Complexity management starts with the product
Objectives
Complexity management starts with the product
Effective complexity management starts where the greatest leverage effect occurs: with product complexity. This is because processes, structures, and thus the entire value chain can be simplified in a sustainable manner from this point. The aim is to avoid complexity, reduce it, and, where necessary, control it in a targeted manner—always with an eye on costs, efficiency, and sustainability.
Complexity management definition
Complexity management refers to the targeted control and reduction of unnecessary complexity in products, processes, and organizational units. It aims to tailor product variety to market requirements, simplify interfaces, and thereby reduce costs. The definition of complexity management thus encompasses both strategic and operational measures that help companies use resources more efficiently and strengthen their competitiveness.
OVERVIEW
Complexity management methods
Complexity creates effort—in development, production, service, and organization. Effective complexity management methods are needed to make this effort predictable. The targeted use of data-based analysis and evaluation procedures makes it possible not only to recognize complexity, but also to actively shape it. In practice, three approaches can be distinguished:
Avoiding complexity
Reducing complexity
Controlling complexity
The most effective lever in complexity management is prevention: don’t let complexity arise in the first place. This is particularly effective in the early stages of product development. With market-oriented product portfolio planning and a modular product kit, you can offer variants that meet customer needs—without unnecessary diversity. In addition, data-based variant management in product maintenance ensures that new complexity does not arise in the first place.
A thorough market segment analysis is used to tailor the product portfolio specifically to customer needs—as diverse as necessary, as focused as possible. Inquiries, orders, IoT, and service data are evaluated to gain a precise understanding of segments and their requirements. The result: a clearly focused portfolio with measurable benefits. For example, a special-purpose machine manufacturer was able to increase its sales by two million euros in the first six months alone.
A well-designed modular system reflects market diversity with minimal technical complexity. The Cquenz software solution can be used to create a digital model of the planned kit that integrates all relevant information – from quantities and costs to CO₂ consumption, availability, and future trends. This provides well-founded statements on ROI, market coverage, and scaling potential. A modular construction kit can achieve concrete, measurable advantages: >Reduction in product costs by up to 15% Cquenz digitally maps all phases of complexity management and provides a consistent, data-based basis for decision-making. This allows the entire team within the company to maintain an overview of the current status and the basis for evaluation. Our consultants provide the team with technical support throughout the entire project and assist in every phase – from initial modeling to sustainable implementation.
Portfolio planning and modular development lay the most important foundations for sustainable complexity reduction. In product maintenance, it is now important to have the right processes in place and to anchor them in the order processing process in order to avoid further variance in the product life cycle.
Methods
Reduce complexity
Reducing complexity without using development projects for this purpose is particularly recommended during the ongoing product life cycle.
In data-based variant management, the development of diversity is continuously tracked and evaluated in the systems. This makes it possible to identify emerging variance in the product life cycle at an early stage, control it in a targeted manner, and limit it to a reasonable level.
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Product maintenance
Portfolio planning and modular development lay the most important foundations for sustainable complexity reduction. In product maintenance, it is now important to have the right processes in place and to anchor them in the order processing process in order to avoid further variance in the product life cycle.
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Methods
Mastering complexity
Successful complexity management means designing business processes in such a way that existing complexity can be used sensibly and synergies exploited. Various simulation tools provide support in this regard, e.g., in optimizing batch sizes, warehousing, or capital commitment.
Those who master complexity understand its cost implications. Various analyses and simulations support data-based decisions in complexity management:
- Modeling and estimating the costs of an item
- Comparing alternative concepts in terms of complexity costs
- Evaluating portfolios and quantity structures
Only with a sound understanding of complexity costs can viable decisions be made.
A high proportion of CTO (configure-to-order) is crucial for customer-specific products. With a modular system, CTO rates of over 80% can be achieved – even in special machine construction. At the same time, the ETO (engineer-to-order) share is reduced, which leads to a significant reduction in design hours – often by up to 60%.
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Complexity management requires processes to be specifically tailored to variant diversity. Simulating future quantities and variants forms the basis for specifically designing variant creation points in the process and making optimal use of quantity effects.
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A key objective is to find the right balance between inventory levels and delivery capabilities. Forward-looking scenarios make it possible to develop strategies for inventory, procurement, and batch sizes that optimize both capital commitment and delivery times.
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We support complexity management throughout the entire product development process – from portfolio planning and modular development to process optimization and variant management in product maintenance. The central component: Cquenz creates a consistent model that allows for a holistic evaluation of all measures.
We not only provide companies with methodological support, but also assist with technical integration – e.g., by tapping into relevant data sources or setting up a suitable data analytics infrastructure. Together with the team, we establish a new way of working that makes complexity manageable in the long term.
FAQ
Complexity management encompasses all measures to avoid, reduce, or systematically control unnecessary variety in products, processes, and structures. The goal is to increase efficiency, reduce costs, and use company resources meaningfully.
Because complexity generates effort – for example in development, production, purchasing, or service. Through active complexity management, these efforts can be measurably reduced and synergies in the organization can be better utilized. This creates efficiency and increases competitiveness.
RetryRThe most important complexity management methods include:
- Portfolio planning based on market and usage data
- Development of modular product kits
- Data-based variant management
- Configuration of customer orders
- Adaptation of processes regarding batch sizes and inventory management
These methods help make well-founded decisions about variety.
By analyzing and optimizing the existing product portfolio and establishing lean processes in product maintenance. It is crucial to distinguish between value-adding and superfluous diversity—and to retain only what benefits the market.
- Reduction of product and process costs
- Faster development times
- Higher market orientation through clearly tailored portfolios
- Lower capital commitment and shorter delivery times
- Better decision-making foundations through data and models