Ford Motor Co. Rouge Plant

Slogan on building: Safety is everybody's business

Capital estrangeiro e agricultura na Amazônia: a experiência da Ford Motor Company (1922-1945)

O objetivo deste trabalho é a reconstituição histórica da Companhia Ford Industrial do Brasil entendida, de um lado, como um momento do processo de concentração e centralização do capital empreendido pela Ford Motor Company enquanto parcela individual do capital global; de outro, como forma especifica de materialização deste processo.

Cooperative research and development agreement with Ford Motor Company : environmental damage to automobile coatings.

Mode of access: Internet.

The market for wood pallets in the auto industry : a case study of Ford Motor Company /

Cover title.

Ford Motor Company Visitor Reception Center, Dearborn, Michigan, 1971 (unbuilt project)

[Conceptual Sketch of Scheme 1], untitled. Ink sketch on white paper, 8 1/2 x 11 inches [from photographic copy by Lance Burgharrdt]

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.

Stainless steel information manual for the Savannah River Plant /

"Metals, Ceramics, and Materials (TID-4500, 20th Ed.)."

Lake Belnona 217230

"Lake Belnona" was built at Saginaw, Michigan in 1918 by the Saginaw Shipbuilding Company. She was owned by the U. S. Shipping Board of Washington, D. C. until 1928 when she was scrapped at River Rouge, Michigan by the Ford Motor Company

Enhanced integrated modelling approach to reconfiguring manufacturing enterprises

Dynamism and uncertainty are real challenges for present day manufacturing enterprises (MEs). Reasons include: an increasing demand for customisation, reduced time to market, shortened product life cycles and globalisation. MEs can reduce competitive pressure by becoming reconfigurable and change-capable. However, modern manufacturing philosophies, including agile and lean, must complement the application of reconfigurable manufacturing paradigms. Choosing and applying the best philosophies and techniques is very difficult as most MEs deploy complex and unique configurations of processes and resource systems, and seek economies of scope and scale in respect of changing and distinctive product flows. It follows that systematic methods of achieving model driven reconfiguration and interoperation of component based manufacturing systems are required to design, engineer and change future MEs. This thesis, titled Enhanced Integrated Modelling Approach to Reconfiguring Manufacturing Enterprises , introduces the development and prototyping a model-driven environment for the design, engineering, optimisation and control of the reconfiguration of MEs with an embedded capability to handle various types of change. The thesis describes a novel systematic approach, namely enhanced integrated modelling approach (EIMA), in which coherent sets of integrated models are created that facilitates the engineering of MEs especially their production planning and control (PPC) systems. The developed environment supports the engineering of common types of strategic, tactical and operational processes found in many MEs. The EIMA is centred on the ISO standardised CIMOSA process modelling approach. Early study led to the development of simulation models during which various CIMOSA shortcomings were observed, especially in its support for aspects of ME dynamism. A need was raised to structure and create semantically enriched models hence forming an enhanced integrated modelling environment. The thesis also presents three industrial case examples: (1) Ford Motor Company; (2) Bradgate Furniture Manufacturing Company; and (3) ACM Bearings Company. In order to understand the system prior to realisation of any PPC strategy, multiple process segments of any target organisation need to be modelled. Coherent multi-perspective case study models are presented that have facilitated process reengineering and associated resource system configuration. Such models have a capability to enable PPC decision making processes in support of the reconfiguration of MEs. During these case studies, capabilities of a number of software tools were exploited such as Arena®, Simul8®, Plant Simulation®, MS Visio®, and MS Excel®. Case study results demonstrated effectiveness of the concepts related to the EIMA. The research has resulted in new contributions to knowledge in terms of new understandings, concepts and methods in following ways: (1) a structured model driven integrated approach to the design, optimisation and control of future reconfiguration of MEs. The EIMA is an enriched and generic process modelling approach with capability to represent both static and dynamic aspects of an ME; and (2) example application cases showing benefits in terms of reduction in lead time, cost and resource load and in terms of improved responsiveness of processes and resource systems with a special focus on PPC; (3) identification and industrial application of a new key performance indicator (KPI) known as P3C the measuring and monitoring of which can aid in enhancing reconfigurability and responsiveness of MEs; and (4) an enriched modelling concept framework (E-MUNE) to capture requirements of static and dynamic aspects of MEs where the conceptual framework has the capability to be extended and modified according to the requirements. The thesis outlines key areas outlining a need for future research into integrated modelling approaches, interoperation and updating mechanisms of partial models in support of the reconfiguration of MEs.

Estrategias para reducir el nivel de contaminanción fisíca en la planta de producción de Pelpak S.A

Este proyecto busca analizar y formular estrategias que permitan reducir la contaminación física por partículas en la planta de producción de la empresa Pelpak S.A. generando una solución que perdure en el tiempo en la medida que se controla, verifica, mantiene e involucra a los procesos organizacionales. Para ello se plantean una serie de estrategias acordes a las necesidades de la empresa a partir de sus características de infraestructura, equipos y planta de producción teniendo como fundamentación teórica la Norma AIB Internacional con atención específica en los apartes que sean relevantes para cumplir con el proyecto. En la formulación de las estrategias, es fundamental garantizar la protección del envase en las etapas de mayor vulnerabilidad relacionada con la exposición a fuentes contaminantes. El alcance de este proyecto abarca la reducción de los cuerpos extraños en la planta, pues estos generan contaminación en el proceso productivo. Para lograr este resultado, se debe determinar el porqué, quiénes, en dónde y cómo se generan los elementos nocivos con el fin de eliminar, mitigar o controlar esta problemática. Esta investigación arrojó ocho estrategias a tratar, en donde el objetivo de cada una es mejorar el entorno en el cual se trabaja, evitar que el envase se contamine y lograr proteger el envase en las etapas del proceso con la identificación de los puntos críticos. El aseo y limpieza para los techos, pisos y paredes es el común denominador de las estrategias planteadas en este estudio.