Haute Ecole de Gestion de Genève

The influence of forecast information sharing on behavioral inventory management in supply chains:

Description: 

The literature reveals the complexity of identifying the attributes, the factors and the mechanisms that would influence trust between supply chain partners. Moreover, the way trust influences the performance of a supply chain is still a subject that remains to be thoroughly researched since trust is a subjective issue that has several dimensions. This paper focuses on the influence of forecast sharing on trust and the way the latter itself influences the supply chain performances. An experimental approach is developed to simulate the supply chain environment and the related decisions. The objective is to control the environment, so that, the trust level can be assessed by manipulating the information sharing attributes of forecasts. Moreover, we assess the relationship between trust and performance. Results show strong correlations not only between trust and supply chain performance, but also between trust and the attributes of the information shared on forecast.

Decision support system for discrete robust berth allocation:

Description: 

This paper aims to develop a decision support system for bulk material handling ports in relation to ship scheduling and discrete berth allocation. Ship scheduling according to available discrete berths and to customer priority is a complex problem. A multiobjective formulation is then proposed to model the problem in minimizing ship waiting times and deviation of customer priority. An modified Non-sorting Genetic Algorithm (Mod-NSGA II) is proposed to solve the problem in large-scale realistic environments. Utility of the developed decision support system in achieving good utilization of the available berths and resources is demonstrated using illustrative scenarios inspired from a real port management case.

Can any marketing instructor turn case studies into a gamified experience for students ?:

Description: 

Marketing educators often use case studies as it is a form of experiential learning. However, successful case-study teaching requires students to be prepared. Yet, research shows that students are becoming more and more reluctant to reading assigned class material and their motivation is lower when teaching is done with traditional media. Students have become the virtual generation who plays games every day and games can keep them motivated several hours at a time. But the development of teaching games is costly and instructors are reluctant to use games that have been developed by others as they rarely completely match their expectations and teaching styles. This paper describes two case studies showing that a marketing professor with no previous experience in Second Life and not particularly technology-savvy can gamify a case study into a sandbox virtual world.

Experiencing global culture in Vatel: : implications of using knowledge management concepts for approaching culture in professional communication

Description: 

To explore the meaning of “global culture” in a professional communication context, this paper explores the “unsettled” global culture of Vatel, a private business school educating students from nearly 50 different countries for the hospitality industry. This paper explores the role of knowledge management in understanding global culture, arguing that the notion of “unsettled” cultures demonstrates how ideologies function in global settings and draw on national “settled” cultural resources. In unpacking different aspects of Vatel's culture this paper questions assumptions built into cultural frames of reference by offering a global culture frame, drawing on cultural resources from country based “settled” cultural contexts, and reflects on how global cultural contexts can benefit from a knowledge management approach to this dynamic between “settled” cultural contexts and “unsettled” cultural ideologies that frame global cultural experiences. This approach to culture offers an opportunity for professional and technical communicators to reflect on global cultural contexts in the workplace.

Optimizing residential energy consumption in Romania:

Description: 

This paper proposes a modelling approach based on TIMES/VEDA systems, designed to optimize energy system model and connected aspects, like economic development and consumer behaviour, in order to decrease energy consumption in households. The economic and technological factors have been used to set-up the energy model. A case study of Romania’s residential energy consumption model is included.

Routing with public transport and ride-sharing:

Modeling a waste disposal process via a discrete mixture of count data models:

Description: 

We propose a modeling framework for the data generating process of waste disposal in recyclable waste containers. It is based on a discrete mixture of count data models representing populations depositing dierent quantities in the containers, thus reflecting a realistic underlying behavior. It is tested on real data coming from ultrasound sensors mounted inside the containers and exhibits better in- and out-of-sample performance compared to a simple count data model assuming only one deposit quantity. The purpose of the mixture model is to forecast container waste levels at a future date when collection will take place. It thus becomes the first-step ingredient in a framework for ecient waste collection optimization.

Real-time ride-sharing substitution service in multi-modal public transport using buckets:

Description: 

We consider a mix transportation problem, which allows to combine a multi-modal public and a ride-sharing transports, in a dynamic environment. The main idea of our approach consists in labelling interesting nodes of a geographical map with information about either riders or drivers, in so-called buckets. Based on the information contained in these buckets, we compute admissible ride-sharing possibilities. To restrict the needed amount of memory, among the different stops along a public transportation path, we only consider the transshipment nodes, where travellers have to make a change between two modes. Each of those stops are potential pick-up or drop-off stops for ride-sharing. We consider a drivers’ maximal waiting time, as well as the maximal driving detour time depending on the actual drive. Each new drive activates a search for new ride-sharing of existing riders. Each new ride activates another process which searches for potential drivers. Among all admissible ride-sharing possibilities, only those which best improve the earliest arrival time are selected. We provide numerical results using real road network of the Lorraine region (FR) and real data provided by a local company. Our numerical experiment shows a running time of a few seconds, suitable for a new real-time transportation application.

Multi-modal transportation with public transport and ride-sharing: : multi-modal transportation using a path-based method

Description: 

This article describes a multi-modal routing problem, which occurs each time a user wants to travel from a point A to a point B, using either ride-sharing or public transportation. The main idea is to start from an itinerary using public transportation, and then substitute part of this itinerary by ride-sharing. We first define a closeness estimation between the user’s itinerary and available drivers. This allows to select a subset of potential drivers. We then compute sets of driving quickest paths, and design a substitution process. Finally, among all admissible solutions, we select the best one based on the earliest arrival time. We provide numerical results using benchmarks based on geographical maps, public transportation timetabling and simulated requests and driving paths. Our numerical experiment shows a running time of a few seconds, suitable for a new real-time transportation application.

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