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Production Planning — PPS, MRP, MRP-II and APS

Production planning — called Production Planning und -steuerung (PPS) in DACH practice — is the discipline of coordinating materials, capacity, labour and tooling to produce goods on time, in the right quantity, at the right cost. It sits at the intersection of ERP, supply-chain planning and shop-floor execution. The right tooling depends on production model (make-to-stock, make-to-order, configure-to-order, engineer-to-order), batch sizes, capacity bottlenecks, and how much real-time data flows back from the shop floor. For a typical DACH Mid-Market manufacturer with 100 to 500 staff and a mixed product portfolio, the answer is usually a planning module inside the ERP plus, for the capacity-constrained operations, a specialist APS tool layered on top.

This guide describes the three layers of production planning (MRP, MRP-II, APS), how production planning integrates with ERP, the capacity-planning techniques that matter in mid-market practice, the lean-manufacturing principles that have shaped DACH production culture, and the top PPS vendors with DACH-relevant reference depth. It is written for buyers shortlisting an ERP with serious production scope, and for operations leaders evaluating whether a specialist APS investment will pay back. We treat the topic operationally because the value of production-planning software is realised on the shop floor, not in the planning office.

Three layers of production planning

Production planning splits into three layers, each addressing a different planning horizon and a different question:

MRP (Material Requirements Planning)

Calculates what materials need to be purchased or produced, in what quantity, by what date, to meet demand. Inputs: bills of material, current stock, sales orders and forecasts, lead times. Output: planned purchase orders and planned production orders. Originated in the 1960s and codified by Orlicky in 1975. Every modern ERP includes an MRP engine. Adequate for stable demand, simple bills of material and abundant capacity.

MRP-II (Manufacturing Resource Planning)

Extends MRP with capacity planning, routing, work-centre loading and shop-floor control. Inputs add: routings, work-centre capacity, tool availability, labour availability. Output adds: production schedules that respect capacity constraints. Codified by Oliver Wight in 1984. Modern ERPs typically include MRP-II for the production module. Adequate for capacity-aware planning when constraints are predictable.

APS (Advanced Planning and Scheduling)

Optimises across multiple constraints simultaneously, in finer time granularity, with iterative re-planning as conditions change. Inputs add: alternative routings, alternative resources, setup-time matrices, sequence-dependent constraints, real-time shop-floor feedback. Output: optimised production schedule, often at minute-level granularity. Examples: SAP IBP and SAP PP/DS, Siemens Opcenter APS, Asprova, PlanetTogether, DELMIA Quintiq, Asprova. Adequate for capacity-constrained production with complex setup dependencies.

The decision rule: if the production environment has more than three persistent capacity constraints and setup times are sequence-dependent, APS pays back. If constraints are mostly material-driven and setups are independent, MRP-II inside the ERP is usually sufficient.

Integration of production planning with ERP

Production planning in mid-market practice almost always lives inside or tightly integrated with the ERP. Three architecture patterns dominate:

Pattern 1: Production planning inside the ERP. The ERP's production module handles MRP and MRP-II planning. Bills of material, routings, work centres and shop-floor data collection all live in the ERP. No external APS. Most common pattern in DACH Mid-Market — works for production environments with manageable capacity-constraint complexity.

Pattern 2: ERP plus specialist APS. The ERP holds the master data and the transactional production orders; a specialist APS reads from the ERP, optimises the schedule, and pushes the optimised plan back to the ERP. Examples: SAP S/4HANA with SAP IBP and PP/DS; Microsoft Dynamics 365 with Siemens Opcenter APS; proAlpha with PlanetTogether. Used when production-planning complexity outgrows the ERP's native capability.

Pattern 3: ERP plus MES plus APS. Three-tier architecture: ERP for commercial and material planning; MES for real-time shop-floor execution and data collection; APS for capacity optimisation. Used in larger mid-market and enterprise manufacturers with high process complexity. The integration burden is significant; the value is real for environments with material capacity savings on the table.

The choice depends on production complexity, not on company size. A 200-staff machinery manufacturer with sequence-dependent setups and capacity constraints may genuinely need pattern 3; a 1,500-staff trading company with assembly operations may only need pattern 1.

Top PPS vendors for the DACH market

For DACH mid-market manufacturers, the practical PPS shortlist combines ERP-internal production modules with specialist APS overlays. The most-shortlisted candidates:

ERP-internal production modules

SAP S/4HANA PP (Production Planning) — broadest scope, deepest reference base, integrates natively with SAP PP/DS for advanced planning.
Microsoft Dynamics 365 F&O Production — strong for discrete and process production at upper mid-market scale.
Microsoft Dynamics 365 Business Central Manufacturing — appropriate for SMB and lower mid-market manufacturers.
proAlpha — manufacturing-led DACH ERP with strong native PPS; specialist focus on machinery and variant manufacturing.
abas Software — engineer-to-order strength; classical Mechanical Engineering reference base.
Infor M3 — food, chemicals, fashion industries; deep process-industry capability.
IFS Cloud — project-based and asset-heavy manufacturing; aerospace, defence, EPC.
oxaion — engineer-to-order and project-based production, strong in DACH.
ams.erp — project manufacturing, plant engineering, machine tooling.
Baumann Software, Industrie Informatik — Austrian and DACH specialists for variant manufacturing.

Specialist APS overlays

SAP IBP and SAP PP/DS — SAP-native APS; integrates seamlessly with S/4HANA.
Siemens Opcenter APS (formerly Preactor) — vendor-agnostic, broad DACH reference base.
Asprova — Japanese vendor strong in Asian and increasingly European manufacturing.
PlanetTogether — mid-market APS with strong integration to Microsoft Dynamics and partner-led DACH presence.
DELMIA Quintiq (Dassault Systemes) — enterprise APS for complex multi-site optimisation.

Lean manufacturing and its relationship to PPS

The DACH manufacturing culture has been shaped by lean-manufacturing principles for three decades, originating in the Toyota Production System and adapted broadly across German and Austrian Mid-Market. The principles directly affect production-planning software choices:

Pull-based production rather than push. Production starts when a customer order arrives or when downstream consumption signals demand (Kanban). MRP-based push planning is the opposite philosophy and creates inventory waste. Modern PPS software supports both modes, but the configuration choices matter.
Low-inventory operations. Lean reduces buffer inventory across the value stream, which sharpens the consequences of planning errors. Strong real-time shop-floor visibility becomes essential; weak data quality becomes painful immediately rather than at month-end.
Continuous flow. Production runs continuously through the value stream rather than in batches. PPS software must support sub-day planning granularity and real-time re-planning when conditions change.
Levelled production (heijunka). Demand is smoothed across production cycles to enable repetitive standard work. PPS software must support levelling logic alongside straight capacity scheduling.
Standard work. Routings and work instructions are tightly defined, with variation actively suppressed. PPS software must enforce routing compliance and surface variation as data, not as ad-hoc deviation.

Manufacturers running lean operations sometimes find that mainstream ERP production modules are too push-oriented and that specialist lean MES tools (Becos, GFOS, Industrie Informatik, MPDV) handle the shop-floor execution better. The architecture choice often combines ERP for commercial flows with a lean-friendly MES for shop-floor operations.

Capacity planning in practice

Capacity planning is where production planning either succeeds or fails operationally. Three techniques recur in DACH practice:

Rough-cut capacity planning. Aggregate capacity check at the work-centre level, against aggregate demand forecasts. Useful for sales-and-operations planning. Most ERPs handle this in MRP-II configuration.

Detailed capacity scheduling. Finite-capacity scheduling at the operation level, respecting setup times, tool availability and labour skill matrices. Beyond what most ERP MRP-II modules handle natively; usually requires APS overlay.

Bottleneck-focused planning. Following the Theory of Constraints, planning prioritises the throughput of the constraining resource and accepts under-utilisation elsewhere. Particularly relevant for capacity-constrained operations. APS tools handle this natively; ERP MRP-II modules require configuration discipline.

The most common failure mode in mid-market capacity planning is treating capacity as infinite during MRP runs and discovering the conflict only when the production schedule reaches the shop floor. Disciplined finite-capacity scheduling at the time of order release prevents this; it also makes order-promise dates more honest, which improves customer-service performance materially.

Frequently Asked Questions

What is the difference between ERP and PPS?

ERP covers the broader commercial and operational backbone of a company; PPS (production planning and control) is a subset focused on production. Most modern ERPs include a PPS module that handles MRP and MRP-II. Standalone PPS tools rarely exist in mid-market practice — the production module inside the ERP is the standard delivery vehicle. Specialist APS (Advanced Planning and Scheduling) tools sometimes layer on top of ERP's PPS module for capacity-constrained operations.

Do we need a separate APS tool, or is ERP's production module enough?

Most DACH Mittelstand manufacturers run successfully on ERP's native production module. Specialist APS pays back when production has more than three persistent capacity constraints, when setup times are sequence-dependent, when alternative routings or resources are common, or when real-time re-planning is needed multiple times per shift. The cost of a specialist APS implementation runs 100,000 to 500,000 EUR; the payback comes from capacity utilisation improvement, typically 5 to 15 per cent, plus reduced overtime and improved on-time delivery.

What is the difference between MES and PPS?

MES (Manufacturing Execution Systems) handles real-time shop-floor execution: order dispatch to machines, data collection, quality recording, traceability. PPS handles the planning that precedes execution: what to produce, when, in what sequence. MES and PPS are complementary — PPS produces the plan, MES executes it and feeds data back. In small operations, the ERP's production module can do both at a basic level; in larger operations, separate MES is the standard pattern.

Which production-planning tool is most popular in DACH?

By installed base, SAP S/4HANA PP and proAlpha dominate the upper mid-market and Mittelstand machinery segment. Microsoft Dynamics 365 F&O Production has been gaining share in the same band. For SMB and lower mid-market, Microsoft Dynamics 365 Business Central Manufacturing, abas Software, and the small-business cluster (weclapp, myfactory) cover most installations. Specialist APS overlays are dominated by SAP IBP/PP-DS in SAP estates and Siemens Opcenter APS or PlanetTogether in non-SAP estates.

How does Industry 4.0 affect production-planning software?

Industry 4.0 (Industrie 4.0 in DACH usage) emphasises real-time data flow between physical equipment and digital systems, predictive maintenance, and AI-driven optimisation. The practical impact on production-planning software has been incremental rather than revolutionary: better integration between PPS, MES and IoT-equipped machines; more sophisticated predictive demand-and-capacity models; AI-assisted schedule optimisation in APS tools. Most of the value remains in operational discipline; the technology amplifies disciplined operations and rarely substitutes for them.