A Study on Intelligent User-Centric Logistics Service Model Using Ontology

Abstract

Much research has been undergone in the smart logistics environment for the prompt delivery of the product in the right place at the right time. Most of the services were based on time management, routing technique, and location based services. The services in the recent logistics environment aim for situation based logistics service centered around the user by utilizing various information technologies such as mobile devices, computer systems, and GPS. This paper proposes a smart logistics service model for providing user-centric intelligent logistics service by utilizing smartphones in a smart environment. We also develop an OWL based ontology model for the smart logistics for the better understanding among the context information. In addition to basic delivery information, the proposed service model makes use of the location and situation information of the delivery vehicle and user, to draw the route information according to the user’s requirement. With the increase of internet usage, the real-time situations are received which helps to create a more reliable relationship, owing to the Internet of Things. Through this service model, it is possible to engage in the development of various IT and logistics convergence services based on situation information between the deliverer and user which occurs in real time.

Big data analytics in supply chain management: A state-of-the-art literature review

“…It is noteworthy that the BDA-driven routing problem is mainly studied in static environments based on historical databases (Ehmke et al, 2016;Zhang et al, 2016), while the use of BDA for dynamic routing optimization in real-time contexts is only conceptualized in some theoretical platform-based papers such as Sivamani et al (2014) and . Moreover, the application of BDA on logistics network planning has recently gained more attention, but is still under-examined in both strategic and operational levels Mehmood et al, 2017).…”

A survey on supply chain ontologies

“…Although in the field of Supply Chain there is not much research work on ontologies, as it comparatively happens in medicine, biology, telecommunications, etc., yet, there are some notable works, the study of which led to important conclusions. In particular, many scholars attempted the creation, extension and integration of ontologies into already existing models and many individual ontologies have been adapted to the field of Supply Chain Management and, particularly, in the field of Supply Chain planning (Chandra and Tumanyan, 2007), in the area of production, design, product manufacturing and product lifecycle management (Obitko and Marík, 2002;Huang et al, 2005;Lemaignan et al, 2006;Lin and Harding, 2007;Hepp, 2008;Bruno et al, 2015) or storage planning (Weber et al, 2019), in the sector of negotiations in the global manufacturing (Jiao et al, 2006) or in the area of suppliers and transport providers (Achatbi et al, 2018), in e-commerce (Tamma et al, 2005;Cao et al, 2015), in the field of transport, national or cross-border (Merdan et al, 2008;Ponanan et al, 2017;Dorofeev et al, 2020), in the domain of cooperation of 3PL companies in transport (Memon et al, 2014), in the field of Co-operative Supply System (Smirnov and Chandra, 2000), in the field of providing logistics services (Glöckner et al, 2017), in decision-making (Ha et al, 2008;Muñoz et al, 2011), for supplier selection (Yiqing et al, 2009), for waste treatment (Muñoz et al, 2013) or for emergency logistics distribution cases (Zhang, 2013), in the field of product tracking (Vikram et al, 2003), of delivery service management in logistics (Sivamani et al, 2014), of monitoring business partners in a supply network (Yu-Liang, 2010), in the field of e-business, e-commerce and e-logistics in general (Haugen and McCarthy, 2000;Ontoweb Ontology-Based Information, 2002;Foxvog and Bussler, 2005;…”

A smart service model in greenhouse environment using event‐based security based on wireless sensor network

“…Wireless sensor networks (WSN) have advanced with great potential in both research and real‐time application, consisting of many sensor nodes that has better storage, computation, and communication facilities . As the sensor is more adaptable and inexpensive, they are widely used in many fields such as smart home, agriculture, livestock, and warehouses . Without the human intervention, the cognitive automation approach using the sensors is developed to maintain the optimal environment for the crops.…”