Default Category
-
A Note on Queuing Models
Rasha Kashef; Felipe RodriguesTechnical Note IVEY-9B19E006-EDecision AnalysisQueues (or waiting lines) are common in modern life. We wait in lines at the campus cafeteria, to board an airplane, in the emergency room, and when we call a company for customer service. We even wait for applications to be initiated and processed by our smartphone processors, and our online orders wait to be fulfilled at companies’ warehouses before being shipped to us. How long we wait in line depends on several factors and parameters. It may ...Starting at €8.20
-
LHSC Multi-Organ Transplant Program: Pooling Ontario's Kidney Transplant Wait-Lists
Fredrik Odegaard; Felipe RodriguesCase IVEY-9B18E020-EDecision AnalysisIn 2017, wait times for kidney transplants in Ontario were getting out of hand. While patients from London Health Sciences Centre’s kidney transplant program in London, Ontario, had a reasonable wait of approximately one year, patients in Toronto's kidney transplant program waited almost four years. In an attempt to improve the overall wait times for all Ontario patients, the provincial Ministry of Health intended to merge the two currently indep...Starting at €8.20
-
Mobile Blood Donor Clinic: A Discrete Event Simulation Model
Rasha Kashef; Felipe RodriguesCase IVEY-9B17E010-ECorporate GovernanceIn 2017, while donating blood on campus, a management science graduate student noticed that the mobile blood donor clinic set up at his university’s community centre was a congested tandem queuing system. Finding one-and-one-half hours too long for donors to wait, the student considered how the process could be reduced by at least half an hour. He needed to devise a reasonably precise model to represent the donor flow in the clinic. Using either ...Starting at €8.20
-
Enterprise Risk Management at Hydro One (B): How Risky are Smart Meters
Mikes, Anette; Hamel, DominiqueCase HBS-112073-EAccounting and ControlThis case enables students to simulate a risk management workshop based on the description of an innovative capital project in the energy sector. Students will discuss, assess, and vote on the riskiness of the Smart Meters project and experience the dynamics of a risk workshop.Starting at €5.74
-
Enterprise Risk Management at Hydro One (B): How Risky Are Smart Meters, Teaching Note
Mikes, Anette; Migdal, AmramTeaching Note HBS-114101-EAccounting and ControlTeaching note for case 112073.Starting at €0.00
-
South West Health Centre: Improving Patient Flow in the Intensive Care Unit
Rasha Kashef; Felipe RodriguesCase IVEY-9B19E007-EDecision AnalysisHospitals frequently deal with congestion and blockage that affects patient flow and increased costs. In 2018, at University Hospital, part of South West Health Centre, patient flow in the medical surgical intensive care unit seemed to be highly susceptible to congestion, and this was creating ripple effects throughout the hospital and leading to increased costs. The complexity of patient flow presented an opportunity to build a discrete-event si...Starting at €8.20
-
Enterprise Risk Management at Hydro One - Multimedia
Mikes, AnetteTeaching Note HBS-111036-EAccounting and ControlTeaching Note for 110707.Starting at €0.00
-
Enterprise Risk Management at Hydro One (A) (Spanish version)
Mikes, AnetteCase HBS-113S12Accounting and ControlAn early adopter of Enterprise Risk Management, energy giant Hydro One anticipated new threats and opportunities in an industry that faced climate change and carbon legislation, the deregulation of electricity markets, and the greater adoption of renewable technologies. CEO Laura Formusa felt Hydro One's risk profile had shifted, to the extent that she had to ask herself -- was the strategy tenable? The case provides a rich description of Enterpr...Starting at €8.20