Planning and scheduling challenges
Your challenges
Value chain management is tough, especially moving toward (semi-)automated, optimal planning. Modeling and optimizing end-to-end value chains in complex operational environments brings deep technical challenges. Here are three common complexity hotspots:
How do I model complex, custom value chains?
Every value chain is unique. Off-the-shelf tools often can't handle specific constraints or business rules, forcing companies to oversimplify or rely on inefficient manual fixes. Capturing real operational complexity requires custom, adaptable optimization models.
Composor, our in-house optimization framework, comes with a rich library of reusable components that can be flexibly combined to model any operational environment.
Composor uses state-of-the-art solvers, smart problem decompositions and heuristics to speed up computation without sacrificing accuracy, ensuring industrial-grade performance even for large, complex planning problems.
Delays, demand spikes, supplier issues, … Uncertainty is the norm in value chains. While forecasts help, turning them into robust, real-time plans is a major challenge. Handling unpredictability well is key to resilient operations.
Composor fluently integrates with the most popular forecasting models. Want to know more about forecasting? Check out this page!
our approach
We work with your team to understand your goals, KPIs, and where computer vision can bring real business value with concrete, high-impact opportunities.
From collection to labeling, we help you set up a robust pipeline with expert input, ensuring the model learns from the right examples, without spending time on redundant data labeling.
We design models that fit your problem. We evaluate multiple approaches to find the best mix of performance, generalization, and cost. We try to find the balance between using off-the-shelf foundational models of custom trained models.
We evaluate model performance early and often. You get to see results fast, give feedback, and guide the process, so the final solution matches your reality, not just the lab.
Why partner with Superlinear for your planning and scheduling needs?
Superlinear delivers high-impact planning and scheduling solutions, built for your industry, aligned with your goals, and ready for real-world deployment.
We don’t force your business into generic templates. Our solutions are custom-built to model your unique constraints, business rules, and value chain logic — no oversimplifications, no workarounds.
Planning at scale is hard, and all get exponentially more complex as you grow. We combine state-of-the-art solvers, problem decomposition, and domain-specific heuristics to deliver solutions that are both fast and accurate, even at industrial scale.
We move fast, from proof of concept to production. You’ll see working prototypes early, iterate with us, and stay in the loop at every step. The result? A planning system that fits your operation, not a lab demo that breaks in the field.
We believe trust comes from clarity. Every plan we produce can be traced back to clear assumptions and constraints, and we build interfaces that help your team understand, adjust, and take control.
You don’t need to overhaul everything at once. We start with a concrete pain point, deliver fast value, and scale from there, building planning capabilities that grow with your operations.
We bridge the gap between prediction and execution. Once a strong forecasting layer is in place, we help you turn it into real, optimized plans, whether it's workforce scheduling, supply allocation, or production runs.
SUCCESS STORIES
Proven planning and scheduling projects in action
scope of solutions
Planning and scheduling solutions and services
Need a boost in your planning projects?
Check out our free accelerator.
Accelerator
Composor is an in-house developed Python package that aims to resolve the above challenges by offering off-the-shelf building blocks to build and solve custom value chain management problems in a scalable way. It also provides an interface to forecasting frameworks.
Modular
FAQs about planning and scheduling
Go deeper into planning and scheduling with our articles
ARTICLE
In an increasingly complex and competitive world, businesses must streamline operations to stay ahead. Optimizing your value chain through AI, automation, and smart decision-making can drive efficiency, cut costs, and enhance resilience.
Read more
ARTICLE
AI in logistics and supply chain: Optimizing processes and driving impact. Explore how AI optimizes demand forecasting, production planning, and inventory management, leading to more responsive and resilient supply chains.
Read more
ARTICLE
Learn how to implement efficient operations research (OR) solutions using OR-Tools. This guide offers practical tips, covering key strategies like optimizing variables and constraints, trying different solvers, and adding symmetry-breaking constraints.
Read more
Contact Us
Got questions or ready to dive in?
Discuss with our expert about your planning and scheduling needs
Joris Roels
Solution Architect