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Fair-fixture: minimizing carry-over effects in football leagues
(American Institute of Mathematical Sciences, 2019-10)
We study a sports scheduling problem with the objective of minimizing carry-over effects in round robin tournaments. In the first part, focusing on tournaments that allow minimum number of breaks (at most one) for each ...
Bounding strategies for the hybrid flow shop scheduling problem
In this paper, we investigate new lower and upper bounds for the multiple-center hybrid flow shop scheduling problem. We propose a family of center-based lower bounds as well as a destructive lower bound that is based on ...
Solving two-stage hybrid flow shop using climbing depth-bounded discrepancy search
This paper investigates how to adapt a discrepancy-based search method to solve two-stage hybrid flowshop scheduling problems in which each stage consists of several identical machines operating in parallel. The objective ...
Mitigating the impact of drug shortages for a healthcare facility: An inventory management approach
Despite the importance and value of the pharmaceutical market, a significant portion of procurement spending including pharmaceuticals are lost. Coupling poor and reactive management practices with the inevitable national ...
VRP12 (vehicle routing problem with distances one and two) with side constraints
The problem undertaken in this study is inspired from a real life application. Consider a vehicle routing problem where the distances between the customer locations are either one or two. We name this problem as VRP12 in ...
Next-day operating room scheduling with uncertain surgery durations: Exact analysis and heuristics
Operating rooms are units of particular interest in hospitals as they constitute more than 40% of total expenses and revenues. Managing operating rooms is challenging due to conflicting priorities and preferences of various ...
A gradient descent based heuristic for solving regression clustering problems
Regression analysis is the method of quantifying the effects of a set of independent variables on a dependent variable. In regression clustering problems, the data points with similar regression estimates are grouped into ...
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