scholarly journals An industrial network flow information integration model for supply chain management and intelligent transportation

2007 ◽  
Vol 1 (3) ◽  
pp. 327-351 ◽  
Author(s):  
C. Hsu ◽  
W. A. Wallace
2014 ◽  
Vol 608-609 ◽  
pp. 181-185
Author(s):  
Yang You Zhang

When settlement amount and settlement efficiency grow, enterprise credit will grow, financial interest rate will decrease, and corporate earnings will increase. Realizing two integration of financial supply chain management from order to settlement can improve the utilization ratio of the fund, and help enterprises better managing the capital cost, and improve the economic efficiency of enterprises. In this paper we mainly use the computer data processing method to improve the financial data processing model, and use the method of function approximation to speed up the convergence of data processing. Combined with the nonlinear fitting principle we establish interpolation function model of financial management, and use VB software to develop and design the financial supply chain management system. Finally, through calculation we obtain the economic benefit of the two integration management program. It provides technical reference for the application of computer technology in financial management.


Author(s):  
Peter Mwangi Njuguna ◽  
Wycliffe Arani ◽  
Viginia Onyara

Institutions within the medical supply sector have consistently faced substandard supply chain results because of failure of timely deliveries on the part of suppliers failing to quickly respond to deliver medical shipments. This indicates the procurement role having inadequacies as a key component of an organization since it does not deliver on maximized effectiveness and a reduction of costs based on poor supply chain management plans. A critical purpose of the study was the intention to identify influence of supply chain management strategies on performance of medical supply chain organisations in Kenya. More so, the analysis deals with the degree information integration impacts on Organization performance; to evaluate the impact of warehousing on performance; to examine the impact of outsourcing on performance; and to evaluate the influence of lean supply chain on performance of medical supply entities across Kenya. Direction will through be relying on the resource-based theory as well as the supply chain constraints principle. The analysis will adopt a descriptive study approach; with the targeted size comprising of 30 medical supply entities. The study participants included 2,529 staff of pharmaceutical supply chain entities within Kenya. Determination of the sample group was by Yamane’s concept that led to to a group of 345 participants. Accessing the participants was by stratified and simple random sampling approaches. Towards indicating dispersion and central tendency, standard deviation and respectively, with the inferential statistics being analysed by multiple regression and correlation analysis. The study findings reveal that performance of medical supply organizations in Kenya was significantly related with supply chain information integration (p < 0.05), warehousing (p < 0.05) and outsourcing. Despite this, the association among differentiation strategy and performance was insignificant at p > 0.05 but only significant at p <0.1). It was also found that while lean supply chain had a negative influence on performance (t = -.528, p >0.5) information integration, warehousing and outsourcing had positive influence on performance (information integration: t = 16.461, p <0.05; warehousing: t = 19.671, p <0.05; outsourcing: t = 15.528, p <0.05). The result of these outcomes is that the leadership across medical supply organizations in Kenya need to adopt information integration, warehousing, and outsourcing, which would   positively contribute to performance. Medical supply organizations in Kenya should continue emphasizing on supply chain strategies. The outcomes of the study may assist organisations in drawing plans or improving existing strategies governing supply chain management across institutions.


Kybernetes ◽  
2020 ◽  
Vol 49 (11) ◽  
pp. 2799-2818 ◽  
Author(s):  
Nan Jiang ◽  
Erlin Tian ◽  
Fattaneh Daneshmand Malayeri ◽  
Alireza Balali

Purpose A fundamental concept of the smart city is to get the right information at the right place to make city-related decisions easier and quicker. The main goal of supply chain management (SCM) systems is to enhance the supply chain process for delivering the identified products to customers correctly in distributed organizations. In addition, new IT infrastructure such as cloud-based systems and internet of things (IoT) have changed many organizations and firms. Hence, this study aims to assess the factors that contribute to the success of SCM systems. Design/methodology/approach In this paper, the usage of urban knowledge, urban intelligent transportation systems and IT infrastructure was considered as a key factor for the success of SCM systems. For assessing the features of the model, a comprehensive questionnaire was designed. The survey questionnaires were sent to critical informers who are practical heads associated with SCM and urbanism. Of these, 315 usable responses were received, resulting in a response rate of 82.03%. The data were examined using Smart-PLS version 3.2 and IBM SPSS version 25. Findings The obtained results showed the high strength of the proposed model. This study found that the impact of urban ITS (safety, accessibility, information management and flexibility) is important to the success of supply chain management systems. Another important finding is that the cloud-based system (cloud security, resource virtualization, on-demand self-service and scalability) has a very important role in the success of supply chain management systems. The finding showed that the effect of IoT service variable (commercialization, mobility features, infrastructure capabilities and security and privacy) on the success of supply chain management systems is significant and positive. The findings also showed that urban knowledge (usage skills, awareness, experience and knowledge sharing) is viewed as a significant factor in the success of supply chain management systems. Research limitations/implications The inductive nature of research methodology has introduced limitations on the generalizability of results. Therefore, it is recommended to examine the validity of this research model in other supply chains. Practical implications The statistical results support the crucial role of urban knowledge, urban intelligent transportation systems, IoT services and cloud-based systems. Therefore, aspects relating to these factors must be the focus of attention of any distributed organization in their endeavor to develop supply chain management systems. Implementing cloud based IoT through accurate and timely availability of information, can predict forecasting and planning processes, resources, logistics and support, service management and spare parts and many sub-processes in the supply chain. These technologies allow organizations to invest in manufacturing and operating processes rather than paying for the software section, which will generate more cash flow. Originality/value One of the most crucial and fundamental parts of an organization’s management is the supply chain management. The department is responsible for coordinating all units from the initial stages, such as supplying materials to the final stages, such as delivery and after-sales service. Comprehensive and credible information platforms are essential for managing a supply chain. Therefore, it is important to use integrated information systems such as IoT, cloud computing, intelligent transportation systems and more in this part of the organization management. Covering this information in a timely and accurate manner will facilitate the process and make the process more transparent. For this purpose, a model is needed to determine the relationship between technologies and supply chain management, which this study has provided a comprehensive model.


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