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Digital Transformation of Logistics Management: A Systematic Literature Mapping on Smart Logistics

Yıl 2020, , 613 - 632, 01.07.2020
https://doi.org/10.17541/optimum.718622

Öz

The concept of “smart”, which emerged with the digital transformation of all sectors, enabled technology based solutions to gain importance. Internet of things, cyber physical systems, 3D printers etc. technologies have become popular with digital transformation. By incorporating these technologies into different areas of life, technology-oriented management processes such as “smart cities”, “smart buildings”, “smart transportation” and “smart energy” have emerged. Smart concept has also shown itself in the field of supply chain and logistics, enabling digital transformation to occur in these areas as well. Despite the increasing studies in this area in recent years, there is not enough information about the current state of the literature and trends. The aim of this study is to present a systematic review of studies on smart logistics and to contribute to researchers who will work in this field by revealing the gaps in the literature. Systematic mapping was used as a method in the study. 67 articles were evaluated in the research using databases of "Web of Science", "Scopus" and "Dergipark". As a result of the review, descriptive findings, advantages brought by smart logistics, and obstacles encountered in practice were revealed.

Kaynakça

  • Anandhi, S., Anitha, R. ve Sureshkumar, V. (2019). IoT enabled RFID authentication and secure object tracking system for smart logistics. Wireless Personal Communications, 104(2), 543–560.
  • Bakan, İ. ve Şekkeli, Z. H. (2018). Endüstri 4.0 etkisiyle lojistik 4.0 Journal of Life Economics, 5(2), 17–36.
  • Barczak, A., Dembińska, I. ve Marzantowicz, Ł. (2019). Analysis of the risk impact of implementing digital innovations for logistics management. Processes, 7(11), 1-16 .
  • Barreto, L., Amaral, A. ve Pereira, T. (2017). Industry 4.0 implications in logistics: an overview. Procedia Manufacturing, 13, 1245–1252.
  • Baykasoğlu, A., Subulan, K., Taşan, A. S. ve Dudaklı, N. (2019). A review of fleet planning problems in single and multimodal transportation systems. Transportmetrica A: Transport Science, 15(2), 631–697.
  • Bilgiç, E., Türkmenoğlu, M. A. ve Koçak, A. (2020). Derleme Makale / Review Article Dijitalleşmenin Lojistik Yönetimi Bağlamında İncelenmesi *. 5(1), 56–69.
  • Bosona, T., Gebresenbet, G. ve Olsson, S. O. (2018). Traceability system for improved utilization of solid biofuel from agricultural prunings. Sustainability (Switzerland), 10(2), 1–12.
  • Bosona, T., Gebresenbet, G., Olsson, S. O., Garcia, D. ve Germer, S. (2018). Evaluation of a smart system for the optimization of logistics performance of a pruning biomass value chain. Applied Sciences (Switzerland), 8(10), 1-18.
  • Bukowski, L. (2019). Logistics decision-making based on the maturity assessment of imperfect knowledge. Engineering Management in Production and Services, 11(4), 65–79.
  • Büyüközkan, G. (2012). An integrated fuzzy multi-criteria group decision-making approach for green supplier evaluation. International Journal of Production Research, 50(11), 2892–2909.
  • Chen, H., Ma, G., Wang, Z., Wang, Q. ve Yu, J. (2018). MAC: Missing tag iceberg queries for multi-category RFID systems. IEEE Transactions on Vehicular Technology, 67(10), 9947–9958.
  • Chen, J., Huang, T., Xie, X., Lee, P. T. W. ve Hua, C. (2019). Constructing governance framework of a green and smart port. Journal of Marine Science and Engineering, 7(4), 1-17.
  • Cho, S. ve Kim, J. (2017). Smart logistics model on internet of things environment. Advanced Science Letters, 23(3), 1599–1602.
  • Chong, Z. Q., Low, C. Y., Mohammad, U., Rahman, R. A. ve Shaari, M. S. B. (2018). Conception of logistics management system for smart factory. International Journal of Engineering and Technology(UAE), 7(4), 126–131.
  • Cimini, C., Lagorio, A., Pirola, F. ve Pinto, R. (2019). Exploring human factors in Logistics 4.0: Empirical evidence from a case study. IFAC-PapersOnLine, 52(13), 2183–2188.
  • Cui, W. (2017). An optimization model for storage robot adaptive positioning system (SR-APS) and simulation analysis. Boletin Tecnico/Technical Bulletin, 55(16), 484–491.
  • Delfmann, W., Ten Hompel, M., Kersten, W., Schmidt, T. ve Stölzle, W. (2018). Logistics as a science: Central research questions in the era of the fourth industrial revolution. Logistics Research, 11(9), 1–13.
  • Ellefsen, A. P. T., Oleśków-Szłapka, J., Pawłowski, G. ve Toboła, A. (2019). Striving for excellence in ai implementation: Ai maturity model framework and preliminary research results. Logforum, 15(3), 363–376.
  • Erkollar, A. ve Oberer, B. (2017). Flextrans 4.0–Smart Logistics for Smart Cities. SIGMA Journal of Engineering and Natural Sciences, 8(4), 269–277.
  • Facchini, F., Olésków-Szłapka, J., Ranieri, L. ve Urbinati, A. (2020). A maturity model for logistics 4.0: An empirical analysis and a roadmap for future research. Sustainability (Switzerland), 12(1), 1–18.
  • Frazzon, E. M., Rodriguez, C. M. T., Pereira, M. M., Pires, M. C. ve Uhlmann, I. (2019). Towards Supply Chain Management 4.0. Brazilian Journal of Operations ve Production Management, 16(2), 180–191.
  • Frontoni, E., Rosetti, R., Paolanti, M. ve Alves, A. C. (2020). HATS project for lean and smart global logistic: A shipping company case study. Manufacturing Letters, 23, 71–74.
  • Gebresenbet, G., Bosona, T., Olsson, S. O. ve Garcia, D. (2018). Smart system for the optimization of logistics performance of the pruning biomass value chain. Applied Sciences (Switzerland), 8(7), 1–17.
  • Hasan, M. M., Jiang, D., Ullah, A. M. M. S. ve Noor-E-Alam, M. (2020). Resilient supplier selection in logistics 4.0 with heterogeneous information. Expert Systems with Applications, 139, 1-24.
  • Hilpert, H., Kranz, J. ve Schumann, M. (2013). Leveraging green is in logistics: Developing an artifact for greenhouse gas emission tracking. Business and Information Systems Engineering, 5(5), 315–325.
  • Hsiao, W. H. ve Chang, T. S. (2019). Exploring the opportunity of digital voice assistants in the logistics and transportation industry. Journal of Enterprise Information Management, 32(6), 1034–1050.
  • Jabbar, S., Khan, M., Silva, B. N. ve Han, K. (2018). A REST-based industrial web of things’ framework for smart warehousing. Journal of Supercomputing, 74(9), 4419–4433.
  • Karagöz, B. ve Bumin Doyduk, H. B. (2020). Lojistik 4.0 uygulamaları ve lojistik firmalarının bakış açısı. İnsan ve İnsan Dergisi, 7(23), 37–51.
  • Kodym, O., Kubáč, L. ve Kavka, L. (2020). Risks associated with Logistics 4.0 and their minimization using Blockchain. Open Engineering, 10(1), 74–85.
  • Krykavskyy, Y., Pokhylchenko, O. ve Hayvanovych, N. (2019). Supply chain development drivers in industry 4.0 in Ukrainian enterprises. Oeconomia Copernicana, 10(2), 273–290.
  • La Scalia, G., Aiello, G., Miceli, A., Nasca, A., Alfonzo, A. ve Settanni, L. (2016). Effect of Vibration on the Quality of Strawberry Fruits Caused by Simulated Transport. Journal of Food Process Engineering, 39(2), 140–156.
  • La Scalia, G., Nasca, A., Corona, O., Settanni, L. ve Micale, R. (2017). An Innovative Shelf Life Model Based on Smart Logistic Unit for an Efficient Management of the Perishable Food Supply Chain. Journal of Food Process Engineering, 40(1), 1-13.
  • Lee, C. K. M., Lin, B., Ng, K. K. H., Lv, Y. ve Tai, W. C. (2019). Smart robotic mobile fulfillment system with dynamic conflict-free strategies considering cyber-physical integration. Advanced Engineering Informatics, 42, 1-12.
  • Lee, C. K. M., Lv, Y., Ng, K. K. H., Ho, W., ve Choy, K. L. (2018). Design and application of internet of things-based warehouse management system for smart logistics. International Journal of Production Research, 56(8), 2753–2768.
  • Lee, S., Kang, Y. ve Prabhu, V. V. (2016). Smart logistics: distributed control of green crowdsourced parcel services. International Journal of Production Research, 54(23), 6956–6968.
  • Levina, E. ve Razumova, Y. (2019). Digitalization of the transport and logistics market: integration of information systems. Russian experience in introducing digital technologies in the organization of logistics processes. Revista Amazonía Investiga, 8(22), 269–279.
  • Liao, Y., Deschamps, F., Loures, E. de F. R. ve Ramos, L. F. P. (2017). Past, present and future of Industry 4.0 - a systematic literature review and research agenda proposal. International Journal of Production Research, 55(12), 3609–3629.
  • Lin, N., Shi, Y., Zhang, T. ve Wang, X. (2019). An Effective Order-Aware Hybrid Genetic Algorithm for Capacitated Vehicle Routing Problems in Internet of Things. IEEE Access, 7, 86102–86114.
  • Luo, C. ve Fu, Q. (2017). Smart logistics monitoring system for hazardous chemicals based on wireless sensor technology. Chemical Engineering Transactions, 62, 787–792.
  • La Scalia, G., Micale, R., Certa, A., ve Enea, M. (2015). Ranking of shelf life models based on smart logistic unit using the ELECTRE III method. International Journal of Applied Engineering Research, 10(17), 38009–38015.
  • Ma, X., Wang, J., Bai, Q. ve Wang, S. (2020). Optimization of a three-echelon cold chain considering freshness-keeping efforts under cap-and-trade regulation in Industry 4.0. International Journal of Production Economics, 220,1-16.
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  • Ranieri, L., Digiesi, S., Silvestri, B. ve Roccotelli, M. (2018). A review of last mile logistics innovations in an externalities cost reduction vision. Sustainability (Switzerland), 10(3), 1–18.
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Lojistik Yönetiminin Dijital Dönüşümü: Akıllı Lojistik Üzerine Sistematik Literatür Haritalaması

Yıl 2020, , 613 - 632, 01.07.2020
https://doi.org/10.17541/optimum.718622

Öz

Tüm sektörlerin dijital dönüşümüyle birlikte ortaya çıkan “akıllı” kavramı teknolojiye dayalı çözümlerin önem kazanmasını sağlamıştır. Akıllı fabrikalarla birlikte kullanılan nesnelerin interneti, siber fiziksel sistemler, 3D yazıcılar vb. teknolojilerin hayatın farklı alanlarına dâhil edilmesiyle “akıllı şehirler”, “akıllı binalar”, “akıllı ulaşım”, “akıllı enerji” gibi teknoloji odaklı yönetim süreçleri ortaya çıkmıştır. Akıllılık kavramı, tedarik zinciri ve lojistik alanında da kendini göstererek dijital dönüşümün bu alanlarda da ortaya çıkmasını sağlamıştır. Son yıllarda bu alana yönelik çalışmaların artmasına rağmen literatürün mevcut durumu ve yönelimler hakkında yeterli düzeyde bilgi bulunmamaktadır. Bu çalışmanın amacı akıllı lojistikle ilgili yapılan çalışmaların sistematik bir derlemesini sunmak ve literatürdeki boşlukları ortaya koyarak bu alanda çalışacak araştırmacılara katkı sağlamaktır. Çalışmada yöntem olarak sistematik haritalama kullanılmıştır. “Web of Science”, “Scopus” ve “Dergipark” veri tabanları kullanılarak yapılan araştırmada 67 makale değerlendirilmiştir. İnceleme sonucunda akıllı lojistikle ilgili yapılan çalışmalara yönelik tanımlayıcı bulgular, akıllı lojistiğin getirdiği avantajlar, uygulamada karşılaşılan engeller ortaya konulmuştur.

Kaynakça

  • Anandhi, S., Anitha, R. ve Sureshkumar, V. (2019). IoT enabled RFID authentication and secure object tracking system for smart logistics. Wireless Personal Communications, 104(2), 543–560.
  • Bakan, İ. ve Şekkeli, Z. H. (2018). Endüstri 4.0 etkisiyle lojistik 4.0 Journal of Life Economics, 5(2), 17–36.
  • Barczak, A., Dembińska, I. ve Marzantowicz, Ł. (2019). Analysis of the risk impact of implementing digital innovations for logistics management. Processes, 7(11), 1-16 .
  • Barreto, L., Amaral, A. ve Pereira, T. (2017). Industry 4.0 implications in logistics: an overview. Procedia Manufacturing, 13, 1245–1252.
  • Baykasoğlu, A., Subulan, K., Taşan, A. S. ve Dudaklı, N. (2019). A review of fleet planning problems in single and multimodal transportation systems. Transportmetrica A: Transport Science, 15(2), 631–697.
  • Bilgiç, E., Türkmenoğlu, M. A. ve Koçak, A. (2020). Derleme Makale / Review Article Dijitalleşmenin Lojistik Yönetimi Bağlamında İncelenmesi *. 5(1), 56–69.
  • Bosona, T., Gebresenbet, G. ve Olsson, S. O. (2018). Traceability system for improved utilization of solid biofuel from agricultural prunings. Sustainability (Switzerland), 10(2), 1–12.
  • Bosona, T., Gebresenbet, G., Olsson, S. O., Garcia, D. ve Germer, S. (2018). Evaluation of a smart system for the optimization of logistics performance of a pruning biomass value chain. Applied Sciences (Switzerland), 8(10), 1-18.
  • Bukowski, L. (2019). Logistics decision-making based on the maturity assessment of imperfect knowledge. Engineering Management in Production and Services, 11(4), 65–79.
  • Büyüközkan, G. (2012). An integrated fuzzy multi-criteria group decision-making approach for green supplier evaluation. International Journal of Production Research, 50(11), 2892–2909.
  • Chen, H., Ma, G., Wang, Z., Wang, Q. ve Yu, J. (2018). MAC: Missing tag iceberg queries for multi-category RFID systems. IEEE Transactions on Vehicular Technology, 67(10), 9947–9958.
  • Chen, J., Huang, T., Xie, X., Lee, P. T. W. ve Hua, C. (2019). Constructing governance framework of a green and smart port. Journal of Marine Science and Engineering, 7(4), 1-17.
  • Cho, S. ve Kim, J. (2017). Smart logistics model on internet of things environment. Advanced Science Letters, 23(3), 1599–1602.
  • Chong, Z. Q., Low, C. Y., Mohammad, U., Rahman, R. A. ve Shaari, M. S. B. (2018). Conception of logistics management system for smart factory. International Journal of Engineering and Technology(UAE), 7(4), 126–131.
  • Cimini, C., Lagorio, A., Pirola, F. ve Pinto, R. (2019). Exploring human factors in Logistics 4.0: Empirical evidence from a case study. IFAC-PapersOnLine, 52(13), 2183–2188.
  • Cui, W. (2017). An optimization model for storage robot adaptive positioning system (SR-APS) and simulation analysis. Boletin Tecnico/Technical Bulletin, 55(16), 484–491.
  • Delfmann, W., Ten Hompel, M., Kersten, W., Schmidt, T. ve Stölzle, W. (2018). Logistics as a science: Central research questions in the era of the fourth industrial revolution. Logistics Research, 11(9), 1–13.
  • Ellefsen, A. P. T., Oleśków-Szłapka, J., Pawłowski, G. ve Toboła, A. (2019). Striving for excellence in ai implementation: Ai maturity model framework and preliminary research results. Logforum, 15(3), 363–376.
  • Erkollar, A. ve Oberer, B. (2017). Flextrans 4.0–Smart Logistics for Smart Cities. SIGMA Journal of Engineering and Natural Sciences, 8(4), 269–277.
  • Facchini, F., Olésków-Szłapka, J., Ranieri, L. ve Urbinati, A. (2020). A maturity model for logistics 4.0: An empirical analysis and a roadmap for future research. Sustainability (Switzerland), 12(1), 1–18.
  • Frazzon, E. M., Rodriguez, C. M. T., Pereira, M. M., Pires, M. C. ve Uhlmann, I. (2019). Towards Supply Chain Management 4.0. Brazilian Journal of Operations ve Production Management, 16(2), 180–191.
  • Frontoni, E., Rosetti, R., Paolanti, M. ve Alves, A. C. (2020). HATS project for lean and smart global logistic: A shipping company case study. Manufacturing Letters, 23, 71–74.
  • Gebresenbet, G., Bosona, T., Olsson, S. O. ve Garcia, D. (2018). Smart system for the optimization of logistics performance of the pruning biomass value chain. Applied Sciences (Switzerland), 8(7), 1–17.
  • Hasan, M. M., Jiang, D., Ullah, A. M. M. S. ve Noor-E-Alam, M. (2020). Resilient supplier selection in logistics 4.0 with heterogeneous information. Expert Systems with Applications, 139, 1-24.
  • Hilpert, H., Kranz, J. ve Schumann, M. (2013). Leveraging green is in logistics: Developing an artifact for greenhouse gas emission tracking. Business and Information Systems Engineering, 5(5), 315–325.
  • Hsiao, W. H. ve Chang, T. S. (2019). Exploring the opportunity of digital voice assistants in the logistics and transportation industry. Journal of Enterprise Information Management, 32(6), 1034–1050.
  • Jabbar, S., Khan, M., Silva, B. N. ve Han, K. (2018). A REST-based industrial web of things’ framework for smart warehousing. Journal of Supercomputing, 74(9), 4419–4433.
  • Karagöz, B. ve Bumin Doyduk, H. B. (2020). Lojistik 4.0 uygulamaları ve lojistik firmalarının bakış açısı. İnsan ve İnsan Dergisi, 7(23), 37–51.
  • Kodym, O., Kubáč, L. ve Kavka, L. (2020). Risks associated with Logistics 4.0 and their minimization using Blockchain. Open Engineering, 10(1), 74–85.
  • Krykavskyy, Y., Pokhylchenko, O. ve Hayvanovych, N. (2019). Supply chain development drivers in industry 4.0 in Ukrainian enterprises. Oeconomia Copernicana, 10(2), 273–290.
  • La Scalia, G., Aiello, G., Miceli, A., Nasca, A., Alfonzo, A. ve Settanni, L. (2016). Effect of Vibration on the Quality of Strawberry Fruits Caused by Simulated Transport. Journal of Food Process Engineering, 39(2), 140–156.
  • La Scalia, G., Nasca, A., Corona, O., Settanni, L. ve Micale, R. (2017). An Innovative Shelf Life Model Based on Smart Logistic Unit for an Efficient Management of the Perishable Food Supply Chain. Journal of Food Process Engineering, 40(1), 1-13.
  • Lee, C. K. M., Lin, B., Ng, K. K. H., Lv, Y. ve Tai, W. C. (2019). Smart robotic mobile fulfillment system with dynamic conflict-free strategies considering cyber-physical integration. Advanced Engineering Informatics, 42, 1-12.
  • Lee, C. K. M., Lv, Y., Ng, K. K. H., Ho, W., ve Choy, K. L. (2018). Design and application of internet of things-based warehouse management system for smart logistics. International Journal of Production Research, 56(8), 2753–2768.
  • Lee, S., Kang, Y. ve Prabhu, V. V. (2016). Smart logistics: distributed control of green crowdsourced parcel services. International Journal of Production Research, 54(23), 6956–6968.
  • Levina, E. ve Razumova, Y. (2019). Digitalization of the transport and logistics market: integration of information systems. Russian experience in introducing digital technologies in the organization of logistics processes. Revista Amazonía Investiga, 8(22), 269–279.
  • Liao, Y., Deschamps, F., Loures, E. de F. R. ve Ramos, L. F. P. (2017). Past, present and future of Industry 4.0 - a systematic literature review and research agenda proposal. International Journal of Production Research, 55(12), 3609–3629.
  • Lin, N., Shi, Y., Zhang, T. ve Wang, X. (2019). An Effective Order-Aware Hybrid Genetic Algorithm for Capacitated Vehicle Routing Problems in Internet of Things. IEEE Access, 7, 86102–86114.
  • Luo, C. ve Fu, Q. (2017). Smart logistics monitoring system for hazardous chemicals based on wireless sensor technology. Chemical Engineering Transactions, 62, 787–792.
  • La Scalia, G., Micale, R., Certa, A., ve Enea, M. (2015). Ranking of shelf life models based on smart logistic unit using the ELECTRE III method. International Journal of Applied Engineering Research, 10(17), 38009–38015.
  • Ma, X., Wang, J., Bai, Q. ve Wang, S. (2020). Optimization of a three-echelon cold chain considering freshness-keeping efforts under cap-and-trade regulation in Industry 4.0. International Journal of Production Economics, 220,1-16.
  • Müller, J. M. ve Voigt, K. I. (2018). The Impact of Industry 4.0 on Supply Chains in Engineer-to-Order Industries - An Exploratory Case Study. IFAC-PapersOnLine, 51(11), 122–127.
  • Özdemir, A. ve Özgüner, M. (2018). Endüstri̇ 4.0 ve loji̇sti̇k sektörüne etki̇leri̇: loji̇sti̇k 4.0. İşletme ve İktisat Çalışmaları Dergisi, 6(4), 39–47.
  • Öztemel, E. ve Gürsev, S. (2018). Lojistik yönetimi üzerinde endüstri 4.0 etkileri ve stratejik planlaması. Marmara Fen Bilimleri Dergisi, 2, 145-154.
  • Pan, T. (2012). Value chain analysis method of smart logistics using fuzzy theory. Information Technology Journal, 11(4), 441–445.
  • Petersen, K., Feldt, R., Mujitaba, S. ve Mattsson, M. (2008). Systematic mapping studies in software engineering. Proceedings of the 12th International Conference on Evaluation and Assessment in Software Engineering, 68–77.
  • Poenicke, O., Groneberg, M. ve Richter, K. (2019). Method for the planning of IoT use cases in Smart Logistics Zones. IFAC-PapersOnLine, 52(13), 2449–2454.
  • Rakyta, M., Fusko, M., Herčko, J., Závodská, L. ve Zrnić, N. (2016). Proactive approach to smart maintenance and logistics as a auxiliary and service processes in a company. Journal of Applied Engineering Science, 14(4), 433–442.
  • Ranieri, L., Digiesi, S., Silvestri, B. ve Roccotelli, M. (2018). A review of last mile logistics innovations in an externalities cost reduction vision. Sustainability (Switzerland), 10(3), 1–18.
  • Samir, T., Abdelsamad, C., Aziz, S. ve Jamila, E. (2019). Big data research on the green internet of things in new smart-logistics. International Journal of Innovative Technology and Exploring Engineering, 8(9 Special Issue 2), 534–537.
  • Sarkar, B., Guchhait, R., Sarkar, M. ve Cárdenas-Barrón, L. E. (2019). How does an industry manage the optimum cash flow within a smart production system with the carbon footprint and carbon emission under logistics framework? International Journal of Production Economics, 213(March), 243–257.
  • Schumann, M., Leye, S. ve Popov, A. (2015). Virtual Reality Models and Digital Engineering Solutions for Technology Transfer. Applied Computer Systems, 17(1), 27–33.
  • Sciortino, R., Micale, R., Enea, M. ve La Scalia, G. (2016). A webGIS-based system for real time shelf life prediction. Computers and Electronics in Agriculture, 127, 451–459.
  • Sicari, S., Rizzardi, A. ve Coen-Porisini, A. (2019). Smart transport and logistics: A Node-RED implementation. Internet Technology Letters, 2(2), e88.
  • Sivamani, S., Kwak, K. ve Cho, Y. (2014). A study on intelligent user-centric logistics service model using ontology. Journal of Applied Mathematics, 2014.
  • Stachowiak, A., Adamczak, M., Hadas, L., Domanski, R., ve Cyplik, P. (2019). Knowledge Absorption Capacity as a Factor for Increasing Logistics 4.0 Maturity. Applied Sciences, (9), 1–11.
  • Strandhagen, J. O., Vallandingham, L. R., Fragapane, G., Strandhagen, J. W., Stangeland, A. B. H. ve Sharma, N. (2017). Logistics 4.0 and emerging sustainable business models. Advances in Manufacturing, 5(4), 359–369.
  • Su, Y. ve Fan, Q. M. (2020). The Green Vehicle Routing Problem from a Smart Logistics Perspective. IEEE Access, 8(2), 839–846.
  • Sutawijaya, A. H., ve Nawangsari, L. C. (2020). What is the impact of industry 4.0 to green supply chain? Journal of Environmental Treatment Techniques, 8(1), 207–213.
  • Tatham, P., Stadler, F., Murray, A. ve Shaban, R. Z. (2017). Flying maggots: a smart logistic solution to an enduring medical challenge. Journal of Humanitarian Logistics and Supply Chain Management, 7(2), 172–193.
  • Teucke, M., Broda, E., Börold, A., ve Freitag, M. (2018). Using sensor-based quality data in automotive supply chains. Machines, 6(4), 1–22.
  • Trab, S., Bajic, E., Zouinkhi, A., Thomas, A., Abdelkrim, M. N., Chekir, H. ve Ltaief, R. H. (2017). A communicating object’s approach for smart logistics and safety issues in warehouses. Concurrent Engineering Research and Applications, 25(1), 53–67.
  • Trappey, A. J. C., Trappey, C. V., Fan, C. Y., Hsu, A. P. T., Li, X. K. ve Lee, I. J. Y. (2017). IoT patent roadmap for smart logistic service provision in the context of Industry 4.0. Journal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers,Series A/Chung-Kuo Kung Ch’eng Hsuch K’an, 40(7), 593–602.
  • Vasin, S., Gamidullaeva, L., Shkarupeta, E., Palatkin, I. ve Vasina, T. (2018). Emerging trends and opportunities for industry 4.0 development in Russia. European Research Studies Journal, 21(3), 63–76.
  • Webster, J. ve Watson, R. T. (2002). Analyzıng the past to prepare for the future: wrıtıng a lıterature revıew. MIS Quarterly, 26(2), 13–23.
  • Wen, J., He, L. ve Zhu, F. (2018). Swarm Robotics Control and Communications: Imminent Challenges for Next Generation Smart Logistics. IEEE Communications Magazine, 56(7), 102–107.
  • Winkelhaus, S. ve Grosse, E. H. (2020). Logistics 4.0: a systematic review towards a new logistics system. International Journal of Production Research, 58(1), 18–43.
  • Xie, G. (2018). Smart logistics management of hazardous chemicals based on internet of things. Chemical Engineering Transactions, 67, 85–90.
  • Xu, J., Jiao, Y. ve Yuan, Y. (2013). Constructing and the related key techniques for the Smart Logistics Information Platform of Yiwu Port. Journal of Theoretical and Applied Information Technology, 51(3), 482–488.
  • Yavas, V. ve Ozkan-Ozen, Y. D. (2020). Logistics centers in the new industrial era: A proposed framework for logistics center 4.0. Transportation Research Part E: Logistics and Transportation Review, 135
  • Yılmaz, Ü. ve Duman, B. (2019). Lojistik 4.0 Kavramına Genel Bir Bakış: Geçmişten Bugüne Gelişim ve Değişimi. Bilecik Şeyh Edebali Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 186–200.
  • Yu, Y. W., Jung, H. ve Bae, H. (2015). Integrated GIS-based logistics process monitoring framework with convenient work processing environment for smart logistics. ETRI Journal, 37(2), 306–316.
  • Zhang, A., Venkatesh, V. G., Liu, Y., Wan, M., Qu, T. ve Huisingh, D. (2019). Barriers to smart waste management for a circular economy in China. Journal of Cleaner Production, 24.
  • Zhang, N. (2018). Smart logistics path for cyber-physical systems with internet of things. IEEE Access, 6, 70808–70819.
  • Zhou, W., Piramuthu, S., Chu, F. ve Chu, C. (2017). RFID-enabled flexible warehousing. Decision Support Systems, 98, 99–112.
Toplam 75 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular İşletme
Bölüm Makaleler
Yazarlar

Halil Karlı 0000-0002-5366-9774

Mehmet Tanyaş 0000-0001-8934-3787

Yayımlanma Tarihi 1 Temmuz 2020
Gönderilme Tarihi 12 Nisan 2020
Yayımlandığı Sayı Yıl 2020

Kaynak Göster

APA Karlı, H., & Tanyaş, M. (2020). Lojistik Yönetiminin Dijital Dönüşümü: Akıllı Lojistik Üzerine Sistematik Literatür Haritalaması. Optimum Ekonomi Ve Yönetim Bilimleri Dergisi, 7(2), 613-632. https://doi.org/10.17541/optimum.718622
AMA Karlı H, Tanyaş M. Lojistik Yönetiminin Dijital Dönüşümü: Akıllı Lojistik Üzerine Sistematik Literatür Haritalaması. OEYBD. Temmuz 2020;7(2):613-632. doi:10.17541/optimum.718622
Chicago Karlı, Halil, ve Mehmet Tanyaş. “Lojistik Yönetiminin Dijital Dönüşümü: Akıllı Lojistik Üzerine Sistematik Literatür Haritalaması”. Optimum Ekonomi Ve Yönetim Bilimleri Dergisi 7, sy. 2 (Temmuz 2020): 613-32. https://doi.org/10.17541/optimum.718622.
EndNote Karlı H, Tanyaş M (01 Temmuz 2020) Lojistik Yönetiminin Dijital Dönüşümü: Akıllı Lojistik Üzerine Sistematik Literatür Haritalaması. Optimum Ekonomi ve Yönetim Bilimleri Dergisi 7 2 613–632.
IEEE H. Karlı ve M. Tanyaş, “Lojistik Yönetiminin Dijital Dönüşümü: Akıllı Lojistik Üzerine Sistematik Literatür Haritalaması”, OEYBD, c. 7, sy. 2, ss. 613–632, 2020, doi: 10.17541/optimum.718622.
ISNAD Karlı, Halil - Tanyaş, Mehmet. “Lojistik Yönetiminin Dijital Dönüşümü: Akıllı Lojistik Üzerine Sistematik Literatür Haritalaması”. Optimum Ekonomi ve Yönetim Bilimleri Dergisi 7/2 (Temmuz 2020), 613-632. https://doi.org/10.17541/optimum.718622.
JAMA Karlı H, Tanyaş M. Lojistik Yönetiminin Dijital Dönüşümü: Akıllı Lojistik Üzerine Sistematik Literatür Haritalaması. OEYBD. 2020;7:613–632.
MLA Karlı, Halil ve Mehmet Tanyaş. “Lojistik Yönetiminin Dijital Dönüşümü: Akıllı Lojistik Üzerine Sistematik Literatür Haritalaması”. Optimum Ekonomi Ve Yönetim Bilimleri Dergisi, c. 7, sy. 2, 2020, ss. 613-32, doi:10.17541/optimum.718622.
Vancouver Karlı H, Tanyaş M. Lojistik Yönetiminin Dijital Dönüşümü: Akıllı Lojistik Üzerine Sistematik Literatür Haritalaması. OEYBD. 2020;7(2):613-32.

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