Makigami in the Product Development Process

Using a lean methodology to integrate sustainable and circular product design

JournalIndustrie 4.0 Management
Issue Volume 39, 2023, Edition 6, Pages 55-60
Open Accesshttps://doi.org/10.30844/I4SE.23.1.64
Bibliography Share Cite Download

Abstract

In order to realize future improvements in circular product properties such as lifespan extension, continued use or high-quality recycling, industrial product development and design processes must take the entire ecological and economic life cycle of products into account. This article uses a company example to explain how such processes can be captured and analyzed using the Makigami method to support a comprehensive “Design for Circularity” concept. The chosen approach facilitates the identification of the application points of circular design decisions and the implementation of validated circular economy principles.

Keywords

Article

The approaches presented here were developed as part of the “DfC-Industry” research project funded by the German Federal Ministry of Economic Affairs and Climate Action (BMWK), which aims to develop digital solutions for designing resource-efficient products for the circular economy. An industry-independent operationalization of this design approach is intended to ensure industrial usability in the economic cycle using concrete design rules, resource efficiency analyzes and circularity indicators for the product engineering process (PEP).

When it comes to product development, most companies focus on adapting or further developing existing products. However, they can ultimately only overcome the challenges arising from fundamental changes to previously existing framework conditions by developing innovative, sustainable products. Many companies therefore view a sustainable innovation process as a starting point for future-oriented development [1].

The early stages of development influence more than 80% of a product’s environmental, economic and social impact. Designers and engineers therefore have a significant influence on sustainable product development due to the way they define product properties such as mass or durability [2]. Hence, it is advantageous if the product life cycle is optimized in the early design phases [3].

An industrial PEP is examined using the “Makigami” method. The aim is to sensibly integrate the methodology in development processes and thus make it usable for circular business transformation.

Analysis and visualization through Makigami methodology

The Japanese term “Makigami” stands for “paper roll” and is also known as a process map or a swim lane diagram. The tool is used to record current and target states as part of a process improvement with the aim of passing on information completely and without waste across different areas. The method visualizes administrative processes. The “paper roll”, which can also be a digital image, is divided into parallel lanes that represent the departments or experts involved. Within these pathways, actions and decisions as well as their connections are represented, similar to a flowchart [4].

The analysis of the processes and the creation of the Makigami are carried out in a joint workshop conducted with those involved in the process. The individual processes are discussed and visualized. The final result is a completed and coordinated process document that includes not only a proper process description, but also the identification and allocation of Ecodesign Approaches (EDAs).

Application of the Makigami methodology to a practical example

Activities and decisions at actor level
Figure 1: Activities and decisions at actor level.

The industrial partner’s product development process is based on a stage-gate process (See Fig. 1) [5]. After brainstorming has been completed, the product development process is divided into five work steps (stages/phases = P). Companies carry out several measures at the same time within one work step. Between the individual work steps there are milestones or gates (Innovation Maturity Gates = IM, Quality Gates = QG).

At these gates, management decides based on the interim results and predefined criteria whether the team should continue on with the project, whether it needs to repeat the last work step again or whether the project will be ended [1]. In addition to the current measures, circular product requirements based on EDAs can be implemented within the stages, which must be checked in the gates.

An interactive workshop will be used to establish a generic PEP. The aim of the workshop is to define the anchoring of circular approaches in the PEP together with all relevant actors [6]. For this purpose, two phases have to be passed: In the first step, a full process capture leads to the description of the actual status quo, which then serves to develop a future circularity-oriented process. The results include both the definition of concrete EDAs and the optimal point in time for implementation of circular solutions.

Current state: Recording the PEP

In the first step, all PEP processes are recorded on a Makigami together with the actors. Key questions support the definition of the relevant activities and working documents.

Actors are understood to be the central stakeholders of the PEP who assume essential functions in the overall process. These include project managers (as decision-making positions with external communication), development engineers (for technical/constructive product design), technical experts, material developers, cost engineers (to run cost assessment of design variants), LCA experts (to conduct ecological assessment), buyers (for selection of suppliers), manufacturing planners (to select manufacturing/production process) as well as other external stakeholders, such as customers and other decision-makers (to provide specifications/requirements for product implementation).

Software and systems at artifact level
Figure 2: Software and systems at artifact level.

When recording the process, a distinction is made between actions and decisions. These are separated from each other by using different geometrical elements in the Makigami (actions are rounded, while decisions are angular; see Fig. 1). In addition, color marking is used to assign actions and decisions to the actors involved. The overall process researched here consists of 27 activities and 27 decisions, which are characterized by team decisions and iterative processes to optimize product variants.

The Makigami is supplemented by a parallel artifact collection that records, classifies and hierarchically structures all documents and formalized results of work processes to enable an overview of all the relevant information and interfaces in the PEP. These include, among other things, requirement lists, meeting minutes, hand drawings, CAD models, protocols, calculations and other elements of formalized information storage. The following categories are used for artifact collection and classification: Product Lifecycle Management/Enterprise Resource Planning (PLM/ERP), Application Data Management (ADM), authoring systems, project drive and data sources such as material databases.

In the present application example, the Makigami method was expanded to include a haptic element: the individual artifacts were made physically available in the form of nestable cardboard boxes, meaning that as the process capture progressed, all work results that were created as a result were available as physical objects in the workshop. The nestability made it possible to map hierarchical relationships between the artifacts. In addition, the involvement of various function-holders in the creation or modification of the artifacts was noted using colored adhesive dots. This supports both process understanding and optimization of the interface structures.

To illustrate this, Figure 2 shows an excerpt of the artifact collection. The PEP in this case includes 30 artifacts spanning all five categories. The visualization illustrates the complexity and variety of different documents and data formats [7] as well as the potential for interface optimization.

Target state: Timely integration of the EDA into the PEP

Essential features in the product development process
Figure 3: Essential features in the product development process.

The implementation of ecodesign principles in the PEP influences the way products are designed and can therefore contribute significantly to the success of the circular economy [8]. At the operational level, ecodesign leads to product improvement in an environmental sense, which is based on EDAs as a guide [9]. The parameter to be integrated is the degree of circularity of a product or a product feature. The definition of the ecodesign principles was taken from the EU Directive 2009/125/EC [10].

The assignment and description of the EDAs was carried out using the company-specific stage-gate process in collaboration with company experts. It is important for product developers to know the constructive measures to implement towards a circular product, but also to know the ideal time for this implementation. A combination of informal and timely recommendations for action is therefore crucial for sustainable product development.

Integration of Ecodesign approaches at actor level
Figure 4: Integration of Ecodesign approaches at actor level.

The EDA for “environmental impact” is continuously taken into account, starting from the first functional prototypes (P3) using an ecological assessment (LCA). In addition, the EDA for “substances of concern” must be observed due to legal regulations (e.g. RoHS/REACH). All other EDAs can be selected and added to the requirements list for a specific product from the idea generation phase onwards.

After successful implementation of the EDAs, series development of the circular product begins after the incubation phase. In Figure 4, the current product development process is linked to recommendations for action from the respective EDA. This allows the user to assign specific circular measures to the respective phases of the process. The current process will be developed into a “future” scenario.

Discussion of the method and results

The content and timing of the ecodesign recommendations for action presented here may provide a general idea for circularity implementation, although deviations from the PEP will occur depending on the company. The solutions shown here are examples and should therefore be supplemented or adjusted to fit unique company requirements. The “Makigami” method enables such adjustments as well as further detailing and the selection of the EDA that is appropriate for the respective development project. Thanks to its compact form of representation, the Makigami is suitable as an orientation aid, especially at the beginning of product development.

The implementation of selected EDAs also leads to challenges in indicative measurability due to the different complexity of the EDAs or in difficulty of data collection. The actual implementation in the target process must be carried out in accordance with standards and with additional verification through individual control instruments within the gates. This study has attempted to visualize this process as generically as possible. However, this is not fully free from industry-specific terms, such as the software used, and therefore cannot be completely generalized. However, the representation of the entire process enables a holistic view of the PEP and the interfaces at the artifact level.

One challenge lies in linking existing data and software types with the EDAs. Future automation offers the potential to reduce these complex structures and simplify their consideration and evaluation within the design environment [11]. When developing sustainable products, those involved in the design process can benefit from multi-criteria quantitative sustainability information [12], which is available in the early phases of product development.

Conclusion and implementation

Product design plays a crucial role in the ecological, economic and social impact of a product [2]. Process visualization using Makigami enables a holistic overview of the PEP in order to recommend ideal points in time for integrating circular measures. The transferability to different PEPs is very high. The target process makes it clear that the greatest potential can be addressed right at the start of development, in the innovation process.

If all relevant EDAs are integrated into the process as a requirement at this point, they can be implemented in the product in following phases and then be checked iteratively (“design instead of re-design”). This is because from the “design freeze” onwards, if any changes are necessary, these will require a great deal of time and money to implement. A systematic recording of the artifacts created in the PEP identifies interfaces for the future automation of optimization and review measures: By embedding circular decision-making aids in the company’s IT landscape and coupling them with other models, such as ontologies, the development of circular products can be simplified.

The generic Makigami forms the starting point for a transparent process consideration with the aim of circular improvements. However, company-specific adjustments are necessary for long-term integration in practice. The model presented can be adapted to individual processes or developed in a workshop as described. This type of joint recording with all actors enables a holistic understanding of the EDAs and thus integrative process optimization.

This article was created as part of the “DfC-Industry” project, which is funded by the Federal Ministry for Economic Affairs and Climate Protection and the Jülich project management agency under the funding code FKZ 03EI5005A. The authors thank Dr. Torsten Hummen and Dr. Ralf Mendgen from Robert Bosch GmbH for the fruitful cooperation and especially for the support in the recording and development of the Makigami.


Bibliography

[1] Scholz, U.; Pastoors, S.; Becker, J. H.; Hofmann, D.; van Dun, R.: Praxishandbuch Nachhaltige Produktentwicklung. Berlin Heidelberg 2018.
[2] Molzbichler, K.: Nachhaltiges Design und User Experience – Digitale Transformation und die Auswirkungen der Gestaltung auf Mensch und Umwelt. In: oekom, Hochschulschriften zur Nachhaltigkeit 2019, p. 82.
[3] Buchert, T.; Neugebauer, S.; Schenker, S.; Lindow, K.; Stark, R.: Multi-criteria Decision Making as a Tool for Sustainable Product Development – Benefits and Obstacles. In: Procedia CIRP 26 (2015), pp. 70-75.
[4] Bertagnolli, F.: Lean Management – Introduction and In-Depth Study of Japanese Management Philosophy, 2nd Edition. Berlin 2022, pp. 224-225.
[5] Engeln, W.: Methoden der Produktentwicklung. München 2006, p. 18.
[6] Widmann, U.; Weissinger, J.; Breitling, T.; Hackenberg, U.; Wundram, K.; Goß, S.: Produktentstehungsprozess. In: Pischinger, S.; Seiffert, U. (ed): Vieweg Handbuch Kraftfahrzeugtechnik, 9th Edition. Wiesbaden 2021.
[7] Lashin, G.; Stark, R.: Virtuelle Produktentwicklung. In: Bender, B.; Gericke, K. (Hrsg): Pahl/Beitz Konstruktionslehre – Methoden und Anwendung erfolgreicher Produktentwicklung, 9th Edition. Berlin Heidelberg 2021.
[8] Kamp Albæk, J.; Shahbazi, S.; McAloone, T. C.; Pigosso, D. C. A.: Circularity Evaluation of Alternative Concepts During Early Product Design and Development. In: Sustainability 12 (2020) 22, p. 9353.
[9] van Doorsselaer, K.: The role of ecodesign in the circular economy. In: Circular Economy and Sustainability (2022), pp. 189-205.
[10] Europäische Kommission: Proposal for a REGULATION OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL establishing a framework for setting ecodesign requirements for sustainable products and repealing Directive 2009/125/EC. 2022.
[11] Babiceanu, R. F.; Seker, R.: Big Data and virtualization for manufacturing cyber-physical systems: A survey of the current status and future outlook. In: Computers in Industry 2016 (81), pp. 128-137.
[12] World Economic Forum, Ellen MacArthur Foundation: Intelligent assets – Unlocking the circular economy potential (2016).

Your downloads


Solutions: Product Development

You might also be interested in

MAKI—A Digital Assistant for Practice-Based Learning

MAKI—A Digital Assistant for Practice-Based Learning

Why every factory is a learning factory
Olaf Resch ORCID Icon
With the help of digital assistants, academic teaching is possible in any factory. In order to achieve the best learning effects, however, the interests of all stakeholders must be taken into account. The factory wishes to deploy its employees quickly and productively, the learners desire a positive learning experience, and the educators want to illustrate abstract concepts in a meaningful and practical way. The only way to combine all of these perspectives is via a well-thought-out educational concept and highly functioning technology.
Industry 4.0 Science | Volume 42 | 2026 | Edition 2 | Pages 70-77
Serious Gaming and the Energy Transition

Serious Gaming and the Energy Transition

Collaborative knowledge generation and interactive understanding of complex interrelationships
Janine Gondolf ORCID Icon, Gert Mehlmann, Jörn Hartung, Bernd Schweinshaut, Anne Bauer
Conveying the complexity and multifaceted nature of the energy transition to a broad audience is a challenge. This article demonstrates how interactive serious games on a multitouch table can help make connections tangible and comprehensible. The games and the table were used in various conversational contexts. These are presented here in three case vignettes based on participant observation of the different applications, as well as situated and shared reflection. The vignettes demonstrate how interaction can trigger epistemic processes, enable shifts in perspective, and foster collective thinking, all of which are necessary for shaping the future of society as a whole.
Industry 4.0 Science | Volume 42 | 2026 | Edition 2 | Pages 62-69
Industrial Transformation via a Machining Learning Factory

Industrial Transformation via a Machining Learning Factory

A learning module to foster competencies for a sustainability-driven transformation
Oskay Ozen ORCID Icon, Victoria Breidling ORCID Icon, Stefan Seyfried ORCID Icon, Matthias Weigold
Sustainability-enhancing transformation processes are necessary in all sectors if we are to remain within planetary boundaries. This also applies to the industrial sector as a significant emitter of greenhouse gases. Employees need new competencies to master this complex task of industrial transformation. These range from CO2 equivalents accounting to the development and evaluation of transformation scenarios, including technical measures. The learning module developed here addresses these competency requirements and uses the example of the ETA factory to show how a competency-oriented learning module for industrial transformation can be structured. It essentially comprises four phases: data collection and CO2 equivalents accounting, cause analysis, development of measures and evaluation of measures.
Industry 4.0 Science | Volume 42 | Edition 2 | Pages 38-47 | DOI 10.30844/I4SE.26.2.38
Data Quality and Domain Expertise for Resilient AI Deployment

Data Quality and Domain Expertise for Resilient AI Deployment

Integrating anomaly and label error detection in industry
Pavlos Rath-Manakidis, Henry Huick, Erdi Ünal, Björn Krämer ORCID Icon, Laurenz Wiskott ORCID Icon
AI implementation transforms work and worker-technology relationships in industrial quality control. This paper explores how approaches to data quality and model transparency support ethical AI deployment, fostering worker agency, trust, and sustainable work design in automatic surface inspection systems (ASIS). Recurring problems like data inefficiency, variable model confidence, and limited AI expertise point to key challenges of human-centered AI: user trust, agency and responsible data management. A solution co-developed with an ASIS supplier demonstrates that the challenges extend beyond the purely technical, underscoring the value of AI design that augments human capabilities. Technical solutions such as anomaly, label error, and domain drift detection are proposed to enhance data quality and model reliability. The insights emphasize the following generalizable strategies for resilient AI integration: understanding user-reported problems through a human-AI interaction lens, ...
Industry 4.0 Science | Volume 42 | Edition 1 | Pages 128-135 | DOI 10.30844/I4SE.26.1.120
Digital Competence Lab (DCL) for Speech Therapy

Digital Competence Lab (DCL) for Speech Therapy

Designing a learning platform to advance digital skills
Anika Thurmann ORCID Icon, Antonia Weirich ORCID Icon, Kerstin Bilda, Fiona Dörr ORCID Icon, Lars Tönges ORCID Icon
The digital transformation of healthcare results in lasting changes in speech therapy. Smart technologies and artificial intelligence (AI) are creating new opportunities to ensure therapy quality, address care bottlenecks, and actively involve patients in exercise processes. At the same time, these developments are expanding the role of speech therapists, who increasingly use digital systems as supportive tools in addition to their core therapeutic tasks. Based on a feasibility study of the AI-supported application ISi-Speech-Sprechen in a real-world setting of complex Parkinson's therapy (PKT), this article outlines the key challenges associated with implementing smart technologies.
Industry 4.0 Science | Volume 42 | 2026 | Edition 1 | Pages 110-118 | DOI 10.30844/I4SE.26.1.102
AI Skills for Responsible Use

AI Skills for Responsible Use

Realistic learning environments, critical thinking, and role design in teams
Valentin Langholf ORCID Icon, Niklas Obermann ORCID Icon, Uta Wilkens ORCID Icon, Marco Kuhnke, Michael Prüfer
Artificial intelligence (AI) is changing the world of work. But how can work teams learn to use AI support in a way that delivers speed advantages and ensures consistently high quality? One possible approach is to test it in a workplace-like simulation. Trying it out under realistic conditions shows the role that critical thinking plays.
Industry 4.0 Science | Volume 42 | Edition 1 | Pages 100-107 | DOI 10.30844/I4SE.26.1.92