Success story
Detailed Scheduling Optimization
Turn production requirements into executable schedules across interconnected machines, balancing capacity, compatibility, and operational preferences – without formulas or scripts.
schedule generation
for automated
synchronized planning
to a production-ready solution
or scripts
required to configure objectives and constraints
Rulex supported a Fortune 50 manufacturer in coordinating production and packing within a single detailed scheduling process.
The company was managing orders of different sizes across multiple machines, each with its own capacity limits, while production and packing equipment could not always operate together.
By modeling these interdependencies within the same optimization problem, Rulex helped generate feasible schedules while improving production efficiency and respecting operational requirements.
When every scheduling decision affects the next
Detailed scheduling becomes significantly more complex when multiple constraints need to be satisfied at the same time.
Rulex’s general optimization task, the Build/Solve, allowed the company to account for all requirements and generate an optimized, feasible schedule in a user-friendly way.
CONSTRAINT DEFINITION
Production and packing requirements were defined in a simple spreadsheet using intuitive English syntax. Some of them included:
- Capacity: different batch sizes and maximum machine capacities had to be respected.
- Compatibility: production and packaging equipment could only be combined when operationally compatible.
- Plan stability: the optimized schedule needed to minimize unnecessary changes to the company’s initial plan.
Requirements could be classified according to their importance: ‘hard’ constraints represented conditions that could not be violated, such as ensuring that every batch was assigned within the scheduling plan, while ‘soft’ constraints captured operational preferences, such as assigning certain products to the machines best suited to manufacture them.
PROBLEM CONFIGURATION
The external spreadsheet, containing all constraints, was then imported into Rulex Platform and connected to the Build/Solve.
Through a visual interface, planners could further configure the optimization by selecting the mode and solver, setting execution and iteration limits, and so on, according to the scheduling requirements.
DETAILED SCHEDULE GENERATION
Rulex’s Build/Solve then constructed and solved the optimization problem assigning batches to compatible production and packing resources while respecting hard constraints and optimizing operational preferences. The resulting synchronized schedule provided planners with a feasible production and packing plan in under 10 minutes.
From complex constraints to an optimized plan in minutes
The resulting process automated detailed scheduling while balancing feasibility, operational preferences, and plan stability, leading to:
- Less than 10 minutes to generate a synchronized schedule
- Unnecessary changes to the initial schedule minimized
- No mathematical formulas or scripts
- A production-ready solution delivered in under one month
Tech point
Take a closer look at the Rulex Platform capabilities behind this detailed scheduling solution.
01. User-friendly optimization with the Build/Solve task
Part of Rulex Platform’s broader suite of vertical and general-purpose optimization solvers, the Build/Solve is a flexible task for rapidly modeling and solving business problems without requiring complex formulas or scripts.
Decision-makers can define constraints, objectives, and variables in configurable spreadsheets using business-redeable syntax, then connect them to the task to generate an optimized solution.
A range of proprietary and third-party algorithms allows users to select the solver best suited to the problem and planning priorities.
Why Rulex for detailed scheduling
Rulex turns complex scheduling requirements into fast, feasible plans. Beyond optimization, Rulex Platform brings together capabilities such as composite AI, what-if scenario simulation, and custom decision dashboards, helping teams explore alternatives and support decisions from planning through execution.
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Frequently asked questions
Can Rulex optimize production and packing schedules together?
Yes. Rulex can optimize interconnected production and packing decisions simultaneously, helping teams avoid conflicts between processes and generate synchronized schedules that respect real operational constraints.
Does Rulex require custom code to configure scheduling constraints?
No. With the Build/Solve optimization task, objectives, variables, and constraints can be defined in configurable spreadsheets using plain-English syntax, without complex mathematical formulas or custom scripts. This makes scheduling models easier to adapt as requirements change.
What other capabilities can Rulex add to detailed scheduling?
Beyond optimization, Rulex Platform combines capabilities such as what-if scenario simulation, composite AI, custom decision dashboards, and automation tools. This allows teams to explore alternative plans and connect scheduling decisions with downstream execution.