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Öğe A Mayan calendar-inspired cyclical TRIZ approach: Enhancing systematic innovation and long-term problem-solving(Society of Sytematic Innovation, 2025) Altun, KorayThis paper introduces the Mayan calendar-inspired cyclical theory of inventive problem solving (TRIZ) model, an innovative approach to systematic innovation (SI) that integrates the seven TRIZ pillars into a structured model consisting of “Tzolk’in” (short-term, adaptation), “Haab” (mid-term, harmonization), and “Long Count” (long-term, transformation) cycles. Unlike traditional linear innovation models, this cyclical model enables continuous adaptation, iterative refinement, and sustainable evolution. Each cycle addresses a different level of complexity: The adaptation cycle focuses on rapid, low-cost improvements using available resources. The harmonization cycle resolves deep-rooted contradictions to enhance system functionality. The transformation cycle drives strategic evolution by integrating intelligence and automation. This approach is validated through its alignment with trends of engineering system evolution, demonstrating that innovation naturally progresses through these phases. The model’s practical applicability is illustrated through case studies on coffee machine design and automotive seat design, showing how short-term enhancements, mid-term optimization, and long-term transformation collectively contribute to sustainable evolution. By bridging systematic problem-solving with iterative adaptation, the cyclical TRIZ model provides a versatile and scalable SI model for industries seeking to achieve both immediate efficiency gains and long-term innovation resilience. © 2025, Society of Sytematic Innovation. All rights reserved.Öğe A novel approach based on type-2 fuzzy sets to augment technology roadmaps(GAZI UNIV, 2022) Barip, Semanur; Altun, KorayImportance of RDI outputs is increasing day by day in the business world. Harmony of RDI activities and technology strategies is one of the important guarantees of sustainable success. At this stage, the first thing that comes to mind is the "technology roadmaps", which have been commonly used in order to direct RDI activities. Technology roadmaps are the tools linking technological developments and changes with other relevant layers (products, services, market, etc.), and thus they assist in decision making. To obtain a valid technology roadmap, its inter-element relationships need to be well-established. This study proposes an infographic for the relationships between technology roadmap elements. In this study, importance of the relationships and the relationship degree of element pairs are evaluated through the use of interval type-2 fuzzy systems (IT2FS). The infographic employing these evaluation results augments the technology roadmaps. In order to illustrate how the proposed process executes, a case of three-dimensional (3D) printing technologies is presented. Consequently, it is considered that these augmented technology roadmaps contribute to strategy planning and technology management, especially for large-scale cases.Öğe A novel approach to augment technology radmapping through systematic innovation intelligence: a case of UAV technologies(Society of Sytematic Innovation, 2023) Altun, Koray; Babayev, UmidTechnology roadmapping has been employed for years as an important tool for managing technology and innovation. The latest discussions in technology roadmapping go beyond the T-plan, which is the most popular roadmapping process based on a few workshops of experts. Developing data-driven approaches to modernize this roadmapping process is an active area of research. In parallel with these efforts, we explore a new unified approach in this study by integrating an innovation intelligence process into roadmapping. This systematic innovation intelligence process incorporates relevant patent and publication data, and its methodology is based on topic modeling and type-2 fuzzy sets. Through this unified approach, we provide an augmented technology roadmapping schema that involves technology trendiness infographics. This study illustrates how this approach is executed by providing a case study on unmanned aerial vehicle (UAV) technologies. © 2023, International Journal of Systematic Innovation. All Rights Reserved.Öğe A Proof-of-Concept for Parameter Manipulation in TRIZ: Automotive Case Stud(Society of Automotive Engineers Turkey, 2025) Altun, KorayThis paper provides a proof-of-concept for using the Theory of Inventive Problem Solving (TRIZ) methodologies, focusing on parameter deployment and manipulation to solve physical contradictions in automotive seat design. While parameter deployment has been explored in theory, practical applications remain limited, and its potential has not been widely demonstrated. This study addresses this gap by showing how it can resolve the conflict between comfort during normal driving and safety during collisions. Two strategies are introduced: the Transfer-Oriented Approach (TOA) uses a single air bladder system to adjust seat firmness dynamically, ensuring comfort in regular driving and firmness during crashes. The Transfer-Oriented Ap-proach with Adjustment (TOAA) extends this by combining air bladder systems for comfort and shape memory materials for safety, allowing both to work independently. These methods are innovative because they move beyond classical TRIZ principles by integrating external components, achieving dual functionality without compromising performance. This paper contributes to TRIZ literature by providing a practical example of how parameter deployment can be applied in automotive design. It also serves as a guide for engineers and researchers interest-ed in using TRIZ to tackle similar design challenges. By validating the feasibility of this approach, the study opens up possibilities for exploring its use in other areas of automotive design such as climate control systems or crash energy management. The findings highlight how systematic innovation can transform theoretical methods into real-world solutions, offering practical insights for future applications within the automotive industry. © 2025 Society of Automotive Engineers Turkey. All rights reserved.Öğe A Proof-of-Concept for Parameter Manipulation in TRIZ: Automotive Case Study(2025) Altun, KorayThis paper provides a proof-of-concept for using the Theory of Inventive Problem Solving (TRIZ) methodologies, focusing on parameter deployment and manipulation to solve physical contradictions in automotive seat design. While parameter deployment has been explored in theory, practical applications remain limited, and its potential has not been widely demonstrated. This study addresses this gap by showing how it can resolve the conflict between comfort during normal driving and safety during collisions. Two strategies are introduced: the Transfer-Oriented Approach (TOA) uses a single air bladder system to adjust seat firmness dynamically, ensuring comfort in regular driving and firmness during crashes. The Transfer-Oriented Ap-proach with Adjustment (TOAA) extends this by combining air bladder systems for comfort and shape memory materials for safety, allowing both to work independently. These methods are innovative because they move beyond classical TRIZ principles by integrating external components, achieving dual functionality without compromising performance. This paper contributes to TRIZ literature by providing a practical example of how parameter deployment can be applied in automotive design. It also serves as a guide for engineers and researchers interest-ed in using TRIZ to tackle similar design challenges. By validating the feasibility of this approach, the study opens up possibilities for exploring its use in other areas of automotive design such as climate control systems or crash energy management. The findings highlight how systematic innovation can transform theoretical methods into real-world solutions, offering practical insights for future applications within the automotive industry.Öğe A systematic approach to corporate innovation excellence(Society of Sytematic Innovation, 2025) Altun, KorayWhile international standards on innovation management have gained interest, “excellence” in innovation management has not been thoroughly studied in the literature. To address this gap, this study proposes the “Innovation Excellence Model” for corporate innovation. This approach aims to provide a concise way of excellence in corporate innovation system design. This model focuses on three important components of the system: innovation execution system, innovation organization, and innovation engine. This model is based on three different innovation engines (idea-driven, analysis-driven, and research-driven) and proposes a card-based control system to balance workload and project flows. The integration of card-based control and its simulated case provides a tangible and effective means of translating theoretical concepts into practical execution. A novel key performance indicator, “CIP – Corporate Innovation Performance” is also introduced for monitoring the excellence degree. By fostering a holistic understanding of excellence in corporate innovation, the model enables organizations to navigate the design of innovation management system, propelling them toward excellence and growth. © (2024), (Society of Sytematic Innovation). All Rights Reserved.Öğe An interaction-oriented multi-agent sir model to assess the spread of sars-cov-2(Hacettepe University, 2021) Altun, Koray; Altuntas S.; Dereli T.It is important to recognize that the dynamics of each country are different. There-fore, the SARS-CoV-2 (COVID-19) pandemic necessitates each country to act locally, but keep thinking globally. Governments have a responsibility to manage their limited resources optimally while struggling with this pandemic. Managing the trade-offs re-garding these dynamics requires some sophisticated models. “Agent-based simulation” is a powerful tool to create such kind of models. Correspondingly, this study addresses the spread of COVID-19 employing an interaction-oriented multi-agent SIR (Susceptible-Infected-Recovered) model. This model is based on the scale-free networks (incorporat-ing 10, 000 nodes) and it runs some experimental scenarios to analyze the main effects and the interactions of “average-node-degree”, “initial-outbreak-size”, “spread-chance”, “recovery-chance”, and “gain-resistance” factors on “average-duration (of the pandemic last)”, “average-percentage of infected”, “maximum-percentage of infected”, and “the expected peak-time”. Obtained results from this work can assist determining the correct tactical responses of partial lockdown.Öğe Automotive Front Seat Design Trade-Offs: An OTSM-TRIZ-Based Approach(Otomotiv Mühendisleri Derneği, 2025) Altun, KorayAutomotive seat design involves multiple and often conflicting requirements, including comfort, durability, safety, ergonomics, and climate control, which must be addressed simultaneously within a constrained design space. Conventional optimization and trade-off–based methods typically resolve these conflicts through compromise, leading to locally optimal solutions that limit inventive improvement and long-term adaptability. To overcome these limitations, this study proposes an inventive negotiation approach that integrates OTSM-TRIZ (“????? ?????? ???????? ????????” – General Theory of Powerful Thinking) with a structured multi-issue negotiation process. Rather than balancing requirements through direct trade-offs, the proposed workflow systematically maps contradictions, classifies design, need, and intermediary parameters, and supports the negotiation of inventive design choices. The approach is demonstrated through an automotive front-seat design case study, in which three alternative inventive concepts (composite materials, air bladder systems, and shape-memory materials) are evaluated. Each concept is analyzed with respect to its functional benefits, implementation challenges, and compatibility with long-term technology evolution trends. The results indicate that composite-based solutions currently offer the most feasible balance between comfort, durability, and manufacturability, while air bladder and shape-memory systems represent promising but less mature future-oriented options. The analysis further shows that hybrid configurations combining these concepts can move seat design closer to the Ideal Final Result (IFR). The main contribution of this study lies in demonstrating how OTSM-TRIZ and multi-issue negotiation can be jointly employed to manage both first-order and second-order contradictions, while explicitly linking design decisions to Trends of Engineering System Evolution. This integration provides a systematic and forward-looking framework for inventive decision-making in automotive engineering.Öğe Contradiction-oriented exploration: A dual-track methodology combining OTSM-TRIZ and the Six-Box Scheme(Society of Sytematic Innovation, 2025) Altun, KorayComplex problems do not just ask for better answers; they ask for better ways of thinking. Accordingly, complex socio-technical design problems require integrated approaches that simultaneously address technical contradictions and human-centered processes. This study introduces contradiction-oriented exploration (COREX), a dual-track methodology designed to solve complex design problems involving both technical systems and human behavior. This approach combines two powerful tools: (i) The General Theory of Powerful Thinking-Theory of Inventive Problem Solving, which focuses on identifying and resolving system-level contradictions; and (ii) The Six-Box Scheme, which provides a user-centered, process-based framework for creative problem solving. By linking contradiction analysis with recursive exploration and real-world testing, this approach helps teams move from unclear user needs to structured innovations. The method was applied in a research and development setting focused on adaptive seat design. Participants followed a procedure that included problem modeling, contradiction identification, and inventive solution development. Results showed that COREX helped teams address design trade-offs more effectively than when using either method alone. The feedback cycles allowed for continuous improvement and system refinement. Overall, the methodology offers practical value for design teams working in emerging socio-technical domains by supporting both analytical thinking and creative ideation in an integrated process. © 2025, Society of Sytematic Innovation. All rights reserved.Öğe Cyclical TRIZ for brushless direct current motor evolution: From short-term adjustments to long-term transformation(Society of Sytematic Innovation, 2025) Ilhan, Merve Yildiz; Altun, KorayAs engineering systems accumulate increasing layers of functional, structural, and behavioral complexity, the ability to guide their evolution with coherent, theory-driven frameworks has become essential. This paper presents a cyclical theory of inventive problem solving (TRIZ)-based roadmap for the evolution of brushless direct current (BLDC) motors, guiding development from short-term corrective actions to long-term transformative strategies. The approach structures action into three coupled cycles that respectively prioritize rapid technical remedies, system-level contradiction resolution, and strategic system transition, enabling engineers to align interventions with the maturity and scope of each design challenge. It fuses core TRIZ instruments with the trends of engineering system evolution to couple contradiction handling with forward trajectories of system ideality. Applied to automotive BLDC applications, the method organizes recurrent issues such as acoustic anomalies, modal coupling, thermal stress, and control-layout interactions into an actionable roadmap that scales from quick design adjustments to modular, artificial intelligence-enabled capabilities. Experimental validation confirms the method’s practical impact: acoustic noise in the H24 configuration decreased by approximately 13%, modal vibration in the H8 case reduced by nearly 28%, and rotational imbalance amplitude in the rotor-yoke assembly dropped by around 55% after structural and dynamic optimization. The resulting framework is both prescriptive and extensible, guiding short-term fixes without foreclosing mid-term harmonization or long-term transformation, and generalizes to electromechanical product families that must balance cost, noise, durability, and intelligence under evolving requirements. © 2025, Society of Sytematic Innovation. All rights reserved.Öğe Developing an RPA for Augmenting Sheet-Metal Die Design Process(Springer Science and Business Media Deutschland GmbH, 2024) Bintas, Gul Cicek Zengin; Ozturk, Harun; Altun, KorayThe mass production of identical products with high precision and accuracy heavily relies on dies and molds. In particular, the project-based die manufacturing process is crucial for introducing new products to the market. To produce a car body, an average of 1000–1250 unique dies are required, with no backups available. Simultaneously commissioning these dies is one of the most expensive and critical processes in automotive and other forming industries. However, with increasing technology and customer expectations, designers must design products quickly and efficiently to beat competitors to the market. Traditional production planning software is not well-suited for project-based work, such as die manufacturing, and often results in increased project duration due to a lack of integration and variability. To address this issue, this study proposes the use of Robotic Process Automation (RPA) with artificial intelligence methods to enable automatic data transfer from design to production. The findings of this study provide recommendations for efficient project management in the single manufacturing industry. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.Öğe Early prediction of fabric quality using machine learning to reduce rework in manufacturing processes(Ramazan Yaman, 2024) Aydin, Sema; Altun, KorayThe increasing competition and rapid technological advancements in today's business world have raised customer expectations. People now expect quick delivery, low prices, and high-quality products. As a result, companies must adapt to this competitive environment to survive. Rework, which is a significant cost in production, increases expenses, reduces production efficiency, and can lead to customer attrition. Research shows various efforts across different sectors to reduce rework, although there is still a gap in the textile sector's fabric dyeing units. Common problems in these units include non-retentive colors, customer dissatisfaction with shades, and repeated dyeing due to environmental factors or dye vat issues. This study uses logistic regression and artificial neural networks models from machine learning to predict which fabrics will need rework, using data from a textile company in Bursa. The analysis indicates that artificial neural networks models perform better.Öğe Early prediction of fabric quality using machine learning to reduce rework in manufacturing processes(2024) Aydın, Sema; Altun, KorayThe increasing competition and rapid technological advancements in today's business world have raised customer expectations. People now expect quick delivery, low prices, and high-quality products. As a result, companies must adapt to this competitive environment to survive. Rework, which is a significant cost in production, increases expenses, reduces production efficiency, and can lead to customer attrition. Research shows various efforts across different sectors to reduce rework, although there is still a gap in the textile sector's fabric dyeing units. Common problems in these units include non-retentive colors, customer dissatisfaction with shades, and repeated dyeing due to environmental factors or dye vat issues. This study uses logistic regression and artificial neural networks models from machine learning to predict which fabrics will need rework, using data from a textile company in Bursa. The analysis indicates that artificial neural networks models perform better.Öğe Early prediction of fabric quality using machine learning to reduce rework in manufacturing processes(2024) Aydın, Sema; Altun, KorayThe increasing competition and rapid technological advancements in today's business world have raised customer expectations. People now expect quick delivery, low prices, and high-quality products. As a result, companies must adapt to this competitive environment to survive. Rework, which is a significant cost in production, increases expenses, reduces production efficiency, and can lead to customer attrition. Research shows various efforts across different sectors to reduce rework, although there is still a gap in the textile sector's fabric dyeing units. Common problems in these units include non-retentive colors, customer dissatisfaction with shades, and repeated dyeing due to environmental factors or dye vat issues. This study uses logistic regression and artificial neural networks models from machine learning to predict which fabrics will need rework, using data from a textile company in Bursa. The analysis indicates that artificial neural networks models perform better.Öğe Front seat development for autonomous driving: A case of innovative product development(Gazi Üniversitesi, 2022) Altun, Koray; Berber, Reyhan Özcan; Kurt, Recep; Bektaş, Enes; Turan, Sertan; Korkmaz, VarolAutomotive trends and the strategies of automotive OEMs (Original Equipment Manufacturers) indicate that advanced and fully autonomous vehicles will appear in the market soon. In parallel with these progresses, customers’ needs and expectations for automotive parts will evolve accordingly. Particularly, since the seat is in physical contact with the user, it requires major improvements by employing novel functions to meet these evolved needs and expectations. This study addresses these novel front seat functions and provides a real case of development of an innovative front seat for autonomous driving. In this study, initially, new design ideas were generated regarding the front seats to meet changing customer needs. Generated ideas were evaluated through the QFD methodology. And, in line with these selected ideas, the style design, CAD design, and finite element analysis and testing activities were carried out. As a result of this study, an innovative front seat for autonomous driving has been developed, by taking the evolved customer expectations into account, and by verifying the design through finite element analysis and tests. Consequently, evolving customer needs for front seat by autonomous driving are assessed and a real innovative product development case is presented in this study. Future work can address other relevant interior parts of the automotive as to be appropriate for autonomous driving.Öğe Innovative solutions for convolutional neural network performance: A TRIZ-based reverse engineering approach(Society of Sytematic Innovation, 2025) Cosgun, Merve; Altun, KorayConvolutional neural networks (CNNs) are widely used in computer vision for tasks like image classification and detection. These models work well when the number of image classes is small, but as the number of classes increases, accuracy tends to drop due to overfitting. There are several methods to address this issue, such as data augmentation, preprocessing, class weighting, transfer learning, and adjusting technical parameters. This study introduces a novel approach utilizing the theory of inventive problem-solving (TRIZ) methodology to systematically analyze and enhance these existing methods. Using reverse engineering, we deconstructed current solutions and aligned them with TRIZ principles to propose more innovative and effective approaches for improving CNN performance. The results show that TRIZ provides a structured and creative framework for solving accuracy decline issues in CNN models, offering the potential for broader applications in other machine learning architectures. © 2025, Society of Sytematic Innovation. All rights reserved.Öğe Inventive Multi-Issue Negotiation: A TRIZ-Aided Behavioral Approach with the Wolf Game and Modified Even-Swaps(Springer, 2025) Altun, KorayNegotiation in complex multi-issue scenarios requires a structured and adaptive approach that balances conflicting priorities while incorporating behavioral dynamics. Traditional decision-making models often assume that predefined alternatives are available, which does not reflect real-world negotiation complexities. This study introduces the Wolf Game Negotiation Model (WGNM), an inventive negotiation framework that integrates TRIZ-based inventive principles (IPs) with behavioral adaptation strategies. WGNM constructs negotiation pathways dynamically by leveraging psychological positioning (IP13), segmentation (IP1) resource utilization (IP25), and tactical adaptation (IP21) to refine decision alternatives in real-time. Unlike static compromise-based models, WGNM enables iterative trade-off adjustments, allowing negotiators to systematically manage concessions while maintaining strategic control. The study also examines the integration of Modified Even-Swaps Mechanism (MESM) with WGNM, demonstrating their complementary strengths in decision structuring and adaptive negotiation. A case study in the injection molding industry illustrates how WGNM enhances negotiation efficiency by bridging the gap between decision support methodologies and behavioral negotiation models. The findings highlight the importance of inventive problem-solving in dynamic negotiations, leading to superior outcomes in cost, efficiency, and long-term strategic collaboration.Öğe Konu Modelleme ile Çalışan Önerileri Madenciliği: Bir Otomotiv Endüstrisi Vakası(2023) Bozan, Mine; Altun, KorayOtomotiv endüstrisindeki yoğun rekabet, sürekli iyileştirme kültürünü zorunlu hale getirmektedir. Çalışan önerileri ve öneri sistemleri bu kültürün önemli bileşenleridir. Öneri sistemlerinin içeriğinin metinlerden oluşması, onları ileri metin madenciliği çalışmaları için uygun veri setleri haline getirmiştir. Çalışan önerilerinin konu modelleme ile analiz edilmesi, en çok hangi konularda öneriler geldiğini, hangi konulara yoğunlaşılması gerektiğini ve gelecekteki iyileştirmelerle ilgili tahminler yapabilmeyi olanaklı hale getirebilecektir. Bu çalışmada, bir otomotiv firmasının çalışan önerilerinin analizi için, konu modellemeye ait yöntemlerden, “Gizli Dirichlet Ayrımı (GDA)” kullanılmıştır. En çok verilen öneri çeşidi, “getirisi olmayan olumlu” önerilerdir. Bu öneriler, genellikle iş sağlığı ve güvenliği ile ilgilidir. İkinci sıradaki en çok verilen öneriler ise “öneri”, firmaya kazanç sağlayan önerilerdir. Üçüncü sırada, “öneriden hızlı kaizene” yani kısa sürede sonuç alınabilen, getirisi yüksek öneriler bulunmaktadır. Dördüncü sırada, “değerlendirilmek üzere havale” edilen öneriler bulunurken, en az verilen öneri türünün ise “devreye alınmayacak öneriler” olduğu değerlendirilmiştir.Öğe Linguistic Su-Field engineering: Turkish sentence patterns and TRIZ standard solutions for semantic repair(Emerald Group Publishing Ltd, 2026) Altun, KorayPurposeThis study introduces Linguistic Su-Field Engineering, a TRIZ-based approach for diagnosing and repairing semantic inconsistencies in Turkish sentences. By applying Su-Field logic to natural language, the study proposes a functional bridge between engineering problem solving and linguistic clarity enhancement.Design/methodology/approachTurkish sentences were modeled as functional systems composed of subject (S1), action (F) and object (S2), reflecting Su-Field structures rather than Turkish SOV syntax. Thirty-five linguistic Su-Field patterns were derived from common ambiguity types and paired with relevant TRIZ Standard Solutions. A quasi-experimental study with 20 non-native learners compared comprehension of original versus TRIZ-repaired text passages. Improvements were evaluated using the Wilcoxon signed-rank test.FindingsTRIZ-repaired sentences yielded statistically significant gains in comprehension and perceived clarity. Learners reported that the explicit functional roles and clarified interactions reduced cognitive load and improved interpretability. The results indicate that TRIZ-based semantic repair enhances sentence-level coherence and instructional usefulness.Research limitations/implicationsAlthough evaluated on Turkish, the method is applicable to other morphologically rich and structurally flexible languages, providing a conceptual foundation for future rule-based and interpretable NLP tools.Originality/valueTo the best of the authors knowledge, the study is the first to integrate Su-Field logic into natural language systems, offering a transparent and interpretable mechanism for semantic repair. It extends TRIZ beyond engineering applications toward linguistic analysis and explainable NLP.Öğe Multi-issue negotiation in quality function deployment: Modified Even-Swaps in new product development(Pergamon-Elsevier Science Ltd, 2016) Altun, Koray; von Zedtwitz, Max; Dereli, TurkayQuality function deployment (QFD) is one of the most powerful methodologies in new product development (NPD) because of its systematic support of knowledge creation and sharing. However, greater product complexity, increasing dynamic customer requirements and further decentralization of innovation teams undermine applicability of QFD in modern NPD. Modifying QFD methodology with a multi-issue negotiation mechanism promises to overcome these obstacles because this negotiation-based structure (i) enables QFD to define a large number of interdependent decision parameters while handling complicated design trade-offs, (ii) includes changing customer requirements in real-time rather than a cycle time determined by length of the product development process, (iii) allows decentralized NPD teams to negotiate with each other and customers concurrently. This study presents a multi-issue negotiation based QFD methodology by using a recently developed mechanism for multi-issue negotiation (namely, Modified Even-Swaps) and illustrates strengths and weaknesses along with practical insights with a case study of the development of a washing machine. The QFD methodology proposed in this study provides new options to assess new product alternatives by allowing customer co-creation which is essential in complex and often tacit-knowledge dependent comparisons and also intrinsically helpful for fine-tuning dynamically evolving customer requirements. Moreover, it supports competition-based interactions of decentralized NPD teams. (C) 2015 Elsevier Ltd. All rights reserved.
