It is the practice of creating production schedules that account for real constraints such as machine capacity, labor availability, material lead times, and changeover requirements to produce feasible, optimized plans. APS optimizes the entire manufacturing process by modeling production capacity limits alongside material and labor constraints.

PlanetTogether APS is our cloud-based software solution that brings the power of APS to your operations. It models your constraints, runs what-if scenarios, and updates schedules in real time.  

PlanetTogether integrates bi-directionally with major ERPs. It imports master data, orders, forecasts, and inventory levels for scheduling and exports updated dates and resource allocations to maintain consistency. 

APS schedules work so materials and parts arrive exactly when needed. This minimizes work-in-process and inventory buffers and supports pull-based, lean workflows.  

Yes. Our native Shiftboard connector syncs employee shift patterns and availability with PlanetTogether, ensuring labor assignments match machine schedules in real time.  

APS bridges the gap between planning and execution by providing live visibility into constraints. It syncs live constraints with demand-planning forecasts to align production to actual market needs. Planners can adjust schedules proactively, reducing delays and firefighting. 

PlanetTogether identifies the most constrained resource in your process and sequences orders to maximize throughput at that point. This ensures the slowest step is always fed.  

Master scheduling sets high-level production plans based on demand and capacity. APS refines these plans into detailed, day-by-day schedules that respect real constraints.

PlanetTogether ingests live data from ERP, MES, Shiftboard and other systems, identifies emerging conflicts or delays as they occur, and provides planners with alerts and rescheduling tools so they can update schedules based on the most current information.  

We offer two implementation paths. SureStart is a streamlined approach for companies on a tight budget and delivers a narrow feature set in 45 days. Our standard implementation runs 4 - 6 months and includes blueprinting, configuration, ERP integration, training, user acceptance testing, Go-Live cutover, and a hypercare support period.  

Our Professional Services team can deliver onsite consulting, virtual training, and ongoing support with defined service levels, ensuring smooth adoption and sustained success.  

PlanetTogether APS is built on top of Azure Data Cloud as part of our enterprise-grade infrastructure, ensuring high availability and scalability. We maintain SOC 2 compliance, employ encryption in transit and at rest, enforce role-based access controls, and conduct regular security audits to safeguard your data.  

It delivers realistic schedules, faster what-if analysis, fewer fire drills, improved on-time delivery, reduced inventory, enhanced utilization of people and equipment, and improving productivity by streamlining workflows and balancing workloads. You’ll also see cost savings from fewer expedited orders, reduced overtime, and more efficient manufacturing processes.

PlanetTogether APS serves batch, discrete, and process manufacturers in industries such as Food & Beverage, Life Sciences, Chemical, High-Tech, Metal Fabrication, and more.

Request a personalized demo through our website. Our sales team will work with you to identify your production challenges, show how PlanetTogether APS can address them, and outline the potential return on investment you could realize within six months of go-live.  

MRP calculates material needs and order releases based on demand and inventory data. APS goes further by modeling finite capacity, resource constraints, and job sequencing to create realistic production plans. APS explicitly accounts for finite production capacity constraints when sequencing work orders, whereas MRP focuses solely on material availability.

MPS defines the timing and quantities for finished goods based on demand-planning outputs and demand forecasts. PlanetTogether APS refines the MPS by applying real-world constraints, optimizing sequence, and generating detailed daily schedules.