xcPROC Should CostData

xcPROC is the centralized database engine powering xcPEP. Built entirely by ASI’s data research team, each database is meticulously curated to be region-specific and time-specific.

Cost Models

Structured models for manufacturing logic, not static averages.
Machine Hour Rates

Precise MHR calculations based on equipment, utilities, and more.
Labor Hour Rates

Region-specific wage data for skilled, semi-skilled, and unskilled labor.
Operation Based Rates

Granular cost data for standard manufacturing processes.
Bought Out Part Rates

Curated pricing for standard components, fasteners, and materials.

Our War on Generic Data

ASI’s approach is to build and maintain its own centralized data platform-xcPROC-to support cost estimation and supplier evaluation. Instead of relying on third-party generic sources, ASI creates structured datasets in-house, tailored to reflect actual manufacturing conditions.

The ASI & xcPROC Solution

What is ASI's approach?

We build and maintain our own centralized data platform to support cost estimation and supplier evaluation.
We create structured datasets in-house, tailored to reflect actual manufacturing conditions.
When existing data doesn't cover a need, a new dataset is developed from scratch.

The "Generic Database" Problem

Why do we dislike generic databases so much?

Generic datasets rely on assumptions and broad averages that ignore how parts are actually made.
They simplify cost inputs to fit fixed templates, leading to estimates that fail to match real manufacturing conditions.
When the input data lacks specificity, costing becomes guesswork.

This approach stands in contrast to conventional cost data platforms. xcPROC is built to replace generic cost datasets with application-specific information that reflects how real parts are made, sourced, and evaluated.

The ASI Data Research Team

The ASI Data Research Team is responsible for developing, maintaining, and expanding the datasets available in xcPROC, ensuring all data is validated, structured, and aligned with the practical needs of engineering and sourcing functions.

Customer-Centric Data Curation

We collect, curate, and validate only the data that matters to our active customers. During onboarding, we map each customer’s specific requirements and expand our research coverage accordingly if required. This focused approach lets us direct our resources toward capturing exactly what’s needed and capturing it exceptionally well.

How xcPROC Powers xcPEP

xcPROC serves as the data backbone for xcPEP. This integration ensures that estimates reflect real production parameters, not generic assumptions.

Step 1: BOM & Inputs In

BOM data, drawing parameters, and core part inputs (volume, location, material type) are captured in xcPEP and sent to the Cost Model engine.

Step 2: Data Enrichment

xcPROC instantly injects all real-world manufacturing data: RM Rates, MHR, Labor Wages, Tooling Costs, and Currency Rates based on the specified geography.

Step 3: Should Cost Output

A structured, transparent Should Cost is generated. This can then be used to create "What-If" scenarios by drawing new regional data from xcPROC.

Database Components

xcPROC houses a growing set of structured databases. Select a component from the list to see a live sample of the highly detailed data our research team provides.

Machine Database

Contains structured cost parameters for manufacturing equipment. Each entry includes brand, operation type, capital/rental costs, and utility consumption, enabling precise calculation of the machine hour rate (MHR).

Raw Material Database

Contains structured data for a wide range of materials. Each entry includes material grade, sub-grade, initial shape, density, and cost per unit, allowing models to reflect real-world sourcing conditions.

Wage & Salary Database

Provides region-wise labor hour rates essential for calculating accurate manufacturing costs. It includes detailed breakdowns for skilled, semi-skilled, and unskilled labor, covering minimum wages, perks, and total hourly rates.

Tools Database

Captures tool-level information critical for operations. Each entry includes the tool’s specifications, supplier, material, and category-along with cost and usage life data to factor depreciation into cost models.

Currencies Database

Enables cost calculations to be standardized across global sourcing scenarios. It maintains real-time and historical exchange rates between INR and over 150 international currencies.

Operations Database

Stores cost and rate data for standard manufacturing processes. Each operation is linked to relevant parameters like process type and cost unit (e.g., INR per m²), enabling seamless integration with routing logic.

Supplier Database

Provides structured profiles for each manufacturer, combining technical capability and business information. Each profile includes plant locations, certifications, product catalogs, and financial metrics.

Mechanical Part Database

Contains structured information on standard and bought-out mechanical components such as fasteners, bearings, housings, and seals. Each entry includes dimensional specifications, material details, and manufacturing attributes.

Electronic Part Database

Contains a growing set of standard, bought-out components like resistors, capacitors, connectors, and ICs. Each entry provides technical specifications, packaging type, and material details.