Cross-collaborative supply chains: serious gaming via a case study

Collaboration currently is crucial for stakeholders operating in the supply chain. Nevertheless effective and sustainable forms of inter- and intra-supply-chain collaboration are scarce in practice. Often this is caused by the false interpretation of conflicts of interest on sharing benefits or sensitive data about sales and orders. Serious gaming has shown its contributions to make stakeholders aware of such phenomena in different domains than the logistics domain. In this paper we show the development of a serious game based on extensive case study material on different logistic service suppliers (LSP) in Europe. After interviewing experts and collecting requirements we use a SCRUM agile setup to create a multiplayer serious game that has a game play with increasing complexity. The game starts with a “classical” single LSP level that offers order acceptance, truck -and resource planning and routing. In the final gaming level players experience the benefits of sharing orders and collaborative planning, but still with a competitive and realistic set-up. Players report this gradual gameplay show the positive effects and possibilities of collaborative planning

Context-aware prioritization of information: an architecture for real-time in-vehicle information management

Human Machine Interfaces (HMIs) are the communication devices between in-vehicle applications and the driver. Frequently, independent HMIs are used for different applications which may cause information overload situations at the driver. Hence, a common HMI design that determines the application interface with an HMI Manager that provides rules for prioritizing information from different applications is needed. The design takes into account: application transparency, driver situation awareness, driver workload and surrounding external influences. By reducing distraction, especially when the situation requires more attention of the driver, the need for controlling the information flow emerges. This paper presents a driver-centred unified approach for in-vehicle information managemen

Infrastructural Sovereignty over Agreement and Transaction Data (‘Metadata’) in an Open Network-Model for Multilateral Sharing of Sensitive Data

Organizations are becoming ever more aware that their data is a valuable asset requiring protection against mis-use. Therefore, being in control over the usage conditions (i.e. data sovereignty) is a prerequisite for sharing sensitive data in (increasingly complex) supply chains. Maintaining sovereignty applies to both the primary shared data and to the ‘metadata’ stemming from the data sharing support processes. However, maintaining sovereignty over this metadata creates an area of tension. Data providers must balance operational efficiency through outsourcing the data sharing support processes and the associated metadata to external, trusted, organizations against the added risk of transferring control over the metadata. At the same time, lock-in by community providers and major integration efforts due to multiple data sharing relationships need to be avoided. To address these issues, this paper elaborates an open network-model approach for maintaining sovereignty over metadata

Trust in a multi-tenant, logistics, data sharing infrastructure:Opportunities for blockchain technology

In support of the trend towards ever more complex supply chain collaboration for the physical Internet, a trusted, multi-tenant (and interoperable) data sharing infrastructure has to be enabled. Trust is a condition sine qua non organizations may not be prepared to share potentially competitive sensitive information. As such, trust has to be an essential design aspect for any multi-tenant data sharing infrastructure for the data sharing stakeholders To overcome the challenges for trusted data sharing, various reference architectures for a trusted, multi-tenant, data sharing infrastructure are being developed. As such, the Industrial Data Space (IDS) initiative is currently gaining attention. It’s based on the architectural principles of keeping the data owner in control over his data and keeping data, data processing and data distribution at the source. Its reference architecture is strongly grounded on a role / stakeholder model for the intermediary trusted roles to enable peer-to-peer data sharing over a controlled and trusted connector infrastructure. The intermediary trusted roles may contain and process meta-data on the data sources, the data transactions and/or on the identities of the parties involved in the data sharing. This paper focuses on the role of blockchain technology for improving trust levels for such intermediary trusted roles

Supply chain orchestration and choreography: Programmable logistics using semantics

Interoperability between enterprise systems in supply chains is increasingly essential for successful supply chain integration and key in the creation of innovative businesses / business models. In this paper we present a novel approach for supply chain choreography to support supply chain organizations in practice in creating seamless chain integration. The aim we set ourselves in this paper is to propose an architecture to enable and/or improve the exchange of information between supply chain organizations. To address this challenge we followed the design science methodology. First, we derived to a body of knowledge combining literature - on supply chain collaboration and challenges, but also corresponding areas such as web services - with empirical knowledge gained from applied research and industrial projects we were and are involved in. Secondly, we propose a semantic architecture that is able to support seamlessly integration and create an ecosystem where programmable logistics are the future. First implementations are promising, but also revealed a series of improvements to our architecture. Further research is required for more practical validation and improving the theory, and validation of the current research