Design and Simulation of RFID-Enabled Aircraft Reverse Logistics Network via Agent-Based Modeling

Reverse Logistics (RL) has become increasingly popular in different industries especially aerospace industry over the past decade due to the fact that RL can be a profitable and sustainable business strategy for many organizations. However, executing and fulfilling an efficient recovery network needs constructing appropriate logistics system for flows of new, used, and recovered products. On the other hand, successful RL network requires a reliable monitoring and control system. A key factor for the success and effectiveness of RL system is to conduct real-time monitoring system such as radio frequency identification (RFID) technology. The RFID system can evaluate and analyze RL performance timely so that in the case of deviation in any areas of RL, the appropriate corrective actions can be taken in a quick manner. An automated data capturing system like RFID and computer simulation techniques such as agent-based (AB), system dynamic (SD) and discrete event (DE) provide a reliable platform for effective RL tracking and control, as they can respectively decrease the time needed to obtain data and simulate various scenarios for suitable best corrective actions. The functionality of the RL system can be noticeably elevated by integrating these two systems and techniques. Besides, each computer simulation approach has its own benefits for understanding the RL network from different aspects. Therefore, in this study, after designing and constructing the RL system through the real case study from Bell Helicopter Company with the aid of unified modeling language (UML), three simulation techniques were proposed for the model. Afterwards the results of all three simulation approaches (AB, SD and DE) were compared with considering two scenarios of RL RFID-enabled and RL without RFID. The computer simulation models were developed using “AnyLogic 7.1” software. The results of the research present that with exploiting RFID technology, the total disassembly time of a single helicopter was decreased. The comparison of all three simulation methods was performed as well. Keywords: Reverse logistics (RL), RFID, aerospace industry, agent-based simulation, system dynamic simulation, discrete event simulation, AnyLogi

Resilience: A System Interpretation

Resilience has increasingly become a crucial subject to evaluate the function of various real-world systems from ecology, social sciences, and medicine to engineering, critical infrastructure, and the built environment - as our planet and its constituent systems are undergoing a rising trend of perturbations, uncertainty, and change due to natural, human and technological causes. The absence of resilience measures within systems causes the systems not only to deviate from their intended functions under perturbations but also allows the systems themselves to become inefficient and obsolete in the face of the rapidly changing requirements with considerable social, environmental, and economic consequences. Despite its ubiquitous use and practical significance, the term resilience is often poorly and inconsistently used in various disciplines, hindering its universal understanding and application. There is a broad acknowledgment in the literature of a lack of consensus on whether resilience is an inherent system characteristic or a management process. Hence, this thesis adopts a holistic approach giving resilience a system interpretation and argues that much of the resilience literature covers the existing ground in that existing engineering systems stability ideas are being reinvented. The approach used here follows modern control systems theory as the comparison framework, where each system, irrespective of its disciplinary association, is represented in terms of inputs, state, and outputs. Modern control systems theory is adopted because of its cohesiveness and universality. The resilience system interpretation framework defines resilience as adaptive systems and adaptation, where the system has the ability to respond to perturbations and changes through passive and active feedback mechanisms—returning the system state or system form to a starting position or transitioning to another suitable state or form. Various case examples, from plain lumped mass and simple pendulum dynamic systems to, traffic flow and building structure dynamic systems, are utilized to illustrate the resilience system interpretation framework proposed in the thesis. The thesis provides a conceptual cross-disciplinary system framework that offers the potential for a greater understanding of resilience and the elimination of overlap in the literature, particularly as it relates to terminology. In addition, using state-space approaches it quantitively as well as qualitatively evaluates the resilience of cross-disciplinary case systems by utilizing the system's inherent characteristics and management processes. The thesis will be of interest to both academics and practitioners involved in resilience analysis, measurement, and design across various engineering disciplines and by extension any other discipline to enable proactive responses to perturbations while actively adapting to change

Advances in Binders for Construction Materials

The global binder production for construction materials is approximately 7.5 billion tons per year, contributing ~6% to the global anthropogenic atmospheric CO2 emissions. Reducing this carbon footprint is a key aim of the construction industry, and current research focuses on developing new innovative ways to attain more sustainable binders and concrete/mortars as a real alternative to the current global demand for Portland cement.With this aim, several potential alternative binders are currently being investigated by scientists worldwide, based on calcium aluminate cement, calcium sulfoaluminate cement, alkali-activated binders, calcined clay limestone cements, nanomaterials, or supersulfated cements. This Special Issue presents contributions that address research and practical advances in i) alternative binder manufacturing processes; ii) chemical, microstructural, and structural characterization of unhydrated binders and of hydrated systems; iii) the properties and modelling of concrete and mortars; iv) applications and durability of concrete and mortars; and v) the conservation and repair of historic concrete/mortar structures using alternative binders.We believe this Special Issue will be of high interest in the binder industry and construction community, based upon the novelty and quality of the results and the real potential application of the findings to the practice and industry

Stochastic methods for improving secondary production decisions under compositional uncertainty

Thesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2009.Cataloged from PDF version of thesis.Includes bibliographical references (p. 77-80).A key element for realizing long term sustainable use of any metal will be a robust secondary recovery industry. Secondary recovery forestalls depletion of non-renewable resources and avoids the deleterious effects of extraction and winning (albeit by substituting some effects of its own). For most metals, the latter provides strong motivation for recycling; for light metals, like aluminum, the motivation is compelling. Along aluminum's life-cycle there are a variety of leverage points for increasing the usage of secondary or recycled materials. This thesis aims to improve materials decision making in two of these key areas: 1) blending decisions in manufacturing, and 2) alloy design decisions in product development. The usage of recycled aluminum in alloy blends is greatly hindered by variation in the raw material composition. Currently, to accommodate compositional variation, firms commonly set production targets well inside the window of compositional specification required for performance reasons. Window narrowing, while effective, does not make use of statistical sampling data, leading to sub-optimal usage of recycled materials. This work explores the use of stochastic programming techniques which allow explicit consideration of statistical information on composition. The computational complexity of several methods is quantified in order to select a single method for comparison to deterministic models, in this case, a chance-constrained model was optimal. The framework and a case study of cast and wrought production with available scrap materials are presented.(cont.) Results show that it is possible to increase the use of recycled material without compromising the likelihood of batch errors, when using this method compared to conventional window narrowing. The chance-constrained framework was then extended to improving the alloy design process. Currently, few systematic methods exist to measure and direct the metallurgical alloy design process to create alloys that are most able to be produced from scrap. This is due, in part, to the difficulty in evaluating such a context-dependent property as recyclability of an alloy, which will depend on the types of scraps available to producers, the compositional characteristics of those scraps, their yield, and the alloy itself. Results show that this method is effective in, a) characterizing the challenge of developing recycling-friendly alloys due to the contextual sensitivity of that property; b) demonstrating how such models can be used to evaluate the potential scrap usage of alloys; and (c) exploring the value of sensitivity analysis information to proactively identify effective alloy modifications that can drive increased potential scrap use.by Gabrielle G. Gaustad.S.M

A Critical Review on Battery Aging and State Estimation Technologies of Lithium-Ion Batteries: Prospects and Issues

Electric vehicles (EVs) have had a meteoric rise in acceptance in recent decades due to mounting worries about greenhouse gas emissions, global warming, and the depletion of fossil resource supplies because of their superior efficiency and performance. EVs have now gained widespread acceptance in the automobile industry as the most viable alternative for decreasing CO2 production. The battery is an integral ingredient of electric vehicles, and the battery management system (BMS) acts as a bridge between them. The goal of this work is to give a brief review of certain key BMS technologies, including state estimation, aging characterization methodologies, and the aging process. The consequences of battery aging limit its capacity and arise whether the battery is used or not, which is a significant downside in real-world operation. That is why this paper presents a wide range of recent research on Li-ion battery aging processes, including estimations from multiple areas. Afterward, various battery state indicators are thoroughly explained. This work will assist in defining new relevant domains and constructing commercial models and play a critical role in future research in this expanding area by providing a clear picture of the present status of estimating techniques of the major state indicators of Li-ion batteries

Génération des séquences de désassemblage et leur évaluation : Intégration dans un environnement de réalité virtuelle

Integration of disassembly operations during product design is an important issue today. It is estimated that at the earliest stages of product design, the cost of disassembly operations almost represents 30 % of its total cost. Nowadays, disassembly operation simulation of industrial products finds a strong interest in interactive simulations through immersive and real-time schemes. In this context, in the first place, this thesis presents a method for generating the feasible disassembly sequences for selective disassembly. The method is based on the lowest levels of a disassembly product graph. Instead of considering the geometric constraints for each pair of components, the proposed method considers the geometric contact and collision relationships among the components in order to generate the so-called Disassembly Geometry Contacting Graph (DGCG). The latter is then used for disassembly sequence generation thus allowing the number of possible sequences to be reduced by ignoring any components which are unrelated to the target. A simulation framework was developed integrated in a Virtual reality environment thus allowing generating the minimum number of possible disassembly sequences. Secondly, a method for disassembly operation evaluation by 3D geometric removability analysis in a Virtual environment is proposed. It is based on seven new criteria which are: visibility of a part, disassembly angles, number of tools' changes, path orientation changing, sub-assembly stability, neck score and bending score. All criteria are presented by dimensionless coefficients automatically calculated, thus allowing evaluating disassembly sequences complexity. For this purpose, a mixed virtual reality disassembly environment (VRDE) is developed based on Python programming language, utilizing VTK (Visualization Toolkit) and ODE (Open Dynamics Engine) libraries. The framework is based on STEP, WRL and STL exchange formats. The analysis results and findings demonstrate the feasibility of the proposed approach thus providing significant assistance for the evaluation of disassembly sequences during Product Development Process (PDP). Further consequences of the present work consist in ranking the criteria according to their importance. For this purpose, moderation coefficients may be allocated to each of them thus allowing a more comprehensive evaluating method.De nos jours, l'intégration des opérations de désassemblage lors de la conception des produits est un enjeu crucial. On estime que dans la phase initiale de la conception d'un produit, le coût des opérations de désassemblage représente environ 30% de son coût total. Ainsi, la simulation des opérations de désassemblage de produits industriels trouve un fort intérêt pour des simulations interactives grâce à des programmes d'immersion et en temps réel. Dans ce contexte, dans un premier temps, cette thèse présente une méthode de génération des séquences de désassemblage possibles pour le désassemblage sélectif. La méthode est basée sur les niveaux les plus bas du graphe de désassemblage des produits. Au lieu de considérer les contraintes géométriques pour chaque paire de composants, la méthode proposée tient compte des contacts (relations géométriques entre les composants) et des collisions afin de générer le Graphe Géométrique de Contacts et de Désassemblage (DGCG). Celui-ci est ensuite utilisé pour la génération des séquences de désassemblage permettant ainsi de réduite le nombre de séquences possibles en ignorant les composants non liés avec la cible. Une application de simulation a été développée, intégrée dans un environnement de réalité virtuelle (RV) permettant ainsi la génération du nombre minimum de séquences possibles de désassemblage.Dans un second temps, une méthode d'évaluation des opérations de désassemblage par analyse géométrique 3D de l'amovibilité dans un environnement RV est proposée. Elle est basée sur sept nouveaux critères qui sont: la visibilité d'une pièce, les angles de désassemblage, le nombre des changements d'outils, le changement d'orientation des trajectoires, la stabilité des sous-ensembles, les angles de rotation du cou et flexion du corps. Tous ces critères sont présentés par des coefficients sans dimension calculés automatiquement par l'application développée, permettant ainsi d'évaluer la complexité des séquences de désassemblage. A cet effet, un environnement mixte de réalité virtuelle pour le désassemblage (VRDE) est développé, basé sur le langage de programmation Python, en utilisant deux bibliothèques : VTK (Visualisation Toolkit) et ODE (Open Dynamics Engine), les formats d'échange étant fichiers: STEP, WRL et STL. L'analyse des résultats obtenus démontrent la fiabilité de l'approche proposée fournissant ainsi une aide non négligeable pour l'évaluation des séquences de désassemblage lors de processus de développement de produits (PDP). Les autres conséquences de ce travail consistent à classer les critères en fonction de leur importance. A cet effet, des coefficients de modération peuvent être attribués à chacun d'eux permettant ainsi une méthode d'évaluation plus complète

System Qualities Ontology, Tradespace and Affordability (SQOTA) Project – Phase 4

This task was proposed and established as a result of a pair of 2012 workshops sponsored by the DoD Engineered Resilient Systems technology priority area and by the SERC. The workshops focused on how best to strengthen DoD’s capabilities in dealing with its systems’ non-functional requirements, often also called system qualities, properties, levels of service, and –ilities. The term –ilities was often used during the workshops, and became the title of the resulting SERC research task: “ilities Tradespace and Affordability Project (iTAP).” As the project progressed, the term “ilities” often became a source of confusion, as in “Do your results include considerations of safety, security, resilience, etc., which don’t have “ility” in their names?” Also, as our ontology, methods, processes, and tools became of interest across the DoD and across international and standards communities, we found that the term “System Qualities” was most often used. As a result, we are changing the name of the project to “System Qualities Ontology, Tradespace, and Affordability (SQOTA).” Some of this year’s university reports still refer to the project as “iTAP.”This material is based upon work supported, in whole or in part, by the U.S. Department of Defense through the Office of the Assistant of Defense for Research and Engineering (ASD(R&E)) under Contract HQ0034-13-D-0004.This material is based upon work supported, in whole or in part, by the U.S. Department of Defense through the Office of the Assistant of Defense for Research and Engineering (ASD(R&E)) under Contract HQ0034-13-D-0004

Efficient Decision Support Systems

This series is directed to diverse managerial professionals who are leading the transformation of individual domains by using expert information and domain knowledge to drive decision support systems (DSSs). The series offers a broad range of subjects addressed in specific areas such as health care, business management, banking, agriculture, environmental improvement, natural resource and spatial management, aviation administration, and hybrid applications of information technology aimed to interdisciplinary issues. This book series is composed of three volumes: Volume 1 consists of general concepts and methodology of DSSs; Volume 2 consists of applications of DSSs in the biomedical domain; Volume 3 consists of hybrid applications of DSSs in multidisciplinary domains. The book is shaped upon decision support strategies in the new infrastructure that assists the readers in full use of the creative technology to manipulate input data and to transform information into useful decisions for decision makers