Derleme
BibTex RIS Kaynak Göster
Yıl 2021, Cilt: 1 Sayı: 1, 29 - 42, 15.01.2021

Öz

Kaynakça

  • Ben-Daya, M, Hassini, E, Bahroun, Z. “Internet of things and supply chain management: a literature review”, International Journal of Production Research 57 (2019) 4719-4742.
  • Xu, LD, Xu, EL, Li, L. “”Industry 4.0: state of the art and future trends”, International Journal of Production Research 56 (2018) 2941-2962.
  • Gružauskas, V, Baskutis, S, Navickas, V. “Minimizing the trade-off between sustainability and cost effective performance by using autonomous vehicles”, Journal of Cleaner Production 184 (2018) 709-717.
  • Luque, A, Peralta, ME, De Las Heras, Córdoba, A. “A. State of the Industry 4.0 in the Andalusian food sector”, Procedia Manufacturing 13 (2017) 1199-1205.
  • Thongpull, K, Groben, D, König, A. “A design automation approach for task-specific intelligent multi-sensory systems–Lab-on-spoon in food applications”, tm-Technisches Messen 82 (2015) 196-208.
  • Lee, C-H, Chen, C-H, Lee, Y-C, Xu, G, Li, F, Zhao, X. “Accelerating retail-innovation design for smart services via foresight approach and case-based design”, Transdisciplinary Engineering: A Paradigm Shift (2015) 813-820.
  • Silva, PCP, Silva, PCA. “Ipanera: An industry 4.0 based architecture for distributed soil-less food production systems”, In: Proceedings of the 1st Manufacturing & Industrial Engineering Symposium, Colombo, 22-22 October, (2016) 1-5.
  • Pilinkienė, V, Gružauskas, V, Navickas, V. “Lean thinking and Industry 4.0 competitiveness strategy: Sustainable food supply chain in the European Union”, In: Trends and Issues in Interdisciplinary Behavior and Social Science, CRC Press, (2017) 15-20.
  • Kocsis, M, Buyer, J, Sußmann, N, Zöllner, R, Mogan, G. “Autonomous Grocery Delivery Service in Urban Areas”, In: 2017 IEEE 19th International Conference on High Performance Computing and Communications, IEEE 15th International Conference on Smart City, IEEE 3rd International Conference on Data Science and Systems (HPCC/SmartCity/DSS), Bangkok, 18-20 December, (2017) 186-191.
  • Tufano, A, Accorsi, R, Garbellini, F, Manzini, R. “Plant design and control in food service industry. A multi-disciplinary decision-support system”, Computers in Industry 103 (2018) 72-85.
  • Bakir, D, Bakir, R, Engels, F. “Industry_Integrator as retrofit solution for digital manufacturing methods in existing industrial plants” Procedia Manufacturing 17 (2018) 1009-1014.
  • Demartini, M, Pinna, C, Tonelli, F, Terzi, S, Sansone, C, Testa, C. “Food industry digitalization: From challenges and trends to opportunities and solutions”, IFAC-PapersOnLine 51(2018) 1371-1378.
  • Mantravadi, S, Møller, C, Christensen, FMM. “Perspectives on real-time information sharing through smart factories: visibility via enterprise integration”, In: 2018 International Conference on Smart Systems and Technologies, Osijek, 10-12 October, (2018) 133-137.
  • Simon, J, Trojanova, M, Zbihlej, J, Sarosi, J. “Mass customization model in food industry using industry 4.0 standard with fuzzy-based multi-criteria decision making methodology”, Advances in Mechanical Engineering 10 (2018) 1-10.
  • Ahmed, K, Blech, JO, Gregory, MA, Schmidt, HW. “Software defined networks in industrial automation”, Journal of Sensor and Actuator Networks 7 (2018) 1-21.
  • Tseng, M-L, Chiu, ASF, Chien, C-F, Tan, RR. “Pathways and barriers to circularity in food systems”, Resources, Conservation & Recycling 143 (2019) 236-237.
  • Valecce, G, Strazzella, S, Radesca, A, Grieco, LA. “Solarfertigation: Internet of Things Architecture for Smart Agriculture”, In: 2019 IEEE International Conference on Communications Workshops, Shanghai, China, 20-24 May, (2019) 1-6.
  • Miranda, J, Ponce, P, Molina, A, Wright, P. “Sensing, smart and sustainable technologies for Agri-Food 4.0”, Computers in Industry 108 (2019) 21-36.
  • Zhao, G, Liu, S, Lopez, C, Lu, H, Elgueta, S, Chen, H, Boshkoska, BM. “Blockchain technology in agri-food value chain management: A synthesis of applications, challenges and future research directions”, Computers in Industry 109 (2019) 83-99.
  • Kamble, SS, Gunasekaran, A, Parekh, H, Joshi, S. “Modeling the internet of things adoption barriers in food retail supply chains”, Journal of Retailing and Consumer Service 48 (2019) 154-168.
  • Tanrıseven, S, Uğur, N, Kanak, A, Ergün, S. “ERINOKS: Energy-efficient induction-based food processing for optimized kitchens”, In: 2019 IEEE International Symposium on Circuits and Systems, Sapporo, Japan, 26-29 May, (2019) 1-5.
  • Nukala, R, Panduru, K, Shields, A, Riordan, D, Doody, P, Walsh, J. “Internet of Things: A review from ‘Farm to Fork’”, In: 2016 27th Irish Signals and Systems Conference, Londonderry, 21-22 June, (2016) 1-6.
  • Ojo, OO, Shah, S, Coutroubis, A, Jiménez, MT, Ocana, YM. “Potential impact of industry 4.0 in sustainable food supply chain environment”, In: 2018 IEEE International Conference on Technology Management, Operations and Decisions, Marrakech, Morocco, 21-23 November, (2018) 172-177.
  • Introini, SC, Boza, A, Alemany Díaz MME. “Traceability in the food supply chain: review of the literature from a technological perspective”, Dirección y Organización 64 (2018) 50-55.
  • Hasnan, NZN, Yusoff, YM. “Short review: application areas of Industry 4.0 technologies in food processing sector”, In: 2018 IEEE Student Conference on Research and Development, Selangor, Malaysia, 26-28 November, (2018) 1-6.
  • Bader, F, Rahimifard, S. “Challenges for industrial robot applications in food manufacturing”, In: Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control, September, (2018) 1-8, Available online: https://doi.org/10.1145/3284557.3284723.
  • Miorandi, D, Sicari, S, De Pellegrini, F, Chlamtac, I. “Internet of things: Vision, applications and research challenges”, Ad Hoc Networks 10 (2012) 1497-1516.
  • Atzori, L, Iera, A, Morabito, G. “The internet of things: A survey”, Computer Networks 54 (2010) 2787-2805.
  • Ray, PP, Pradhan, S, Sharma, RK, Rasaily, A, Swaraj, A, Pradhan, A. “IoT based fruit quality measurement system”, In: 2016 Online International Conference on Green Engineering and Technologies, Coimbatore, 19 November, (2016) 1-5.
  • Ruan, J, Shi, Y. “Monitoring and assessing fruit freshness in IOT-based e-commerce delivery using scenario analysis and interval number approaches”, ‎Information Sciences 373 (2016) 557-570.
  • Verdouw, CN, Wolfert, J, Beulens, AJM, Rialland, A. “Virtualization of food supply chains with the internet of things”, Journal of Food Engineering 176 (2016) 128-136.
  • Shih, C-W, Wang, C-H. “Integrating wireless sensor networks with statistical quality control to develop a cold chain system in food industries”, Computer Standards & Interfaces 45 (2016) 62-78.
  • Seo, S-M, Kim, S-W, Jeon, J-W, Kim, J-H, Kim, H-S, Cho, J-H, Lee, W-H, Paek, S-H. “Food contamination monitoring via internet of things, exemplified by using pocket-sized immunosensor as terminal unit”, Sensors & Actuators, B: Chemical 233 (2016) 148-156.
  • Wang, J, Yue, H. “Food safety pre-warning system based on data mining for a sustainable food supply chain”, Food Control 73 (2017) 223-229.
  • Accorsi, R, Bortolini, M, Baruffaldi, G, Pilati, F, Ferrari, E. “Internet-of-things paradigm in food supply chains control and management”, Procedia Manufacturing 11 (2017) 889-895.
  • Kong, XTR, Zhong, RY, Xu, G, Huang, GQ. “Robot-enabled execution system for perishables auction logistics”, Industrial Management & Data 117 (2017) 1954-1971.
  • Zhang, Y, Zhao, L, Qian, C. “Modeling of an IoT-enabled supply chain for perishable food with two-echelon supply hubs”, Industrial Management & Data 117 (2017) 1890-1905.
  • Li, Z, Liu, G, Liu, L, Lai, X, Xu, G. “IoT-based tracking and tracing platform for prepackaged food supply chain”, Industrial Management & Data 117 (2017) 1906-1916.
  • Wu, Z, Meng, Z, Gray, J. “IoT-based techniques for online M2M-interactive itemized data registration and offline information traceability in a digital manufacturing system”, IEEE Transactions on Industrial Informatics 13 (2017) 2397-2405.
  • Desai, H, Guruvayurappan, D, Merchant, M, Somaiya, S, Mundra, H. “IoT based grocery monitoring system”, In: 2017 Fourteenth International Conference on Wireless and Optical Communications Networks, Mumbai, 24-26 February, (2017) 1-4.
  • Bonaccorsi, M, Betti, S, Rateni, G, Esposito, D, Brischetto, A, Marseglia, M, Dario, P, Cavallo, F. “‘HighChest’: An augmented freezer designed for smart food management and promotion of eco-efficient behavior”, Sensors 17 (2017) 1357.
  • Meng, Z, Wu, Z, Gray, J. “A collaboration-oriented M2M messaging mechanism for the collaborative automation between machines in future industrial networks”, Sensors 17 (2017) 2694.
  • Mededjel, M, Belalem, G, Neki, A. “Towards a traceability system based on cloud and fog computing”, Multiagent and Grid Systems 13 (2017) 47-68.
  • Morillo, P, Orduña, JM, Fernández, M, García-Pereira, I. “Comparison of WSN and IoT approaches for a real-time monitoring system of meal distribution trolleys: A case study”, Future Generation Computer Systems 87 (2018) 242-250.
  • Wen, Z, Hu, S, De Clercq, D, Beck, MB, Zhang, H, Zhang, H, Fei, F, Liu, J. “Design, implementation, and evaluation of an Internet of Things (IoT) network system for restaurant food waste management”, Waste Management 73 (2018) 26-38.
  • Kim, NP, Eo, J-S, Cho, D. “Optimization of piston type extrusion (PTE) techniques for 3D printed food”, Journal of Food Engineering 235 (2018) 41-49.
  • Tsang, YP, Choy, KL, Wu, CH, Ho, GTS, Lam, HY, Tang, V. “An intelligent model for assuring food quality in managing a multi-temperature food distribution centre”, Food control 90 (2018) 81-97.
  • Liu, Y, Liu, S, Wang, J, Qian, K, Shi, Y, Zheng, L, Chen, F, Kong, N. “A credible food traceability system based on domain name system security extensions”, International Journal of Online Engineering 14 (2018) 111-125.
  • Chaudhari, MP, Chandak, MB. “Predictive analytics for anomaly detection in internet of things enabled smart cold storage warehousing”, HELIX 8 (2018) 3941-3945.
  • Chiang, C-T, Lu, Y-K, Lin, L-T. “A CMOS Fish spoilage detector for IoT applications of fish markets”, IEEE Sensors Journal 18 (2018) 375-381.
  • Sundaravadivel, P, Kesavan, K, Kesavan, L, Mohanty, SP, Kougianos, E, Ganapathiraju, M. “Smart-log: An automated, predictive nutrition monitoring system for infants through the IoT”, In: 2018 IEEE International Conference on Consumer Electronics, Las Vegas, NV, USA, 12-14 January, (2018) 1-4.
  • Sundaravadivel, P, Kesavan, K, Kesavan, L, Mohanty, SP, Kougianos, E. “Smart-Log: A deep-learning based automated nutrition monitoring system in the IoT”, IEEE Transactions on Consumer Electronics 64 (2018) 390-398.
  • Lin, Q, Wang, H, Pei, X, Wang, J. “Food safety traceability system based on blockchain and EPCIS”, IEEE Access 7 (2019) 20698-20707.
  • Mondal, S, Wijewardena, KP, Karuppuswami, S, Kriti, N, Kumar, D, Chahal, P. “Blockchain inspired RFID based information architecture for food supply chain”, IEEE Internet of Things Journal 6 (2019) 5803-5813.
  • Ray, PP, Dash, D, De, D. “Approximation of fruit ripening quality index for IoT based assistive e-healthcare”, Microsystem Technologies 25 (2019) 3027-3036.
  • Jilani, MT, Rehman, MZU, Khan, AM, Chughtai, O, Abbas, MA, Khan, MT. “An implementation of IoT-based microwave sensing system for the evaluation of tissues moisture”, Microelectron Journal 88 (2019) 117-127.
  • Jagtap, S, Rahimifard, S. “The digitisation of food manufacturing to reduce waste–Case study of a ready meal factory”, Waste Management 87 (2019) 387-397.
  • Jagtap, S, Bhatt, C, Thik, J, Rahimifard, S. “Monitoring potato waste in food manufacturing using image processing and internet of things approach”, Sustainability 11 (2019) 3173.
  • Kodan, R, Parmar, P, Pathania, S. “Internet of Things for Food Sector: Status Quo and Projected Potential”, Food Reviews International (2019), Available online: https://doi.org/10.1080/87559129.2019.1657442.
  • Gamaleldin, AM. “An Introduction to Cloud Computing Concepts”, Software Engineering Competence Center, Available online: https://www.secc.org.eg/Recocape/SECC_Tutorials_An%20Introduction%20to%20Cloud%20Computing%20Concepts.pdf. (Accessed 27 September 2019).
  • Marks, EA, Lozano, B. “Executive's guide to cloud computing”, John Wiley and Sons, 2010.
  • Dehghanghadikolaei, A, Namdari, N, Mohammadian, B, Fotovvati, B. “Additive manufacturing methods: a brief overview”, Journal of Scientific and Engineering Research 5 (2018) 123-131.
  • Garrett, B. “3D printing: new economic paradigms and strategic shifts”, Global Policy 5 (2014) 70-75.
  • Portanguen, S, Tournayre, P, Sicard, J, Astruc, T, Mirade, P-S. “Toward the design of functional foods and biobased products by 3D printing: A review”, Trends in Food Science & Technology 86 (2019) 188-198.
  • Godoi, FC, Prakash, S, Bhandari, BR. “3d printing technologies applied for food design: Status and prospects”, Journal of Food Engineering 179 (2016) 44-54.
  • Nachal, N, Moses, JA, Karthik, P, Anandharamakrishnan, C. “Applications of 3D printing in food processing”, Food Engineering Reviews 11 (2019) 123-141.
  • Pouladzadeh, P, Peddi, SVB, Kuhad, P, Yassine, A, Shirmohammadi, S. “A virtualization mechanism for real-time multimedia-assisted mobile food recognition application in cloud computing”, Cluster Computing 18 (2015) 1099-1110.
  • Cao, T-D, Truong, H-L. “Analyzing and conceptualizing monitoring and analytics as a service for grain warehouses”, In: Recent Developments in Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 642. Springer, Cham, 642 (2016) 161-171.
  • Rehman, F, Khalid, O, Haq, N, Khan, AR, Bilal, K, Madani, SA. “Diet-right: a smart food recommendation system”, KSII Transactions on Internet and Information Systems 11 (2017) 2910- 2925.
  • Liu, C, Cao, Y, Luo, Y, Chen, G, Vokkarane, V, Yunsheng, M, Chen, S, Hou, P. “A new deep learning-based food recognition system for dietary assessment on an edge computing service infrastructure”, IEEE Transactions on Computers 11(2018) 249-261.
  • Dandage, K. “Food traceability through web and smart phone for farmer’s agriculture products in India with help of web API's technology”, AgroLife Scientific Journal 7 (2018) 31-42.
  • Liang, L, Runkle, BRK, Sapkota, BB, Reba, ML. “Automated mapping of rice fields using multi-year training sample normalization”, International Journal of Remote Sensing 40 (2019) 7252-7271.
  • Doğan, K, Arslantekin, S. “Büyük veri: önemi, yapısı ve günümüzdeki durum”, DTCF Dergisi 56 (2016) 15-36.
  • Kune, R, Konugurthi, PK, Agarwal, A, Chillarige, RR, Buyya, R. “The anatomy of big data computing”, Software: Practice and Experience 46 (2016) 79-105.
  • Wu, S-Y, Yang, C, Hsu, W, Lin, L. “RF wireless LC tank sensors fabricated by 3D additive manufacturing”, In 2015 Transducers-2015 18th International Conference on Solid-State Sensors, Actuators and Microsystems, Anchorage, AK, USA, 21-25 June, (2015) 2208-2211.
  • Severini, C, Derossi, A, Azzollini, D. “Variables affecting the printability of foods: Preliminary tests on cereal-based products”, Innovative Food Science and Emerging Technologies 38 (2016) 281-291.
  • Bogue, R. “3D printing: An emerging technology for sensor fabrication”, Sensor Review 36 (2016) 333-338.
  • Kouzani, AZ, Adams, S, Oliver, R, Nguwi, YY, Hemsley, B, Balandin, S. “3D printing of a Pavlova”, In: 2016 IEEE Region 10 Conference, Singapore, 22-25 November, (2016) 2281-2285.
  • Mantihal, S, Prakash, S, Godoi, FC, Bhandari, B. “Optimization of chocolate 3D printing by correlating thermal and flow properties with 3D structure modeling”, Innovative Food Science and Emerging Technologies 44 (2017) 21-29.
  • Yang, F, Zhang, M, Bhandari, B, Liu, Y. “Investigation on lemon juice gel as food material for 3D printing and optimization of printing parameters”, LWT - Food Science and Technology 87 (2018) 67-76.
  • Lanaro, M, Forrestal, DP, Scheurer, S, Slinger, DJ, Liao, S, Powell, SK, Woodruff, MA. “3D printing complex chocolate objects: Platform design, optimization and evaluation”, Journal of Food Engineering 215 (2017) 13-22.
  • Holland, S, Tuck, C, Foster, T. “Selective recrystallization of cellulose composite powders and microstructure creation through 3D binder jetting”, Carbohydrate Polymers 200 (2018) 229-238.
  • Tohic, CL, O'Sullivan, JJ, Drapala, KP, Chartrin, V, Chan, T, Morrison, AP, Kerry, JP, Kelly, AL. “Effect of 3D printing on the structure and textural properties of processed cheese”, Journal of Food Engineering 220 (2018) 56-64.
  • Vancauwenberghe, V, Verboven, P, Lammertyn, J, Nicolaï, B. “Development of a coaxial extrusion deposition for 3D printing of customizable pectin-based food simulant”, Journal of Food Engineering 225 (2018) 42-52.
  • Kim, HW, Lee, JH, Park, SM, Lee, MH, Lee, IW, Doh, HS, Park, HJ. “Effect of hydrocolloids on rheological properties and printability of vegetable inks for 3D food printing”, Journal of Food Science 83 (2018) 2923-2932.
  • Lee, JH, Won, DJ, Kim, HW, Park, HJ. “Effect of particle size on 3D printing performance of the food-ink system with cellular food materials”, Journal of Food Engineering 256 (2019) 1-8.
  • Vancauwenberghe, V, Mbong, VBM, Vanstreels, E, Verboven, P, Lammertyn, J, Nicolai, B. “3D printing of plant tissue for innovative food manufacturing: Encapsulation of alive plant cells into pectin based bio-ink”, Journal of Food Engineering 263 (2019) 454-464.
  • Lukyamuzi, A, Ngubiri, J, Okori, W. “Towards harnessing phone messages and telephone conversations for prediction of food crisis”, International Journal of System Dynamics Applications 4 (2015) 1-16.
  • Navickas, V, Gružauskas, V. “Big data concept in the food supply chain: Small markets case”, Scientific Annals of Economics and Busines 63 (2016) 15-28.
  • Geng, Z, Shang, D, Zhu, Q, Wu, Q, Han, Y. “Research on improved focused crawler and its application in food safety public opinion analysis”, In: 2017 Chinese Automation Congress, Jinan, 20-22 October, (2017) 2847-2852.
  • Alfian, G, Syafrudin, M, Rhee, J. “Real-time monitoring system using smartphone-based sensors and NoSQL database for perishable supply chain”, Sustainability 9 (2017) 2073.
  • Ji, G, Hu, L, Tan, KH. “A study on decision-making of food supply chain based on big data”, Journal of Systems Science and Systems Engineering 26 (2017) 183-198.
  • Irani, Z, Sharif, AM, Lee, H, Aktas, E, Topaloğlu, Z, van't Wout, T, Huda, S. “Managing food security through food waste and loss: Small data to big data”, Computers & Operations Research 98 (2018) 367-383.
  • Singh, A, Kumari, S, Malekpoor, H, Mishra, N. “Big data cloud computing framework for low carbon supplier selection in the beef supply chain”, Journal of Cleaner Production 202 (2018) 139-149.
  • Singh, A, Shukla, N, Mishra, N. “Social media data analytics to improve supply chain management in food industries”, Transportation Research Part E 114 (2018) 398-415.
  • Li, X-R, Zhang, J-Y, Huang, Y, Zeng, Z-L, Cheng, DU. “Student food data analysis system”, In: 2018 International Conference on Electrical, Control, Automation and Robotics, Xiamen, China, 16-17 September, (2018) 317-321.
  • Mishra, N, Singh, A. “Use of twitter data for waste minimisation in beef supply chain”, Annals of Operations Research 270 (2018) 337-359.
  • Xu, X, Hou, L, Guo, Z, Wang, J, Li, J. “Developing a Chinese food nutrient data analysis system for precise dietary intake management”, In: International Conference on Big Data, Lecture Notes in Computer Science, vol 10968. Springer, Cham, (2018) 360-366.
  • Parvin, S, Venkatraman, S, de Souza-Daw, T, Fahd, K, Jackson, J, Kaspi, S, Cooley, N, Saleem, K, Gawanmeh, A. “Smart food security system using IoT and big data analytics”, In: 16th International Conference on Information Technology-New Generations, Advances in Intelligent Systems and Computing, vol 800. Springer, Cham, (2019) 253-258.
  • Erl, T, Khattak, W, Buhler, P. “Big data fundamentals: concepts, drivers & techniques”, Prentice Hall Press, 2016.
  • Venkatraman, S, Fahd, K, Kaspi, S, Venkatraman, R. “SQL versus NoSQL movement with big data analytics”, International Journal of Information Technology and Computer Science 12 (2016) 59-66.
  • Kumar, R, Parashar, BB, Gupta, S, Sharma, Y, Gupta, N. “Apache Hadoop, NoSQL and NewSQL Solutions of Big Data”, International Journal of Advance Foundation and Research in Science & Engineering 1 (2014) 28-36.

Industry 4.0 Approaches in Food and Bio Industry: Recent Developments and Future Trends

Yıl 2021, Cilt: 1 Sayı: 1, 29 - 42, 15.01.2021

Öz

The application of the Industry 4.0 concept is essential to increase the productivity and efficiency of industry that includes food manufacturing, bioprocessing, retailing, marketing, and so forth. With Industry 4.0, food industrial processes can also be optimized and handled in a coordinated manner. Industry 4.0 has pioneered the communication of industrial objects with technological elements. However, Industry 4.0 includes high level of uncertainty and complexity. Therefore, more research is needed related to Industry 4.0 in today's fast changing environments. The primary aim of this study is to present the future avenues of research related to food industry and Industry 4.0. The paper provides good opportunities for further studies of digital enablers in Industry 4.0. In the paper, four key digital enablers including internet of things, cloud computing, additive manufacturing and 3D printing, Industrial Big Data are taken into account. This paper can help researchers to determine potential areas requiring the essential research in the field of application of Industry 4.0. To improve productivity and resource efficiency, Industry 4.0 tools (e.g. artificial intelligence) can also be integrated into precision agriculture that enhances the circularity of food systems.

Kaynakça

  • Ben-Daya, M, Hassini, E, Bahroun, Z. “Internet of things and supply chain management: a literature review”, International Journal of Production Research 57 (2019) 4719-4742.
  • Xu, LD, Xu, EL, Li, L. “”Industry 4.0: state of the art and future trends”, International Journal of Production Research 56 (2018) 2941-2962.
  • Gružauskas, V, Baskutis, S, Navickas, V. “Minimizing the trade-off between sustainability and cost effective performance by using autonomous vehicles”, Journal of Cleaner Production 184 (2018) 709-717.
  • Luque, A, Peralta, ME, De Las Heras, Córdoba, A. “A. State of the Industry 4.0 in the Andalusian food sector”, Procedia Manufacturing 13 (2017) 1199-1205.
  • Thongpull, K, Groben, D, König, A. “A design automation approach for task-specific intelligent multi-sensory systems–Lab-on-spoon in food applications”, tm-Technisches Messen 82 (2015) 196-208.
  • Lee, C-H, Chen, C-H, Lee, Y-C, Xu, G, Li, F, Zhao, X. “Accelerating retail-innovation design for smart services via foresight approach and case-based design”, Transdisciplinary Engineering: A Paradigm Shift (2015) 813-820.
  • Silva, PCP, Silva, PCA. “Ipanera: An industry 4.0 based architecture for distributed soil-less food production systems”, In: Proceedings of the 1st Manufacturing & Industrial Engineering Symposium, Colombo, 22-22 October, (2016) 1-5.
  • Pilinkienė, V, Gružauskas, V, Navickas, V. “Lean thinking and Industry 4.0 competitiveness strategy: Sustainable food supply chain in the European Union”, In: Trends and Issues in Interdisciplinary Behavior and Social Science, CRC Press, (2017) 15-20.
  • Kocsis, M, Buyer, J, Sußmann, N, Zöllner, R, Mogan, G. “Autonomous Grocery Delivery Service in Urban Areas”, In: 2017 IEEE 19th International Conference on High Performance Computing and Communications, IEEE 15th International Conference on Smart City, IEEE 3rd International Conference on Data Science and Systems (HPCC/SmartCity/DSS), Bangkok, 18-20 December, (2017) 186-191.
  • Tufano, A, Accorsi, R, Garbellini, F, Manzini, R. “Plant design and control in food service industry. A multi-disciplinary decision-support system”, Computers in Industry 103 (2018) 72-85.
  • Bakir, D, Bakir, R, Engels, F. “Industry_Integrator as retrofit solution for digital manufacturing methods in existing industrial plants” Procedia Manufacturing 17 (2018) 1009-1014.
  • Demartini, M, Pinna, C, Tonelli, F, Terzi, S, Sansone, C, Testa, C. “Food industry digitalization: From challenges and trends to opportunities and solutions”, IFAC-PapersOnLine 51(2018) 1371-1378.
  • Mantravadi, S, Møller, C, Christensen, FMM. “Perspectives on real-time information sharing through smart factories: visibility via enterprise integration”, In: 2018 International Conference on Smart Systems and Technologies, Osijek, 10-12 October, (2018) 133-137.
  • Simon, J, Trojanova, M, Zbihlej, J, Sarosi, J. “Mass customization model in food industry using industry 4.0 standard with fuzzy-based multi-criteria decision making methodology”, Advances in Mechanical Engineering 10 (2018) 1-10.
  • Ahmed, K, Blech, JO, Gregory, MA, Schmidt, HW. “Software defined networks in industrial automation”, Journal of Sensor and Actuator Networks 7 (2018) 1-21.
  • Tseng, M-L, Chiu, ASF, Chien, C-F, Tan, RR. “Pathways and barriers to circularity in food systems”, Resources, Conservation & Recycling 143 (2019) 236-237.
  • Valecce, G, Strazzella, S, Radesca, A, Grieco, LA. “Solarfertigation: Internet of Things Architecture for Smart Agriculture”, In: 2019 IEEE International Conference on Communications Workshops, Shanghai, China, 20-24 May, (2019) 1-6.
  • Miranda, J, Ponce, P, Molina, A, Wright, P. “Sensing, smart and sustainable technologies for Agri-Food 4.0”, Computers in Industry 108 (2019) 21-36.
  • Zhao, G, Liu, S, Lopez, C, Lu, H, Elgueta, S, Chen, H, Boshkoska, BM. “Blockchain technology in agri-food value chain management: A synthesis of applications, challenges and future research directions”, Computers in Industry 109 (2019) 83-99.
  • Kamble, SS, Gunasekaran, A, Parekh, H, Joshi, S. “Modeling the internet of things adoption barriers in food retail supply chains”, Journal of Retailing and Consumer Service 48 (2019) 154-168.
  • Tanrıseven, S, Uğur, N, Kanak, A, Ergün, S. “ERINOKS: Energy-efficient induction-based food processing for optimized kitchens”, In: 2019 IEEE International Symposium on Circuits and Systems, Sapporo, Japan, 26-29 May, (2019) 1-5.
  • Nukala, R, Panduru, K, Shields, A, Riordan, D, Doody, P, Walsh, J. “Internet of Things: A review from ‘Farm to Fork’”, In: 2016 27th Irish Signals and Systems Conference, Londonderry, 21-22 June, (2016) 1-6.
  • Ojo, OO, Shah, S, Coutroubis, A, Jiménez, MT, Ocana, YM. “Potential impact of industry 4.0 in sustainable food supply chain environment”, In: 2018 IEEE International Conference on Technology Management, Operations and Decisions, Marrakech, Morocco, 21-23 November, (2018) 172-177.
  • Introini, SC, Boza, A, Alemany Díaz MME. “Traceability in the food supply chain: review of the literature from a technological perspective”, Dirección y Organización 64 (2018) 50-55.
  • Hasnan, NZN, Yusoff, YM. “Short review: application areas of Industry 4.0 technologies in food processing sector”, In: 2018 IEEE Student Conference on Research and Development, Selangor, Malaysia, 26-28 November, (2018) 1-6.
  • Bader, F, Rahimifard, S. “Challenges for industrial robot applications in food manufacturing”, In: Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control, September, (2018) 1-8, Available online: https://doi.org/10.1145/3284557.3284723.
  • Miorandi, D, Sicari, S, De Pellegrini, F, Chlamtac, I. “Internet of things: Vision, applications and research challenges”, Ad Hoc Networks 10 (2012) 1497-1516.
  • Atzori, L, Iera, A, Morabito, G. “The internet of things: A survey”, Computer Networks 54 (2010) 2787-2805.
  • Ray, PP, Pradhan, S, Sharma, RK, Rasaily, A, Swaraj, A, Pradhan, A. “IoT based fruit quality measurement system”, In: 2016 Online International Conference on Green Engineering and Technologies, Coimbatore, 19 November, (2016) 1-5.
  • Ruan, J, Shi, Y. “Monitoring and assessing fruit freshness in IOT-based e-commerce delivery using scenario analysis and interval number approaches”, ‎Information Sciences 373 (2016) 557-570.
  • Verdouw, CN, Wolfert, J, Beulens, AJM, Rialland, A. “Virtualization of food supply chains with the internet of things”, Journal of Food Engineering 176 (2016) 128-136.
  • Shih, C-W, Wang, C-H. “Integrating wireless sensor networks with statistical quality control to develop a cold chain system in food industries”, Computer Standards & Interfaces 45 (2016) 62-78.
  • Seo, S-M, Kim, S-W, Jeon, J-W, Kim, J-H, Kim, H-S, Cho, J-H, Lee, W-H, Paek, S-H. “Food contamination monitoring via internet of things, exemplified by using pocket-sized immunosensor as terminal unit”, Sensors & Actuators, B: Chemical 233 (2016) 148-156.
  • Wang, J, Yue, H. “Food safety pre-warning system based on data mining for a sustainable food supply chain”, Food Control 73 (2017) 223-229.
  • Accorsi, R, Bortolini, M, Baruffaldi, G, Pilati, F, Ferrari, E. “Internet-of-things paradigm in food supply chains control and management”, Procedia Manufacturing 11 (2017) 889-895.
  • Kong, XTR, Zhong, RY, Xu, G, Huang, GQ. “Robot-enabled execution system for perishables auction logistics”, Industrial Management & Data 117 (2017) 1954-1971.
  • Zhang, Y, Zhao, L, Qian, C. “Modeling of an IoT-enabled supply chain for perishable food with two-echelon supply hubs”, Industrial Management & Data 117 (2017) 1890-1905.
  • Li, Z, Liu, G, Liu, L, Lai, X, Xu, G. “IoT-based tracking and tracing platform for prepackaged food supply chain”, Industrial Management & Data 117 (2017) 1906-1916.
  • Wu, Z, Meng, Z, Gray, J. “IoT-based techniques for online M2M-interactive itemized data registration and offline information traceability in a digital manufacturing system”, IEEE Transactions on Industrial Informatics 13 (2017) 2397-2405.
  • Desai, H, Guruvayurappan, D, Merchant, M, Somaiya, S, Mundra, H. “IoT based grocery monitoring system”, In: 2017 Fourteenth International Conference on Wireless and Optical Communications Networks, Mumbai, 24-26 February, (2017) 1-4.
  • Bonaccorsi, M, Betti, S, Rateni, G, Esposito, D, Brischetto, A, Marseglia, M, Dario, P, Cavallo, F. “‘HighChest’: An augmented freezer designed for smart food management and promotion of eco-efficient behavior”, Sensors 17 (2017) 1357.
  • Meng, Z, Wu, Z, Gray, J. “A collaboration-oriented M2M messaging mechanism for the collaborative automation between machines in future industrial networks”, Sensors 17 (2017) 2694.
  • Mededjel, M, Belalem, G, Neki, A. “Towards a traceability system based on cloud and fog computing”, Multiagent and Grid Systems 13 (2017) 47-68.
  • Morillo, P, Orduña, JM, Fernández, M, García-Pereira, I. “Comparison of WSN and IoT approaches for a real-time monitoring system of meal distribution trolleys: A case study”, Future Generation Computer Systems 87 (2018) 242-250.
  • Wen, Z, Hu, S, De Clercq, D, Beck, MB, Zhang, H, Zhang, H, Fei, F, Liu, J. “Design, implementation, and evaluation of an Internet of Things (IoT) network system for restaurant food waste management”, Waste Management 73 (2018) 26-38.
  • Kim, NP, Eo, J-S, Cho, D. “Optimization of piston type extrusion (PTE) techniques for 3D printed food”, Journal of Food Engineering 235 (2018) 41-49.
  • Tsang, YP, Choy, KL, Wu, CH, Ho, GTS, Lam, HY, Tang, V. “An intelligent model for assuring food quality in managing a multi-temperature food distribution centre”, Food control 90 (2018) 81-97.
  • Liu, Y, Liu, S, Wang, J, Qian, K, Shi, Y, Zheng, L, Chen, F, Kong, N. “A credible food traceability system based on domain name system security extensions”, International Journal of Online Engineering 14 (2018) 111-125.
  • Chaudhari, MP, Chandak, MB. “Predictive analytics for anomaly detection in internet of things enabled smart cold storage warehousing”, HELIX 8 (2018) 3941-3945.
  • Chiang, C-T, Lu, Y-K, Lin, L-T. “A CMOS Fish spoilage detector for IoT applications of fish markets”, IEEE Sensors Journal 18 (2018) 375-381.
  • Sundaravadivel, P, Kesavan, K, Kesavan, L, Mohanty, SP, Kougianos, E, Ganapathiraju, M. “Smart-log: An automated, predictive nutrition monitoring system for infants through the IoT”, In: 2018 IEEE International Conference on Consumer Electronics, Las Vegas, NV, USA, 12-14 January, (2018) 1-4.
  • Sundaravadivel, P, Kesavan, K, Kesavan, L, Mohanty, SP, Kougianos, E. “Smart-Log: A deep-learning based automated nutrition monitoring system in the IoT”, IEEE Transactions on Consumer Electronics 64 (2018) 390-398.
  • Lin, Q, Wang, H, Pei, X, Wang, J. “Food safety traceability system based on blockchain and EPCIS”, IEEE Access 7 (2019) 20698-20707.
  • Mondal, S, Wijewardena, KP, Karuppuswami, S, Kriti, N, Kumar, D, Chahal, P. “Blockchain inspired RFID based information architecture for food supply chain”, IEEE Internet of Things Journal 6 (2019) 5803-5813.
  • Ray, PP, Dash, D, De, D. “Approximation of fruit ripening quality index for IoT based assistive e-healthcare”, Microsystem Technologies 25 (2019) 3027-3036.
  • Jilani, MT, Rehman, MZU, Khan, AM, Chughtai, O, Abbas, MA, Khan, MT. “An implementation of IoT-based microwave sensing system for the evaluation of tissues moisture”, Microelectron Journal 88 (2019) 117-127.
  • Jagtap, S, Rahimifard, S. “The digitisation of food manufacturing to reduce waste–Case study of a ready meal factory”, Waste Management 87 (2019) 387-397.
  • Jagtap, S, Bhatt, C, Thik, J, Rahimifard, S. “Monitoring potato waste in food manufacturing using image processing and internet of things approach”, Sustainability 11 (2019) 3173.
  • Kodan, R, Parmar, P, Pathania, S. “Internet of Things for Food Sector: Status Quo and Projected Potential”, Food Reviews International (2019), Available online: https://doi.org/10.1080/87559129.2019.1657442.
  • Gamaleldin, AM. “An Introduction to Cloud Computing Concepts”, Software Engineering Competence Center, Available online: https://www.secc.org.eg/Recocape/SECC_Tutorials_An%20Introduction%20to%20Cloud%20Computing%20Concepts.pdf. (Accessed 27 September 2019).
  • Marks, EA, Lozano, B. “Executive's guide to cloud computing”, John Wiley and Sons, 2010.
  • Dehghanghadikolaei, A, Namdari, N, Mohammadian, B, Fotovvati, B. “Additive manufacturing methods: a brief overview”, Journal of Scientific and Engineering Research 5 (2018) 123-131.
  • Garrett, B. “3D printing: new economic paradigms and strategic shifts”, Global Policy 5 (2014) 70-75.
  • Portanguen, S, Tournayre, P, Sicard, J, Astruc, T, Mirade, P-S. “Toward the design of functional foods and biobased products by 3D printing: A review”, Trends in Food Science & Technology 86 (2019) 188-198.
  • Godoi, FC, Prakash, S, Bhandari, BR. “3d printing technologies applied for food design: Status and prospects”, Journal of Food Engineering 179 (2016) 44-54.
  • Nachal, N, Moses, JA, Karthik, P, Anandharamakrishnan, C. “Applications of 3D printing in food processing”, Food Engineering Reviews 11 (2019) 123-141.
  • Pouladzadeh, P, Peddi, SVB, Kuhad, P, Yassine, A, Shirmohammadi, S. “A virtualization mechanism for real-time multimedia-assisted mobile food recognition application in cloud computing”, Cluster Computing 18 (2015) 1099-1110.
  • Cao, T-D, Truong, H-L. “Analyzing and conceptualizing monitoring and analytics as a service for grain warehouses”, In: Recent Developments in Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 642. Springer, Cham, 642 (2016) 161-171.
  • Rehman, F, Khalid, O, Haq, N, Khan, AR, Bilal, K, Madani, SA. “Diet-right: a smart food recommendation system”, KSII Transactions on Internet and Information Systems 11 (2017) 2910- 2925.
  • Liu, C, Cao, Y, Luo, Y, Chen, G, Vokkarane, V, Yunsheng, M, Chen, S, Hou, P. “A new deep learning-based food recognition system for dietary assessment on an edge computing service infrastructure”, IEEE Transactions on Computers 11(2018) 249-261.
  • Dandage, K. “Food traceability through web and smart phone for farmer’s agriculture products in India with help of web API's technology”, AgroLife Scientific Journal 7 (2018) 31-42.
  • Liang, L, Runkle, BRK, Sapkota, BB, Reba, ML. “Automated mapping of rice fields using multi-year training sample normalization”, International Journal of Remote Sensing 40 (2019) 7252-7271.
  • Doğan, K, Arslantekin, S. “Büyük veri: önemi, yapısı ve günümüzdeki durum”, DTCF Dergisi 56 (2016) 15-36.
  • Kune, R, Konugurthi, PK, Agarwal, A, Chillarige, RR, Buyya, R. “The anatomy of big data computing”, Software: Practice and Experience 46 (2016) 79-105.
  • Wu, S-Y, Yang, C, Hsu, W, Lin, L. “RF wireless LC tank sensors fabricated by 3D additive manufacturing”, In 2015 Transducers-2015 18th International Conference on Solid-State Sensors, Actuators and Microsystems, Anchorage, AK, USA, 21-25 June, (2015) 2208-2211.
  • Severini, C, Derossi, A, Azzollini, D. “Variables affecting the printability of foods: Preliminary tests on cereal-based products”, Innovative Food Science and Emerging Technologies 38 (2016) 281-291.
  • Bogue, R. “3D printing: An emerging technology for sensor fabrication”, Sensor Review 36 (2016) 333-338.
  • Kouzani, AZ, Adams, S, Oliver, R, Nguwi, YY, Hemsley, B, Balandin, S. “3D printing of a Pavlova”, In: 2016 IEEE Region 10 Conference, Singapore, 22-25 November, (2016) 2281-2285.
  • Mantihal, S, Prakash, S, Godoi, FC, Bhandari, B. “Optimization of chocolate 3D printing by correlating thermal and flow properties with 3D structure modeling”, Innovative Food Science and Emerging Technologies 44 (2017) 21-29.
  • Yang, F, Zhang, M, Bhandari, B, Liu, Y. “Investigation on lemon juice gel as food material for 3D printing and optimization of printing parameters”, LWT - Food Science and Technology 87 (2018) 67-76.
  • Lanaro, M, Forrestal, DP, Scheurer, S, Slinger, DJ, Liao, S, Powell, SK, Woodruff, MA. “3D printing complex chocolate objects: Platform design, optimization and evaluation”, Journal of Food Engineering 215 (2017) 13-22.
  • Holland, S, Tuck, C, Foster, T. “Selective recrystallization of cellulose composite powders and microstructure creation through 3D binder jetting”, Carbohydrate Polymers 200 (2018) 229-238.
  • Tohic, CL, O'Sullivan, JJ, Drapala, KP, Chartrin, V, Chan, T, Morrison, AP, Kerry, JP, Kelly, AL. “Effect of 3D printing on the structure and textural properties of processed cheese”, Journal of Food Engineering 220 (2018) 56-64.
  • Vancauwenberghe, V, Verboven, P, Lammertyn, J, Nicolaï, B. “Development of a coaxial extrusion deposition for 3D printing of customizable pectin-based food simulant”, Journal of Food Engineering 225 (2018) 42-52.
  • Kim, HW, Lee, JH, Park, SM, Lee, MH, Lee, IW, Doh, HS, Park, HJ. “Effect of hydrocolloids on rheological properties and printability of vegetable inks for 3D food printing”, Journal of Food Science 83 (2018) 2923-2932.
  • Lee, JH, Won, DJ, Kim, HW, Park, HJ. “Effect of particle size on 3D printing performance of the food-ink system with cellular food materials”, Journal of Food Engineering 256 (2019) 1-8.
  • Vancauwenberghe, V, Mbong, VBM, Vanstreels, E, Verboven, P, Lammertyn, J, Nicolai, B. “3D printing of plant tissue for innovative food manufacturing: Encapsulation of alive plant cells into pectin based bio-ink”, Journal of Food Engineering 263 (2019) 454-464.
  • Lukyamuzi, A, Ngubiri, J, Okori, W. “Towards harnessing phone messages and telephone conversations for prediction of food crisis”, International Journal of System Dynamics Applications 4 (2015) 1-16.
  • Navickas, V, Gružauskas, V. “Big data concept in the food supply chain: Small markets case”, Scientific Annals of Economics and Busines 63 (2016) 15-28.
  • Geng, Z, Shang, D, Zhu, Q, Wu, Q, Han, Y. “Research on improved focused crawler and its application in food safety public opinion analysis”, In: 2017 Chinese Automation Congress, Jinan, 20-22 October, (2017) 2847-2852.
  • Alfian, G, Syafrudin, M, Rhee, J. “Real-time monitoring system using smartphone-based sensors and NoSQL database for perishable supply chain”, Sustainability 9 (2017) 2073.
  • Ji, G, Hu, L, Tan, KH. “A study on decision-making of food supply chain based on big data”, Journal of Systems Science and Systems Engineering 26 (2017) 183-198.
  • Irani, Z, Sharif, AM, Lee, H, Aktas, E, Topaloğlu, Z, van't Wout, T, Huda, S. “Managing food security through food waste and loss: Small data to big data”, Computers & Operations Research 98 (2018) 367-383.
  • Singh, A, Kumari, S, Malekpoor, H, Mishra, N. “Big data cloud computing framework for low carbon supplier selection in the beef supply chain”, Journal of Cleaner Production 202 (2018) 139-149.
  • Singh, A, Shukla, N, Mishra, N. “Social media data analytics to improve supply chain management in food industries”, Transportation Research Part E 114 (2018) 398-415.
  • Li, X-R, Zhang, J-Y, Huang, Y, Zeng, Z-L, Cheng, DU. “Student food data analysis system”, In: 2018 International Conference on Electrical, Control, Automation and Robotics, Xiamen, China, 16-17 September, (2018) 317-321.
  • Mishra, N, Singh, A. “Use of twitter data for waste minimisation in beef supply chain”, Annals of Operations Research 270 (2018) 337-359.
  • Xu, X, Hou, L, Guo, Z, Wang, J, Li, J. “Developing a Chinese food nutrient data analysis system for precise dietary intake management”, In: International Conference on Big Data, Lecture Notes in Computer Science, vol 10968. Springer, Cham, (2018) 360-366.
  • Parvin, S, Venkatraman, S, de Souza-Daw, T, Fahd, K, Jackson, J, Kaspi, S, Cooley, N, Saleem, K, Gawanmeh, A. “Smart food security system using IoT and big data analytics”, In: 16th International Conference on Information Technology-New Generations, Advances in Intelligent Systems and Computing, vol 800. Springer, Cham, (2019) 253-258.
  • Erl, T, Khattak, W, Buhler, P. “Big data fundamentals: concepts, drivers & techniques”, Prentice Hall Press, 2016.
  • Venkatraman, S, Fahd, K, Kaspi, S, Venkatraman, R. “SQL versus NoSQL movement with big data analytics”, International Journal of Information Technology and Computer Science 12 (2016) 59-66.
  • Kumar, R, Parashar, BB, Gupta, S, Sharma, Y, Gupta, N. “Apache Hadoop, NoSQL and NewSQL Solutions of Big Data”, International Journal of Advance Foundation and Research in Science & Engineering 1 (2014) 28-36.
Toplam 102 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Derlemeler
Yazarlar

Semih Latif İpek 0000-0002-4661-7765

Dilek Göktürk 0000-0002-1195-5828

Yayımlanma Tarihi 15 Ocak 2021
Kabul Tarihi 8 Aralık 2020
Yayımlandığı Sayı Yıl 2021 Cilt: 1 Sayı: 1

Kaynak Göster

IEEE S. L. İpek ve D. Göktürk, “Industry 4.0 Approaches in Food and Bio Industry: Recent Developments and Future Trends”, Adv. Artif. Intell. Res., c. 1, sy. 1, ss. 29–42, 2021.

88x31.png
Advances in Artificial Intelligence Research is an open access journal which means that the content is freely available without charge to the user or his/her institution. All papers are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which allows users to distribute, remix, adapt, and build upon the material in any medium or format for non-commercial purposes only, and only so long as attribution is given to the creator.

Graphic design @ Özden Işıktaş