The client is a mid-sized engineering manufacturing company based in Western India, supplying custom-fabricated mechanical components and assemblies to industrial equipment manufacturers, infrastructure contractors, and OEM partners. The product mix includes machined metal components, fabricated sub-assemblies, and custom-built mechanical parts.

Each customer order is made to order, produced in low to medium volumes, and engineered to specification. This operating model demands precision, traceability, and tight coordination across departments—requirements that are difficult to meet without structured systems such as engineering manufacturing software designed for job-centric operations.

Manufacturing Environment

The organization operates in discrete manufacturing operations where production is job-based rather than repetitive. Every order follows a unique route through machining, fabrication, assembly, and inspection. Designs may evolve during execution, timelines vary by job, and cost control is critical at the individual order level.

This environment requires continuous alignment between engineering, production, and quality teams. Without real-time visibility, even small gaps in communication can result in rework, delays, or cost overruns.

Key Operational Challenges

Limited Visibility into Job Progress

Job orders were tracked manually using spreadsheets and verbal updates. Supervisors had no live view of job status, and management relied on fragmented reporting. The absence of structured job-based production tracking made it difficult to prioritize work and identify bottlenecks early.

Engineering Changes During Production

Drawing revisions were shared offline through emails or printed copies. Shop-floor teams occasionally worked with outdated drawings, leading to avoidable rework and scrap. There was no controlled system for revision history or version approval.

No Clear Job-Level Cost Tracking

Material and labor costs were estimated at a high level. Actual consumption and effort per job were not captured systematically, limiting visibility into manufacturing job costing and making it difficult to identify profitable versus loss-making orders.

Fragmented Quality Tracking

Quality inspections were conducted, but records were not centrally maintained. Rework and rejection data lacked structure, and issues were often discovered late, increasing corrective effort and delivery risk.

Approach Taken

A focused job-based production control system was implemented to bring structure, visibility, and accountability into daily operations. Rather than deploying a broad ERP, the solution concentrated on execution control, drawing governance, and job-level data capture.

As a specialist manufacturing software development company, Arobit designed the system around real shop-floor workflows, ensuring it supported engineering-driven production without adding unnecessary complexity.

Key Processes & Controls Implemented

Job Order Creation & Routing

Each customer order was created as a job with defined production steps and clear responsibility at every stage. This established end-to-end visibility and improved shop floor production control.

Drawing & Revision Control

Approved drawings were attached directly to job orders, with complete revision history maintained. Shop-floor teams accessed only the latest approved versions, reducing errors from outdated documentation.

Shop-Floor Production Tracking

Operators recorded job progress at each stage, while supervisors monitored daily output and exceptions. Delays and rework were logged against job numbers, improving execution transparency.

Quality Checks & Rework Tracking

In-process and final inspections were recorded centrally. Rework quantities and reasons were captured per job, allowing faster root-cause analysis and corrective action.

Job-Level Cost Capture

Material issues and labor hours were tracked against individual jobs. Actual costs were compared with estimates, enabling accurate visibility into order-level profitability.

Operational Impact

The system delivered measurable execution improvements:

  • Clear, real-time visibility into job status across the factory
  • Reduced rework caused by drawing mismatches
  • Improved coordination between engineering and production teams
  • Faster identification of delays, bottlenecks, and quality issues

Business Value Delivered

Management gained stronger control over job execution, improved delivery predictability, and clearer insight into cost performance. Reliable daily production reporting replaced manual updates, enabling informed decision-making.

Through focused manufacturing software development services, Arobit helped the organization transition from manual, fragmented tracking to a disciplined, data-driven production environment. The result was better accountability at the job level, improved cost control, and a scalable foundation for managing complex engineering orders.