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Fuzzy set theory for cumulative trauma prediction.

Daniel J. Fonseca;  Thomas W. Merritt;  Gary P. Moynihan — 2001

Mathware and Soft Computing

A widely used fuzzy reasoning algorithm was modified and implemented via an expert system to assess the potential risk of employee repetitive strain injury in the workplace. This fuzzy relational model, known as the Priority First Cover Algorithm (PFC), was adapted to describe the relationship between 12 cumulative trauma disorders (CTDs) of the upper extremity, and 29 identified risk factors. The algorithm, which finds a suboptimal subset from a group of variables based on the criterion of priority,...

A fuzzy logic approach to assembly line balancing.

Daniel J. Fonseca;  C. L. Guest;  Matthew Elam;  Charles L. Karr — 2005

Mathware and Soft Computing

This paper deals with the use of fuzzy set theory as a viable alternative method for modelling and solving the stochastic assembly line balancing problem. Variability and uncertainty in the assembly line balancing problem has traditionally been modelled through the use of statistical distributions. This may not be feasible in cases where no historical data exists. Fuzzy set theory allows for the consideration of the ambiguity involved in assigning processing and cycle times and the uncertainty contained...

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