These four levels form an integrated system in which each level draws its inputs from the level above it and feeds its own constraints back up. It is this end-to-end planning loop, running from S&OP through MPS and capacity planning down to scheduling, that ensures the coherence and effectiveness of the whole system.

S&OP (Sales & Operations Planning): strategic alignment

Definition and role of S&OP

S&OP (Sales & Operations Planning), known in French as the Plan Industriel et Commercial (PIC), is the first strategic stage of industrial planning. It is a periodic, collaborative decision-making process that aims to balance commercial demand against the company's overall capacity over a 12-to-18-month horizon.

S&OP sits at the most macro level of the planning chain. It works on product families (groups of products that share similar manufacturing processes and resources) rather than on individual SKUs. This aggregated approach makes it possible to maintain a strategic view without getting lost in the detail.

According to Pulsa Conseil, S&OP answers three fundamental questions:

1. What are the priorities: what to produce, how much, and by when?

2. What capacity is available: labor, equipment, financial resources?

3. How to balance the two while respecting strategic objectives?

Key S&OP inputs

Building a robust S&OP requires several essential inputs:

Sales and marketing data:

• Sales forecasts by product family

• Order book of firm and forecast customer orders

• New-product launch plans

• Market trends and seasonality

Capacity data:

• Overall production capacity by site / unit

• Available human resources (projected headcount)

• Raw-material supply constraints

• Planned investments (new machines, expansions)

Financial data:

• Revenue and margin targets

• Operating budget and cash-flow constraints

• Inventory-level targets (carrying costs)

Operational data:

• Current finished-goods inventory by family

• Average production lead times by family

• Available storage capacity

S&OP frequency and method

S&OP is generally revised on a monthly basis, sometimes quarterly in low-variability sectors. This frequency makes it possible to:

• React to market changes without falling into micro-management

• Prepare investment decisions with enough lead time

• Gradually adjust plans based on actual results

The structured S&OP method recommends a five-step process:

1. Data update: consolidating forecasts and actuals

2. Demand review: validating commercial assumptions

3. Supply review: validating industrial feasibility

4. Pre-S&OP meeting: preparing scenarios and recommendations

5. Executive S&OP meeting: final arbitration by the leadership team

This monthly meeting involves the key functions: General Management, Sales/Marketing, Supply Chain, Production, Finance, and HR.

S&OP objectives

The main objectives of S&OP within the S&OP, MPS, capacity planning, and scheduling process are:

✅ Align the organization: build consensus between commercial objectives (revenue growth) and industrial constraints (available capacity)

✅ Balance overall load and capacity: ensure the forecast volumes are achievable with current resources, or plan the necessary investments

✅ Provide a framework for the MPS: set a clear trajectory for the Master Production Schedule over the next three to six months

✅ Optimize financial resources: arbitrate between capacity investments, safety stock, and service level

✅ Anticipate pressure points: identify the risk of overload or underload early enough to make the right decisions (hiring, subcontracting, investment)

A well-built S&OP makes it possible to manage production resources so as to balance the workload against capacity over the long term.

MPS (Master Production Schedule): turning strategy into concrete action

Definition and scope of the MPS

The Master Production Schedule (MPS), known in French as the Plan Directeur de Production (PDP), is the second level of industrial planning. It translates the strategic objectives set in S&OP into a more precise tactical plan over a three-to-six-month horizon.

Unlike S&OP, which reasons in terms of product families, the MPS drills down to the level of finished products or main SKUs. It answers the essential operational questions:

• What should I produce? (which exact items)

• How much? (precise quantities)

• When? (week by week)

The MPS acts as a contract between sales and production. On one side, it gives sales guarantees about what can be delivered. On the other, it shields production from abrupt swings that would be impossible to absorb.

MPS inputs

The MPS relies on more precise and more up-to-date data than S&OP:

From S&OP:

• Validated overall volumes by product family

• Macro capacity constraints

• Inventory-level targets

Updated sales data:

• Firm customer orders already booked

• Sales forecasts by SKU (detailed forecast)

• Customer priorities (framework contracts, strategic accounts)

Industrial data:

• Machine capacity by work center

• Labor availability (HR schedule, time off)

• Current finished-goods inventory by SKU

• Work-in-progress (work orders already released)

Supply data:

• Availability of raw materials and components

• Current supplier lead times

• Defined safety stock

The MPS is more representative of production than S&OP because it draws on actual orders in addition to forecasts.

MPS frequency and tools

The MPS is updated on a weekly basis, or even daily in highly dynamic environments. This regular revision makes it possible to:

• Incorporate new customer orders

• Adjust to capacity variations (breakdowns, absences)

• Reassess priorities according to emergencies

To manage this complexity, high-performing companies rely on dedicated tools:

• ERP (Enterprise Resource Planning): master-data management and basic simulation

• APS (Advanced Planning & Scheduling): advanced load/capacity scenario simulation

• Specialized solutions such as Oplit: collaborative planning with real-time simulation

These tools make it possible to simulate different production scenarios and choose the most optimal one against multiple criteria: service level, costs, inventory, and lead times.

MPS objectives

Within the S&OP, MPS, capacity planning, and scheduling process, the MPS plays a pivotal role, with the following objectives:

✅ Maximize the customer service level: ensure orders are delivered within the promised lead times

✅ Ensure the plan is industrially feasible: confirm that the planned volumes can genuinely be produced with the available resources

✅ Optimize the inventory/production balance: avoid both stockouts and costly overstocking

✅ Serve as the basis for the load plan: provide the inputs needed to validate detailed feasibility at the resource level

✅ Enable simulation: provide the ability to assess the impact of different assumptions (adding a customer, a supplier delay, etc.)

The MPS makes it possible to track actual sales against the forecasts set in S&OP, thereby creating a loop of learning and continuous improvement.

The load plan and finite-capacity planning: the reality on the floor

Definition and importance of the load plan

The load plan is the third level of the S&OP, MPS, capacity planning, and scheduling process. Its role is to validate the operational feasibility of the MPS by comparing the planned workload against the actual capacity available.

Unlike the previous levels, which can work in "infinite capacity" mode (plan first, adjust later), the load plan introduces the notion of finite capacity: it checks that each resource (machine, workstation, operator) will not be overloaded.

The load plan answers three critical questions:

1. Where are the bottlenecks? Which resources will saturate first?

2. How can the load be smoothed? Can some work orders be shifted to avoid peaks?

3. Which levers to pull? Should we add overtime, subcontract, or hire?

Load-to-capacity matching consists in estimating the resources to be mobilized to meet a given demand over a given period. This analysis compares the resource requirement against the available means.

Load-plan inputs

To carry out a meaningful load/capacity analysis, the following data is essential:

From the MPS:

• List of SKUs and quantities to produce per period

• Forecast production schedule

Detailed technical data:

• Process routings: the sequence of operations for each product

• Standard times: manufacturing durations per operation (unit time + setup time)

• Bills of materials (BOM): the components required for each product

• Routings: the assignment of operations to workstations

Capacity data:

• Machine availability: operating calendar, planned maintenance hours

• Workforce availability: staff present, skills, cross-training

• Actual efficiency: observed vs. theoretical performance rate (OEE)

• Constraints: available tooling, storage areas, raw materials

Load-plan frequency

The load plan is revised on a weekly basis, or even daily in high-variability environments. This high frequency makes it possible to:

• React quickly to disruptions (breakdowns, absences, supplier delays)

• Adjust priorities according to customer emergencies

• Anticipate load pressure before it becomes critical

In sectors such as aerospace, automotive, or special-machine building, load/capacity management can even be done in real time thanks to MES (Manufacturing Execution System) or advanced APS solutions.

Load-plan objectives

The objectives of the load plan within the S&OP, MPS, capacity planning, and scheduling system are:

✅ Identify production bottlenecks: pinpoint the critical resources that limit overall capacity

✅ Arbitrate priorities: decide which work orders to release first given the capacity constraints

✅ Smooth the load: spread the workload evenly over time to avoid peaks and troughs

✅ Adjust the plan: modify the MPS if necessary to make it genuinely feasible

✅ Activate capacity levers: decide on concrete actions (overtime, subcontracting, postponing maintenance, etc.)

✅ Provide visibility: give production managers a clear view of the upcoming load

The load plan makes it possible to steer the shop floor by establishing a schedule of the quantities to produce along with release and delivery dates.

Infinite capacity vs. finite capacity

A key concept to understand in capacity planning:

Infinite capacity:

• Work orders are planned without regard to capacity limits

• You can end up with utilization rates of 300% or 500%

• Useful for identifying overloads, but not for running the shop floor

Finite capacity:

• The capacity limits of each resource are respected (max 100%)

• If a workstation is saturated, the work order is automatically shifted or assigned to an equivalent station

• Realistic and executable planning

Modern software such as Oplit makes it possible to simulate finite-capacity scenarios to validate feasibility before releasing work orders.

Scheduling: the ultimate level of precision

Definition and role of scheduling

Scheduling (ordonnancement in French) is the fourth and final level of the S&OP, MPS, capacity planning, and scheduling process. It is the most operational level, the one closest to execution on the floor.

Scheduling consists in defining the optimal execution order of work orders, taking into account all shop-floor constraints: the availability of machines, operators, tooling, and materials, as well as customer priorities and delivery requirements.

Scheduling is "the arrangement that allows tasks to be executed sequentially so that the whole production run is completed within the allotted time".

The fundamental difference from the load plan:

• The load plan checks that, overall and across a week, there is enough capacity

• Scheduling decides precisely: on Monday morning, run work order 12345 on machine M1, then work order 67890 on M2, and so on

Scheduling inputs

Scheduling relies on very fine-grained data updated in real time:

From the load plan:

• List of work orders to release per period

• Forecast load per resource

Real-time floor data:

• Machine status: available, in production, down, under maintenance

• Operator availability: present, skills, current assignments

• Work-order progress: which operation is underway, how much remains to be done

• Available stock: materials and components actually available in the warehouse

• Available tooling: tools, molds, and jigs that are free or in use

Priorities and constraints:

• Customer delivery dates: firm commitments

• Sequencing constraints: costly changeovers to minimize

• Business rules: preference for certain work orders on certain machines

• Technical constraints: certain operations must follow one another without delay

Scheduling frequency

Scheduling operates in real time or with a daily update, sometimes several times a day. This responsiveness is essential because the shop floor is subject to many disruptions:

• Unplanned machine breakdowns

• Last-minute operator absences

• Supply delays

• Quality rejects forcing a run to be redone

• Urgent orders inserted as top priority

Modern scheduling tools (APS, MES) enable an automatic update of the schedule as soon as an event occurs, ensuring that everyone works on the most recent version of the plan.

Scheduling objectives

Within the complete S&OP, MPS, capacity planning, and scheduling system, scheduling aims to:

✅ Guarantee smooth execution: ensure every operator knows at all times which work order to handle first

✅ Optimize lead times: minimize waiting time between operations and reduce throughput time (lead time)

✅ Reduce WIP (Work In Progress): limit work-in-progress to improve cash flow

✅ Improve responsiveness to disruptions: automatically recompute the optimal schedule when an incident occurs

✅ Provide operational visibility: give all stakeholders (production, logistics, sales) a clear view of progress

✅ Optimize resource utilization: maximize the utilization rate of machines and operators by reducing downtime and transitions

✅ Respect customer priorities: ensure that urgent or strategic orders are handled first

Scheduling corrects assumptions against the day's reality and sequences tasks and work orders according to shop-floor constraints.

Scheduling methods and algorithms

Scheduling uses different priority rules to decide the order of processing:

Classic rules:

• FIFO (First In, First Out): first come, first served

• LIFO (Last In, First Out): last in, first served

• EDD (Earliest Due Date): the nearest delivery date first

• SPT (Shortest Processing Time): the shortest duration first

• CR (Critical Ratio): the ratio between time remaining and work remaining

Advanced optimizations:

• Minimizing changeovers: grouping similar work orders

• Load balancing: spreading work across equivalent stations

• Accounting for constraints: mandatory sequences, limited tooling

Modern software solutions such as Oplit incorporate these algorithms to automatically propose the best schedule according to the defined objectives.

In summary: coherence across S&OP, MPS, load, and scheduling

How to ensure continuity between levels

The performance of an S&OP, MPS, capacity planning, and scheduling system rests on coherence and synchronization across all levels. Here are the key principles:

1. The importance of reliable data

Each level relies on the outputs of the previous one. If the data is wrong from the outset (unrealistic sales forecasts, obsolete routings, overestimated OEE), the entire planning chain will be distorted.

The critical data to make reliable:

• Regularly updated sales forecasts

• Manufacturing routings and standard times that reflect reality

• Actual performance rates (OEE), not theoretical ones

• Physical inventory that matches system inventory

• Machine availability that includes preventive maintenance

2. Synchronizing the planning horizons

The horizons must overlap to ensure continuity:

• S&OP (12–18 months) encompasses the MPS (3–6 months)

• The MPS (3–6 months) comfortably covers the load plan (one week to three months)

• The load plan feeds daily scheduling

This temporal cascade ensures there is always enough visibility to make the right decisions.

3. Using integrated software

High-performing companies rely on tools that natively integrate the different planning levels:

• ERP (SAP, Oracle, etc.): the data backbone and transactional management

• Advanced APS (Oplit, Demand Solutions, etc.): simulation and optimization

• MES: real-time feedback on shop-floor progress

These tools enable:

• An automatic flow of data from one level to the next

• Scenario simulation to assess the impact of decisions

• Traceability of the plan's successive versions

• Collaboration between the different departments

Modern planning solutions connected to the ERP make it possible to run load/capacity simulations to explore several scenarios and optimize the MPS upstream.

Best practices for effective planning

Regular, well-framed S&OP meetings

• A monthly cadence respected religiously

• A structured agenda and upfront preparation

• Decisions made in the meeting (no deferrals)

• Minutes and an action plan circulated within 24 hours

Systematic variance analysis

• Compare planned vs. actual at every level

• Understand the causes of variances (disruptions, planning errors, bad data)

• Put corrective actions in place

• Capture the lessons learned to improve future forecasts

Collaborative tools and digitalization

• Abandon scattered Excel files

• Centralize planning in a single tool

• Give each stakeholder the visibility they need

• Automate calculations and simulations

A planning culture

• Train everyone in the concepts of S&OP, MPS, capacity planning, and scheduling

• Make the interdependence of decisions clear

• Hold each level accountable for its commitments

• Recognize planning performance (KPIs, incentives)

Case study: the value of integrated planning

The starting point of an industrial SME

The company: a 150-person SME manufacturing mechanical components for the automotive sector, with both series and make-to-order production.

Issues identified:

• A customer service level of 72% (target: 95%)

• Work-in-progress: 8 weeks of tied-up inventory

• Weekly planning meetings lasting 3 hours with no clear decisions

• Bottlenecks identified too late

• Sales teams unable to give reliable delivery dates

Root cause: the absence of any planning structure. There was no S&OP, the MPS was a simple Excel file, there was no load/capacity tool, and scheduling was done manually on a whiteboard.

Rolling out an S&OP, MPS, capacity planning, and scheduling process

Phase 1: Structuring S&OP

• Setting up a monthly S&OP meeting

• Creating product families

• Defining overall capacity by family

• Aligning sales / production / finance

Phase 2: Deploying an MPS tool

• Implementing Oplit, connected to the ERP

• Training the planners

• Load/capacity simulation before releasing work orders

Phase 3: Detailed scheduling

• Finite-capacity scheduling by work center

• Displaying priorities on the shop floor

• Daily updating of progress

Results after 12 months

Operational performance:

• Customer service level: 72% → 94% ✅

• Work-in-progress: 8 weeks → 4 weeks ✅

• Planning-meeting time: 3h → 45min ✅

Financial gains:

• Inventory reduction: -35% → €800K of cash freed up

• Productivity gain: +12% thanks to better sequencing

• Overtime reduction: -25%

Improved visibility:

• Sales reps can confirm a date in 5 minutes (vs. 2 days before)

• Production managers spot pressure points 3 weeks in advance

• Management has a consolidated, six-month view of the load

Key success factors

✅ Executive sponsorship: strong involvement from the Operations Director

✅ Training: everyone trained in the planning concepts

✅ The right tool: an Oplit solution sized for the company, not an oversized ERP

✅ Support: an external consultant for the first three months to structure the processes

✅ Continuous improvement: a quarterly review of the process, with adjustments

This case demonstrates the concrete impact of a well-structured, well-equipped S&OP, MPS, capacity planning, and scheduling system.

Structure your planning to boost performance

Multi-level industrial planning is not optional; it is a necessity in today's competitive environment. Companies that excel at planning systematically outperform their competitors on service level, costs, and profitability.

The S&OP, MPS, capacity planning, and scheduling system detailed in this article is the proven methodological foundation for structuring your planning effectively:

From strategy to operations, each level plays a key role:

• S&OP aligns the organization over the long term and sizes strategic capacity

• The MPS translates that vision into a concrete production plan and simulates feasibility

• The load plan validates the load/capacity balance and identifies bottlenecks

• Scheduling optimizes day-to-day execution and reacts to disruptions

The concrete benefits of a well-structured system:

• ✅ A 15-to-25-point improvement in customer service level

• ✅ A 20-to-35% reduction in inventory and work-in-progress

• ✅ A 10-to-20% productivity gain

• ✅ Less overtime and emergency subcontracting

• ✅ A better working climate (less stress, clear priorities)

Where to start?

If your company does not yet have a structured S&OP, MPS, capacity planning, and scheduling process, here are the first steps:

1. Assess your maturity: where do you stand today? Excel, a basic ERP, an advanced tool?

2. Prioritize the work streams: start with the most critical level (often the MPS or scheduling)

3. Train your teams: the methodology matters as much as the tool

4. Choose the right tool: a solution like Oplit, specialized in industrial planning, will deliver more value than a generic ERP

5. Implement gradually: shop by shop, product family by product family, step by step

Take action

Industrial planning is a complex subject, but it is masterable with the right methodology and the right tools. Don't stay stuck in permanent firefighting and flying blind.

Discover how Oplit can help you structure and digitalize your S&OP, MPS, capacity planning, and scheduling process:

👉 Discover how to optimize your Master Production Schedule

👉 Request a personalized Oplit demo

By structuring your planning from S&OP through to scheduling, you will transform your production from a reactive cost center into a proactive competitive asset.