Implementing an Integrated Management System (IMS) at an Aerospace Manufacturing Facility

This project analyzes the challenges, issues, benefits, and lessons learned that several companies experienced while implementing integrated management systems. Based on previous experiences, this paper defines several strategies that an organization should use to increase the probability of implementing an integrated management system (IMS) successfully. Strategies include completing a feasibility analysis, creating a policy, allocating resources, developing objectives, modifying documentation, and creating a continuous monitoring process. Moreover, an organization can reduce potential obstacles by promoting a culture that encourages management commitment and employee participation. Results indicate the implementation of an IMS provides the framework to manage environmental, health, and safety programs effectively. By implementing an IMS, an organization can save time and money, as well as proactively control risk.

A Regulatory Compliance Plan for Decommissioning a Sodium Phosphate Manufacturing Plant

Sodium phosphates are a class of chemicals that have been widely employed in commercial and consumer applications. However, declining use of these chemicals due to environmental concerns has lead to restructuring within the industry that has caused, and is likely to continue to cause, reduction of sodium phosphate production capacity. Closure of a sodium phosphate manufacturing plant necessitates decommissioning and decontamination activities that are subject to a variety of federal, state, and local regulations. A compliance plan was developed to provide a blueprint for ensuring that all federal regulatory requirements are met, however, site dependent state and local requirements were excluded. The compliance plan provides a framework that addresses project team formation and project planning, regulatory requirements, identification of affected processing equipment, plant pre-shutdown activities, waste stream identification and waste management facilities, safety, training, and emergency preparedness planning, and project decommissioning remedial actions. This regulatory compliance plan will enable sodium phosphate plant operators to complete decontamination and decommissioning work in a timely, efficient, compliant, and cost effective manner.

A new paradigm: cloud agile manufacturing

Cloud Agile Manufacturing is a new paradigm proposed in this article. The main objective of Cloud Agile Manufacturing is to offer industrial production systems as a service. Thus users can access any functionality available in the cloud of manufacturing (process design, production, management, business integration, factories virtualization, etc.) without knowledge — or at least without having to be experts — in managing the required resources. The proposal takes advantage of many of the benefits that can offer technologies and models like: Business Process Management (BPM), Cloud Computing, Service Oriented Architectures (SOA) and Ontologies. To develop the proposal has been taken as a starting point the Semantic Industrial Machinery as a Service (SIMaaS) proposed in previous work. This proposal facilitates the effective integration of industrial machinery in a computing environment, offering it as a network service. The work also includes an analysis of the benefits and disadvantages of the proposal.

Cloud agile manufacturing

This paper proposes a new manufacturing paradigm, we call Cloud Agile Manufacturing, and whose principal objective is to offer industrial production systems as a service. Thus users can access any functionality available in the cloud of manufacturing (process design, production, management, business integration, factories virtualization, etc.) without knowledge — or at least without having to be experts — in managing the required resources. The proposal takes advantage of many of the benefits that can offer technologies and models like: Business Process Management (BPM), Cloud Computing, Service Oriented Architectures (SOA) and Ontologies. To develop the proposal has been taken as a starting point the Semantic Industrial Machinery as a Service (SIMaaS) proposed in previous work. This proposal facilitates the effective integration of industrial machinery in a computing environment, offering it as a network service. The work also includes an analysis of the benefits and disadvantages of the proposal.

Dynamic visual servo control of a 4-axis joint tool to track image trajectories during machining complex shapes

A large part of the new generation of computer numerical control systems has adopted an architecture based on robotic systems. This architecture improves the implementation of many manufacturing processes in terms of flexibility, efficiency, accuracy and velocity. This paper presents a 4-axis robot tool based on a joint structure whose primary use is to perform complex machining shapes in some non-contact processes. A new dynamic visual controller is proposed in order to control the 4-axis joint structure, where image information is used in the control loop to guide the robot tool in the machining task. In addition, this controller eliminates the chaotic joint behavior which appears during tracking of the quasi-repetitive trajectories required in machining processes. Moreover, this robot tool can be coupled to a manipulator robot in order to form a multi-robot platform for complex manufacturing tasks. Therefore, the robot tool could perform a machining task using a piece grasped from the workspace by a manipulator robot. This manipulator robot could be guided by using visual information given by the robot tool, thereby obtaining an intelligent multi-robot platform controlled by only one camera.

3D-based reconstruction using growing neural gas landmark: application to rapid prototyping in shoe last manufacturing

Customizing shoe manufacturing is one of the great challenges in the footwear industry. It is a production model change where design adopts not only the main role, but also the main bottleneck. It is therefore necessary to accelerate this process by improving the accuracy of current methods. Rapid prototyping techniques are based on the reuse of manufactured footwear lasts so that they can be modified with CAD systems leading rapidly to new shoe models. In this work, we present a shoe last fast reconstruction method that fits current design and manufacturing processes. The method is based on the scanning of shoe last obtaining sections and establishing a fixed number of landmarks onto those sections to reconstruct the shoe last 3D surface. Automated landmark extraction is accomplished through the use of the self-organizing network, the growing neural gas (GNG), which is able to topographically map the low dimensionality of the network to the high dimensionality of the contour manifold without requiring a priori knowledge of the input space structure. Moreover, our GNG landmark method is tolerant to noise and eliminates outliers. Our method accelerates up to 12 times the surface reconstruction and filtering processes used by the current shoe last design software. The proposed method offers higher accuracy compared with methods with similar efficiency as voxel grid.

Wages, hours and employment in American manufacturing industries July, 1914-January, 1924

Includes bibliographical references.

Wages and hours in American manufacturing industries: July, 1914 - January, 1922

National Industrial Conference Board.