Success story

Optimize
Workforce Planning Alongside APS

Connect existing production planning with workforce requirements and operational constraints to generate a unified, executable schedule.

End-to-end Transport Optimization for Truck Logistics
75% less time
required to generate
a unified plan
Production
+ workforce

coordinated in one
optimization framework
Plain-english
rules

to define objectives
and constraints
APS-integrated
decision workflow

A Fortune 50 supply chain organization needed to coordinate production and workforce planning across a process that relied on separate systems and manual activities.

Production line scheduling was managed through the company’s APS system, while personnel planning – including availability, technical skills, and rest-period requirements – was handled separately in spreadsheets. Inventory availability and downstream logistics constraints added further dependencies that also required manual coordination.

The challenge was to optimize these interconnected requirements together while giving planners greater autonomy to adapt objectives and constraints as planning conditions changed.

Rulex Platform provided a unified optimization framework for production and workforce allocation, incorporating inventory and logistics constraints while complementing the company’s existing APS environment.

Bringing production and workforce planning together

Rulex Platform brought production and workforce requirements into a unified optimization process using its Build/Solve optimization task. Production objectives and personnel requirements could be considered alongside inventory and downstream logistics constraints within the same planning framework.

Planners could independently update planning information and define objectives and constraints using plain-English rules, reducing reliance on IT teams or external vendors when requirements changed. Data, objectives, and constraints could then be connected through Rulex Platform’s drag-and-drop environment for automatic model construction.

Define requirements

Constraints in plain English

Build the model

Link to task, pick algorithm

Solve

Best feasible schedule

Rather than optimizing production in isolation and coordinating personnel separately, the resulting production plan provided the basis for subsequent workforce allocation on the production line. This created a more coordinated process across previously separate planning activities.

Faster planning with greater planner autonomy

The new process reduced the time required to generate a unified production and workforce plan by 75%.
The solution enabled:

  • Greater planner autonomy, with objectives and constraints directly configurable by planners.
  • Less manual coordination between production scheduling, workforce planning, inventory, and logistics

Tech point

Take a closer look at the Rulex Platform capabilities behind this work shift planning solution

Meet Rulex Platform

01. User-friendly optimization with the Build/Solve task

Rulex Build/Solve is a general-purpose linear optimization task designed to model and solve complex planning problems. It supports continuous and integer decision variables, allowing objectives and constraints to represent different types of operational decisions within the same optimization model.

Once variables, objectives, and constraints are configured, Build/Solve constructs the underlying optimization model and applies the selected solver. Proprietary and third-party algorithms can be used according to the characteristics of the problem and the required balance between execution speed and solution quality.

02. Integration with existing APS systems

Rulex Platform extends APS processes with a flexible decision layer, allowing external data, additional parameters, and business-specific constraints to be incorporated without changing the core APS configuration. Decision logic can be managed through visual, traceable flows, extending standard planning processes with requirements and exceptions that would otherwise be handled separately.

Where possible, organized outputs can be reintegrated into the APS workflow, while planners retain the ability to inspect, fine-tune, or override proposed plans. This allows organizations to extend APS capabilities while preserving the existing planning environment and keeping planners in control of the final decision.

Why Rulex for work shift scheduling

Rulex turns disconnected production and workforce decisions into a coordinated, executable plan. Beyond optimization, Rulex Platform combines capabilities such as Composite AI, what-if scenario simulation, custom decision dashboards, automation, and APIs, helping teams explore alternatives and connect planning decisions with execution.

Explore more supply chain case studies powered by Rulex Platform

Frequently asked questions

What is work shift scheduling optimization?

Work shift scheduling optimization coordinates workforce requirements with production needs, considering factors such as employee availability, technical skills, rest periods, and operational constraints when building an executable schedule.

Can Rulex optimize production and workforce planning together?

Yes. Rulex can bring production requirements and workforce constraints into the same optimization framework, helping planners coordinate production schedules with the workforce needed to execute them.

Can planners configure and update scheduling logic without custom code?

Yes. With Build/Solve, planners can define and adjust objectives and constraints using plain-English syntax, eliminating reliance on custom mathematical formulations, and scripts, and avoiding reliance on IT teams to implement modifications as planning requirements change.

Can Rulex work with an existing APS system?

Yes. Rulex can complement existing APS environments by adding optimization and decision-making capabilities around current planning processes, allowing organizations to extend their existing capabilities.