Fatores que Influenciam a flexibilidade da produção de veículos comerciais

Pós-graduação em Engenharia de Produção - FEG

Laser-Sintern. Die Schluesseltechnologie des e-Manufacturing TM

e-Manufacturing™, das ist die schnelle, flexible und kostengünstige Fertigung von Produkten, Formen/Werkzeugen oder Modellen direkt aus elektronischen Daten. e-Manufacturing™ schließt Rapid Prototyping, Rapid Tooling oder Rapid Manufacturing ein, geht aber zugleich weit über den Gedanken der schnellen Verfügbarkeit hinaus. Zwar wird auch in Zukunft die schnelle Produktentwicklung eine immer wichtigere Rolle spielen, bei der e-Manufacturing™ für ein verkürztes Time to Market sorgt, Entwicklungskosten verringert und zur Risikominimierung beiträgt. Darüber hinaus entstehen aber auch neue Geschäftsmodelle, da Kleinserienproduktion, steigende Variantenvielfalt und eine individualisierte Produktion (Mass Customization) plötzlich möglich und wirtschaftlich sind und sich neue Logistikkonzepte wie (Spare) parts on demand entwickeln. Die neue Konstruktionsfreiheit des Laser-Sinterns ermöglicht neue Produktkonzepte. Minimale Einschränkungen durch das Fertigungsverfahren erlauben funktionelle Integration und die Fertigung des „Unmöglichen“, da kreisförmige und lineare Werkzeugbewegungen das Produktdesign nicht mehr beeinflussen bzw. limitieren. Auch die Fertigungskonzepte unterliegen einem Wandel und werden deutlich flexibler. Werkzeuglose Produktion, losgrößenangepasste Fertigung und dezentrale Fertigung on demand sind die Schlagworte der Zukunft. Der vorliegende Beitrag zeigt Beispiele für den erfolgreichen kommerziellen Einsatz von Laser-Sintern in allen Phasen des Produktlebenszyklus. Der Schwerpunkt liegt dabei auf der direkten Herstellung von Funktionsteilen in der Serienfertigung. Die entscheidenden Faktoren für eine erfolgreiche Einführung und Anwendung von e-Manufacturing™ werden diskutiert. Der Beitrag zeigt auf, wie die neuesten technologischen Innovationen im Laser-Sintern, speziell zur Produktivitätssteigerung, das Spektrum der Anwendungsfelder erweitern, in denen dieses Fertigungsverfahren kostengünstige Lösungen bietet.

Control concept for autonomous changeable material flow systems

Today’s material flow systems for mass customization or dynamic productions are usually realized with manual transportation systems. However new concepts in the domain of material flow and device control like function-oriented modularization and intelligent multi-agent-systems offer the possibility to employ changeable and automated material flow systems in dynamic production structures. These systems need the ability to react on unplanned and unexpected events autonomously.

Wie und wann werden Rapid-Technologien in der Medizintechnik wirtschaftlich?

Die Dentalindustrie heutzutage steht vor einem grundlegendem Wechsel der Herstellverfahren vom handgefertigten Objekt durch den Zahntechniker zur Mass Customization mittels Rapid-Technologien. Durch fortwährende Entwicklungen im Bereich bildgebender Verfahren stehen sowohl dem Mediziner als auch für die nachfolgenden Prozeßketten in steigendem Maße 3 dimensionale Datensätze zur Verfügung.

Reconfiguration of supply chain network:an ISM-based roadmap to performance

Purpose: Short product life cycle and/or mass customization necessitate reconfiguration of operational enablers of supply chain (SC) from time to time in order to harness high levels of performance. The purpose of this paper is to identify the key operational enablers under stochastic environment on which practitioner should focus while reconfiguring a SC network. Design/methodology/approach: The paper used interpretive structural modeling (ISM) approach that presents a hierarchy-based model and the mutual relationships among the enablers. The contextual relationship needed for developing structural self-interaction matrix (SSIM) among various enablers is realized by conducting experiments through simulation of a hypothetical SC network. Findings: The research identifies various operational enablers having a high driving power towards assumed performance measures. In this regard, these enablers require maximum attention and of strategic importance while reconfiguring SC. Practical implications: ISM provides a useful tool to the SC managers to strategically adopt and focus on the key enablers which have comparatively greater potential in enhancing the SC performance under given operational settings. Originality/value: The present research realizes the importance of SC flexibility under the premise of reconfiguration of the operational units in order to harness high value of SC performance. Given the resulting digraph through ISM, the decision maker can focus the key enablers for effective reconfiguration. The study is one of the first efforts that develop contextual relations among operational enablers for SSIM matrix through integration of discrete event simulation to ISM. © Emerald Group Publishing Limited.

Holonic supply chain:a study from family-based manufacturing perspective

In the contemporary business environment, to adhere to the need of the customers, caused the shift from mass production to mass-customization. This necessitates the supply chain (SC) to be effective flexible. The purpose of this paper is to seek flexibility through adoption of family-based dispatching rules under the influence of inventory system implemented at downstream echelons of an industrial supply chain network. We compared the family-based dispatching rules in existing literature under the purview of inventory system and information sharing within a supply chain network. The dispatching rules are compared for Average Flow Time performance, which is averaged over the three product families. The performance is measured using extensive discrete event simulation process. Given the various inventory related operational factors at downstream echelons, the present paper highlights the importance of strategically adopting appropriate family-based dispatching rule at the manufacturing end. In the environment of mass customization, it becomes imperative to adopt the family-based dispatching rule from the system wide SC perspective. This warrants the application of intra as well as inter-echelon information coordination. The holonic paradigm emerges in this research stream, amidst the holistic approach and the vital systemic approach. The present research shows its novelty in triplet. Firstly, it provides leverage to manager to strategically adopting a dispatching rule from the inventory system perspective. Secondly, the findings provide direction for the attenuation of adverse impact accruing from demand amplification (bullwhip effect) in the form of inventory levels by appropriately adopting family-based dispatching rule. Thirdly, the information environment is conceptualized under the paradigm of Koestler's holonic theory.

A capability maturity model to assess supply chain performance

In an overcapacity world, where the customers can choose from many similar products to satisfy their needs, enterprises are looking for new approaches and tools that can help them not only to maintain, but also to increase their competitive edge. Innovation, flexibility, quality, and service excellence are required to, at the very least, survive the on-going transition that industry is experiencing from mass production to mass customization. In order to help these enterprises, this research develops a Supply Chain Capability Maturity Model named S(CM)2. The Supply Chain Capability Maturity Model is intended to model, analyze, and improve the supply chain management operations of an enterprise. The Supply Chain Capability Maturity Model provides a clear roadmap for enterprise improvement, covering multiple views and abstraction levels of the supply chain, and provides tools to aid the firm in making improvements. The principal research tool applied is the Delphi method, which systematically gathered the knowledge and experience of eighty eight experts in Mexico. The model is validated using a case study and interviews with experts in supply chain management. The resulting contribution is a holistic model of the supply chain integrating multiple perspectives, and providing a systematic procedure for the improvement of a company’s supply chain operations.

Branch and price solution approach for order acceptance and capacity planning in make -to -order operations

The increasing emphasis on mass customization, shortened product lifecycles, synchronized supply chains, when coupled with advances in information system, is driving most firms towards make-to-order (MTO) operations. Increasing global competition, lower profit margins, and higher customer expectations force the MTO firms to plan its capacity by managing the effective demand. The goal of this research was to maximize the operational profits of a make-to-order operation by selectively accepting incoming customer orders and simultaneously allocating capacity for them at the sales stage. ^ For integrating the two decisions, a Mixed-Integer Linear Program (MILP) was formulated which can aid an operations manager in an MTO environment to select a set of potential customer orders such that all the selected orders are fulfilled by their deadline. The proposed model combines order acceptance/rejection decision with detailed scheduling. Experiments with the formulation indicate that for larger problem sizes, the computational time required to determine an optimal solution is prohibitive. This formulation inherits a block diagonal structure, and can be decomposed into one or more sub-problems (i.e. one sub-problem for each customer order) and a master problem by applying Dantzig-Wolfe’s decomposition principles. To efficiently solve the original MILP, an exact Branch-and-Price algorithm was successfully developed. Various approximation algorithms were developed to further improve the runtime. Experiments conducted unequivocally show the efficiency of these algorithms compared to a commercial optimization solver.^ The existing literature addresses the static order acceptance problem for a single machine environment having regular capacity with an objective to maximize profits and a penalty for tardiness. This dissertation has solved the order acceptance and capacity planning problem for a job shop environment with multiple resources. Both regular and overtime resources is considered. ^ The Branch-and-Price algorithms developed in this dissertation are faster and can be incorporated in a decision support system which can be used on a daily basis to help make intelligent decisions in a MTO operation.^

Branch and Price Solution Approach for Order Acceptance and Capacity Planning in Make-to-Order Operations

The increasing emphasis on mass customization, shortened product lifecycles, synchronized supply chains, when coupled with advances in information system, is driving most firms towards make-to-order (MTO) operations. Increasing global competition, lower profit margins, and higher customer expectations force the MTO firms to plan its capacity by managing the effective demand. The goal of this research was to maximize the operational profits of a make-to-order operation by selectively accepting incoming customer orders and simultaneously allocating capacity for them at the sales stage. For integrating the two decisions, a Mixed-Integer Linear Program (MILP) was formulated which can aid an operations manager in an MTO environment to select a set of potential customer orders such that all the selected orders are fulfilled by their deadline. The proposed model combines order acceptance/rejection decision with detailed scheduling. Experiments with the formulation indicate that for larger problem sizes, the computational time required to determine an optimal solution is prohibitive. This formulation inherits a block diagonal structure, and can be decomposed into one or more sub-problems (i.e. one sub-problem for each customer order) and a master problem by applying Dantzig-Wolfe’s decomposition principles. To efficiently solve the original MILP, an exact Branch-and-Price algorithm was successfully developed. Various approximation algorithms were developed to further improve the runtime. Experiments conducted unequivocally show the efficiency of these algorithms compared to a commercial optimization solver. The existing literature addresses the static order acceptance problem for a single machine environment having regular capacity with an objective to maximize profits and a penalty for tardiness. This dissertation has solved the order acceptance and capacity planning problem for a job shop environment with multiple resources. Both regular and overtime resources is considered. The Branch-and-Price algorithms developed in this dissertation are faster and can be incorporated in a decision support system which can be used on a daily basis to help make intelligent decisions in a MTO operation.

Avaliação sistemática de uma abordagem para integração de funcionalidades em sistemas web clonados

The software product line engineering brings advantages when compared with the traditional software development regarding the mass customization of the system components. However, there are scenarios that to maintain separated clones of a software system seems to be an easier and more flexible approach to manage their variabilities of a software product line. This dissertation evaluates qualitatively an approach that aims to support the reconciliation of functionalities between cloned systems. The analyzed approach is based on mining data about the issues and source code of evolved cloned web systems. The next step is to process the merge conflicts collected by the approach and not indicated by traditional control version systems to identify potential integration problems from the cloned software systems. The results of the study show the feasibility of the approach to perform a systematic characterization and analysis of merge conflicts for large-scale web-based systems.

A Capability Maturity Model to Assess Supply Chain Performance

In an overcapacity world, where the customers can choose from many similar products to satisfy their needs, enterprises are looking for new approaches and tools that can help them not only to maintain, but also to increase their competitive edge. Innovation, flexibility, quality, and service excellence are required to, at the very least, survive the on-going transition that industry is experiencing from mass production to mass customization. In order to help these enterprises, this research develops a Supply Chain Capability Maturity Model named S(CM)2. The Supply Chain Capability Maturity Model is intended to model, analyze, and improve the supply chain management operations of an enterprise. The Supply Chain Capability Maturity Model provides a clear roadmap for enterprise improvement, covering multiple views and abstraction levels of the supply chain, and provides tools to aid the firm in making improvements. The principal research tool applied is the Delphi method, which systematically gathered the knowledge and experience of eighty eight experts in Mexico. The model is validated using a case study and interviews with experts in supply chain management. The resulting contribution is a holistic model of the supply chain integrating multiple perspectives, and providing a systematic procedure for the improvement of a company’s supply chain operations.

Configuring an open pipeline fulfilment system - a simulation study in an automotive context

Automotive producers are adopting multi-modal fulfillment models in which customers can be fulfilled by products from stock, by allocating as yet unmade products that are in the planning pipeline, or by building a product to order. This study explores how fulfillment is sensitive to several parameters of the system and how they interact with different methods for sequencing products into the production plan.

De patrones a parámetros : una evaluación de los patrones espaciales en los pabellones de la Serpentine Gallery (2000-2015)

La actual realidad socioeconómica, marcada por la (r)evolución tecnológica de los último años y la explosión demográfica y urbana, conlleva dos grandes problemas. Por un lado el cambio climático derivado de la sobreexplotación de los recursos y energías no-renovables, y por otro, la pérdida de las identidades y procesos culturales específicos provocada por la globalización. Ante ellos, diversos autores plantean sacar partido de las propias tecnologías y la nueva sociedad en red para dar una respuesta acorde al momento actual. Las herramientas computacionales permiten una mayor complejidad de los diseños alcanzando una optimización de recursos y procesos, minimizando su impacto ambiental. Frente a la producción en masa y la pérdida de identidad, el planteamiento informático de problemas globales permite pasar de la producción en masa del siglo pasado a la ‘customización’ en masa al dar respuestas específicas para cada contexto. Por otro lado es necesario que esos procesos computacionales conecten y hagan partícipes del diseño a los diferentes actores sociales implicados. Es por ello que esta investigación se basará en los patrones espaciales de Christopher Alexander y otros modelos algorítmicos de diseño por ordenador puesto que estos describen soluciones paramétricas a conflictos recurrentes de diseño de arquitectura. Su planteamiento permite que cada solución base genere respuestas específicas, a la vez que esta es corregida y optimizada por todos sus utilizadores al poder ser compartida digitalmente. Con ello se busca que el diseño de arquitectura responda a criterios objetivos basados en la experiencia y la crítica participativa y democrática basada en los patrones, de tal modo que los diseños no surjan de un planteamiento top-down impuesto y cerrado, sino que en ellos gane importancia la participación activa de los actores sociales implicados en la definición y uso de los mismos. Por último, esta investigación procura mostrar cómo los patrones pueden jugar un papel determinante en la conceptualización abstracta del diseño, mientras que otros métodos algorítmicos alcanzarán fases del proyecto más concretas. De este modo, los patrones digitales que se pretenden se centran en la customización del diseño, mientras que el uso que le dan otros autores persigue la optimización del mismo. Para ello la investigación recurrirá al análisis de los pabellones de verano de la Serpentine Gallery como casos de estudio en los que comprobar la repercusión de los patrones en el diseño de arquitectura actual y su posible adaptación al diseño paramétrico.

Intermittent Fasting Induces Hypothalamic Modifications Resulting In Low Feeding Efficiency, Low Body Mass And Overeating.

Intermittent fasting (IF) is an often-used intervention to decrease body mass. In male Sprague-Dawley rats, 24 hour cycles of IF result in light caloric restriction, reduced body mass gain, and significant decreases in the efficiency of energy conversion. Here, we study the metabolic effects of IF in order to uncover mechanisms involved in this lower energy conversion efficiency. After 3 weeks, IF animals displayed overeating during fed periods and lower body mass, accompanied by alterations in energy-related tissue mass. The lower efficiency of energy use was not due to uncoupling of muscle mitochondria. Enhanced lipid oxidation was observed during fasting days, whereas fed days were accompanied by higher metabolic rates. Furthermore, an increased expression of orexigenic neurotransmitters AGRP and NPY in the hypothalamus of IF animals was found, even on feeding days, which could explain the overeating pattern. Together, these effects provide a mechanistic explanation for the lower efficiency of energy conversion observed. Overall, we find that IF promotes changes in hypothalamic function that explain differences in body mass and caloric intake.

Dielectron Mass Spectra From Au+au Collisions At √[s(nn)]=200 gev.

We report the STAR measurements of dielectron (e(+)e(-)) production at midrapidity (|y(ee)|<1) in Au+Au collisions at √[s(NN)]=200  GeV. The measurements are evaluated in different invariant mass regions with a focus on 0.30-0.76 (ρ-like), 0.76-0.80 (ω-like), and 0.98-1.05 (ϕ-like)   GeV/c(2). The spectrum in the ω-like and ϕ-like regions can be well described by the hadronic cocktail simulation. In the ρ-like region, however, the vacuum ρ spectral function cannot describe the shape of the dielectron excess. In this range, an enhancement of 1.77±0.11(stat)±0.24(syst)±0.33(cocktail) is determined with respect to the hadronic cocktail simulation that excludes the ρ meson. The excess yield in the ρ-like region increases with the number of collision participants faster than the ω and ϕ yields. Theoretical models with broadened ρ contributions through interactions with constituents in the hot QCD medium provide a consistent description of the dilepton mass spectra for the measurement presented here and the earlier data at the Super Proton Synchrotron energies.