Ford news.

Description based on: Vol. 15, no. 8 (Aug. 1935); title from cover.

Ford times.

"The Ford owner's magazine."

Accessory after the fact /

Photographic frontispiece and photographic plates facing p. 28, 54, 66, 98 and 134.

Quincy Adams Sawyer and Mason's Corner folks : a novel ; a picture of New England home life /

Mode of access: Internet.

Ford documents and photographs, and exhibit.

Mode of access: Internet.

Innovative chemical supply contracts : a source of competitive advantage /

"September 1997."

The coming crisis : three ideas : a work in two parts /

Mode of access: Internet.

The standard guide, Washington, a handbook for visitors,

Title varies: 18 -19 The standard guide, Washington. 1903-19 Washington, the nation's capital. 19 The standard guide, Washington.

Flower o' the vine:

Mode of access: Internet.

Survey of university industrial relations centers, Fall, 1954.

Mode of access: Internet.

Morgan Rockefeller's will : a romance of 1991-2 /

T.p. with Allied Printing Trades Council union label (for C.T. Dearing Printing Co.)

Taken in Flint Buick, No.1

signed: Henry Helwig Fenton, Interior of Buick Motor Company, plant no. 1

Knowledge based improvement:simulation and artificial intelligence for identifying and improving human decision-making in an operations systems

The performance of most operations systems is significantly affected by the interaction of human decision-makers. A methodology, based on the use of visual interactive simulation (VIS) and artificial intelligence (AI), is described that aims to identify and improve human decision-making in operations systems. The methodology, known as 'knowledge-based improvement' (KBI), elicits knowledge from a decision-maker via a VIS and then uses AI methods to represent decision-making. By linking the VIS and AI representation, it is possible to predict the performance of the operations system under different decision-making strategies and to search for improved strategies. The KBI methodology is applied to the decision-making surrounding unplanned maintenance operations at a Ford Motor Company engine assembly plant.

Simulation based knowledge elicitation:effect of visual representation and model parameters

Since much knowledge is tacit, eliciting knowledge is a common bottleneck during the development of knowledge-based systems. Visual interactive simulation (VIS) has been proposed as a means for eliciting experts’ decision-making by getting them to interact with a visual simulation of the real system in which they work. In order to explore the effectiveness and efficiency of VIS based knowledge elicitation, an experiment has been carried out with decision-makers in a Ford Motor Company engine assembly plant. The model properties under investigation were the level of visual representation (2-dimensional, 2½-dimensional and 3-dimensional) and the model parameter settings (unadjusted and adjusted to represent more uncommon and extreme situations). The conclusion from the experiment is that using a 2-dimensional representation with adjusted parameter settings provides the better simulation-based means for eliciting knowledge, at least for the case modelled.