نوع مقاله : مقاله پژوهشی- انگلیسی
نویسندگان
1 استادیار گروه مهندسی صنایع، دانشکده مدیریت و مهندسی صنایع، دانشگاه مالک اشتر، تهران، ایران
2 ارشد عملیات و زنجیره تامین، دانشکده مدیریت و مهندسی صنایع، دانشگاه مالک اشتر، تهران ، ایران.
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Purpose: This study explores the role of new technology in enhancing supply chain agility in Iran's midstream oil operations, with a complete framework for technology-based solution application.
Methods: Employing Strauss and Corbin’s grounded theory methodology, 17 key elements affecting supply chain agility were systematically identified and categorized. Subsequently, Interpretive Structural Modeling (ISM) and MICMAC analysis were used to map causal relationships and rank the essential factors.
Findings: Seventeen main components were grouped into causal, contextual, intervening, strategic, and outcome categories. The ISM analysis revealed a five-level hierarchical model where independent variables such as market instability and resource allocation demonstrated the highest driving power. Recommended strategies include information intelligence, supply digitalization, predictive maintenance, and enabling ecosystem development, each implemented via advanced technologies like blockchain, AI, IoT, and 3D printing.
Implications: This research provides practical guidance for oil industry managers to enhance supply chain agility through properly prioritized technology investments. It also contributes to theoretical advancement by reconceptualizing technology as a strategic imperative rather than simply an enabler, offering a structured framework that links specific technologies to particular supply chain vulnerabilities.
کلیدواژهها [English]
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