A novel large-scale RFID integration Architecture based on SOA for supply chain logistics management

2010 ◽  
Author(s):  
Zhao Wen ◽  
Wang Zhengfang ◽  
Ku Tao
Keyword(s):  
Supply Chain ◽  
Large Scale ◽  
Logistics Management ◽  
Supply Chain Logistics ◽  
Integration Architecture

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.

Exploring the Need for More Women in Leadership Roles in Public Health and Emergency Response Logistics

2021 ◽  
Vol 6 (2) ◽  
pp. 29-48
Author(s):  
Darrell Norman Burrell ◽  
Orna T. Bradley-Swanson ◽  
Jorja B. Wright ◽  
Tiffiny Shockley ◽  
Kim L. Brown-Jackson ◽  
...  
Keyword(s):  
Public Health ◽  
Supply Chain ◽  
Large Scale ◽  
Health Management ◽  
Gender Diversity ◽  
Gender Disparity ◽  
Women In Leadership ◽  
Logistics Management ◽  
Leadership Roles ◽  
Relief Operations

Situations like Coronavirus (COVID-19), severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS) coronaviruses, and the damaged caused by Hurricane Maria in September 2017 in Puerto Rico create complex health public health management logistics problems. Disasters and pandemics often demand logistics planning to involve large-scale transportation of medical aid in the form of personnel and supplies, specialized equipment, and personnel for search and rescue, food, shelter, and other commodities used in massive relief operations. The research suggests improvements in organizational culture, modernization of recruitment strategies, and enhancement of leadership and professional development as approaches to improve gender diversity in leadership roles in emergency public health supply chain and logistics management. This paper provides emergency and disaster public health supply chain and logistics management practitioners and scholars insight into the dynamics of gender disparity in leadership roles in public health supply chain 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.

Multi-Agent Based Logistics Coordination System

2012 ◽  
Vol 433-440 ◽  
pp. 3106-3111 ◽  
Author(s):  
Yan Ling Wang
Keyword(s):  
Supply Chain ◽  
Large Scale ◽  
Business Processes ◽  
Raw Materials ◽  
Low Cost ◽  
Distribution Centers ◽  
Supply Chain System ◽  
Supply Chain Logistics ◽  
Coordination System ◽  
Multi Agent

Logistics supply chain system management is the integration of key business processes from end user through original logistics suppliers that provides products, services, and information that add value for customers and other stakeholders. Logistics supply chain is a network of suppliers, factories, warehouses, distribution centers and retailers where the raw materials are acquired, manufactured to products, which then are delivered to consumers. The increase of customer expectations in low cost and high services quality has put a premium on effective logistics supply chain reengineering. Many efforts have been endeavoring to improve the supply chain performance to achieve high agility without increasing costs For improved competitiveness, supply chain logistics system in the industry has become more and more important for modern businesses, especially for the major retailing corporations. Multi-agent system which can effectively process distributed large scale data is developed for the logistics supply chain coordinate system.

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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