IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v224y2020ics0925527319303676.html
   My bibliography  Save this article

Introduction of a real time location system to enhance the warehouse safety and operational efficiency

Author

Listed:
  • Halawa, Farouq
  • Dauod, Husam
  • Lee, In Gyu
  • Li, Yinglei
  • Yoon, Sang Won
  • Chung, Sung Hoon

Abstract

As a real time location system (RTLS) can provide positioning and tracking of forklifts and other mobile entities in a warehouse, the integration of RTLS into a data system has a significant potential to enhance safety and improve efficiency. The objective of this research is to demonstrate how RTLS technology can be leveraged to enhance the warehouse safety and operational efficiency via a real warehouse case study. The research is implemented using a novel three-phase framework to introduce the RTLS technology in the warehouse. The first phase evaluates available RTLS technologies. Market research has been conducted to compare different RTLS technologies, and the outcome of this phase suggests that the ultra-wide band (UWB) is the best technology for indoor positioning and tracking in the warehouse with respect to several metrics. The second phase is the technology implementation, which aims to integrate RTLS with other existing warehouse operation systems, i.e., the warehouse management system (WMS) and the forklift fleet management system (FFMS). In this phase, light is shed on current challenges and proposed solutions of RTLS data accuracy and synchronization. The final phase is post-implementation, in which several methods and data visualization tools are proposed to tackle safety and operational issues. A real warehouse in the US has been used as a case study to evaluate the proposed framework. In particular, the following analyses have been conducted using the actual RTLS data: (1) harshness in braking, (2) compliance to routing policies, (3) driver patterns in intersections, (4) congestion identification and prevention, (5) speed per zone, (6) impact analysis, and (7) faults analysis. The results suggest that the proposed framework has a great potential to advance the current warehouse solutions one step forward to realize smart warehouse operations.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:proeco:v:224:y:2020:i:c:s0925527319303676
    DOI: 10.1016/j.ijpe.2019.107541
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527319303676
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijpe.2019.107541?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lim, Ming K. & Bahr, Witold & Leung, Stephen C.H., 2013. "RFID in the warehouse: A literature analysis (1995–2010) of its applications, benefits, challenges and future trends," International Journal of Production Economics, Elsevier, vol. 145(1), pages 409-430.
    2. Min Zhang & Rajan Batta & Rakesh Nagi, 2009. "Modeling of Workflow Congestion and Optimization of Flow Routing in a Manufacturing/Warehouse Facility," Management Science, INFORMS, vol. 55(2), pages 267-280, February.
    3. 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.
    4. Fangyu Chen & Hongwei Wang & Yong Xie & Chao Qi, 2016. "An ACO-based online routing method for multiple order pickers with congestion consideration in warehouse," Journal of Intelligent Manufacturing, Springer, vol. 27(2), pages 389-408, April.
    5. Zhong, Ray Y. & Huang, George Q. & Lan, Shulin & Dai, Q.Y. & Chen, Xu & Zhang, T., 2015. "A big data approach for logistics trajectory discovery from RFID-enabled production data," International Journal of Production Economics, Elsevier, vol. 165(C), pages 260-272.
    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. Adam Marcysiak, 2020. "The scope of diversification of the warehouse space market in a regional configuration," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(1), pages 10-23, September.
    2. Yousra El Kihel, 2022. "Digital Transition Methodology of a Warehouse in the Concept of Sustainable Development with an Industrial Case Study," Sustainability, MDPI, vol. 14(22), pages 1-22, November.
    3. Fracarolli Nunes, Mauro & Lee Park, Camila & Shin, Hyunju, 2021. "Corporate social and environmental irresponsibilities in supply chains, contamination, and damage of intangible resources: A behavioural approach," International Journal of Production Economics, Elsevier, vol. 241(C).
    4. Vendrell-Herrero, Ferran & Para-González, Lorena & Mascaraque-Ramírez, Carlos & Freixanet, Joan, 2024. "The order of the factors matters: How digital transformation and servitization integrate more efficiently," International Journal of Production Economics, Elsevier, vol. 271(C).
    5. 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.

    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. Ahmed Musa & Al-Amin Abba Dabo, 2016. "A Review of RFID in Supply Chain Management: 2000–2015," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 17(2), pages 189-228, June.
    2. 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).
    3. Ray Qing Cao & Dara G. Schniederjans & Vicky Ching Gu, 2021. "Stakeholder sentiment in service supply chains: big data meets agenda-setting theory," Service Business, Springer;Pan-Pacific Business Association, vol. 15(1), pages 151-175, March.
    4. Zhen, Lu, 2016. "Modeling of yard congestion and optimization of yard template in container ports," Transportation Research Part B: Methodological, Elsevier, vol. 90(C), pages 83-104.
    5. Osterrieder, Philipp & Budde, Lukas & Friedli, Thomas, 2020. "The smart factory as a key construct of industry 4.0: A systematic literature review," International Journal of Production Economics, Elsevier, vol. 221(C).
    6. 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.
    7. Chung, Leanne & Lo, Carlos Wing-Hung & Li, Pansy Hon Ying, 2016. "The interaction effects of institutional constraints on managerial intentions and sustainable performance," International Journal of Production Economics, Elsevier, vol. 181(PB), pages 374-383.
    8. Daniel Kiel & Julian M. Müller & Christian Arnold & Kai-Ingo Voigt, 2017. "Sustainable Industrial Value Creation: Benefits And Challenges Of Industry 4.0," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(08), pages 1-34, December.
    9. 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.
    10. Dev, Navin K. & Shankar, Ravi & Swami, Sanjeev, 2020. "Diffusion of green products in industry 4.0: Reverse logistics issues during design of inventory and production planning system," International Journal of Production Economics, Elsevier, vol. 223(C).
    11. Weihua Liu & Shangsong Long & Yanjie Liang & Jinkun Wang & Shuang Wei, 2023. "The influence of leadership and smart level on the strategy choice of the smart logistics platform: a perspective of collaborative innovation participation," Annals of Operations Research, Springer, vol. 324(1), pages 893-935, May.
    12. K. L. Choy & G. T. S. Ho & C. K. H. Lee, 2017. "A RFID-based storage assignment system for enhancing the efficiency of order picking," Journal of Intelligent Manufacturing, Springer, vol. 28(1), pages 111-129, January.
    13. Yun Liu & Zhe Yan & Yijie Cheng & Xuanting Ye, 2018. "Exploring the Technological Collaboration Characteristics of the Global Integrated Circuit Manufacturing Industry," Sustainability, MDPI, vol. 10(1), pages 1-23, January.
    14. Roßmann, Bernhard & Canzaniello, Angelo & von der Gracht, Heiko & Hartmann, Evi, 2018. "The future and social impact of Big Data Analytics in Supply Chain Management: Results from a Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 135-149.
    15. 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.
    16. Han-Lin Li & Yao-Huei Huang & Shu-Cherng Fang, 2017. "Linear Reformulation of Polynomial Discrete Programming for Fast Computation," INFORMS Journal on Computing, INFORMS, vol. 29(1), pages 108-122, February.
    17. Kozjek, Dominik & Vrabič, Rok & Eržen, Gregor & Butala, Peter, 2018. "Identifying the business and social networks in the domain of production by merging the data from heterogeneous internet sources," International Journal of Production Economics, Elsevier, vol. 200(C), pages 181-191.
    18. Biswal, Arun Kumar & Jenamani, Mamata & Kumar, Sri Krishna, 2018. "Warehouse efficiency improvement using RFID in a humanitarian supply chain: Implications for Indian food security system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 109(C), pages 205-224.
    19. Wang, Hui & Gong, Qiguo & Wang, Shouyang, 2017. "Information processing structures and decision making delays in MRP and JIT," International Journal of Production Economics, Elsevier, vol. 188(C), pages 41-49.
    20. 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.

    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:eee:proeco:v:224:y:2020:i:c:s0925527319303676. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    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.