How to handle urgent requests from the PCP without disrupting the production schedule?

"I need this for tomorrow." If you work in Production Planning and Control (PPC), this phrase has probably kept you up at night at least once. The dilemma is real: meeting sales demands means disrupting the schedule; maintaining efficiency can mean risking a client. And PPC is caught in the middle, making decisions under pressure and without sufficient data.

This scenario is not an exception — it is the rule in much of Brazilian industry. According to research by Supply Chain Quarterly (2024), 64% of manufacturers say that meeting delivery deadlines is more difficult today than it was five years ago, meswith more tools available. Meanwhile, the global APS software market is projected to grow from US$1.44 billion in 2024 to US$4.23 billion by 2035, at a rate of 10.29% per year (Spherical Insights, 2025), reflecting the urgency for industries to professionalize planning.

In this article, we explore why urgent requests hinder PCP, how to build effective prioritization rules, and how simulation with APS transforms conflict into collaboration between areas.

Why do urgent orders disrupt production schedules?

Urgent requests disrupt scheduling because every change in the production sequence generates cascading effects: new setups, order reorganization, changes in resource utilization, and delays in other requests. Without visibility into these impacts, the planner makes blind decisions that accumulate inefficiencies throughout the day.

The problem isn't the urgency itself. Every industrial operation deals with variability. The problem is the absence of a structured process to evaluate and absorb exceptions. When there are no transparent prioritization criteria, whoever shouts the loudest wins—and production planning and control (PPC) becomes a hostage to sales.

In practice, this manifests itself in concrete ways. The sales department assumes deadlines without assessing the factory's actual capacity. Planning attempts to accommodate orders within constantly changing constraints. Production must deal with the consequences of these decisions. This misalignment creates a vicious cycle: constant rescheduling generates distrust in the plan, supervisors begin to ignore the schedule, and production planning and control (PPC) loses its organizing function.

Market data shows that more than 90% of manufacturing company still use spreadsheets or manual processes for production planning (LLCBuddy, 2025). In environments like these, rescheduling due to urgency is practically inevitable—and its costs are invisible.

The cascading effect of reprogramming

When an urgent order is processed without prior simulation, the impact is rarely limited to that order. Anticipating an order affects bottlenecks, alters material consumption, changes resource utilization, and interferes with future commitments. A factory operates as an interconnected system, and treating decisions as if they were isolated is one of the biggest hidden risk factors in planning.

The invisible cost of permanent urgency

Beyond the direct financial costs—additional setups, overtime, express shipping—the constant urgency generates cultural effects. Teams work under constant pressure, focused on solving immediate problems. Little room is left for structured analysis, process improvement, or long-term planning. The "firefighting" culture becomes normalized and is mistaken for dynamism.

How to create prioritization rules between sales, production planning and control (PCP), and management?

Creating prioritization rules requires aligning sales, production planning and control (PPC), and management around objective and measurable criteria that define when an exception is justifiable and what the process is for approving it. Without this alignment, prioritization will always be political—and PPC will always lose.

The first step is recognizing that not all urgency is legitimate. Many company operate in a mode where everything is urgent, which is equivalent to saying that nothing is. To break this cycle, it is necessary to:

Define objective prioritization criteria. There are several established approaches in production management. The critical ratio, for example, is calculated by dividing the remaining time until delivery by the pending processing time of the order. The lower the ratio, the greater the actual urgency. Other criteria include the financial value of the order, the risk of losing the customer, the contractual penalty for delay, and the impact on the utilization of bottleneck resources.

Establish a formal exceptions process. Every urgent request must undergo an impact analysis before being accepted. This doesn't mean bureaucratizing the process—it means making it transparent. Who requests, who approves, what criteria are evaluated, and how the decision is recorded.

To provide visibility into the true cost of expedited requests. When a sales representative requests a scheduling conflict, they need to see, with data, what happens to the other 15 requests in the queue. This transparency transforms conflict between departments into fact-based negotiations.

Document and review periodically. Prioritization rules are not static. As the operation evolves, the criteria should be adjusted based on performance data and feedback from the areas involved.

How does scenario simulation with APS resolve the PCP dilemma?

Scenario simulation with APS allows the planner to assess, in minutes, the full impact of fitting an urgent order—including delays in other orders, increased setup time, overtime needs, and effects on bottleneck resources—before making a decision. This transforms production planning and control (PPC) from reactive to strategic.

With an APS solution, the PCP stops responding with "yes" or "no" and starts responding with: "If we accommodate this request, here's exactly what happens with the others." That's the difference between deciding based on guesswork and deciding based on data.

What does APS do that a spreadsheet can't?

APS solutions utilize advanced algorithms to generate schedules that simultaneously consider finite machine capacity, material availability, sequence-dependent setup times, production calendars, and delivery dates. Unlike ERP, which works with infinite capacity, APS reflects the reality of the factory floor.

In practice, this means that the planner can:

• Simulate multiple scenarios before confirming a change
• Visualize the trade-offs of each decision (e.g., reducing the delay in order A causes a delay in order B)
• Compare alternatives and choose the one that generates the least overall impact
• Communicate impacts objectively to the sales team and management

According to a Market Growth Reports report (2026), company that implement APS report, on average, a reduction in leadmes of up to 35% and a 28% improvement in delivery reliability in the automotive sector.MEs that adopted APS for the first time recorded an average increase of 14% in resource efficiency and a 16% reduction in production bottlenecks in the first year of use.

Real case: from 65% to 93% of on-time deliveries

An illustrative example comes from the Brazilian footwear sector. A company in the interior of São Paulo state that adopted an APS solution managed to increase its on-time delivery rate from 65% to 93% in just three mes. In addition to the improvement in the indicator, the company began to simulate different scenarios before confirming orders, eliminating the cycle of daily rescheduling.

NEO Digital Industries has implemented over 100 APS (Applied Processing Systems) projects in Latin America, using Siemens Opcenter APS as its platform. As a certified Siemens Smart Expert partner, NEO combines technical software knowledge with a deep understanding of Brazilian industrial processes.

When should a company invest in APS for PCP?

A company should invest in APS when the complexity of the operation exceeds the capacity for manual management—that is, when there are multiple resources, high mix variability, significant setup times, and frequent changes in priority that make spreadsheets and ERPs insufficient to generate reliable schedules.

Clear signs that it's time to invest in APS include:

• Daily rescheduling is the rule, not the exception
• The PCP is unable to respond quickly to the impact of accommodating an urgent request
• The on-time delivery (OTD) rate is below 90%
• Unplanned setups consume significant productive time
• There is frequent conflict between commercial and production departments regarding priorities
• The scheduling is done using spreadsheets and relies on a few key professionals

Factories with more than 50 productive resources and multiple simultaneous constraints benefit the most, but smaller company also capture significant value when variability is high.

The global APS market is expanding rapidly. According to Spherical Insights (2025), the market is expected to grow at a compound annual growth rate of 10.29% between 2025 and 2035, driven by the adoption of Industry 4.0, integration with IoT, and increasing demand for more agile operations.

What is the role of APS in the relationship between sales and PCP?

APS acts as a translator between sales and production planning and control (PPC), transforming urgent language into impactful data. Instead of subjective debates about priorities, the two areas negotiate based on simulated scenarios that show the real consequences of each decision.

With APS, the PCP can respond to the sales representative in minutes with visual simulations: "If we accommodate customer X's order, orders Y and Z will be delayed by 3 days. If we prefer to stick to the original plan, order X can be delivered in 5 business days. Which scenario does the sales representative prefer?"

This dynamic completely changes the relationship between the areas. Production planning and control (PPC) ceases to be seen as an obstacle and becomes recognized as a strategic partner that enables intelligent decision-making. The sales team gains predictability to negotiate realistic deadlines with the client. And management gains visibility into the real cost of exceptions.

NEO Digital Industries, through Siemens' Opcenter APS, implements this capability in factories across various sectors — from metallurgy to food, from auto parts to packaging. The key difference lies in configuring specific prioritization rules for each operation, ensuring that the system reflects the reality of the business.

How to implement an emergency management process in practice?

Implementing an emergency management process requires combining clear governance rules with tools that allow for rapid impact assessment. The process can be structured into four practical steps that any operation can adopt.

Step 1 — Classify the urgency. Not every "urgent" request has the mes weight. Define categories (e.g., critical, high, medium urgency) with objective criteria associated with each level — order value, commercial risk, contractual penalty, material availability.

Step 2 — Simulate the impact before deciding. Every fitting request should be simulated before being accepted. With APS, this simulation takes minutes. Without APS, it's possible to start with simplified analyses, but accuracy will be limited.

Step 3 — Communicate the impact to the decision-maker. The simulation results should be shared with the sales team and, when necessary, with the board of directors. The final decision should be made consciously: accepting the fit knowing exactly what will be affected.

Step 4 — Record and learn. Each exception should be recorded: reason, projected impact, actual impact, who requested it, who approved it. This database allows you to identify patterns and reduce avoidable emergencies over time.

Company that adopt this type of structured process are able, over time, to reduce the volume of genuine emergencies — because many of them were, in fact, consequences of failures in previous planning, demand forecasting, or communication between departments.

Frequently asked questions about urgent requests at the PCP

What is PCP and how does it relate to urgent requests?

Production Planning and Control (PPC) is the process that organizes what will be produced, when, how, and with what resources. Urgent orders directly impact PPC because they require rescheduling of the planned sequence, potentially causing delays in other orders, increased setup times, and loss of efficiency. A well-structured PPC system, with appropriate tools such as APS (Automatic Production Planning), can handle urgent situations with minimal impact on overall operations.

What is the difference between APS and the ERP planning module?

ERP operates with infinite capacity—it assumes that all resources are always available. APS operates with finite capacity, considering real constraints such as machine availability, materials, operators, and setup times. This allows for the generation of executable schedules and the simulation of scenarios that reflect the reality of the factory floor, something that ERP alone cannot do.

How does APS help reduce conflicts between trade and production?

APS provides objective data on the impact of each scheduling decision. Instead of the production planning and control department saying "it can't be done" and the sales department insisting "it needs to be done," both areas visualize simulated scenarios that show exactly which orders will be affected and by how much time. This transforms subjective discussions into evidence-based negotiations, promoting collaboration between departments.

How long does it take to implement an APS?

Implementation time varies depending on the complexity of the operation. Typical APS implementations take 3 to 6 mes, including factory modeling, rule configuration, ERP integration, and team training. NEO Digital Industries uses its own methodology that accelerates the process based on more than 100 APS projects carried out in Latin America with Siemens Opcenter APS.

Can NEO Digital Industries help my company with production planning and control (PPC)?

Yes. NEO Digital Industries is the largest Siemens partner in the Planning & Scheduling portfolio in Latin America, and is a certified Smart Expert. The company has already helped more than 100 industries transform production planning and control (PPC) into a strategic area, using Siemens' Opcenter APS for scenario simulation, advanced scheduling, and priority management. In addition to APS, NEO works with complementary solutions such as Evocon (OEE), AX4 (logistics), and nPlan, its proprietary planning platform.

Conclusion

Urgent requests aren't going away. But the way PCP handles them can change radically. The difference between an operation that puts out fires and one that manages emergencies intelligently lies in three pillars: clear prioritization rules, scenario simulation tools, and a formal exceptions process.

With APS, the PCP gains the ability to respond in minutes: "If this request fits, this is what happens with the others." Data-driven decision making. No guesswork. No conflict.

NEO Digital Industries specializes in transforming this vision into reality on the factory floor. As Siemens' largest Planning & Scheduling partner in Latin America, NEO has the experience and tools to take your production planning and control (PPC) to the next level.

→ Learn how Siemens Opcenter APS can help your operation: neodigitalindustries.com/solucoes/programacao-avancada-aps

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