Solving Challenging Real-World Scheduling Problems

This work contains a series of studies on the optimization of three real-world scheduling problems, school timetabling, sports scheduling and staff scheduling. These challenging problems are solved to customer satisfaction using the proposed PEAST algorithm. The customer satisfaction refers to the fact that implementations of the algorithm are in industry use. The PEAST algorithm is a product of long-term research and development. The first version of it was introduced in 1998. This thesis is a result of a five-year development of the algorithm. One of the most valuable characteristics of the algorithm has proven to be the ability to solve a wide range of scheduling problems. It is likely that it can be tuned to tackle also a range of other combinatorial problems. The algorithm uses features from numerous different metaheuristics which is the main reason for its success. In addition, the implementation of the algorithm is fast enough for real-world use.Siirretty Doriast

An instance data repository for the round-robin sports timetabling problem

The sports timetabling problem is a combinatorial optimization problem that consists of creating a timetable that defines against whom, when and where teams play games. This is a complex matter, since real-life sports timetabling applications are typically highly constrained. The vast amount and variety of constraints and the lack of generally accepted benchmark problem instances make that timetable algorithms proposed in the literature are often tested on just one or two specific seasons of the competition under consideration. This is problematic since only a few algorithmic insights are gained. To mitigate this issue, this article provides a problem instance repository containing over 40 different types of instances covering artificial and real-life problem instances. The construction of such a repository is not trivial, since there are dozens of constraints that need to be expressed in a standardized format. For this, our repository relies on RobinX, an XML-supported classification framework. The resulting repository provides a (non-exhaustive) overview of most real-life sports timetabling applications published over the last five decades. For every problem, a short description highlights the most distinguishing characteristics of the problem. The repository is publicly available and will be continuously updated as new instances or better solutions become available

Attendance of ice hockey matches in the Czech Extraliga

This paper uses data about 3,640 matches played in the seasons 2000/01-2009/10 to explain individual match attendance of the top Czech ice hockey competition – the Extraliga. Some interesting results are that fans decide whether to attend based on the detailed information about the home team, but use just the easily observable information about the away team; that a match having no impact on the final season outcome is much less attended; that televising a match decreases attendances of all matches played on the same day, but there is no negative next-day effect; that both very good and very bad weather decreases attendance; and that if two home matches are played in a short time period, their attendance is lower with likely higher impact on the second match. Substitution of ice hockey with soccer is investigated on several different levels – while ice hockey and soccer are definitely long-term substitutes, there are mixed results for same-day substitution. Modernization of ice hockey arenas is identified as the key factor behind the almost 20% attendance growth in the analyzed period. This paper also presents a new realistic method of modeling seasonal uncertainty based on Monte Carlo simulation that does not rely on ex post information.attendance demand; ice hockey; Czech Republic; seasonal uncertainty; Monte Carlo

Enhancing customer relations in team sport business

Abstract Team sport has become driven by commercial drivers, and increasingly clubs operate as limited companies. In sport there are obviously other drivers than just pure economic success that are also present in the environment. However, it seems to be extremely difficult to operate profitably in team sport business. In general Finnish team sport businesses seem to underperform in business terms, and therefore the topic is particularly relevant. Indeed, relatively little academic research has been made in this field. This research is looking for insight in how consumer customer relations could be enhanced in team sport leading to more sustainable business operations. The research strategy A literature review is included in the research, which pays attention particularly on three subjects. The characteristics of team sport products are discussed. This is followed by review of team sports’ customers. Then special features of customer relations in a sport context are explored. Based on the review, a theoretical framework is constructed, which identifies five facets explaining different fans’ motivation to attend games. Also central elements in fans’ management are noticed. The framework is tested in a quantitative survey research. Based on survey results one strategy to classify fans is presented and elements explaining their attendance-motivations are discussed. The results provide views for customer relation enhancement in team sport context. Implications The study identifies features which particularly explain the behavior of specific fan classes, and considers how their relations could be enhanced. In the end, the research suggests that building strong club identity and inclusive strategies are central in the enhancement of team sport customer relations

The Cowl - v.52 -n.8 - Nov 4, 1987

The Cowl - student newspaper of Providence College. Volume 52, Number 8 - November 4, 1987. 20 pages

The Chronicle [September 27, 1988]

The Chronicle, September 27, 1988https://repository.stcloudstate.edu/chron/3706/thumbnail.jp

Attendance of ice hockey matches in the Czech Extraliga

This paper uses data about 3,640 matches played in the seasons 2000/01-2009/10 to explain individual match attendance of the top Czech ice hockey competition – the Extraliga. Some interesting results are that fans decide whether to attend based on the detailed information about the home team, but use just the easily observable information about the away team; that a match having no impact on the final season outcome is much less attended; that televising a match decreases attendances of all matches played on the same day, but there is no negative next-day effect; that both very good and very bad weather decreases attendance; and that if two home matches are played in a short time period, their attendance is lower with likely higher impact on the second match. Substitution of ice hockey with soccer is investigated on several different levels – while ice hockey and soccer are definitely long-term substitutes, there are mixed results for same-day substitution. Modernization of ice hockey arenas is identified as the key factor behind the almost 20% attendance growth in the analyzed period. This paper also presents a new realistic method of modeling seasonal uncertainty based on Monte Carlo simulation that does not rely on ex post information

Attendance of ice hockey matches in the Czech Extraliga

This paper uses data about 3,640 matches played in the seasons 2000/01-2009/10 to explain individual match attendance of the top Czech ice hockey competition – the Extraliga. Some interesting results are that fans decide whether to attend based on the detailed information about the home team, but use just the easily observable information about the away team; that a match having no impact on the final season outcome is much less attended; that televising a match decreases attendances of all matches played on the same day, but there is no negative next-day effect; that both very good and very bad weather decreases attendance; and that if two home matches are played in a short time period, their attendance is lower with likely higher impact on the second match. Substitution of ice hockey with soccer is investigated on several different levels – while ice hockey and soccer are definitely long-term substitutes, there are mixed results for same-day substitution. Modernization of ice hockey arenas is identified as the key factor behind the almost 20% attendance growth in the analyzed period. This paper also presents a new realistic method of modeling seasonal uncertainty based on Monte Carlo simulation that does not rely on ex post information

Bee Gee News November 10, 1948

The BGSU campus student newspaper November 10, 1948. Volume 33 - Issue 48https://scholarworks.bgsu.edu/bg-news/1873/thumbnail.jp