Production Controlling vs. Planning and Budgeting – How to Effectively Connect Operations with Finance?

Production controlling focuses on operational and quantitative metrics. It measures parameters such as OEE (Overall Equipment Effectiveness), material consumption, scrap levels, and cycle time. Its primary goal is to optimize performance on the shop floor.

Financial planning and budgeting, in turn, translate these operations into the language of money. Financial controlling includes forecasting revenues, fixed and variable costs, as well as managing working capital. The objective here is to ensure the overall profitability of the business. The challenge, however, is that these two areas often rely on different metrics and systems.

If the planning process relies solely on exchanging Excel files between engineers and finance teams, the organization quickly runs into limitations. What are the signs that these two worlds have stopped understanding each other?

When a production manager reports that the plan has been achieved at 100%, it is typically based on the number of units produced. Meanwhile, the financial report shows a negative margin. Why? Because production may have used more expensive substitute materials, generated additional overtime, or consumed more energy than originally budgeted. When operations report in units and finance reports in monetary terms, it becomes difficult to maintain a single, consistent view of the situation.

In a traditional financial model, variance analysis is performed only during the month-end close. If a major failure occurs in the second week of the month, leading to reduced efficiency and increased unit costs, the CFO will only become aware of it in the following month. By then, it’s a case of diagnosing the problem after the budget has already been impacted.

Wycena produktów to jeden z największych punktów zapalnych między oboma działami. W systemach ERP zapisana jest dokładna lista elementów produktu oraz ścieżka, jaką musi pokonać na hali produkcyjnej. Problem w tym, że teoria z systemu rzadko idealnie zgadza się z praktyką. Jeśli dział finansów nie wie, ile czasu pracownicy w rzeczywistości tracą na przygotowanie i ustawienie maszyn albo ile materiału ostatecznie zostaje wyrzuconych jako odpad, to kalkulacja kosztów mija się ze stanem faktycznym. W efekcie firma opiera się na fikcyjnych danych, ustala złe ceny sprzedaży i nieświadomie przepala potencjalne zyski.

Product costing is one of the biggest friction points between these two functions. ERP systems contain a detailed bill of materials and the exact production routing a product should follow on the shop floor. The problem is that this theoretical model rarely matches reality. If the finance team does not know how much time employees actually spend on machine setup and preparation, or how much material ultimately ends up as waste, cost calculations become misaligned with reality. As a result, the company relies on inaccurate data, sets incorrect pricing, and unknowingly erodes its profit potential.

When the sales team forecasts strong demand for a given product and finance approves the revenue plan, it often happens that no one verifies whether the production capacity can actually meet this volume within the required timeframe without significantly increasing fixed costs (e.g., adding a third shift).

The key to connecting these two worlds is adopting an Integrated Business Planning (IBP) model. In this approach, planning is no longer a set of isolated spreadsheets, but a continuous, dynamic process.

In an integrated environment, every change in production volume is immediately translated into material requirements, labor costs, and ultimately into a much more accurate forecast of the profit and loss statement and cash flows. As a result, production controllers and financial analysts work with the same data—just from different perspectives.

Similarly to financial consolidation, relying solely on spreadsheets in such a complex environment significantly increases the risk of errors and slows down processes. The solution lies in advanced EPM platforms, which can pull data in real time from ERP, MES, or APS systems.

It is worth considering solutions such as:

• IBM Planning Analytics (TM1): An analytical engine that is particularly well suited for manufacturing companies. It enables modeling of complex dependencies (e.g., multi-level BOMs or indirect cost allocations) and processes large volumes of data in a fraction of a second. Importantly, it retains an Excel-like interface, making adoption easier for new users.
• OneStream: A modern platform that unifies not only budgeting and operational planning, but also reporting and financial consolidation. It enables the creation of a single source of truth for both engineers and finance teams.
• Anaplan: One of the market leaders in connected planning. The platform enables seamless integration of supply chain and sales & operations planning with the company’s overall budget. It also allows for rapid “what-if” scenario modeling, making it easy to assess how events such as delays in raw material deliveries or production line failures impact margins and cash flow.

Integrating operational and financial controlling is no longer a luxury, but a necessity for manufacturing companies that want to remain competitive. Replacing isolated spreadsheets with dedicated EPM systems enables active modeling of the future and better protection of margins.