GLOSSARY

Manufacturing Data

CONTENTS

1 - What is AI Market Research

2 - How AI Market Research Supports Pricing Strategies

3 - The Importance of AI Market Research for Business Success

4 - About MARKT-PILOT

WHAT IS MANUFACTURING DATA

Definition Manufacturing Data

Manufacturing data refers to the information collected throughout the production process, including data related to materials, equipment, labor, production timelines, and outputs.

It encompasses both the raw data generated during manufacturing (e.g., machine performance, cycle times) and the descriptive context that makes it actionable (e.g., asset IDs, timestamps).

 

Manufacturing Data Definition EN

Important Types of Manufacturing Data

  • Raw Materials Data: Information about the type, quality, quantity, and sourcing of materials used in production. This data is critical for inventory management and cost control.

  • Production Process Data: Includes information on production rates, cycle times, machine performance, and labor utilization. It helps optimize production processes for efficiency and productivity.

  • Quality Control Data: Data that monitors product quality throughout the manufacturing process, such as defect rates, test results, and inspection records. Ensures products meet industry standards and customer expectations.

  • Supply Chain Data: Covers information related to suppliers, inventory levels, delivery times, and logistics. Helps in managing the flow of materials and goods to maintain production schedules.

  • Maintenance Data: Includes information about machine downtime, maintenance schedules, and repair histories. Helps predict and prevent machine failures, reducing downtime.

  • Cost Data: Information on production costs, including labor, materials, overheads, and energy consumption. This data is vital for pricing, budgeting, and cost management.

Manufacturing Data Layers

Manufacturing Facts

These are the raw, quantitative data directly captured during the manufacturing process.

Examples:

  • Temperature logs from CNC machines
  • Cycle times for various production steps
  • Throughput measurements (units produced per hour)
  • Quality check results (defects per batch)
Metadata

Provides the necessary context for interpreting Manufacturing Facts, ensuring data can be understood and traced.

Examples:

  • Asset identification: Identifies the specific machine or tool used
  • Operator information: Tracks who was operating machinery
  • Timestamps: The exact time when data was captured
  • Batch details: Links data to specific production runs or product batches

Real-World Example

In a CNC machining operation, Manufacturing Facts would include the temperature of the spindle motor and cycle time for each batch. Metadata would include the specific machine used (asset ID), the operator's name (who handled the machine), and the timestamp for each reading. This combined dataset can be used for identifying patterns of machine wear over time, optimizing maintenance schedules, or adjusting production runs for efficiency.

By implementing this structure effectively, manufacturing companies can drive more data-driven decisions, increase operational efficiency, and improve product quality and consistency over time.

BENEFITS OF AI MARKET RESEARCH

How AI Market Research Supports Pricing Strategies 

AI-driven market research streamlines the analysis of large datasets, such as competitor pricing, customer trends, and material costs. By automating repetitive tasks, it not only saves time but also delivers greater accuracy than common manual methods. This approach is particularly relevant to machine manufacturers aiming for market-based pricing strategies. 

MANUFACTURING DATA IN MACHINE MANUFACTURING

Manufacturing Data in Machine Manufacturing

In the machine manufacturing sector, the collection and analysis of manufacturing data are crucial for optimizing production efficiency and maintaining competitive advantage. The industry relies heavily on data to monitor and adjust production processes, ensure product quality, and manage supply chains. Machine manufacturers use manufacturing data to track the performance of machines and components, ensuring precision in the production of complex machinery parts.

How This Data Is Used in Machine Manufacturing

  • Optimization: Manufacturing data is crucial for identifying inefficiencies in production and optimizing processes for speed, cost, and quality.
  • Cost Control: Monitoring cost-related data helps manufacturers track expenses and adjust production methods or materials to stay within budget.
  • Quality Assurance: By analyzing quality control data, manufacturers can pinpoint the sources of defects and improve product consistency.
  • Maintenance Planning: Maintenance and downtime data can help avoid unexpected breakdowns, ensuring smooth operations and reducing costs related to repairs.
  • Supply Chain Efficiency: Inventory and supplier data enable just-in-time production, minimizing inventory holding costs and improving the flow of materials.

By collecting and analyzing these types of manufacturing data, machine manufacturers can enhance productivity, reduce costs, improve product quality, and stay competitive in the market.

SPARE PARTS MANUFACTURING DATA

The Role of Pricing Software for Spare Parts Manufacturing Data

Pricing software in the spare parts manufacturing sector plays a crucial role in analyzing manufacturing data to optimize pricing strategies. By integrating manufacturing data such as production costs, inventory levels, and market trends, pricing software can generate competitive pricing models. It enables manufacturers to set prices based on real-time data, ensuring profitability while remaining competitive in the market. Moreover, it helps in identifying the right pricing adjustments based on changes in production costs, competitor pricing, and customer demand.

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About MARKT-PILOT

MARKT-PILOT is a leading provider of software for market-based spare parts pricing in machine manufacturing. The solutions enable OEMs to conduct precise market price research, automated price recommendations and optimized strategies. Customers benefit from increased sales, margins and customer satisfaction in their parts business.

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PRICERADAR The SaaS solution for market-based spare parts pricing & lead time intelligence

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