Using Data Replication Techniques to Maintain Data Consistency in Supply Chain Applications
نویسندگان
چکیده
Supply chain applications typically involve sharing of large amounts of information across a number of partner organizations. Examples of supply chain applications are common in manufacturing, healthcare and global trade. Such applications can involve a large number of partners in different locations with various levels of connectivity, ranging from high-speed Internet to unreliable and slow dial-up connections. Maintaining data consistency in supply chain applications is an essential requirement as the loss of data consistency results in poor quality and unreliable information. Current supply chain applications mostly rely on EDI (Electronic Data Interchange) or similar electronic messaging standards to ship data between partner organizations. In general, little attention is paid to ensuring that data remains consistent as it is propagated and updated along the supply chain. In this paper we fIrst discuss the requirements for data consistency in supply chain applications and then briefly describe a data consistency management framework based on data replication. We use Freight Forwarding and Customs Brokerage (FFCB) applications examples to illustrate our discussion. Abstract:
منابع مشابه
Correlation of Big Data with Supply Chain Health Performance in Employees of the Tehran Intelligent Fuel System
Introduction: The dramatic growth of big data and its application in preventing waste of resources and increasing financial performance and supply chain health levels, need to be examined from different perspectives. This study aimed to determine the correlation between big data and supply chain health performance in employees of Tehran Intelligent Fuel System. Methods: In this descriptive cor...
متن کاملData Replication-Based Scheduling in Cloud Computing Environment
Abstract— High-performance computing and vast storage are two key factors required for executing data-intensive applications. In comparison with traditional distributed systems like data grid, cloud computing provides these factors in a more affordable, scalable and elastic platform. Furthermore, accessing data files is critical for performing such applications. Sometimes accessing data becomes...
متن کاملDetect and Eliminate Congestion of the Intermediate Products in Supply Chain
Data envelopment analysis (DEA) is a nonparametric technique that includes models to evaluate the relative efficiency of Decision Making Units (DMUs). It has the ability to separate efficient units and inefficient units. One of the applications of this mathematical technique is evaluating performance of supply chain. According to such as the inefficiency factors of one DMU, is existence conges...
متن کاملIMPRECISE DATA ENVELOPMENT ANALYSIS APPROACH IN PERFORMANCE EVALUATION OF SUPPLY CHAIN
Spurred by intensifying competition in global markets, most companies have been increasingly implementing supply chain management (SCM) and information systems (IS) practices. As well, globalization policies have created a more intensive competition amongst manufacturers; in additional the priority of supply over demand, market competition and importance of some factor such as quality, accounta...
متن کاملDesigning a Sustainable Supply Chain Model with an Emphasis on Behavioral Factors for Foodstuffs in Kermanshah Province
The purpose of this research is to design a sustainable supply chain model with an emphasis on behavioral factors for foodstuff in Kermanshah province. This is an applied research. The literature review was the outcome of a library study such as books, journals, dissertations, articles, and so on, and the data were collected through a questionnaire which was analyzed by statistical methods. Reg...
متن کامل