Feasibility analysis of design for remanufacturing in bearing using hybrid fuzzy-topsis and taguchi optimization

The tremendous advancement in technology, productivity and improved standard of living has come at the cost of environmental deterioration, increased energy and raw material consumption. In this regard, remanufacturing is viable option to reduce energy usage, carbon footprint and raw material usage. In this manuscript, using computational intelligence techniques we try to determine the feasibility of remanufacturing in case of roller bearings. We collected used N308 bearings from 5 different Indian cities. Using Fuzzy-TOPSIS, we found that the roundness, surface roughness and weight play a vital role in design for remanufacturing of roller bearings. Change in diameter, change in thickness and change in width showed minimal influence.  We also used Taguchi analysis to reassess the problem. The roundness of inner and outer race was found to be the most influential parameters in deciding the selection of bearing for remanufacturing. The results suggest the bearing designer to design the bearing in such a way that roundness of both races will be taken cared while manufacturing a bearing. However, using Taguchi the weight of the rollers was found to be of least influence. Overall, the predictions of Taguchi analysis were found to be similar to Fuzzy-TOPSIS analysis

Automobile components procurement using a DEA-TOPSIS-FMIP approach with all-unit quantity discount and fuzzy factors

Components procurement is a crucial process in supply chain management of the automobile industry. The problem is further complicated by imprecise information and discount policies provided by suppliers. This paper aims to develop a computational approach for assisting automobile components procurement with all-unit quantity discount policy and fuzzy factors, from potential suppliers offering different product portfolios. We propose a two-stage approach consisting of a DEA-TOPSIS (data envelopment analysis procedures followed with a technique for order preference by similarity to an ideal solution) approach for screening suppliers, and subsequentially a fuzzy mixed integer programming (FMIP) model with multiple objectives for optimizing order allocations. The DEA-TOPSIS approach integrates suppliers’ comparative performance and diversity performance into an overall index that improves the ranking of potential suppliers, while the FMIP model features a soft time-window in delivery punctuality and an all-unit quantity discount function in cost. By applying it in a case of automobile components procurement, we show that this two-stage approach effectively supports decision makers in yielding procurement plans for various components offered by many potential suppliers. This paper contributes to integrating multi-attribute decision analysis approach in the form of DEA crossevaluation with TOPSIS and FMIP model for supporting components procurement decisions. First published online 19 November 202

INFERENCE CONFORMITY BASED ANALYSIS FOR EOL PRODUCT RECOVERY OPTIONS DECISION MAKING

Ph.DDOCTOR OF PHILOSOPH

On the Mitigation of Late Stage Redesign in Mechatronics Using Integrated Approaches

RÉSUMÉ Les systèmes mécatronique combinent des éléments issus du génie mécanique, électrique, contrôle et logiciel. Due à la nature multi-domaine de ces systèmes, il est nécessaire de s’assurer d’un processus de conception optimal afin de réduire le temps et le cout de développement. De ce fait, cette thèse s’intéresse aux boucles de re-conception tard durant le processus de développement. Ces boucles peuvent être causé entre autres par des interactions négatives qui affectent la performance et l’intégration des composantes et sous-systèmes et l’incertitude dans les paramètres du système. Premièrement, cette thèse propose une nouvelle méthode de modélisation qui permet d’identifier et d’évaluer les dépendances durant les phases initiales de conception. Cette méthode est ensuite utilisée dans la création d’un index qui permet de représenter le niveau total de dépendances négative du système. L’index est ensuite utilisé dans l’évaluation multicritère, ce qui permet de choisir des systèmes étant plus faciles à concevoir. Finalement, une méthode de modélisation qui permet de considérer de façon concurrente les dépendance positive et négative est présenté. Par la suite, cette thèse propose d’utiliser les nombres flous afin de traiter l’incertitude des paramètres. En premier lieu, la thèse montre que les nombres flous peuvent être utilisé afin de simuler le comportement d’un système mécatronique sujet à de l’incertitude. De plus, une méthode de conception utilisant la simulation floue est proposée afin de concevoir les systèmes mécatronique de façon robuste. De plus, les nombres floues permettent de déterminer la stabilité du système, ce qui permet le développement d’une méthodologie de conception robuste totalement intégré, qui considère à la fois l’aspect physique et contrôle du système.----------ABSTRACT Mechatronic systems are highly integrated devices, with elements from mechanical, electrical, software and control engineering. It is thus necessary to ensure a streamlined design process to reduce development time and cost. Consequently, this thesis researches on the issue of late stages redesigns in mechatronics. The late stages redesigns may occur due to problems while integrating the different components and subsystems. Two causes of these redesigns are unpredicted negative interactions between the elements of the system, and inadequate performance due to uncertainties. To deal with the issue of negative interactions, this thesis first suggests a modeling method that enables to identify and assess negative dependencies early during the design process. It is shown that the modeling method can be efficiently used to detect dependencies that would be detrimental to the system’s performance and which may require more design effort. Then, based on this modeling method, an index representing the total level of negative dependencies present within the system is proposed. The index is shown to be able to predict decrease of performance due to the negative dependencies and can thus be used as a valuable criterion during decision making. Finally, a modeling method to handle concurrently positive and negative dependencies is suggested. This modeling method is shown to have an impact on the currently existing complexity metrics and should thus allow to better represent the reality of the design. Furthermore, to deal with the issue of uncertainties affecting the performance of the system, this thesis proposes a design methodology using fuzzy numbers. First, it is shown that fuzzy numbers can be used to model and simulate the uncertain behavior of mechatronic systems while being computationally efficient. Then a robust design methodology is presented and shown to be effective in optimizing a mechatronic system while reducing the uncertainties in the performance. Furthermore, based on the use of fuzzy numbers in the modeling of the mechatronic system, it is shown that it is possible to determine the stability of the device under uncertainties. Finally, a fully integrated robust design methodology is presented, which consider both control and design parameters selection, and which can be used to mitigate late stages redesigns due to improper performance. In sum, this thesis investigates and suggests multiple integrated design solutions to mitigate late stages redesigns in the mechatronic design process

Méthode de sélection environnementale des matériaux pour la fin de vie des produits par évaluation floue.

RÉSUMÉ Ce mémoire présente les travaux de recherche effectués dans le cadre de la Maitrise sur la sélection environnementale des matériaux pour la fin de vie des produits. La revue de littérature établit l’état de l’art dans le domaine de la sélection environnementale des matériaux. Nous abordons plusieurs sujets : les différentes méthodes de sélection environnementales existantes, les différents paramètres présentés dans la littérature et la validité de ces paramètres dans le cycle de vie des produits. Par la suite nous décrivons la méthode proposée qui permet de réaliser la sélection environnementale des matériaux en conception préliminaire. Cette méthode repose sur le traitement des données par logique floue. Elle personnalise l’évaluation des matériaux selon la fin de vie du produit étudiée. La logique floue est l’élément central de cette méthode car elle permet de traiter les données disponibles en conception préliminaire, chose difficile avec les méthodes numériques traditionnelles. Le traitement des données, par logique floue, est donc explicité et détaillé. Ensuite, nous présentons l’implémentation informatique de la méthode (logiciel ECMSPEOL) réalisée pendant la Maitrise qui met en application la méthode présenté précédemment. Les différentes opérations réalisées par ECMSPEOL et leur chronologie sont également détaillées. Pour finir, deux études de cas sont présentées pour vérifier la validité de la méthode. Ainsi, deux produits aux caractéristiques différentes (un vérin monostable et un fermeporte) sont étudiés et les résultats (contenus en annexe) sont synthétisés. Finalement, nous concluons ce mémoire en proposant différentes pistes de recherches potentielles.----------ABSTRACT This Master thesis presents research conducted on the environmental selection of materials for product’s end-of-life. The literature review establishes the state of art in the field of environmental material’s selection. Several issues are studied: existing environmental materials selection methods, parameters and validity of these parameters in product’s life cycle. Subsequently, we describe the proposed method which allows designer to select materials in preliminary design. This method is based on fuzzy logic data processing. The product’s end-oflife personalizes material’s assessment to select best materials for the studied product. Fuzzy logic is the core of proposed method: it allows processing of preliminary design’s data, easier than the traditional numerical methods. Then, we present the computer implementation of the method (software ECMSPEOL) made during master’s project. The various operations performed by ECMSPEOL are also detailed. Two case studies are presented to verify method’s validity. Thus, two products with different characteristics (pneumatic cylinder and a door closer) are studied. Results (Annexe 5) are summarized and discussed. Finally, we conclude this paper by proposing different lines of potential research

Enhancing Future Skills and Entrepreneurship

This open access book presents the proceedings of the 3rd Indo-German Conference on Sustainability in Engineering held at Birla Institute of Technology and Science, Pilani, India, on September 16–17, 2019. Intended to foster the synergies between research and education, the conference is one of the joint activities of the BITS Pilani and TU Braunschweig conducted under the auspices of Indo-German Center for Sustainable Manufacturing, established in 2009. The book is divided into three sections: engineering, education and entrepreneurship, covering a range of topics, such as renewable energy forecasting, design & simulation, Industry 4.0, and soft & intelligent sensors for energy efficiency. It also includes case studies on lean and green manufacturing, and life cycle analysis of ceramic products, as well as papers on teaching/learning methods based on the use of learning factories to improve students’problem-solving and personal skills. Moreover, the book discusses high-tech ideas to help the large number of unemployed engineering graduates looking for jobs become tech entrepreneurs. Given its broad scope, it will appeal to academics and industry professionals alike

Comprehensive examination of automotive product impact. A look ahead in light of sustainable development challenges: the Magneti Marelli S.p.a business case.

Sustainable development imperatives drive industrial selection in the field of product development. Indeed, automotive productiveness plays a key-role in the worldwide trend for the transition towards a more environmentally friendly, economically affordable and socially sustainable balance. In the last few years automotive industry has been rapidly changed due to the increasingly concerned about resource depletion and GHG emissions generation. In this framework, actions addressed to reduce automotive impact has increased. To meet environmental improvement expectation a new design mind-set formula is necessary to integrate environmental attribution to component characteristic: the life cycle thinking approach. In this way, the selection of design for environment strategy is based on a balance between technological, manufacturing and sustainability aspect without shifting environmental consequences beyond company area. Magneti Marelli© Spa as a part of automotive sector has started to be committed on sustainability programs in order to reduce the impact caused by its product on the environment. The Company adopted a methodology, modeled on proposals made by scientific institutes, for the creation of its own system, devoted to obtain results, which could be measurable, understandable and implementable to their strategic plan. The well-recognized Life Cycle Sustainability Assessment methodology, was used and adapted to the company’s context for R&D applications and purposes. This effort was accomplished with the collaboration of company members at different levels (R&D, purchase, logistics, innovation) and with the stakeholders’ collaboration (suppliers of materials and semi-products, EoL management companies and vehicle users) and resulted in over fourteen projects which introduced a wide array of innovative materials, processes and technological applications. The outcome of these projects have enriched the company’s knowledge and have become the basis for more conscious and strategic choices for achieving goals relating to a reduction in product impact, thus helping to protect the planet while guaranteeing company development and progress

Advances on Mechanics, Design Engineering and Manufacturing III

This open access book gathers contributions presented at the International Joint Conference on Mechanics, Design Engineering and Advanced Manufacturing (JCM 2020), held as a web conference on June 2–4, 2020. It reports on cutting-edge topics in product design and manufacturing, such as industrial methods for integrated product and process design; innovative design; and computer-aided design. Further topics covered include virtual simulation and reverse engineering; additive manufacturing; product manufacturing; engineering methods in medicine and education; representation techniques; and nautical, aeronautics and aerospace design and modeling. The book is organized into four main parts, reflecting the focus and primary themes of the conference. The contributions presented here not only provide researchers, engineers and experts in a range of industrial engineering subfields with extensive information to support their daily work; they are also intended to stimulate new research directions, advanced applications of the methods discussed and future interdisciplinary collaborations

Advances on Mechanics, Design Engineering and Manufacturing III

This open access book gathers contributions presented at the International Joint Conference on Mechanics, Design Engineering and Advanced Manufacturing (JCM 2020), held as a web conference on June 2–4, 2020. It reports on cutting-edge topics in product design and manufacturing, such as industrial methods for integrated product and process design; innovative design; and computer-aided design. Further topics covered include virtual simulation and reverse engineering; additive manufacturing; product manufacturing; engineering methods in medicine and education; representation techniques; and nautical, aeronautics and aerospace design and modeling. The book is organized into four main parts, reflecting the focus and primary themes of the conference. The contributions presented here not only provide researchers, engineers and experts in a range of industrial engineering subfields with extensive information to support their daily work; they are also intended to stimulate new research directions, advanced applications of the methods discussed and future interdisciplinary collaborations