راهکارهای مدیریت بهره‌وری در انرژی زنجیره تأمین دفاعی مبتنی بر دستاوردهای صنعت 4.0

منابع

الف- فارسی

• استخریان حقیقی، امیررضا؛ شکراللهی، زینب؛ و سواری، علی (1400). مدیریت زنجیره تأمین نظامی و مؤلفه‌های اساسی آن»، هشتمین همایش ملی مطالعات و تحقیقات نوین در حوزه علوم انسانی، مدیریت و کارآفرینی ایران. تهران: موسسه آموزش عالی آل طه و مرکز بین المللی همایشها و سمینارهای توسعه پایدار علوم جهان اسلام.
• دفتر برنامه‌ریزی و اقتصاد کلان برق و انرژی (1399). ترازنامه انرژی، قابل دسترسی در: http://pep.moe.gov.ir.
• سازمان ‌ملی  ‌بهره‌و‌ری ‌ایران (1402). «بهره‌وری و حکمرانی منطقه‌ای»، قابل دسترسی در:  https://www.npo.gov.ir/productivity-journal.
• کریمی زارچی، محمد؛ معبودی، حامد؛ فتحی، محمدرضا؛ و خسروی، ابوالفضل (1399). «ارائه مدل زنجیره تأمین دفاعی تاب‌آور با رویکرد مدل‌سازی ساختاری-تفسیری (مورد مطالعه صندوق حمایت از فناوری)»، بهبود مدیریت، 14 (2)، 67-91.
• روحانی، علی‌اصغر؛ محمدآبادی، رضوان (1401). «بررسی کاربرد هوش مصنوعی در زنجیره تأمین نفت و گاز»، مجله فرایند نو، 17 (79)، 57-73.
• قراچورلو، نجف؛ قهرمانی‌نهر، جاوید (1401). «تعیین شاخص‌های بهره‌وری منابع انسانی در سازمان‌های علمی و فناورانه»، نشریه مدیریت بهره‌وری، 16(61)، 217-241.
• سعادتی، مجتبی؛ خراشادی‌زاده، محمدرضا؛ عین‌القضاتی، علیرضا؛ آگند، فریما؛ و سلطانی، علی‌ولی (1398). «شناخت مقوله انرژی در حوزه نظامی از منظر به‌کارگیری قابلیت‌های فناوری نانو»، مطالعات دفاعی استراتژیک، 17 (77)، 275-294.
• پارسا، علی؛ خادم، سید حسین؛ رضایی، حمیدرضا؛ و محمودزاده، ابراهیم (1402). «بررسی الزامات زنجیره تأمین دفاعی تاب‌آور با تأکید بر فناوری‌های نوظهور صنعت 4»، فصلنامه آماد و فناوری دفاعی، 6(4)، 11-40.
• گیگلو، شهرام؛ ناظمی اردکانی، مهدی (1401). «شناسایی مؤلفه‌های توسعه آینده‌پژوهی در نظام آموزش عالی کشور با رویکرد فراترکیب»، مطالعات مدیریت راهبردی دفاع ملی، 6 (24)، 33-60.
• رجب‌پور، ابراهیم؛ اردکانی، مهدی (1399). «رابطه بین مدیریت منابع انسانی سبز و زنجیره تأمین سبز»، نشریه مطالعات راهبردی در صنعت نفت و انرژی، 11 (44)، 317-342.
• آجیرلو، محمد؛ غفارلو، اکبر (1400). «بررسی قابلیت‌های مدیریت لجستیک نیروهای مسلح ج.ا.ایران در کاهش آسیب‌ها در بحران‌های طبیعی»، فصلنامه راهبرد دفاعی، 20 (77)، 73-98.
• فلاح، محمد؛ نوذری، حامد (1400). «بررسی کمی ریسک‌های سایبری در زنجیره تأمین مبتنی بر اینترنت اشیاء (صنایع FMCG)»، نشریه تصمیم‌گیری و تحقیق در عملیات، 5(4)، 510-521.
• موحدی‌صفت، محمدرضا؛ سپهری، محمد؛ هلیلی، خداداد؛ و فرزانه، عادل (1402). «الگوی دفاع هوشمند مبتنی بر فناوری اینترنت اشیاء»، مطالعات دفاعی استراتژیک، 21 (92)، 69-92.
• موحدی‌صفت، محمدرضا (1401). «ارتقا امنیت در زنجیره تأمین دفاعی با به‌کارگیری فناوری زنجیره بلوکی»، فصلنامه آماد و فناوری دفاعی، 5 (4)، 75-106.
• کریمی، حسین؛ جمشیدی، محمدجواد؛ و بخشم، میلاد (1402). «شناسایی مؤلفه‌ها و شاخص‌های پیشران در مدیریت زنجیره تأمین سبز مبتنی بر اینترنت اشیاء»، فصلنامه مطالعات مدیریت صنعتی، 21 (69)، 129-160.

ب- انگلیسی

• Fatorachian, H., Kazemi, H (2021).“Impact of Industry 4.0 on supply chain performance”, Production Planning & Control, 32 (1), 63-81.
• Chai, Y., Hu, H. (2008). “Military supply chain management strategies under demand disruption”, IEEE International Conference on Automation and Logistics.
• Abdirad, M., Krishnan, K. (2021). “Industry 4.0 in logistics and supply chain management: a systematic literature review”, Engineering Management Journal, 33 (3), 187-201.
• Huan, S. H., Sheoran, S. K., & Wang, G. (2004). “A review and analysis of supply chain operations reference (SCOR) model”, Supply chain management: An international Journal, 9 (1), 23-29.
• Hasan, M., Lu, M. (2024). “Enhanced model tree for quantifying output variances due to random data sampling: Productivity prediction applications”, Automation in Construction, 158, 105218.
• Marchi, B., Zanoni, S. (2017). “Supply chain management for improved energy efficiency: Review and opportunities”, Energies, 10 (10), 1618.
• Sandelowski, M., Barroso, J. (2006). Handbook for synthesizing qualitative research, springer publishing company.
• Singh, P., Elmi, Z., Meriga, V. K., Pasha, J., & Dulebenets, M. A. (2022). “Internet of Things for sustainable railway transportation: Past, present, and future”, Cleaner Logistics and Supply Chain, 4, 100065.
• Sallam, K., Mohamed, M., & Mohamed, A. W. (2023). Internet of Things (IoT) in supply chain management: challenges, opportunities, and best practices.
• Gui-e, S., Jian-Guo, S. (2020). “Artificial Intelligence-Based Optimal Control Method for Energy Saving in Food Supply Chain Logistics Transportation”, 2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI).
• Szczepaniuk, H., Szczepaniuk, E. K. (2022). “Applications of Artificial Intelligence Algorithms in the Energy Sector”, Energies, 16(1), 347.
• Soori, M., Arezoo, B., & Dastres, R. (2023). “Internet of things for smart factories in industry 4.0, a review”, Internet of Things and Cyber-Physical Systems.
• Souhankar, A., Mortezaee, A., & Hafezi, R. (2023). “Potentials for energy-saving and efficiency capacities in Iran: An interpretive structural model to prioritize future national policies”, Energy, 262, 125500.
• Maheshwari, P., Kamble, S., Belhadi, A., Venkatesh, M., & Abedin, M. Z. (2023). “Digital twin-driven real-time planning, monitoring, and controlling in food supply chains”, Technological Forecasting and Social Change, 195, 122799.
• Shao, X., Zhang, Z., Song, P., Feng, Y., & Wang, X. (2022). “A review of energy efficiency evaluation metrics for data centers”, Energy and Buildings, 112308.
• Matthess, M., Kunkel, S., Dachrodt, M. F., & Beier, G. (2023). “The impact of digitalization on energy intensity in manufacturing sectors–A panel data analysis for Europe”, Journal of Cleaner Production, 397, 136598.
• Pal, K. (2023). “Internet of Things Impact on Supply Chain Management”, Procedia Computer Science, 220, 478-485.
• Bhagwan, N., & Evans, M. (2023). “A review of industry 4.0 technologies used in the production of energy in China, Germany, and South Africa”, Renewable and Sustainable Energy Reviews, 173, 113075.
• Gupta, S., Modgil, S., Choi, T.-M., Kumar, A., & Antony, J. (2023). “Influences of artificial intelligence and blockchain technology on financial resilience of supply chains”, International Journal of Production Economics, 261, 108868.
• Özköse, H., & Güney, G. (2023). “The effects of industry 4.0 on productivity: A scientific mapping study”, Technology in Society, 75, 102368.
• Alenizi, F. A., Abbasi, S., Mohammed, A. H., & Rahmani, A. M. (2023). “The artificial intelligence technologies in Industry 4.0: A taxonomy, approaches, and future directions”, Computers & Industrial Engineering, 109662.
• Javaid, M., Haleem, A., Singh, R. P., & Suman, R. (2023). “An integrated outlook of Cyber–Physical Systems for Industry 4.0: Topical practices, architecture, and applications”, Green Technologies and Sustainability, 1(1), 100001.
• Le, T. V., & Fan, R. (2023). “Digital twins for logistics and supply chain systems: Literature review, conceptual framework, research potential, and practical challenges”, Computers & Industrial Engineering, 109768.
• Kumar, D., Singh, R. K., Mishra, R., & Daim, T. U. (2023). “Roadmap for integrating blockchain with Internet of Things (IoT) for sustainable and secured operations in logistics and supply chains: Decision making framework with case illustration”, Technological Forecasting and Social Change, 196, 122837.
• Tan, W. C., Sidhu, M. S. (2022). “Review of RFID and IoT integration in supply chain management”, Operations Research Perspectives, 9, 100229.
• Zhu, Y., Cheng, J., Liu, Z., Cheng, Q., Zou, X., Xu, H., Wang, Y., & Tao, F. (2023). “Production logistics digital twins: Research profiling, application, challenges and opportunities”, Robotics and Computer-Integrated Manufacturing, 84, 102592.
• Omolara, A. E., Alabdulatif, A., Abiodun, O. I., Alawida, M., Alabdulatif, A., & Arshad, H. (2022). “The internet of things security: A survey encompassing unexplored areas and new insights”, Computers & Security, 112, 102494.
• Merabet, G. H., Essaaidi, M., Haddou, M. B., Qolomany, B., Qadir, J., Anan, M., Al-Fuqaha, A., Abid, M. R., & Benhaddou, D. (2021). “Intelligent building control systems for thermal comfort and energy-efficiency: A systematic review of artificial intelligence-assisted techniques”, Renewable and Sustainable Energy Reviews, 144, 110969.
• Liu, X., Jiang, D., Tao, B., Xiang, F., Jiang, G., Sun, Y., Kong, J., & Li, G. (2023). “A systematic review of digital twin about physical entities, virtual models, twin data, and applications”, Advanced Engineering Informatics, 55, 101876.
• Rizi, M. H. P., & Seno, S. A. H. (2022). “A systematic review of technologies and solutions to improve security and privacy protection of citizens in the smart city”, Internet of Things, 20, 100584.
• Kassa, A., Kitaw, D., Stache, U., Beshah, B., & Degefu, G. (2023). “Artificial intelligence techniques for enhancing supply chain resilience: A systematic literature review, holistic framework, and future research”, Computers & Industrial Engineering, 109714.
• Han, L., Hou, H., Bi, Z., Yang, J., & Zheng, X. (2021). Functional requirements and supply chain digitalization in industry 4.0”, Information Systems Frontiers, 1-13.
• Murgod, T. R., Sundaram, S. M., Mahanthesha, U., & Murugesan, P. (2023). “A Survey of Digital Twin for Industry 4.0: Benefits, Challenges and Opportunities”, SN Computer Science, 5(1), 76.
• Gerami, M., Sarihi, S. (2020). “The impacts of Internet of Things (IOT) in supply chain management”, Journal of Management and Accounting Studies, 8(3), 31-37.
• Hofmann, E., & Rüsch, M. (2017). “Industry 4.0 and the current status as well as future prospects on logistics”, Computers in industry, 89, 23-34.
• Attaran, S., Attaran, M., & Celik, B. G. (2024). “Digital Twins and Industrial Internet of Things: Uncovering operational intelligence in industry 4.0”, Decision Analytics Journal, 10, 100398.
• Carlo, A., Mantı, N. P., WAM, B. A. S., Casamassima, F., Boschetti, N., Breda, P., & Rahloff, T. (2023). “The importance of cybersecurity frameworks to regulate emergent AI technologies for space applications”, Journal of Space Safety Engineering, 10(4), 474-482.
• Sadeghi-Niaraki, A. (2023).” Internet of Thing (IoT) review of review: Bibliometric overview since its foundation”, Future Generation Computer Systems.
• Nirmal, D. D., Nageswara Reddy, K., Sohal, A. S., & Kumari, M. (2023). “Development of a framework for adopting Industry 4.0 integrated sustainable supply chain practices: ISM–MICMAC approach”, Annals of Operations Research, 1-69.
• Yang, Z., Wang, Q., & Jia, M. (2023). “Integrating Industry 4.0 and the Internet of Things (IoT) for eco-friendly manufacturing”, The International Journal of Advanced Manufacturing Technology, 1-10.
• Nag, A., Hassan, M. M., Das, A., Sinha, A., Chand, N., Kar, A., Sharma, V., & Alkhayyat, A. (2022). “Exploring the applications and security threats of Internet of Thing in the cloud computing paradigm: A comprehensive study on the cloud of things”, Transactions on Emerging Telecommunications Technologies, e4897.
• Liu, J., Qian, Y., Yang, Y., & Yang, Z. (2022). “Can artificial intelligence improve the energy efficiency of manufacturing companies? Evidence from China”, International Journal of Environmental Research and Public Health, 19(4), 2091.
• Aguilar, J., Garces-Jimenez, A., R-moreno, M., & García, R. (2021). “A systematic literature review on the use of artificial intelligence in energy self-management in smart buildings”, Renewable and Sustainable Energy Reviews, 151, 111530.
• Neumann, W. P., Winkelhaus, S., Grosse, E. H., & Glock, C. H. (2021). “Industry 4.0 and the human factor–A systems framework and analysis methodology for successful development”, International Journal of Production Economics, 233, 107992.
• Sgarbossa, F., Grosse, E. H., Neumann, W. P., Battini, D., & Glock, C. H. (2020). “Human factors in production and logistics systems of the future”, Annual Reviews in Control, 49, 295-305.
• James, A. T., Kumar, G., Tayal, P., Chauhan, A., Wadhawa, C., & Panchal, J. (2022). “Analysis of human resource management challenges in implementation of industry 4.0 in Indian automobile industry”, Technological Forecasting and Social Change, 176, 121483.
• Madanchian, M., Taherdoost, H., & Mohamed, N. (2023). “AI-Based Human Resource Management Tools and Techniques; A Systematic Literature Review”, Procedia Computer Science, 229, 367-377.
• Sharma, A., Kosasih, E., Zhang, J., Brintrup, A., & Calinescu, A. (2022). “Digital twins: State of the art theory and practice, challenges, and open research questions”, Journal of Industrial Information Integration, 100383.
• Singh, P., Elmi, Z., Lau, Y.-y., Borowska-Stefańska, M., Wiśniewski, S., & Dulebenets, M. A. (2022). “Blockchain and AI technology convergence: Applications in transportation systems”, Vehicular Communications, 100521.
• Hasan, A. M., & Trianni, A. (2023). Boosting the adoption of industrial energy efficiency measures through Industry 4.0 technologies to improve operational performance. Journal of Cleaner Production, 425, 138597.
• Javaid, M., Haleem, A., Singh, R. P., Suman, R., & Gonzalez, E. S. (2022). Understanding the adoption of Industry 4.0 technologies in improving environmental sustainability. Sustainable Operations and Computers, 3, 203-217.
• Sani, S., Schaefer, D., & Milisavljevic-Syed, J. (2022). “Strategies for Achieving Pre-emptive Resilience in Military Supply Chains”, Procedia CIRP, 107, 1526-1532.
• Ali, S. M., Ashraf, M. A., Taqi, H. M. M., Ahmed, S., Rob, S. A., Kabir, G., Paul, S. K. (2023). “Drivers for Internet of Things (IoT) adoption in supply chains: Implications for sustainability in the post-pandemic era”, Computers & industrial engineering, 183, 109515.
• Kumar, D., Singh, R. K., Mishra, R., & Wamba, S. F. (2022). Applications of the internet of things for optimizing warehousing and logistics operations: A systematic literature review and future research directions. Computers & Industrial Engineering, 108455.
• Jakhar, N., Nandal, R., Joshi, K., & Noonia, A. (2023). “A Study on Smart Homes And Grids Under IoT Components”, 3rd International Conference on Intelligent Communication and Computational Techniques (ICCT).
• Mishra, M., Ghosh, S. K., & Sarkar, B. (2022). “Maintaining energy efficiencies and reducing carbon emissions under a sustainable supply chain management”, AIMS Environ. Sci, 9, 603-635.
• Ushakov, D., Dudukalov, E., Shmatko, L., & Shatila, K. (2022). “Artificial Intelligence as a factor of public transportations system development”, Transportation Research Procedia, 63, 2401-2408.
• Li, J., Ma, S., Qu, Y., & Wang, J. (2023). “The impact of artificial intelligence on firms’ energy and resource efficiency: Empirical evidence from China”, Resources Policy, 82, 103507.
• Govindan, K., Kannan, D., Jørgensen, T. B., & Nielsen, T. S. (2022). “Supply Chain 4.0 performance measurement: A systematic literature review, framework development, and empirical evidence”, Transportation Research Part E: Logistics and Transportation Review, 164, 102725.
• Lee, D.-s., Chen, Y.-T., & Chao, S.-L. (2022). “Universal workflow of artificial intelligence for energy saving”, Energy Reports, 8, 1602-1633.
• Lee, M. C., Scheepers, H., Lui, A. K., & Ngai, E. W. (2023). “The Implementation of Artificial Intelligence in Organizations: A Systematic Literature Review”, Information & Management, 103816.
• Rad, F. F., Oghazi, P., Palmié, M., Chirumalla, K., Pashkevich, N., Patel, P. C., Sattari, S. (2022). “Industry 4.0 and supply chain performance: A systematic literature review of the benefits, challenges, and critical success factors of 11 core technologies”, Industrial Marketing Management, 105, 268-293.
• Charles, V., Emrouznejad, A., & Gherman, T. (2023). “A critical analysis of the integration of blockchain and artificial intelligence for supply chain”, Annals of Operations Research, 1-41.
• Attaran, M., Attaran, S., & Celik, B. G. (2023). “The impact of digital twins on the evolution of intelligent manufacturing and Industry 4.0”, Advances in Computational Intelligence, 3(3), 11.
• Nia, A. R., Awasthi, A., & Bhuiyan, N. (2021). Industry 4.0 and demand forecasting of the energy supply chain: A literature review”, Computers & Industrial Engineering, 154, 107128.
• Çelik, D., Meral, M. E., & Waseem, M. (2022). “Investigation and analysis of effective approaches, opportunities, bottlenecks and future potential capabilities for digitalization of energy systems and sustainable development goals”, Electric Power Systems Research, 211, 108251.
• Lv, Y., Shang, Y. (2023). “Investigation of industry 4.0 technologies mediating effect on the supply chain performance and supply chain management practices”, Environmental Science and Pollution Research, 30(48), 106129-106144.
• Shahzad, M. F., Xu, S., Naveed, W., Nusrat, S., & Zahid, I. (2023). “Investigating the impact of artificial intelligence on human resource functions in the health sector of China: A mediated moderation model”, Heliyon, 9(11).
• Murugesan, U., Subramanian, P., Srivastava, S., & Dwivedi, A. (2023). “A study of Artificial Intelligence impacts on Human Resource Digitalization in Industry 4.0”, Decision Analytics Journal, 100249.