Valorisation d’une solution de gestion du personnel

Le projet consiste à bâtir un outil permettant d’évaluer les économies que les clients peuvent espérer en mettant en place le procédé et le logiciel proposé par Merinio. Le logiciel est un outil permettant de faire la gestion de la main d’œuvre de façon plus efficace en automatisant des tâches, en éliminant des tâches répétitives et réduisant les erreurs. Le stagiaire devra faire une analyse des facteurs qui peuvent permettre de réaliser des économies monétaires, en temps, en qualité ou en satisfaction dans un projet.

Integrating Board Tasks into the Board Attributes and Firm Performance Relation

As the corporate board can be seen as a type of group, scholars from the group perspective have found that tasks performed by groups are unalike, and the effect of group attributes on performance largely depends on which type of tasks the group perform. Based on the survey data expected to be collected from our industry partner, we intend to bring the idea of group tasks into board research and closely examine the influence of board tasks.

The Development of an Improved Model for Start-up Accelerators

The goal of this study will be to develop a new and improved model for start-up accelerators. These accelerators can be defined as programs that help start-ups develop their business model and acquire capital such that they can grow and thrive in today’s business environment. To create the new model, start-ups that are part of the Masters in Technology Management and Entrepreneurship (MTME) program will be examined. This way, it will be possible to find which program characteristics have the greatest effect on start-ups and how they can be improved.

Customer Lifetime Value Prediction Engine: Retail Lending Products

Canada’s financial services industry faces significant challenges to remain internationally competitive in the rapidly evolving web and big data environments. Scotiabank and its global competitors have as a key priority effective use of a large and growing amount of data to optimize the design and pricing of product offerings, to communicate effectively with clients, and to mitigate risk.

Order picking optimization at a pickup-van storage manufacturing warehouse

Ranger Design is a manufacturer of van storage units and accessories. Since order picking activities are considered to be an integral part of its warehouse operations and perceived to be conducive to significant improvements, re-engineering and optimization of the order picking process are in order. As such, the company is looking for an opportunity to reduce the travel time involved in order picking by re-engineering and optimizing the order picking process.

Investigation of remote diabetic retinopathy screening implementation on British Columbia healthcare costs

Fifty percent of diabetic patients are expected to develop some level of a vision threatening problem known as diabetic retinopathy (DR). Although blindness caused by DR is very common amongst diabetic patients, it is preventable in at least 90% of the patients through annual screening and proper follow up. However, financial burdens, lack of access to a specialist (specially in remote areas) to perform routine checkup and the specialists’ busy schedules make it almost impossible for many patients to follow up properly on the status of their disease.

Mortality Rate Modeling: A study of the effectiveness of longevity and mortality linked financial derivatives as hedging instruments in a pension risk management strategy

Private pension plan sponsors wishing to manage their longevity risk transfer it to insurers through annuity contracts or bespoke longevity swap arrangements. They increasingly rely on such contracts to reduce their risk exposure. For example, annuity purchase activity from Canadian private pension plans expanded from $1 billion in 2012 to almost $2.7 billion in 2016 (Willis Towers Watson (2017)).

A case study on the business impact of personalized shopping experience on retail stores

This research will determine what factors are the most significant when it comes to the personalized shopping experience from the perspective of both customers and retailers, and shed light on opportunities and options for North American retailers to innovate within the retail space. We will conduct surveys with both retailers and customers to determine the level of value that each cohort places on the various factors and data points that can improve the personalized shopping experience.

Trade promotion forecasting and optimization

This project addresses two specific challenges related to promotional planning in the consumer-packaged goods sector. The first output will be to develop and evaluate models that statistically predict the impact of Unilever promotions on category and product share across different retailers. This effort will lead to the creation of trade promotion optimization techniques that enables planning of promotional activities.

Machine Learning Modeling for Autism Spectrum Disorder Handling and Treatment

The project is about developing a decision support tool to provide a personalized handling and treatment for Autistic Syndrome Disorder patients. This decision support tool will integrate machine learning modeling that will be used to suggest optimal and personalized guidelines for a very large spectrum of ASD patients, not available so far. Theses guidelines will be used by concerned parents, teachers and therapist that are in charge of these patients. The partner is a company that offer accompanying and training services to ASD patients’ parents and therapists.

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