Smart Logistics Service Model Based on Context Information

Kwak, KyungHun; Bae, Nam-Jin; Cho, Yongyun

doi:10.1007/978-94-017-8798-7_77

Cited by 4 publications

(3 citation statements)

References 3 publications

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“…Tracking technologies include Near-field communication devices (NFC), Internet, Radio Frequency Data Capture (RFDC), Point-Of-Sales (POS) scanners and bar code scanners (Bowersox et al 2012;Angles 2005). Communication technologies, such as Global Positioning System (GPS), Global System for Mobile Communications (GSM) and Wireless internet enable to capture and transmit information about products' transportation (Kwak et al 2014;Butner 2010). The tracking data are used by supply chain management information systems and provide raw data for supply chain configuration reporting.…”

Section: Integration With Execution Componentsmentioning

confidence: 99%

Information Technology Support for Configuration Problem Solving

Chandra

Grabis

2016

Supply Chain Configuration

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Supply chain management and information technology are tightly coupled. Implementation of supply chain strategies would be very difficult without the support of information technology. At the same time, many developments in information technology have arisen from requirements set by enterprises seeking collaboration with their partners in the supply chain environment. For instance, the development of web services has been driven by a need for flexibility and more open information systems interfaces to support reconfigurability.This chapter describes the information technologies used to support supply chain configuration, both from the decision-making and decision-implementation perspectives. Information technologies include hardware, communications, and software. Here, the focus is on software. Hardware and communications are described only at the conceptual level in relation to the general architectures of information technology solutions in the supply chain management framework.The chapter starts with outlining major aspects of information technology usage in supply chain management, and supply chain configuration in particular. The classification of applications used is provided. Section 10.3 describes applications used for decision-making purposes. Section 10.4 discusses the supply chain management information system, with emphasis on the use of flexible, service-oriented architecture. A prototype of the supply chain configuration decision-making system is described in Sect. 10.5.

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Section: Integration With Execution Componentsmentioning

confidence: 99%

Information Technology Support for Configuration Problem Solving

Chandra

Grabis

2016

Supply Chain Configuration

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“…Therefore, dynamic models with parameters driven by real-time data and hyper-connected logistics mechanism have been considered in recent scheduling research. Kwak et al (2014) and Hasan and Al-Rizzo (2020) have proposed logistics scheduling models considering the real-time data of resource conditions, context information, and coordination policies of incoming tasks. Chen (2020) further developed a logistics pipeline scheduling system docking with an intelligent interactive database, which synchronizes real-time data of all connected online equipment and environmental and personnel information.…”

Section: Cloud-based Scheduling In Smart Logisticsmentioning

confidence: 99%

Operations management of smart logistics: A literature review and future research

Feng

2021

Front. Eng. Manag.

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The global collaboration and integration of online and offline channels have brought new challenges to the logistics industry. Thus, smart logistics has become a promising solution for handling the increasing complexity and volume of logistics operations. Technologies, such as the Internet of Things, information communication technology, and artificial intelligence, enable more efficient functions into logistics operations. However, they also change the narrative of logistics management. Scholars in the areas of engineering, logistics, transportation, and management are attracted by this revolution. Operations management research on smart logistics mainly concerns the application of underlying technologies, business logic, operation framework, related management system, and optimization problems under specific scenarios. To explore these studies, the related literature has been systematically reviewed in this work. On the basis of the research gaps and the needs of industrial practices, future research directions in this field are also proposed.

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“…The Internet of Services (IoS) enables service vendors to offer their services via the internet. [14] The IoS system may consists of business models, an infrastructure for services, the services themselves and participants. Services are offered and combined into value-added services by various suppliers.…”

Section: F Intenet For Business Servicementioning

confidence: 99%

Logistics 4.0 Solution-New Challenges and Opportunities

Wang¹

2016

Proceedings of the 6th International Workshop of Advanced Manufacturing and Automation

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Abstract-Logistics 4.0 will change and improve traditional logistics and its self-perception. Logistics has become a core pillar in the value chain for industries and it is crucial for them to have the right good with the right quantity and right quality at the right time at the right place and in the right condition and at right price (7R), otherwise they cannot be competitive in the market. In a dynamically changing and uncertain logistic environment, fulfilling these requirements is getting more and more difficult. The highly dynamic and uncertain logistic markets and huge logistic networks require new methods, products and services. Today's consumer behavior leads to new logistics challenges and opportunities. The concept of the cyber physical system (CPS), the wireless networks, the Internet of Things and Services (IOT&S), Big Data/Data Mining (DM) and cloud computing, etc. seem to be the probable technical solution for that. Its consequent implementation inevitably results in the necessity to reconsider some basic concepts of traditional logistics. This paper is to outline the vision of "Logistics 4.0" and give a definition and propos some basic technical components of logistic 4.0. Additionally it emphasizes the question, which paradigm changes will emerge from the fourth industrial revolution and how to address them proactively. Two laboratory cases show how to implement the technologies in logistics 4.0.

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Smart Logistics Service Model Based on Context Information

Cited by 4 publications

References 3 publications

Information Technology Support for Configuration Problem Solving

Information Technology Support for Configuration Problem Solving

Operations management of smart logistics: A literature review and future research

Logistics 4.0 Solution-New Challenges and Opportunities

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