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    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.
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    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, Turkay
    Quality 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.
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    A novel approach based on type-2 fuzzy sets to augment technology roadmaps
    (GAZI UNIV, 2022) Barip, Semanur; Altun, Koray
    Importance 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.
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    Systematic Customer Value Analysis: A Case Study in the Automotive Industry
    (Society of Sytematic Innovation, 2021) Çakmak, Tolga; Altun, Koray
    Providing high quality with competitive prices is generally essential in the automotive industry because of the customers (directly automotive OEMs and indirectly their end-users) demanding new and costly features without showing additional willingness to pay. For this reason, accurate analysis of customer value can be very helpful for developing new concepts, and hence for correct positioning in this competitive area. Although one of the most important parts of the engine in an automobile is the clutch, there are very limited studies on its value analysis in the literature. Correspondingly, to fill this gap, this paper analyses the customer value of automotive clutch components and their functions by using a two-phase QFD methodology, and a fuzzy-logic based data-fusion methodology. While the former phase determines relative weights of the bene-fit through the House of Quality, the latter phase performs the parts (and cost) deployment to determine the costs of the clutch functions by using a reverse costing analysis incorporating the product teardown cost in-formation. Having obtained benefit, cost, and technical difficulty information, a fuzzy-logic model evaluates the competitive importance of each clutch function. This work identifies the three most important clutch functions and their related subcomponents.