Explore Prompts

For a Lanzhou plant with steam heating and electric drives, design a winter (Nov–Mar) energy mix plan. Return a step-by-step calculator: Inputs (tariffs by hour, boiler efficiency, steam demand, COP if using heat pumps), Calculations (cost per GJ and per unit), Outputs (daily/weekly cost, CO₂-intensity estimate). Add a weekend/holiday schedule and a peak-shaving idea using thermal storage.

Draft a water-balance plan for a Lanzhou factory using closed-loop cooling and process reuse. Output sections: baseline intake (m³/day), process uses, cooling losses, recycling opportunities, treatment train, blowdown handling, target KPI (m³/unit output). Add a checklist for winter freeze protection and a 12-week implementation roadmap.

Create a site-selection scorecard for a new workshop in Lanzhou (Lanzhou New Area or nearby zones). Return CSV with columns: factor, weight(0–1), site_A, site_B, site_C, score_calc, notes. Factors should include: distance to Yellow River water intake, rail siding access, power capacity (kVA), gas supply, winter heating, dust-storm exposure, workforce access, incentives, permitting lead time. Conclude with a weighted decision summary and 3 risk mitigations.

Create a step-by-step calculator for {topic}. List Inputs, Calculations with explicit equations, and Outputs. Provide a worked example with realistic numbers and show units. End with a sensitivity check on two key variables. Add topic-specific details to include: UL/CE/EMC certification testing budget.

Propose a data schema for {topic}. Return tables: dim_*, fact_cost, fact_time, fact_energy, with column names, types, and primary keys. Include notes on join keys and grain. Add topic-specific details to include: Obsolescence risk for electronic components.

Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trials are sufficient and stopping criteria. Add topic-specific details to include: Supplier lead-time variability buffer cost.

Design a quote normalization matrix for {topic}. Define comparable fields, currency and FX handling, lead-time penalties, warranty adjustments, and risk buffers. Return a scoring rubric and tie-breaker rules. Add topic-specific details to include: SPC sampling cost vs defect risk.

Define a KPI pack for {topic}. List 10 KPIs with definitions, units, update cadence, and owner role. Add a weekly review ritual and an action playbook when thresholds are breached. Add topic-specific details to include: Downtime root-cause cost-of-delay.

Create a step-by-step calculator for {topic}. List Inputs, Calculations with explicit equations, and Outputs. Provide a worked example with realistic numbers and show units. End with a sensitivity check on two key variables. Add topic-specific details to include: Seasonal demand: overtime vs temp labor cost.

Propose a data schema for {topic}. Return tables: dim_*, fact_cost, fact_time, fact_energy, with column names, types, and primary keys. Include notes on join keys and grain. Add topic-specific details to include: Heijunka leveling cost-impact model.

Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trials are sufficient and stopping criteria. Add topic-specific details to include: Kanban sizing and stockout penalty cost.

Design a quote normalization matrix for {topic}. Define comparable fields, currency and FX handling, lead-time penalties, warranty adjustments, and risk buffers. Return a scoring rubric and tie-breaker rules. Add topic-specific details to include: Warehouse storage and picking cost per order.