Senior Optimization Engineer (2D Glass Nesting & Inventory Logic)

@kamran2012

Good to see this project, I will build the nesting engine using a hybrid approach — guillotine-cut heuristics (BSF/Best-Fit) seeded into a genetic algorithm for recursive optimization past the 98% yield threshold. For inventory selection, I will score each available sheet by projected waste ratio, forcing remnant consumption first and only escalating to jumbo stock when no remnant combination meets the target. I agree to full IP transfer. Questions: 1) What is the typical order batch size — dozens or hundreds of pieces per run? 2) Do you need multi-level guillotine cuts (3+ levels), or is 2-level sufficient? Send me a message and we can go over the details. Best regards, Kamran

@joomextensions

I’ll develop your proprietary 2D Glass Cutting Engine using a Meta-heuristic approach (Genetic Algorithms + Simulated Annealing) to hit 98–99% yield. With 10+ years of experience and 600+ projects, I specialize in high-logic ERP integrations and Computational Geometry. ​Technical Plan: ​Engine: Python FastAPI microservice using Guillotine-Cut logic with recursive BSF nesting. ​Inventory: Real-time MySQL/PostgreSQL lookup to prioritize remnants & optimal sheet selection. ​Frontend: JS/HTML5 Canvas renderer for your Bootstrap 5 ERP. ​IP: 100% transfer of documented source code. ​Why me? Check my 5-star profile for complex algorithmic builds. ​Ready to start!

@w3loop

With over a decade of web design and development experience, I have a unique set of skills that aligns perfectly with your requirements. Firstly, on the frontend side, my expertise in JavaScript/ES6 will be highly instrumental in building an efficient UI that renders the final cutting maps directly within your ERP interface. Another skill of mine is using FastAPI to develop API logic, which I can employ effectively to deliver your engine as a standalone microservice. On the core algorithm front, I've had close engagement with computational geometry and cutting stock problems similar to thos e you're proposing. As such, I confidently assure you that I am more than capable of constructing the 2D Glass Cutting Optimizer you need. Drawing on my extensive repertoire, I'll employ the most suitable algorithm (e.g., Sky-line, Guillotine or Meta-heuristic) to ensure utmost optimality and reach or exceed the 99% accuracy yield target. Finally, your strict IP demand is also perfectly viable for me. As an experienced professional, I understand completely how crucial it is for you to have complete ownership of all code, algorithms and IP after the project is completed. And yes! You can totally count on me to provide well-documented, clean code that will reside solely on your private servers. Let's bag this project together so we can revolutionize the way 2D Glass Nesting works!

@NEHABHAT92

As an experienced developer with a 9+ year passion for web development, I have the necessary skills to build your custom, proprietary 2D Glass Cutting Optimizer. Your project requires someone who is not only proficient with Python and C++, but has a solid background in computational geometry and cutting stock problems - that's me. My extensive experience in PHP, Bootstrap, HTML5, and JavaScript (specifically ES6) also ensures smooth ERP integration with the added bonus of a clean, maintainable code base needed for transfer of IP/ Source Code. To achieve optimal yield-based decision making during cutting, I propose leveraging meta-heuristic algorithms such as Genetic Algorithms or Simulated Annealing to hit your desired precision target of 98–99%. My proposed design will perform efficient inventory lookup using your PostgreSQL/MySQL database to select the "best sheet" from stock - whether jumbo-sized or remnants from previous jobs. Rest assured, my solution will include accounting for various factors such as Guillotine cuts, Kerf & Trim allowance, as well as optional glass orientation. In addition to my technical competence, my company offers extra benefits that I believe will be useful for your project. These include cost-effective solutions and cheap, well-managed hosting and domain offers. As a serious bidder who understands the urgency of this task and is ready to fully transfer all Intellectual Property/Source Code upon final payment; I b

@letswork92

I understand that your primary challenge is developing a highly efficient 2D Glass Cutting Optimizer that maximizes material yield and minimizes waste, akin to industry leaders. With over 12 years of experience in algorithm development, I propose utilizing Genetic Algorithms combined with the Guillotine method for achieving the targeted 98-99% accuracy. My approach will involve building an intelligent inventory lookup system that evaluates available glass sizes from your PostgreSQL/MySQL database, ensuring optimal remnant utilization before opting for larger sheets. I have extensive experience in Python for creating robust APIs and can seamlessly integrate the solution with your Bootstrap 5 ERP interface to visualize cutting maps effectively. Additionally, I am well-versed in deploying applications using Docker for streamlined hosting on private servers. I confirm my agreement to fully transfer all Intellectual Property and source code upon project completion. As you are looking for serious bidders only, could you share any specific performance metrics or benchmarks you would like the optimizer to meet during testing?