IDEAS home Printed from https://ideas.repec.org/a/gam/jscscx/v8y2019i3p84-d211658.html
   My bibliography  Save this article

Impacts of Internet of Things on Supply Chains: A Framework for Warehousing

Author

Listed:
  • Noha Mostafa

    (Department of Industrial Engineering, Zagazig University, Sharkia 44519, Egypt)

  • Walaa Hamdy

    (Department of Industrial Engineering, Zagazig University, Sharkia 44519, Egypt)

  • Hisham Alawady

    (Department of Industrial Engineering, Zagazig University, Sharkia 44519, Egypt)

Abstract

The emergence of new digital industrial technology, known as Industry 4.0, has a positive impact on the performance of the supply chain. Warehouses are a basic part of the supply chain; they are used to store products and manage the inventory level. A sound warehouse management system can lead to cost reduction and also can improve customer satisfaction. Traditional warehouse management models have become less efficient and unsuitable for today’s increasing market requirements. For the past decades, information and communication technology has been used for warehouse management. This paper presents a new approach for warehouse management by utilizing one of the main pillars of Industry 4.0, the Internet of Things. This new technology enables the connection of several objects through collecting real-time data and sharing them; the resulting information can then be used to support automated decision-making. The architecture of this application is illustrated and its potential benefits are overviewed. A framework is proposed to implement this approach in warehousing management, which can help in providing real-time visibility of everything in the warehouse, increasing speed and efficiency, and preventing inventory shortage and counterfeiting. This proposal gives an effective roadmap for enterprises to improve their warehouses by using the Internet of Things.

Suggested Citation

  • Noha Mostafa & Walaa Hamdy & Hisham Alawady, 2019. "Impacts of Internet of Things on Supply Chains: A Framework for Warehousing," Social Sciences, MDPI, vol. 8(3), pages 1-10, March.
    • Handle: RePEc:gam:jscscx:v:8:y:2019:i:3:p:84-:d:211658
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2076-0760/8/3/84/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2076-0760/8/3/84/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Paul J. Reaidy & A. Gunasekaran & A. Spalanzani, 2015. "Bottom-Up Approach based on Internet of things for Order Fulfillment in a Collaborative Warehousing Environment," Post-Print halshs-01374073, HAL.
    2. Muhammad Imran & Waseem ul Hameed & Adnan ul Haque, 2018. "Influence of Industry 4.0 on the Production and Service Sectors in Pakistan: Evidence from Textile and Logistics Industries," Social Sciences, MDPI, vol. 7(12), pages 1-21, November.
    3. King Lun Choy & Angappa Gunasekaran & Hoi Yan Lam & Ka Ho Chow & Yick Chi Tsim & Tsz Wing Ng & Ying Kei Tse & Xiao Ang Lu, 2014. "Impact of information technology on the performance of logistics industry: the case of Hong Kong and Pearl Delta region," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(6), pages 904-916, June.
    4. Ng, Irene & Scharf, Kimberley & Pogrebna, Ganna & Maull, Roger, 2015. "Contextual variety, Internet-of-Things and the choice of tailoring over platform: Mass customisation strategy in supply chain management," International Journal of Production Economics, Elsevier, vol. 159(C), pages 76-87.
    5. Gyorgy Kovacs & Sebastian Kot, 2016. "New Logistics And Production Trends As The Effect Of Global Economy Changes," Polish Journal of Management Studies, Czestochowa Technical University, Department of Management, vol. 14(2), pages 115-126, December.
    6. Reaidy, Paul J. & Gunasekaran, Angappa & Spalanzani, Alain, 2015. "Bottom-up approach based on Internet of Things for order fulfillment in a collaborative warehousing environment," International Journal of Production Economics, Elsevier, vol. 159(C), pages 29-40.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rabab Benotsmane & György Kovács & László Dudás, 2019. "Economic, Social Impacts and Operation of Smart Factories in Industry 4.0 Focusing on Simulation and Artificial Intelligence of Collaborating Robots," Social Sciences, MDPI, vol. 8(5), pages 1-20, May.
    2. Sharifpour Hojatallah & Ghaseminezhad Yaser & Hashemi-Tabatabaei Mohammad & Amiri Maghsoud, 2022. "Investigating cause-and-effect relationships between supply chain 4.0 technologies," Engineering Management in Production and Services, Sciendo, vol. 14(4), pages 22-46, December.
    3. Nikolay Dragomirov, 2022. "Digital Transformation Perspectives in Warehousing – Initial Steps and Projections," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 6, pages 133-153.
    4. Halawa, Farouq & Dauod, Husam & Lee, In Gyu & Li, Yinglei & Yoon, Sang Won & Chung, Sung Hoon, 2020. "Introduction of a real time location system to enhance the warehouse safety and operational efficiency," International Journal of Production Economics, Elsevier, vol. 224(C).
    5. Dalia Perkumienė & Kristina Ratautaitė & Rasa Pranskūnienė, 2022. "Innovative Solutions and Challenges for the Improvement of Storage Processes," Sustainability, MDPI, vol. 14(17), pages 1-21, August.
    6. Ahmed Azab & Jaehyun Park & Noha A. Mostafa, 2021. "Smart Mobile Application for Short-Haul Cargo Transportation," Logistics, MDPI, vol. 5(2), pages 1-14, June.
    7. Todor Todorov, 2019. "Probability Density Functions for Travel Times in One-Dimensional and Taxicab Service Zones Parameterized by the Maximal Travel Duration of the S/R Machine Within the Zone," Logistics, MDPI, vol. 3(3), pages 1-15, July.
    8. Daria Minashkina & Ari Happonen, 2023. "Warehouse Management Systems for Social and Environmental Sustainability: A Systematic Literature Review and Bibliometric Analysis," Logistics, MDPI, vol. 7(3), pages 1-33, July.
    9. S.P. Petrov & M.P. Maslov & A.I. Karpovich, 2020. "Influence of Expenditures in the Development of the Digital Economy on the Volume of Russia's GDP," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 19(4), pages 419-440.
    10. Govindan, Kannan & Kannan, Devika & Jørgensen, Thomas Ballegård & Nielsen, Tim Straarup, 2022. "Supply Chain 4.0 performance measurement: A systematic literature review, framework development, and empirical evidence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    11. Agnieszka Kuś & Paula Pypłacz, 2019. "The Importance of Information Management in the Context of Industry 4.0: Evidence from the Kuyavian-Pomeranian Forbes Diamonds," Social Sciences, MDPI, vol. 8(6), pages 1-13, June.
    12. Anna Borucka, 2023. "Seasonal Methods of Demand Forecasting in the Supply Chain as Support for the Company’s Sustainable Growth," Sustainability, MDPI, vol. 15(9), pages 1-21, April.
    13. Catherine Maware & David M. Parsley, 2023. "Can Industry 4.0 Assist Lean Manufacturing in Attaining Sustainability over Time? Evidence from the US Organizations," Sustainability, MDPI, vol. 15(3), pages 1-23, January.
    14. Lulu Xin & Shuai Lang & Arunodaya Raj Mishra, 2022. "RETRACTED ARTICLE: Evaluate the challenges of sustainable supply chain 4.0 implementation under the circular economy concept using new decision making approach," Operations Management Research, Springer, vol. 15(3), pages 773-792, December.
    15. Yan Dong & Sayed Fayaz Ahmad & Muhammad Irshad & Muna Al-Razgan & Yasser A. Ali & Emad Marous Awwad, 2023. "The Digitalization Paradigm: Impacts on Agri-Food Supply Chain Profitability and Sustainability," Sustainability, MDPI, vol. 15(21), pages 1-27, November.
    16. Ricardo Moreira da Silva & Guilherme Francisco Frederico & Jose Arturo Garza-Reyes, 2023. "Logistics Service Providers and Industry 4.0: A Systematic Literature Review," Logistics, MDPI, vol. 7(1), pages 1-26, February.
    17. Jérémie Katembo Kavota & Luc Cassivi & Pierre-Majorique Léger, 2024. "A Systematic Review of Strategic Supply Chain Challenges and Teaching Strategies," Logistics, MDPI, vol. 8(1), pages 1-19, February.
    18. Agata Sudolska & Andrzej Lis & Róża Błaś, 2019. "Cloud Computing Research Profiling: Mapping Scholarly Community and Identifying Thematic Boundaries of the Field," Social Sciences, MDPI, vol. 8(4), pages 1-20, April.
    19. Lining Xing & Yuanyuan Liu & Haiyan Li & Chin-Chia Wu & Win-Chin Lin & Xin Chen, 2020. "A Novel Tabu Search Algorithm for Multi-AGV Routing Problem," Mathematics, MDPI, vol. 8(2), pages 1-16, February.
    20. Sara Pourmorshed & Susanne Durst, 2022. "The Usefulness of the Digitalization Integration Framework for Developing Digital Supply Chains in SMEs," Sustainability, MDPI, vol. 14(21), pages 1-17, November.
    21. Gláucya Daú & Annibal Scavarda & Luiz Felipe Scavarda & Vivianne Julianelli Taveira Portugal, 2019. "The Healthcare Sustainable Supply Chain 4.0: The Circular Economy Transition Conceptual Framework with the Corporate Social Responsibility Mirror," Sustainability, MDPI, vol. 11(12), pages 1-19, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Abirami Raja Santhi & Padmakumar Muthuswamy, 2022. "Pandemic, War, Natural Calamities, and Sustainability: Industry 4.0 Technologies to Overcome Traditional and Contemporary Supply Chain Challenges," Logistics, MDPI, vol. 6(4), pages 1-32, November.
    2. Lu, Yang & Papagiannidis, Savvas & Alamanos, Eleftherios, 2018. "Internet of Things: A systematic review of the business literature from the user and organisational perspectives," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 285-297.
    3. Yen Sheng Tsai & Wei-Hsi Hung, 2023. "A low-cost intelligent tracking system for clothing manufacturers," Journal of Intelligent Manufacturing, Springer, vol. 34(2), pages 473-491, February.
    4. Akhtar, Pervaiz & Khan, Zaheer & Tarba, Shlomo & Jayawickrama, Uchitha, 2018. "The Internet of Things, dynamic data and information processing capabilities, and operational agility," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 307-316.
    5. Ke Ma & Lichuan Wang & Yan Chen, 2017. "A Collaborative Cloud Service Platform for Realizing Sustainable Make-To-Order Apparel Supply Chain," Sustainability, MDPI, vol. 10(1), pages 1-21, December.
    6. Abderahman Rejeb & Karim Rejeb & Imen Zrelli, 2024. "Analyzing Barriers to Internet of Things (IoT) Adoption in Humanitarian Logistics: An ISM–DEMATEL Approach," Logistics, MDPI, vol. 8(2), pages 1-27, April.
    7. Pan Wang & Ricardo Valerdi & Shangming Zhou & Ling Li, 2015. "Introduction: Advances in IoT research and applications," Information Systems Frontiers, Springer, vol. 17(2), pages 239-241, April.
    8. Giannikas, Vaggelis & Lu, Wenrong & Robertson, Brian & McFarlane, Duncan, 2017. "An interventionist strategy for warehouse order picking: Evidence from two case studies," International Journal of Production Economics, Elsevier, vol. 189(C), pages 63-76.
    9. Carmen Talavera & Joan R. Sanchis, 2020. "Alliances between For-Profit and Non-Profit Organizations as an Instrument to Implement the Economy for the Common Good," Sustainability, MDPI, vol. 12(22), pages 1-22, November.
    10. Yasaman Mashayekhy & Amir Babaei & Xue-Ming Yuan & Anrong Xue, 2022. "Impact of Internet of Things (IoT) on Inventory Management: A Literature Survey," Logistics, MDPI, vol. 6(2), pages 1-19, May.
    11. Sadia Samar Ali & Rajbir Kaur, 2022. "Exploring the Impact of Technology 4.0 Driven Practice on Warehousing Performance: A Hybrid Approach," Mathematics, MDPI, vol. 10(8), pages 1-22, April.
    12. Delgosha, Mohammad Soltani & Hajiheydari, Nastaran & Talafidaryani, Mojtaba, 2022. "Discovering IoT implications in business and management: A computational thematic analysis," Technovation, Elsevier, vol. 118(C).
    13. Kamble, Sachin S. & Gunasekaran, Angappa & Parekh, Harsh & Joshi, Sudhanshu, 2019. "Modeling the internet of things adoption barriers in food retail supply chains," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 154-168.
    14. Natalia Khan & Wei Deng Solvang & Hao Yu, 2024. "Industrial Internet of Things (IIoT) and Other Industry 4.0 Technologies in Spare Parts Warehousing in the Oil and Gas Industry: A Systematic Literature Review," Logistics, MDPI, vol. 8(1), pages 1-23, February.
    15. J. Piet Hausberg & Kirsten Liere-Netheler & Sven Packmohr & Stefanie Pakura & Kristin Vogelsang, 2019. "Research streams on digital transformation from a holistic business perspective: a systematic literature review and citation network analysis," Journal of Business Economics, Springer, vol. 89(8), pages 931-963, December.
    16. Mourad Makaci & Paul J. Reaidy & Karine Evrard Samuel & Valérie Botta-Genoulaz & Thibaud Monteiro, 2017. "Pooled warehouse management : An empirical study," Post-Print hal-01531304, HAL.
    17. Zhang, Yuankai & Sun, Lijun & Hu, Xiangpei & Zhao, Chen, 2019. "Order consolidation for the last-mile split delivery in online retailing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 309-327.
    18. Govindan, Kannan & Kannan, Devika & Jørgensen, Thomas Ballegård & Nielsen, Tim Straarup, 2022. "Supply Chain 4.0 performance measurement: A systematic literature review, framework development, and empirical evidence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    19. Henryk Dźwigoł, 2021. "The Uncertainty Factor in the Market Economic System: The Microeconomic Aspect of Sustainable Development," Virtual Economics, The London Academy of Science and Business, vol. 4(1), pages 98-117, January.
    20. Paul Schneider, 2018. "Managerial challenges of Industry 4.0: an empirically backed research agenda for a nascent field," Review of Managerial Science, Springer, vol. 12(3), pages 803-848, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jscscx:v:8:y:2019:i:3:p:84-:d:211658. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.