Thomas G. Ray

Bio: Thomas G. Ray is an academic researcher from Louisiana State University. The author has contributed to research in topics: Ranking & Group decision-making. The author has an hindex of 5, co-authored 10 publications receiving 512 citations.

Multi-Criteria Decision Making: An Operations Research Approach

Abstract: The core of operations research is the development of approaches for optimal decision making. A prominent class of such problems is multi-criteria decision making (MCDM). The typical MCDM problem deals with the evaluation of a set of alternatives in terms of a set of decision criteria. This paper provides a comprehensive survey of some methods for eliciting data for MCDM problems and also for processing such data.

Health Risks From Exposure to Metal-Working Fluids in Machining and Grinding Operations

Abstract: Metal-working fluids (MWFs) are used in machining and grinding operations to cool the tool and work, reduce the friction between the tool and work, improve the surface integrity of the work piece, and increase tool life and productivity. Health problems have been reported among workers exposed to MWFs, including incidences of respiratory, digestive and skin cancers, and increased rates of cough and phlegm. This paper reviews and discusses issues concerning health risks from exposure to MWFs in machining and grinding operations, the various factors that influence the degree of exposure, and control methods to reduce exposure to metal-working fluids.

Interaction of Physical and Mental Work

Abstract: The objective of the research was to determine the effect of mental load on the physical capacity of an individual. An experiment involving 9 combinations of lifting tasks, 1 lowering task, and 3 treadmill tasks was conducted. Heart rate was measured and maximum acceptable weight of lift was determined using the psychophysical method. A simple multiplication task was used as the mental load. The output variables were determined with and without the mental task. The results indicate that the individual’s physical capacity decreased with the mental task while lifting from floor to knuckle and shoulder to reach lifting heights.

Models of man

Abstract: Feel lonely? What about reading books? Book is one of the greatest friends to accompany while in your lonely time. When you have no friends and activities somewhere and sometimes, reading book can be a great choice. This is not only for spending the time, it will increase the knowledge. Of course the b=benefits to take will relate to what kind of book that you are reading. And now, we will concern you to try reading models of man as one of the reading material to finish quickly.

A review of multi-objective optimization: Methods and its applications

Abstract: Several reviews have been made regarding the methods and application of multi-objective optimization (MOO). There are two methods of MOO that do not require complicated mathematical equations, so t...

A multi-criteria group decisionmaking model for supplier rating

Abstract: SUMMARY An important problem in decision analysis is the evaluation of the difference between two or more different rankings for a set of alternatives. A novel model based on the aggregation technique for combining group member's preferences into one consensus ranking is suggested in this article. The model developed may be used to develop consensus and evolve ranking of alternatives. The application of the model is demonstrated through a case for supplier rating. The advantages of the proposed approach are also highlighted.

A Comparative Study of Multiple-Criteria Decision-Making Methods under Stochastic Inputs

Abstract: This paper presents an application and extension of multiple-criteria decision-making (MCDM) methods to account for stochastic input variables. More in particular, a comparative study is carried out among well-known and widely-applied methods in MCDM, when applied to the reference problem of the selection of wind turbine support structures for a given deployment location. Along with data from industrial experts, six deterministic MCDM methods are studied, so as to determine the best alternative among the available options, assessed against selected criteria with a view toward assigning confidence levels to each option. Following an overview of the literature around MCDM problems, the best practice implementation of each method is presented aiming to assist stakeholders and decision-makers to support decisions in real-world applications, where many and often conflicting criteria are present within uncertain environments. The outcomes of this research highlight that more sophisticated methods, such as technique for the order of preference by similarity to the ideal solution (TOPSIS) and Preference Ranking Organization method for enrichment evaluation (PROMETHEE), better predict the optimum design alternative.