Blockchain-enabled workflow operating system for logistics resources sharing in E-commerce logistics real estate service

摘要

E-commerce logistics real estate (EcLRE) is on the rise with the rapid development of logistics industry and continuous prosperity of real estate. The profit model for EcLRE is moving towards offering professional logistics services instead of simple real estate leasing. As the attributes for real estate are definite and difficult to change, the improvement of logistics service becomes necessity for EcLRE service providers to gain competitiveness in the market. However, the heterogeneous requirements from different service demanders place great challenges for the EcLRE service providers. The most puzzled one is to prevent fragmentation of logistics resources to serve different demanders (customers). This phenomenon of resource fragmentation is aggravated by the implementation of demanders' (customers') own information technologies or management requirements. To achieve the central management of logistics resources to serve heterogeneous demanders becomes an imperative requirement for EcLRE service provider. Therefore, this paper proposed a blockchain-enabled workflow operating system (Bc-WfOS) to centrally share heterogeneous logistics resources with different customers. Three key innovative technologies are involved to empower Bc-WfOS. The first one is gateway technology introduced to realize the UPnP (Universal Plug and Play) management of heterogeneous logistics resources. Secondly, to effectively and efficiently coordinate logistics resources, a multi-dimensional workflow model is proposed with corresponding workflow operation mechanism to suit different business logic. Additionally, a resource blockchain is designed with the integration of blockchain technology with agent technology to guarantee the data reliability to provide accurate front-line resource execution data for different customers to conduct higher decision-makings. Aiming at verifying the proposed Bc-WfOS, a prototype system is also developed and implemented in laboratory environment for conducting experimental case studies based on a real-life case.