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<Journal>
				<PublisherName>دانشگاه اصفهان</PublisherName>
				<JournalTitle>پژوهش در مدیریت تولید و عملیات</JournalTitle>
				<Issn>2981-0329</Issn>
				<Volume>16</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2025</Year>
					<Month>06</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Sustainable Multi-Objective Mathematical Modeling for Selecting a Technology Transfer Method in the Automotive Battery Industry</ArticleTitle>
<VernacularTitle>مدل‎‍سازی ریاضی چندهدفه برای انتخاب شیوۀ انتقال تکنولوژی در صنعت باتری‌سازی خودرو</VernacularTitle>
			<FirstPage>51</FirstPage>
			<LastPage>72</LastPage>
			<ELocationID EIdType="pii">29435</ELocationID>
			
<ELocationID EIdType="doi">10.22108/pom.2025.144012.1602</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>امیرحسین</FirstName>
					<LastName>لطیفیان</LastName>
<Affiliation>دکتری گروه مدیریت انتقال تکنولوژی، واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران</Affiliation>

</Author>
<Author>
					<FirstName>رضا</FirstName>
					<LastName>توکلی مقدم</LastName>
<Affiliation>استاد دانشکده مهندسی صنایع، دانشکدگان فنی، دانشگاه تهران، تهران، ایران</Affiliation>

</Author>
<Author>
					<FirstName>مسعود</FirstName>
					<LastName>لطیفیان</LastName>
<Affiliation>دکتری گروه مدیریت تکنولوژی، واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران</Affiliation>

</Author>
<Author>
					<FirstName>مهدی</FirstName>
					<LastName>کاشانی</LastName>
<Affiliation>کارشناس ارشد گروه مدیریت صنعتی، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>01</Month>
					<Day>22</Day>
				</PubDate>
			</History>
		<Abstract>&lt;strong&gt;Purpose: &lt;/strong&gt;In today&#039;s world, characterized by scientific advancements and the complexity of technological processes, collaboration has become a crucial aspect of organizational strategy and public policies for technology development. Success in the modern era hinges on technology. Technology transfer is a domain that applies technology management, necessitating both comprehensiveness and foresight. This study introduces a novel sustainable multi-objective model for selecting the technology transfer method in car battery manufacturing.&lt;strong&gt;  &lt;/strong&gt;
&lt;strong&gt;Design/methodology/approach: &lt;/strong&gt;This study is primarily practical, as it focuses on implementing the model within a specific industry. Regarding research methods, it employs survey and descriptive research techniques. However, due to its typology and inherent nature, this research is classified as hybrid, utilizing a range of suitable qualitative approaches. The initial step involves calculating the importance coefficient of technology transfer methods in the automotive battery sector using the ordinal priority approach, gathering experts’ opinions through a survey. Subsequently, the appropriate technology transfer method is identified using a multi-objective mathematical model.
&lt;strong&gt;Findings: &lt;/strong&gt;According to the results, joint venture approaches, direct foreign investment, and co-research and development have demonstrated superior performance compared to other evaluation criteria. The findings indicate that joint ventures should be prioritized for companies aiming to develop and compete in the global market. This approach enables companies to enhance their operations, modernize production strategies, boost productivity, and expand production capacity through the direct and ongoing support of larger firms. Consequently, a foundation for increasing capacity and production rates will be established. The low ranking of training methods is another significant finding. It suggests that experts believe training methods will not positively impact the company&#039;s competitive position or production capacity, in addition to requiring substantial time investment. The effectiveness of strategies such as training, hiring, and resource exchange remains uncertain. Finally, to reduce fixed costs, risks, and potential job losses associated with the transfer of new technology, a multi-objective optimization model utilizing the meta-heuristic algorithms SPEA II and AECM, which was effectively implemented in eight automotive battery manufacturers, is proposed.
&lt;strong&gt;Research limitations/implications: &lt;/strong&gt;Technology transfer is one of the most fundamental issues in technology, and its implementation significantly impacts the processes, cycles of technology and innovation, and wealth creation in developing countries. This intricate process can become a challenge without adequate knowledge. Therefore, technology must either be transferred or created, which entails high costs and extended timeframes that are complicated by the rapid pace of technological advancement. The adaptability, effectiveness, and development of technology for acquiring technical knowledge are critical factors in the technology transfer process. The current research lays the groundwork for identifying the appropriate technology transfer method in the car battery industry, providing substantial assistance to companies in updating technology, enhancing diversity and production capabilities, and competing effectively with both domestic and foreign competitors.
&lt;strong&gt;Practical implications: &lt;/strong&gt;Developing countries can draw valuable lessons in technological and industrial development from the successful experiences of certain industrialized and recently industrialized nations, particularly those in East Asia and Latin America. Based on these successful experiences, the broad acquisition and transfer of appropriate modern technologies into these countries would enhance their productivity and lead to rapid industrial development.
&lt;strong&gt;Originality/value: &lt;/strong&gt;This research evaluates technology transfer methods in the automotive battery industry under conditions of uncertainty using a multi-objective optimization model. The objectives include minimizing the fixed costs of technology transfer, the risks associated with technology transfer, and the number of jobs lost due to technology transfer. The application of the meta-innovative solution distinguishes this study from other research conducted in the field.</Abstract>
			<OtherAbstract Language="FA">موفقیت در جهان امروز، به استفاده از تکنولوژی وابسته است. یکی از زمینه‌های اعمال مدیریت تکنولوژی، که مستلزم این جامع‌نگری و دورنگری است، انتقال تکنولوژی است. با توجه به اینکه بیشترین سهم تجارت فناوری جهان در دست شرکت‌های چندملیتی کشورهای صنعتی است، بنابراین موضوع انتقال تکنولوژی در زمرۀ یکی از پراهمیت‌ترین و مشکل‌ترین تصمیمات اقتصادی محسوب می‌شود؛&lt;em&gt; &lt;/em&gt;از&lt;em&gt; &lt;/em&gt;این ‌رو در این تحقیق، یک مدل جدید چندهدفه برای انتخاب شیوۀ انتقال تکنولوژی در صنعت باتری‌سازی خودرو پیشنهاد شده است. ابتدا شیوه‌های انتقال تکنولوژی، با استفاده از روش اولویت ترتیبی وزن­دهی ‌و سپس از­طریق ارائۀ یک مدل برنامه‌ریزی ریاضی چندهدفه، شیوه‌های بهینۀ انتقال تکنولوژی برای هر یک از کارخانه‌ها مشخص ‎‍شد. مدل پیشنهادی نیز با استفاده از روش اپسیلون-محدودیت تکامل‌یافته و نسخۀ دوم الگوریتم تکاملی مبتنی بر قوت پارتو (&lt;em&gt;SPEA-II&lt;/em&gt;) حل شد. نتایج حاصل­شده نشان می­دهد روش&lt;em&gt;‌&lt;/em&gt;های سرمایه‌گذاری مشترک، تحقیق و توسعۀ مشترک و سرمایه‌گذاری مستقیم خارجی، از عملکرد بهتری نسبت­به دیگر روش‎‍های انتقال تکنولوژی در صنعت باتری برخوردارند.</OtherAbstract>
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