A Simple Delay Time Estimation Method and Its Application to Adaptive OFDM Transmissions for Vehicular Wireless Networks

This paper evaluates the effect of making a subjective decision in a design for assembly time analysis. An example is found in the first set of questions for estimating handling time of a part the user chose “parts are easy to grasp and manipulate” as opposed to “parts present handling difficulties”. The subjectivity is explored through a study of assembly time estimates generated by a class of mechanical engineering students in the time analysis of a clicker pen based on the Boothroyd and Dewhurst estimation method. The assembly times calculated by the class ranged from a minimum of 23.64 seconds to a maximum of 44.89 seconds (range of 21.25 seconds). This large range in results serves as motivation in determining the effect that answering a subjective decision has on the resulting assembly time estimate. Initial results indicate that not answering the first level of subjective questions will result in assembly time estimate within 15% of the time had the subjective question been answered. The probability density plots of the time estimates also indicates that 63% of the time, the estimated assembly time without making the subjective decision will fall within the normal distribution had the subjective decision been made. This provides evidence that there is an opportunity to reduce the amount of subjective questions that a user must answer to estimate the assembly time of a product.

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Feasibility of Vehicular Wireless Networks Using Public Utility Vehicles

SSRN Electronic Journal ◽

10.2139/ssrn.2242703 ◽

2013 ◽

Author(s):

Alexandre Kimiyaki Ligo ◽

Pedro Ferreira ◽

João Barros

Keyword(s):

Wireless Networks ◽

Public Utility ◽

Vehicular Wireless Networks

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Time Estimation Methods—Do They Influence Prospective Duration Estimates?

Perception ◽

10.1068/p220091 ◽

1993 ◽

Vol 22 (1) ◽

pp. 91-101 ◽

Cited By ~ 100

Author(s):

Dan Zakay

Keyword(s):

Information Processing ◽

Positive Relationship ◽

Negative Relationship ◽

Estimation Method ◽

Time Estimation ◽

Estimation Methods ◽

Clock Time ◽

Processing Load ◽

Attentional Model ◽

Time Length

The validity of an attentional model of prospective time estimation was tested in three experiments. In the first experiment two variables were manipulated: (1) nontemporal information processing load during the estimated interval, and (2) time estimation method, ie production of time simultaneously with the performance of a second task, or reproduction of time immediately upon termination of a task whose duration has to be measured. As predicted, a positive relationship between produced time length and information processing load demanded by a simultaneous task, and a negative relationship between reproduced time length and information processing load during the estimated interval, were found. The results were replicated in a second experiment in which verbal estimates of time were also measured and the objective duration of the estimated interval was varied. The pattern of results obtained for verbal estimates was similar to that obtained for reproduced ones. The results of a third experiment indicated that produced and reproduced times were positively correlated with clock time. The results are interpreted as supporting an attentional model of prospective time estimation.

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