Implementation of Data Mining Technology in Bonded Warehouse Inbound and Outbound Goods Trade

For the taxed goods, the actual freight is generally determined by multiplying the allocated freight for each KG and actual outgoing weight based on the outgoing order number on the outgoing bill. Considering the conventional logistics is insufficient to cope with the rapid response of e-commerce orders to logistics requirements, this work discussed the implementation of data mining technology in bonded warehouse inbound and outbound goods trade. Specifically, a bonded warehouse decision-making system with data warehouse, conceptual model, online analytical processing system, human-computer interaction module and WEB data sharing platform was developed. The statistical query module can be used to perform statistics and queries on warehousing operations. After the optimization of the whole warehousing business process, it only takes 19.1 hours to get the actual freight, which is nearly one third less than the time before optimization. This study could create a better environment for the development of China's processing trade.

A Novel Methodology for Cloud of Things based Secure Higher Education Framework using Zero Knowledge Proof System

The cutting-edge technology, namely Cloud of Things (CoT) has shaped the existing business process into a new orientation in terms of performance, usability, and reliability. Among different business processes, online education is one of the prime areas where CoT can be used to make it more agile in the context of performance and usability. In this endeavor, a novel methodology has been proposed for an online higher education framework based on CoT. The proposed framework is made agile using Service Oriented Architecture (SOA). Furthermore, in order to make the proposed framework more reliable, a Zero Knowledge Proof (ZKPF) system has been introduced here. The proposed ZKPF algorithm is based on the Hadamard matrix. Experimental results have shown to lay bare the effectiveness of the proposed algorithms.

A Query Language for Workflow Logs

A business process (workflow) is an assembly of tasks to accomplish a business goal. Real-world workflow models often demanded to change due to new laws and policies, changes in the environment, and so on. To understand the inner workings of a business process to facilitate changes, workflow logs have the potential to enable inspecting, monitoring, diagnosing, analyzing, and improving the design of a complex workflow. Querying workflow logs, however, is still mostly an ad hoc practice by workflow managers. In this article, we focus on the problem of querying workflow log concerning both control flow and dataflow properties. We develop a query language based on “incident patterns” to allow the user to directly query workflow logs instead of having to transform such queries into database operations. We provide the formal semantics and a query evaluation algorithm of our language. By deriving an accurate cost model, we develop an optimization mechanism to accelerate query evaluation. Our experiment results demonstrate the effectiveness of the optimization and achieves up to 50× speedup over an adaption of existing evaluation method.

The E-Commerce Investment and Enterprise Performance Based on Customer Relationship Management

In the current dynamic and complex competitive environment, the implementation of enterprise e-commerce plays an important role in the development of external business process activities. Through the Internet, information sharing and business process collaboration between enterprises and customers can be realized. This kind of e-service activity based on e-commerce process is particularly important for customers. However, many business managers have some doubts about the implementation of customer service-oriented online business activities, because customer service-oriented online business activities need a lot of IT investment, and the performance of this e-business activities is not easy to measure.

The E-Commerce Investment and Enterprise Performance Based on Customer Relationship Management

In the current dynamic and complex competitive environment, the implementation of enterprise e-commerce plays an important role in the development of external business process activities. Through the Internet, information sharing and business process collaboration between enterprises and customers can be realized. This kind of e-service activity based on e-commerce process is particularly important for customers. However, many business managers have some doubts about the implementation of customer service-oriented online business activities, because customer service-oriented online business activities need a lot of IT investment, and the performance of this e-business activities is not easy to measure.

Review on Blockchain Technology

Blockchain is a technology that has the potential to cause big changes in our corporate environment and will have a significant influence over the next few decades. It has the potential to alter our perception of business operations and revolutionise our economy. Blockchain is a decentralised and distributed ledger system that, since it cannot be tampered with or faked, attempts to assure transparency, data security, and integrity. Only a few studies have looked at the usage of Blockchain Technology in other contexts or sectors, with the majority of current Blockchain Technology research focusing on its use for cryptocurrencies like Bitcoin. Blockchain technology is more than simply bitcoin; it may be used in government, finance and banking, accounting, and business process managementAs a result, the goal of this study is to examine and investigate the advantages and drawbacks of Blockchain Technology for current and future applications. As a consequence, a large number of published studies were thoroughly assessed and analysed based on their contributions to the Blockchain body of knowledge. Keywords: Blockchain Technology, Bitcoin, Cryptocurrency, Digital currency

PEMODELAN PROSES BISNIS PENGADAAN BARANG (STOK) MENGGUNAKAN PENDEKATAN BUSINESS PROCESS MODELLING NOTATION (BPMN)

Dalam organisasi tentunya sudah pasti memiliki proses bisnis yang menopang kegiatan atau aktivitas bisnis didalamnya guna mecapai visi dan misi yang teridentifikasi. Saat ini proses bisnis yang berjalan di Sahabat Hutama Mandiri atau SHM Purwokerto sudah dibantu dengan sistem inventory akan tetapi sistem tersebut masih memiliki banyak kekurangan seperti kurangnya fitur-fitur sehingga admin harus membuat pencatatan secara manual untuk bagian yang belum memiliki fitur. Maka dari itu perlu dibuat Business Process Model and Notation (BPMN) yang bertujuan untuk mengetahui proses bisnis yang terjadi di SHM Purwokerto dan, meminimalisir kesalahan yang sering terjadi pada sistem yang ada di Sahabat Hutama Mandiri Purwokerto. Hasil dari penelitian ini adalah perlu ada nya penambahan beberapa fitur-fitur seperti fitur return atau pengembalian barang yang rusak, sistem penentuan harga yang ada di sistem inventori pada Sahabat Hutama Mandiri.

A Context-Aware Architecture for Realizing Business Process Adaptation Strategies Using Fuzzy Planning

Business competency emerges in flexibility and reliability of services that an enterprise provides. To reach that, executing business processes on a context-aware business process management suite which is equipped with monitoring, modeling and adaptation mechanisms and smart enough to react properly using adaptation strategies at runtime, are a major requisite. In this paper, a context-aware architecture is described to bring adaptation to common business process execution software. The architecture comes with the how-to-apply methodology and is established based on process standards like business process modeling notation (BPMN), business process execution language (BPEL), etc. It follows MAPE-K adaptation cycle in which the knowledge, specifically contextual information and their related semantic rules — as the input of adaptation unit — is modeled in our innovative context ontology, which is also extensible for domain-specific purposes. Furthermore, to support separation of concerns, we took apart event-driven adaptation requirements from process instances; these requirements are triggered based on ontology reasoning. Also, the architecture supports fuzzy-based planning and extensible adaptation realization mechanisms to face new or changing situations adequately. We characterized our work in comparison with related studies based on five key adaptation metrics and also evaluated it using an online learning management system case study.