Data relaying with constraints in hierarchical sensor networks

In this paper we present and discuss several optimisation problems that arise in the management of data flow in wireless sensor networks (WSNets). We consider a hierarchical architecture for WSNets composed of sensors, relays, and relay gateways. Sensors send data they generate at a known average bit rate to relays in one hop. The relay nodes use a multi-hop mechanism to reach a set of assigned gateways which then forward the data directly to the base station. We are concerned with finding an assignment of relay gateways to relays so that certain constraints are satisfied. We define a unified model in which constraints such as lifetime, data delay, and data flow splitting are formulated in terms of four optimisation problem in graphs.     

Fuzzy‐Logic‐Based Safety Verification Framework for Nuclear Power Plants

This article presents a practical implementation of a safety verification framework for nuclear power plants (NPPs) based on fuzzy logic where hazard scenarios are identified in view of safety and control limits in different plant process values. Risk is estimated quantitatively and compared with safety limits in real time so that safety verification can be achieved. Fuzzy logic is used to define safety rules that map hazard condition with required safety protection in view of risk estimate. Case studies are analyzed from NPP to realize the proposed real‐time safety verification framework. An automated system is developed to demonstrate the safety limit for different hazard scenarios.     

Relational Ownership and CEO Continuity: A Property Rights Perspective

Inspired by agency theory, research on Chief Executive Officer (CEO) succession often focuses on turnovers as a mechanism to discipline CEOs in the event of poor firm performance. Recent research extends this view by showing that CEO turnovers can also lead to substantial disruption in a firm's management. Less is known, however, about the antecedents of disruption and continuity in the context of CEO turnovers. Drawing on modern property rights theory, we investigate how CEO continuity varies across different types of firms. Using a sample of Swiss publicly traded firms, we find that relational ownership enhances the likelihood of CEOs staying in office or moving to the position of board chair. Firms with little relational ownership, in contrast, display a high degree of CEO continuity only when capital intensity is high. Provided that a CEO turnover occurs, relational ownership and capital intensity reduce the likelihood of interim CEO successions. These findings highlight the importance of a nuanced view of CEO continuity, taking into account owner types as well as contextual factors.     

Supporting the collaborative decision-making process in an automotive supply chain with a multi-agent system

Collaborative initiatives such as collaborative design, collaborative planning and forecasting, and open collective innovation are increasingly accepted as approaches that can effectively support decision-making (DM) processes in a range of different industries. However, justifying and demonstrating the benefits of collaborative solutions remains a challenge and has been under-researched. Demonstrating the feasibility of implementing collaborative solutions as opposed to traditional, linear and transactional solutions is even less evident. The purpose of this paper is to conceive a collaborative solution that supports the multi-level DM process in a real, tree-based automotive supply chain environment. The hypothesis presented posits that by sharing information collaboratively, improvements in terms of the profit and service levels will be found within the supply chain and at every supply chain node.