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.

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 Enhancing Competitive Capabilities of Healthcare SCM through the Blockchain: Big Data Business Model’s Viewpoint

2022 ◽  
Author(s):  
Dae Hyun Jung
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Data Analysis ◽  
Supply Chain Management ◽  
Information Sharing ◽  
Real Time ◽  
Big Data Analysis ◽  
Logistics System ◽  
Chain Management ◽  
Competitive Capabilities

This study emphasizes the necessity of introducing a blockchain-based joint logistics system to strengthen the competency of medical supply chain management (SCM) and tries to develop a healthcare supply chain management (HSCM) competency measurement item through an analytic hierarchy process. The variables needed for using blockchain-based joint logistics are the performance expectations, effort expectations, promotion conditions, and social impact of the UTAUT model, and the HSCM competency results in increased reliability and transparency, enhanced SCM, and enhanced scalability. Word cloud results, analyzing the most important considerations to realize work efficiency among medical industry-related agencies, mentioned numerous words, including sudden situations, delivery, technology trust, information sharing, effectiveness, urgency, etc. This might imply the need to establish a system that can respond immediately to emergency situations during holidays. It could also suggest the importance of real-time information sharing to increase the efficiency of inventory management. Therefore, there is a need of a business model that can increase the visibility of real-time medical SCM through big data analysis. By analyzing the importance of securing reliability based on the blockchain technology in the establishment of a supply chain network for HSCM competency, we reveal that joint logistics can be achieved and synergistic effects can be created by implementing the integrated database to secure HSCM competency. Strengthening partnerships, such as joint logistics, will eventually lead to HSCM competency. In particular, HSCM should seek ways to upgrade its competitive capabilities through big data analysis based on the establishment of a joint logistics system.

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.

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.

The impact of information sharing on ordering policies to improve supply chain performances

2015 ◽  
Vol 82 ◽  
pp. 127-142 ◽  
Author(s):  
Francesco Costantino ◽  
Giulio Di Gravio ◽  
Ahmed Shaban ◽  
Massimo Tronci
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Ordering Policies ◽  
The Impact ◽  
Improve Supply Chain

MODELING THE IMPACT OF PARTIAL INFORMATION SHARING IN A THREE-ECHELON SUPPLY CHAIN

2013 ◽  
Vol 30 (05) ◽  
pp. 1350020 ◽  
Author(s):  
ZHUPING LIU ◽  
QIUHONG ZHAO ◽  
SHOUYANG WANG ◽  
JIANMING SHI
Keyword(s):  
Supply Chain ◽  
Numerical Analysis ◽  
Information Sharing ◽  
Partial Information ◽  
Autoregressive Coefficient ◽  
The Impact

This paper investigates the impact of partial information sharing in a three-echelon supply chain. Partial information sharing means that information sharing occurs only between the distributor and the retailer, but not between the distributor and the manufacturer. This paper contributes to the literature by summarizing the circumstances in which information sharing between the retailer and the distributor benefits the manufacturer. In addition, our study points out that such information sharing does not always bring benefits to the manufacturer and that in some cases the information sharing may harm the manufacturer. We explain the reasons why this can happen and give managerial intuition for our results. Using numerical analysis, we illustrate the impact of partial information sharing on the agents in the supply chain with the change of the autoregressive coefficient in the demand process.

scholarly journals Pricing Strategies of Multichannel Apparel Supply Chain Based on Showrooming and Information Sharing

2021 ◽  
Vol 2021 ◽  
pp. 1-23
Author(s):  
Shanshan Wang ◽  
Tian Luo ◽  
Daofang Chang
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Forecast Error ◽  
Forecast Accuracy ◽  
Service Level ◽  
Clothing Industry ◽  
Pricing Strategies ◽  
Information Barriers ◽  
The Impact ◽  
Share Information

This paper examines the influence of information forecast accuracy on the profits of the supply chain under the circumstance of a multichannel apparel supply chain. Due to the emergence of multichannel, customer showrooming behavior is becoming increasingly prevalent. For example, consumers usually buy garments online after experiencing the service in the traditional bricks and mortar in the clothing industry. Meanwhile, there are often information barriers between the manufacturer and the retailer, which will affect enterprise decision-making. To solve these problems, this paper mainly investigates the information sharing and customer showrooming phenomenon, which includes four models: no information sharing without showrooming model (NN), information sharing without showrooming model (SN), no information sharing with showrooming model (NS), and information sharing with showrooming model (SS). The numerical analysis shows that under the impact of the forecast error, information sharing between channel members is more favorable than no information sharing when parameters satisfy certain conditions. From the perspectives of the retailer, the manufacturer, and the whole supply chain, customer showrooming behavior will bring them less profit. These conclusions mean that the retailer should share information with the manufacturer and adjust their service level and sales price to alleviate the effect of showrooming.

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