Supply Chain Logistics Management Based on Grid Optimization Information Sharing Technology

2014 ◽  
Vol 644-650 ◽  
pp. 6174-6177
Author(s):  
Li Yang
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Optimization Model ◽  
Theoretical Basis ◽  
Logistics Management ◽  
Grid Technology ◽  
Traditional Management ◽  
Existing Problems ◽  
Supply Chain Logistics ◽  
Grid Optimization

The traditional supply chain logistics management and information sharing technology is introduced, and the existing problems of traditional methods are analyzed, the concept of grid technology is proposed, and the traditional management mode is improved, the corresponding grid optimization model is established, and the advantages of the model is analyzed, the effective conclusions are obtained, it can provide theoretical basis for information sharing in supply chain logistics management.

scholarly journals Research on the Impact of Big Data on the Development of Supply Chain Logistics Management

2021 ◽  
Vol 251 ◽  
pp. 01039
Author(s):  
Xinchun Wang ◽  
Dan Zhang
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Information Sharing ◽  
Work Experience ◽  
Price Competition ◽  
Logistics Management ◽  
High Tech ◽  
Logistics System ◽  
Supply Chain Logistics ◽  
The Impact

In the era of big data, information sharing functions are of great significance. Moreover, under the effect of big data technology, information sharing can also avoid the problems of traditional supply chain logistics management, develop personalized service content for users, and fully control order risks. This article summarizes the current situation of traditional supply chain logistics services based on previous work experience. The author discusses the impact of big data on supply chain logistics management from how to improve the effect of high-tech management and control, how to shift from price competition to value competition, how to build a “big logistics” system, reduce logistics costs, strengthen distribution efficiency, and improve the stability of the enterprise, how to enhance the user service experience these all six aspects.

Big Data and RFID in Supply Chain and Logistics Management

2017 ◽  
pp. 108-123 ◽  
Author(s):  
Thanos Papadopoulos ◽  
Angappa Gunasekaran ◽  
Rameshwar Dubey ◽  
Maria Balta
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Radio Frequency Identification ◽  
Logistics Management ◽  
Future Research ◽  
Supply Chain Logistics ◽  
Current Trends ◽  
Managerial Implications ◽  
Frequency Identification ◽  
Future Research Directions

Big Data refers to complex and unstructured data that is difficult to analyse and utilize with traditional applications and analyses. Big Data comes from a variety of sources, including tracking and sensor devices which are widely used in logistics and supply chain management, and relate to Radio Frequency Identification (RFID) technology. Thus, this chapter reviews the literature on RFID adoption in supply chain/logistics management from 1995-2015. We identify current trends in the literature, drawing on the three levels of decision making, that is, strategic, tactical, and operational. We suggest that more research needs to be conducted with regards to the intangible benefits of RFID, the use of RFID big data for achieving higher performance, and to shift the focus from the ‘what' and the impacts on performance to the ‘how' and the ways RFID is adopted and assimilated in organizations and supply chains. Finally, the managerial implications of our review as well as the limitations and future research directions are outlined.

scholarly journals Research on Vehicle Routing Algorithm for Supply Chain Logistics Distribution

2018 ◽  
Vol 227 ◽  
pp. 02003
Author(s):  
Hao Zou ◽  
Tiantian Zhang
Keyword(s):  
Supply Chain ◽  
Vehicle Routing ◽  
Optimization Model ◽  
Routing Algorithm ◽  
Logistics Distribution ◽  
Management Efficiency ◽  
Routing Optimization ◽  
Supply Chain Logistics ◽  
Vehicle Routing Optimization ◽  
Mathematical Derivation

In view of logistics distribution vehicle scheduling problem, this paper proposes a vehicle routing optimization model considering route and time. Secondly, the vehicle routing optimization model is designed in detail, and the mathematical derivation steps are given, and the decision-making process of this problem is simulated with data. Finally, the paper takes the route of logistics distribution vehicles as the goal, and makes a preliminary verification. The results show that the algorithm is conducive to improving the management efficiency of the whole supply chain.

Big Data and RFID in Supply Chain and Logistics Management

2018 ◽  
pp. 662-674
Author(s):  
Thanos Papadopoulos ◽  
Angappa Gunasekaran ◽  
Rameshwar Dubey ◽  
Maria Balta
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Radio Frequency Identification ◽  
Logistics Management ◽  
Future Research ◽  
Supply Chain Logistics ◽  
Current Trends ◽  
Managerial Implications ◽  
Frequency Identification ◽  
Future Research Directions

Big Data refers to complex and unstructured data that is difficult to analyse and utilize with traditional applications and analyses. Big Data comes from a variety of sources, including tracking and sensor devices which are widely used in logistics and supply chain management, and relate to Radio Frequency Identification (RFID) technology. Thus, this chapter reviews the literature on RFID adoption in supply chain/logistics management from 1995-2015. We identify current trends in the literature, drawing on the three levels of decision making, that is, strategic, tactical, and operational. We suggest that more research needs to be conducted with regards to the intangible benefits of RFID, the use of RFID big data for achieving higher performance, and to shift the focus from the ‘what' and the impacts on performance to the ‘how' and the ways RFID is adopted and assimilated in organizations and supply chains. Finally, the managerial implications of our review as well as the limitations and future research directions are outlined.

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