Integrated design

About: Integrated design is a research topic. Over the lifetime, 4314 publications have been published within this topic receiving 52945 citations.

Real-Time Implementation of Fault-Tolerant Control Systems With Performance Optimization

Abstract: In this paper, two online schemes for an integrated design of fault-tolerant control (FTC) systems with application to Tennessee Eastman (TE) benchmark are proposed. Based on the data-driven design of the proposed fault-tolerant architecture whose core is an observer/residual generator based realization of the Youla parameterization of all stabilization controllers, FTC is achieved by an adaptive residual generator for the online identification of the fault diagnosis relevant vectors, and an iterative optimization method for system performance enhancement. The performance and effectiveness of the proposed schemes are demonstrated through the TE benchmark model.

Collaborative conceptual design—state of the art and future trends

Abstract: This paper presents a state of the art review of existing research, projects, and applications in the domain of collaborative conceptual design, based on the Internet and Web technologies. The purpose of the review is to understand the needs for conceptual engineering design, to clarify the current conceptual design practice, to classify the available technologies, and to study the future trend in this area. The emphasis of this paper is to briefly outline the methodologies, architectures, and tools developed for the projects reviewed in this paper. It also uncovers approaches to conflict resolution and team/project management, as they are vital to a successful engineering design in a collaborative environment. More than 80 journal and conference papers and about 20 projects are reviewed based on the primary focus mentioned above. The selected research works are further categorised into several areas based on the application domain, design theory, and the technology used for implementation. The selected research projects and applications are basically for, but not limited to, the collaborative conceptual design.

User-configurable MAGIC for electromagnetic PIC calculations

Abstract: MAGIC is a user-configurable code that solves Maxwell's equations together with Lorentz particle motion. A variety of 2D, finite-difference electromagnetic algorithms and 3D particle-in-cell algorithms may be combined in problem-specific ways to provide fast, accurate, steady-state and transient calculations for many research and design needs. Default configurations provide good speed and accuracy for most applications, and a library of templates offers optimized algorithm configurations for specific devices. A programmable processor named POSTER provides advanced post-analysis of the field and particle solutions. Coordinate systems, boundary conditions, geometry, and materials are specified by the user, and grid generation can be manual, user-assisted, or fully automatic. MAGIC has a fully 3D counterpart called SOS. Programs exist to connect these analysis tools to parametric and CAD input from an integrated design environment.

Modeling and design of global logistics systems: A review of integrated strategic and tactical models and design algorithms

Abstract: The overall focus of this research is to demonstrate the savings potential generated by the integration of the design of strategic global supply chain networks with the determination of tactical production–distribution allocations and transfer prices.The logistics systems design problem is defined as follows: given a set of potential suppliers, potential manufacturing facilities, and distribution centers with multiple possible configurations, and customers with deterministic demands, determine the configuration of the production–distribution system and the transfer prices between various subsidiaries of the corporation such that seasonal customer demands and service requirements are met and the after tax profit of the corporation is maximized.The after tax profit is the difference between the sales revenue minus the total system cost and taxes.The total cost is defined as the sum of supply, production, transportation, inventory, and facility costs.Two models and their associated solution algorithms will be introduced.The savings opportunities created by designing the system with a methodology that integrates strategic and tactical decisions rather than in a hierarchical fashion are demonstrated with two case studies. The first model focuses on the setting of transfer prices in a global supply chain with the objective of maximizing the after tax profit of an international corporation.The constraints mandated by the national taxing authorities create a bilinear programming formulation.We will describe a very efficient heuristic iterative solution algorithm, which alternates between the optimization of the transfer prices and the material flows.Performance and bounds for the heuristic algorithms will be discussed. The second model focuses on the production and distribution allocation in a single country system, when the customers have seasonal demands.This model also needs to be solved as a subproblem in the heuristic solution of the global transfer price model.The research develops an integrated design methodology based on primal decomposition methods for the mixed integer programming formulation.The primal decomposition allows a natural split of the production and transportation decisions and the research identifies the necessary information flows between the subsystems.The primal decomposition method also allows a very efficient solution algorithm for this general class of large mixed integer programming models.Data requirements and solution times will be discussed for a real life case study in the packaging industry. � 2002 Elsevier Science B.V. All rights reserved.

A memetic algorithm for bi-objective integrated forward/reverse logistics network design

Abstract: Logistics network design is a major strategic issue due to its impact on the efficiency and responsiveness of the supply chain. This paper proposes a model for integrated logistics network design to avoid the sub-optimality caused by a separate, sequential design of forward and reverse logistics networks. First, a bi-objective mixed integer programming formulation is developed to minimize the total costs and maximize the responsiveness of a logistics network. To find the set of non-dominated solutions, an efficient multi-objective memetic algorithm is developed. The proposed solution algorithm uses a new dynamic search strategy by employing three different local searches. To assess the quality of the novel solution approach, the quality of its Pareto-optimal solutions is compared to those generated by an existing powerful multi-objective genetic algorithm from the recent literature and to exact solutions obtained by a commercial solver.