Modularization Study 2019/2020
The New Modularization Study 2019
Modular products increase reuse, reduce R&D (research and development) expenditure and help to achieve purchasing advantages.
The modularization studies by ID-Consult and partners already clearly demonstrated our combination of modularization competence and corporate success.
It is important for the participants to be able to precisely locate their own position in the spectrum of modularization: The primary goal of the new edition of the Modularization Study 2019, to which we cordially invite you - remains to be able to identify benchmarks and fields of action.
Click here in order to participate.
A winning product delights customers and satisfies the manufacturer
because it exceeds customer expectations and makes an optimum
contribution to the company’s results.
The usual cost optimization programs are geared towards the individual product, disregarding the potentials of modular product building blocks in the process.
With METUS, the cost optimization of the modular product portfolio is a great success. Design-to-cost plus a reduction of the complexity: Design-to-Cost PLUS.
Utilizing four levers for a cost-optimized product:
- Reducing non-required external variance: Identify variant drivers early on in the product creation process and correlate the variants with KPIs of product success. This means: Conclusions can be made on the optimum product variants.
- Detecting internal variance and avoiding redundancies: With the understanding (and a corresponding visualization) of the variant drivers, non-variable parts and modules can be derived.
- Permitting overspecification in favor of standardization wherever positive effects on the overall portfolio outweigh added cost on the product level.0
Consideration of functional costs in the context of the contribution to success and costs of a product function
Using the customer journey for a seamless product process from requirement to product structure
Companies frequently have difficulties transforming market and technology trends into new products that bring customer benefit. The biggest challenge is typically not the lack of new ideas, but rather the lack of structuring and prioritizing them; it is criticial for product success that the right conclusions for the customer-oriented design of future products and services are made from all collected customer experiences. The market and product views must mesh in a single model of the product.
The customer journey is a method of the design thinking approach that can be used to determine and evaluate customer requirements in a targeted manner. From an overview of solution-neutral user stories, a value proposition can be worked out and a requirements list derived from the results. This list describes the properties that the product requires for the implementation of the demanded features.
Product Management 4.0
Which products do we need? Which are must-have capabilities for market success? What is the optimum variance to succeed with our potential customers? These are no simple questions in light of a practically unmanageable number of success factors. Answers can be found, though: Through the visualization of all decisive parameters of the product and aligning all product stake-holders.
End-to-end product responsibility demands end-to-ebnd product management. Product owners must have access to a system for the interdisciplinary coordination and visualization of all dependencies: METUS
“With the METUS® methodology and software, we have become familiar with the unique opportunity to visualize and analyze our complex portfolio. With a total of three action packages that promise cost savings from 10 to 45%, we now have an ideal foundation for our variance and portfolio decisions.”
Mapping product functionality in Software: Smart control of product variance
Through digitalization, the functionality of a product is increasing implemented by its software. The software is also determining product benefit more and more. At the same time, the variance of products can usually be mapped more affordably in software than in hardware. So says the theory.
In practice, however, this promise fails as the various methodologies of the individual development disciplines – mechanical systems, electronics, electrical engineering, fluidics and software – can barely be synchronized with each other. Various change management methods – traditional and agile – seem to be incompatible at first glance. An interdisciplinary product model and synchronized cycle times of the development disciplines, however, can be implemented pragmatically.
The DNA of the digital twin
Product structures and processes in the creation of the product must be mapped digitally with increasing complexity – in the digital twin of the product.
Characteristics added to the product early on decide on its success. The early decisions form the DNA of the digital twin: functions and function carriers, variance and costs.
Our contribution: We enable you to be able to make these decisions early and with certainty. METUS is used for the visualization of all dependencies in the product.