
we had to restrict access to full articles and tools to registered members only.

to access all the rest.

涵盖的主题： 人工智能驱动工具、制造效率、实时数据分析、场景建模、生产计划、动态重新调度、流程优化、预测调度、根本原因分析、成本估算、物流优化、自动化报告、ISO 9001、ISO 55000、ISO 14001、ISO 50001 和 IEC 61508。

历史背景

D类火灾：可燃金属

D类火灾涉及可燃金属、合金或金属化合物，例如镁、钛、钠和锂。这类火灾极其危险，因为它们在极高的温度下燃烧，并且可能与水或二氧化碳等常见灭火剂发生爆炸性反应。例如，水在某些情况下，与 p 相反普遍认为，它会分解成氢气和氧气，助长火势。灭火需要专门的干粉灭火剂。

硝铵炸药

硝酸铵/燃油炸药（ANFO）是一种广泛使用的散装工业炸药。它由多孔的硝酸铵颗粒（作为氧化剂）和燃油（通常为柴油，作为燃料）简单混合而成。由于其相对不敏感，需要增爆药才能引爆，因此被归类为爆破剂。其低成本使其在采矿和建筑行业占据主导地位。

直接刚度法

一种结构分析矩阵方法，是有限元法（FEM）的基础。它将结构建模为节点连接的元素组合。该方法通过全局刚度矩阵\([K]\)将节点力\({R}\)与节点位移\({D}\)联系起来，表示为\([K]{D} = {R}\)。求解这个线性方程组可以得到未知的节点位移。.

迭代产品设计过程

这是一种结构化的新产品开发方法，通常包括分析、概念开发和综合。它是一个迭代循环，设计师们会研究用户需求、集思广益、创建原型并进行测试，以完善最终产品。这一过程确保最终产品在全面量产前既实用又能有效满足市场需求。

平准化生产均衡化

平准化是丰田生产系统中平衡或平滑生产效率的原则。它涉及在固定时间段内均衡产量和产品组合，以消除工作量的高峰和低谷。这创造了一个可预测且稳定的生产环境，这是有效实施准时制 (JIT) 和标准化工作的先决条件。

节拍时间和周期时间的区别

节拍时间是一个理论计算，代表客户需求的速度（“可用时间÷需求”）。相比之下，周期时间是对在特定流程步骤中完成一个工作单元所需时间的经验测量。精益制造的核心原则是确保周期时间始终小于或等于节拍时间。

化学气相沉积（CVD）

化学气相沉积 (CVD) 是一种将基材暴露于一种或多种挥发性化学前体中的涂层工艺。这些前体在反应室中于基材表面发生反应或分解，从而生成高纯度、高性能的固体薄膜或涂层。温度和压力是控制沉积速率和薄膜质量的关键工艺参数。

1950

1955

1956

1960

1950

1955

1958

1960

美国防火分类系统（NFPA 10）

美国火灾分类系统（由NFPA 10标准化）根据燃料类型将火灾分为五大类。A类火灾包括木材和纸张等普通可燃物。B类火灾涵盖易燃液体和气体。C类火灾涉及带电电气设备。D类火灾涉及可燃金属，K类火灾则适用于食用油和脂肪。

机械工程中的斯特林发动机有三种配置：Alpha 型、Beta 型和 Gamma 型。

斯特林发动机配置

斯特林发动机主要分为三种机械结构。α型采用两个独立的动力活塞，分别位于相互连通的热缸和冷缸中。β型则采用单个气缸，其中既包含动力活塞，也包含一个置换器，用于在热端和冷端之间输送工作气体。γ型是其变体，动力活塞位于一个独立的平行气缸中。

有效性-NTU 方法

当已知流体入口温度但未知出口温度时，换热器分析中会采用有效性-NTU法。有效性（\(\epsilon\)）是实际传热与最大可能传热之比。传热单元数（NTU）是衡量换热器尺寸的无量纲指标，定义为 \(NTU = \frac{UA}{C_{min}}\)。

用于薄膜沉积的旋涂

旋涂是一种在平面基材上沉积均匀薄膜的工艺。将过量的涂层溶液置于基材上，然后高速旋转基材。离心力使溶液扩散，溶剂蒸发或固化使薄膜固化，最终厚度由粘度、浓度和旋转速度决定。

光伏中的填充因子

填充因子 (FF) 是决定太阳能电池质量的关键参数。它是电池最大输出功率 (P_{max}) 与理想电压电流源理论输出功率 (V_{oc} \times I_{sc}\) 之比。填充因子越高，寄生电阻损耗越低，IV 曲线越“方正”。

Muda、Muri、Mura（7 个废物中的 3 个）

丰田生产系统建立在彻底消除浪费的基础之上，浪费分为七种类型，其中主要包括三种：Muda（无增值工作）、Muri（负担过重）和Mura（不均衡）。虽然Muda是最常被讨论的，但丰田生产系统（TPS）认为Muri和Mura往往是Muda的根本原因，必须首先解决它们才能实现真正的精益系统。

良好生产规范（GMP）

良好生产规范 (GMP) 是一套法规和指南体系，确保药品始终按照质量标准进行生产和控制。它涵盖生产的方方面面，从起始原料、厂房和设备，到员工的培训和个人卫生。GMP 旨在最大限度地降低任何药品生产中的风险。

用于电子产品保护的保形涂层

保形涂层是一种涂覆在印刷电路板 (PCB) 上的薄型保护性聚合物薄膜，能够“贴合”电路板及其组件的轮廓。其主要目的是保护电子电路免受潮湿、灰尘、化学物质和极端温度等恶劣环境条件的影响，从而提高设备的可靠性和使用寿命。

（如果日期未知或不相关，例如“流体力学”，则提供其显著出现的近似估计）

面向制造工程师和管理人员的 25+ 个最佳 AI 提示

生产计划与调度

流程和效率优化

历史背景

热门帖子和文章

独裁者的市场管理指南（或同时担任球员和裁判的艺术）

最小可行产品（MVP）：专业提示

十大设计错误，应避免

90条机械原理助您获得精明的设计解决方案

形式服从功能……尤其在产品设计中

少即是多。为什么要设计简约

顶级原装工具

免费更新的代理列表

LaTeX 公式编辑器

Innovation.world 的概念探索者™

Design Review Tree™ (DRT)：反复检查您的产品设计

免费最新专利搜索

免费最新科学出版物搜索