Event-Cloud Platform to Support Decision- Making in Emergency Management

The challenge of this paper is to underline the capability of an Event-Cloud Platform to support efficiently an emergency situation. We chose to focus on a nuclear crisis use case. The proposed approach consists in modeling the business processes of crisis response on the one hand, and in supporting the orchestration and execution of these processes by using an Event-Cloud Platform on the other hand. This paper shows how the use of Event-Cloud techniques can support crisis management stakeholders by automatizing non-value added tasks and by directing decision- makers on what really requires their capabilities of choice. If Event-Cloud technology is a very interesting and topical subject, very few research works have considered this to improve emergency management. This paper tries to fill this gap by considering and applying these technologies on a nuclear crisis use-case

THE RELATIONSHIP BETWEEN THE TEACHING STYLE OF SWIMMING COACHES AND THEIR ATHLETES’ MOTIVATION FOR SPORT

The paper presents a research dealing with one of the most relevant problems in sports education science, the coach’s influence on young athletes’ motivation. The aim of the research is to investigate the correlations between manifestation of the teaching style applied by coaches and motivation of their athletes for sport. The research raises a hypothesis that the teaching styles applied by coaches may be related to the motivation for sport in the athletes being trained. The research is based on the provisions of reproductive and productive teaching methods as well as the self-determination theory. The research involved 14–18-year-old swimmers and their coaches. Two questionnaires have been employed: description of the teaching style (Curtner-Smith et al., 2001; Hein et al., 2012) and sport motivation scale (SMS–II; Pelletier et al., 2013). Referring to the responses in relation to manifestation of the teaching style, the coaches have been divided into three groups. The one factor analysis of variance (ANOVA) was applied to test the research hypothesis. The research hypothesis was proven only partly. It was found that application of different teaching styles may have had effect on young athletes’ external motivation only. It can be substantiated that the teaching style employed by swimming coaches and related both reproductive and reproductive teaching methods have no significant effect on young athletes’ intrinsic motivation for sport in the coaching practise.

An Anticipative Effects-Based Approach (AEBA) for analyzing collaborative crisis management process

This paper aims at presenting an Anticipative Effects-Based Approach (AEBA) to evaluate the potential effects of a collaborative crisis management process response on the different elements concerned by the crisis evolution. This approach provides several concepts, model and reasoning mechanisms presented and illustrated in this paper. AEBA is currently developed within the French ISYCRI1 Project. It focuses on crisis occurring suddenly and unpredictably. Long time crisis such as famine, pandemic, enduring civilian wars, etc. are not taken into account

Supporting group decision makers to locate temporary relief distribution centres after sudden-onset disasters: A case study of the 2015 Nepal earthquake

International audienceIn the humanitarian response, multiple decision-makers (DMs) need to collaborate in various problems, such as locating temporary relief distribution centres (RDCs). Several studies have argued that maximising demand coverage, reducing logistics costs and minimising response time are among the critical objectives when locating RDCs after a sudden-onset disaster. However, these objectives are often conflicting and the trade-offs can considerably complicate the situation for finding a consensus.To address the challenge and support the DMs, we suggest investigating the stability of non-dominated alternatives derived from a multi-objective model based on Monte Carlo Simulations. Our approach supports determining what trade-offs actually matter to facilitate discussions in the presence of multiple stakeholders. To validate our proposal, we extend a location-allocation model and apply our approach to an actual data-set from the 2015 Nepal earthquake response. Our analyses show that with the relative importance of covering demands, the trade-offs between logistics costs and response time affects the numbers and locations of RDCs considerably. We show through a small experiment that the outputs of our approach can effectively support group decision-making to develop relief plans in disasters response

Enabling supply chain agility and resilience improvement: toward a methodolody and platform

International audienceOur research ambition is to provide businesses with a methodology and platform able to guide them towards the improvement of their logistics network in terms of agility and resilience, and so of their overall supply chains performances. To minimize the efforts that businesses will have to provide, our methodology will enable the platform to automate the recommendations for logistics network performance improvements in terms of agility and resilience. To fulfil this ambition, we are combining two research projects: the Physical Internet Initiative and the IO-Suite project

Assessing Physical Internet potential for Humanitarian Supply Chains

Nowadays, Humanitarian Supply Chain stakes are changing drastically, implying a need for new methods and tools. One of the most promising evolution is definitively Physical Internet . The current research work investigates how to assess the potential benefits and limits of using the Physical Internet paradigm within Humanitarian Supply Chains. Practically, the proposal provides (i) a systems engineering-oriented framework and (ii) a set of specific modeling features. This contribution will allow assessing efficiently and accurately, impacts of Physical Internet in Humanitarian context. Finally, the paper develops avenues for further research based on the proposal

Making Strategic Supply Chain Capacity Planning more Dynamic to cope with Hyperconnected and Uncertain Environments

Public and private organizations cope with a lot of uncertainties when planning the future of their supply chains. Additionally, the network of stakeholders is now intensely interconnected and dynamic, revealing new collaboration opportunities at a tremendous pace. In such a context, organizations must rethink most of their supply chain planning decision support systems. This is the case regarding strategic supply chain capacity planning systems that should ensure that supply chains will have enough resources to profitably produce and deliver products on time, whatever hazards and disruptions. Unfortunately, most of the existing systems are unable to consider satisfactorily this new deal. To solve this issue, this paper develops a decision support system designed for making strategic supply chain capacity planning more dynamic to cope with hyperconnected and uncertain environments. To validate this decision support system, two industrial experiments have been conducted with two European pharmaceuticals and cosmetics companies

Towards a crisis performance-measurement system

International audienceDuring a crisis, the main goal for decision-makers consists in restoring a stabilised nominal mode. The stakeholders face considerable pressure and drastic constraints in response time and coordination. This study proposes a method to support these stakeholders in making responsive and accurate decisions while carrying out a performance evaluation of the activities that run during the crisis-response process. This method is composed of four steps: (1) characterisation of the crisis-response system, (2) selection of system components to evaluate in priority, (3) determination of performance dimensions to consider and (4) creation of indicators. Currently, performance evaluation is only used subsequent to a crisis, due to difficulties in gathering and aggregating information into trustable performance indicators. This paper proposes a method to obtain a relevant and dynamic decision-support system. Decision-makers will use it to resolve the crisis based on performance evaluation, in addition to the essential experience they undergo. A case study of crisis management within the French Red Cross non-governmental organisation is developed, through a Web-based prototype, in order to explain how performance indicators can both support crisis-response management and improve the collaboration of stakeholders

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