Many people enjoy playing games with domino, a set of small black and white rectangles that are sometimes called bones, cards, tiles, spinners, or tickets. Some people like to line them up in long rows and knock them over. Others play games that involve blocking them or scoring them. The individual pieces in a domino set have a specific pattern of spots on one side, and blank or identically patterned faces on the other. Most sets contain 28 pieces, and each piece belongs to a suit, such as aces or spades. Most popular are the double six or double nine suits.
While Domino’s began as a restaurant chain, the company has also become known for its pizza delivery service. Its strategy of putting stores in close proximity to college campuses helped fuel the growth of the company in its early years, and it remains one of the most successful ways of delivering pizza today.
Domino’s pizza was named after a visit that founder Tom Monaghan made to a local pizza shop in Ypsilanti, Michigan. The owner of the store, James DeVarti, insisted on giving Monaghan a sample of his pizza, which impressed him so much that he agreed to give him half the business. In 1963, Monaghan opened the first Domino’s location in Ypsilanti and began franchising the concept the following year.
A number of significant accidents have been analyzed and classified as “domino effects.” These incidents are caused by an initial accident that triggers a chain reaction. The resulting accident is called a primary domino accident, and subsequent accidents that occur in the chain are called secondary accidents.
The occurrence of these events is difficult to predict. However, by understanding the potential damage and impact of a series of accidents in the chain of domino effects, we can better protect people, property, and the environment. The development of a system for quantifying the risk of domino accidents has been challenging. In order to assess the likelihood of an accident occurring and its damage potential, a combination of deterministic models and probabilistic analysis is required.
This approach has been referred to as domino effects analysis, and a computer automated tool DOMIFFECT’5l has been developed to assist in this assessment. The method enables the calculation of an accident’s domino effect from its escalation vectors.
In the case of a chemical accident, the escalation vectors are represented by the chain of domino accidents that can result in a catastrophic failure of the target equipment and its surrounding facilities. The results of a study of 207 major chemical accidents in the United States has shown that the probability of a domino accident occurring is dependent on the severity of the initial event and the length of the accident chain. The longer the chain of accidents, the more likely it is that a domino accident will occur. The risk of an accident is then estimated using the probability distribution of the domino accident chains.