Performance based efficiency monitoring system for Manfacturing industry

Technology Stack

Problem Statement

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Data collection and management: Collecting and managing data from multiple manufacturing plants and departments can be a challenge, especially if the data is not centralised or if the plants and departments are using different systems for data collection and management.

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Data analysis and interpretation: Analysing and interpreting data from multiple plants and departments to make informed business decisions can be difficult, especially if the data is not in a consistent format or if it is not easily comparable.

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Limited visibility: Limited visibility into the performance of individual plants and departments can make it difficult to identify and address performance issues in a timely manner.

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Inefficiency: Manual monitoring can lead to inefficiency and inaccuracy, as it requires a significant amount of time and resources to collect, analyse, and interpret the data.

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Difficulty in identifying problem areas: Complex and un-visualised reports can make it difficult to identify problem areas, as it is hard to identify patterns and trends in the data.

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Solution Overview

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One of the world's largest manufacturers aimed a strategic vision of improving their plant’s performances through the development of a plant efficiency monitoring system.

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The solution tracks the performance of each plant and identifies inefficiencies within specific streams and shifts within the plant.

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Replacement of manual maintenance of reports and analytics with automated report generation to determine the top-performing plants and Target KPIs achievements among plants with more accuracy and seamless manner.

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This solution automates report generation regarding the performance of each stream in particular shifts for each plant-based and overall plants.

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The internal manager can view best performing streams and shifts among overall plants in accuracy and error-free due to the system-generated reports and analytics replacing manual work.

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Business Impact

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Improved visibility: With a centralised system, managers and executives can easily access real-time performance data from all plants, which allows them to quickly identify any issues and make informed decisions.

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Increased efficiency: By monitoring performance data in real-time, managers can quickly identify and address bottlenecks, inefficiencies, and other issues that may be impacting production.

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Better communication: A centralised system allows managers to easily share performance data and reports with other departments and stakeholders, which improves communication and collaboration.

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Reduced downtime: By identifying and addressing issues early on, a centralised performance monitoring system can help to reduce downtime and improve overall plant efficiency.

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Better decision making: With all the data in one place, one can have better insights to make strategic decision which can impact the company positively.

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Testimonials of Our Happy Clients

Rick Tigges

Rick Tigges

CFO, Bemodo

"They are very responsive and able to shift focus quickly as we have needed it for business reasons."
Ryan McClellan

Ryan McClellan

CEO, iLookin.com, LLC

"They [OptiSol Business Solutions] have been very friendly and they kept up with the work. They did the job as we had discussed and as everything was arranged."
Chris Gordon

Chris Gordon

CEO, Wait for me

“I can't speak enough about how pleased I am with their process; it was seamless and efficient.”
Oli Robinson

Oli Robinson

CEO, Rule:Fresh

"What impressed me the most was their willingness to go above and beyond what was asked."
Dan Talken

Dan Talken

Founder, My Equipment Library, LLC

"We're constantly impressed with their speed and quality of the development that they achieve on a consistent basis."
Ken Kisner

Ken Kisner

Molecule Corp

The best part about working with OptiSol Business Solutions is their commitment to being readily available to their partners. They’re even willing to work into late hours of the night depending on time differences. The solution they produced has already doubled efficiency levels.

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Key Features

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Plant Level- Dashboard

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Performance based Ranking recognition

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Stream wise Reports

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Update Target and Actual KPI

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Export data

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Refined Filtering of reports

Our Award-Winning Team

A seasoned AI & ML team of young, dynamic and curious minds recognized with global awards for making significant impact on making human lives better

Awarded Bronze Trophy at CII National competition on Digitization, Robotics & Automation (DRA) – Industry 4.0

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50+

AI & ML
Engineers

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40+

AI & ML
Projects for
reputed Clients

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5 yrs

in AI & ML
Engineering

Awarded as Winner among 1000 contestants at TechSHack Hackathon

Trusted and Proven Engagement Model

  • A nondisclosure agreement (NDA) is signed to not disclose any sensitive information revealed over the course of doing business together.
  • Our NDA-driven process is established to keep clients’ data and IP safe and secure.
  • The solution discovery phase is all about knowing your target audience, writing down requirements, and creating a full scope for the project.
  • This helps clarify the goals, and limitations, and deliver quality products & services.
  • Our engagement model defines the project size, project development plan, duration, concept, POC etc.
  • Based on these scenarios, clients may agree to a particular engagement model (Fixed Bid, T&M, Dedicated Team).
  • The SOW document shall list details on project requirements, project management tools, tech stacks, deliverables, milestones, timelines, team size, hourly/monthly rate cards, billable hours and invoice details.
  • On signing the SOW, an official project kick-off meeting shall be initiated.
  • Our implementation approach, ecosystem, tools, solutions modelling, sprint plan, etc. shall be discussed during this meeting.

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