Littérature scientifique sur le sujet « Production planning. Multidisciplinary design optimization. New products »
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Articles de revues sur le sujet "Production planning. Multidisciplinary design optimization. New products"
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Hong, G., P. Dean, W. Yang, Y. L. Tu et D. Xue. « Identification of the Optimal Design and its Production Process for One-of-a-Kind Production ». Advanced Materials Research 44-46 (juin 2008) : 607–17. http://dx.doi.org/10.4028/www.scientific.net/amr.44-46.607.
Texte intégralRésumé :
One-of-a-kind production (OKP) is a new manufacturing paradigm to produce customized products based on requirements of individual customers while maintaining the quality and efficiency of mass production. In this research, a computer-aided optimal product design and process planning approach is developed to support OKP product design and manufacture to satisfy individual customer requirements with near to mass production efficiency. In this work, a hybrid AND-OR graph is developed to model the variations of design configurations/parameters and manufacturing processes/parameters in generic product family. Since different design configurations and parameters can be created from the same customer requirements, and each design can be further achieved through alternative manufacturing processes and parameters, co-evolutionary genetic programming and numerical optimization are employed to identify the optimal product design configuration/parameters and manufacturing process/parameters. A case study to identify the optimal design configuration/parameters and manufacturing process/parameters of custom window products in an industrial company is introduced to demonstrate the effectiveness of the developed method.
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Lütjen, Michael, et Abderrahim Ait Alla. « Risk-Optimized Design of Production Systems by Use of GRAMOSA ». Mathematical Problems in Engineering 2014 (2014) : 1–9. http://dx.doi.org/10.1155/2014/934176.
Texte intégralRésumé :
Today production and logistic systems are getting more complex. This is a problem which the planning and design of such systems have to deal with. One main issue of production system development in series production is the planning of production processes and systems under uncertainty. New and existing production technologies are often not fully adoptable to new products. This is why some of the main characteristics, like, for example, cost, time, or quality, are not definable at the beginning. Only value ranges and probabilities can be estimated. However, the adaptation process is controllable, which means that the adaptation results are depending on the existing development budget and its resources. This paper presents an approach for the optimized allocation of development resources regarding the adaptation risks of production technologies and processes. The modeling concept GRAMOSA is used for integrated modeling and discrete event-based simulation of the aspired production system. To this end a domain-specific modeling language (DSML) is applied. The further risk-based analysis of the simulation results and the optimized allocation of the development budget are done by use of mathematical optimization.
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Федорович, Олег Євгенович, Олег Семенович Уруський, Людмила Миколаївна Лутай et Ксенія Олегівна Западня. « ОПТИМІЗАЦІЯ ЖИТТЄВОГО ЦИКЛУ СТВОРЕННЯ НОВОЇ ТЕХНІКИ В УМОВАХ КОНКУРЕНЦІЇ ТА СТОХАСТИЧНОЇ ПОВЕДІНКИ РИНКУ ЗБУТУ ВИСОКОТЕХНОЛОГІЧНОЇ ПРОДУКЦІЇ ». Aerospace technic and technology, no 6 (27 novembre 2020) : 80–85. http://dx.doi.org/10.32620/aktt.2020.6.09.
Texte intégralRésumé :
The task to optimize the life cycle of new technique (aerospace, engineering products, etc.) in difficult economic conditions is stated and solved. The aim of the study is to develop a method to reduce the life cycle of complex technique creation. The subject of the research is the planning and management of the life cycle of complex technique in a highly competitive environment and stochastic behavior of high-tech products market. The paper shows the contradictions between the planned nature of modern production, which operates in conditions of Industry 4.0 and the stochastic behavior of the market. This contradiction leads to the relevance of short-term production plans with minimal risks. Therefore, the planning of the production system is carried out based on the portfolio that can be done in the short term. When planning new orders, it is necessary to shorten the life cycle of new equipment creation by analyzing the main stages: design, preparation of production, production. The optimization model to select the measures (project actions) at the initial stage of the life cycle is proposed. In order to generate the set from which the alternative options for activities are selected, expert assessments being ordered on the basis of the importance of time indicators, competitiveness, innovation, costs and risks are used. Simulation of the shortening of the new technique creation life cycle at a time of capacity constraints of production that creates high-tech products is carried out. The following mathematical models and methods are used: system analysis, optimization using integer programming, multi-criteria optimization, expert assessments, simulation modeling, agent-based modeling, risk assessment. The method allows to create competitive products at a time of capacity constraints by means of planning to shorten the life cycle of new technique creation and resources management.
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Wang, Qi, Dunbing Tang, Shipei Li, Jun Yang, Miguel Salido, Adriana Giret et Haihua Zhu. « An Optimization Approach for the Coordinated Low-Carbon Design of Product Family and Remanufactured Products ». Sustainability 11, no 2 (16 janvier 2019) : 460. http://dx.doi.org/10.3390/su11020460.
Texte intégralRésumé :
With increasingly stringent environmental regulations on emission standards, enterprises and investigators are looking for effective ways to decrease GHG emission from products. As an important method for reducing GHG emission of products, low-carbon product family design has attracted more and more attention. Existing research, related to low-carbon product family design, did not take into account remanufactured products. Nowadays, it is popular to launch remanufactured products for environmental benefit and meeting customer needs. On the one hand, the design of remanufactured products is influenced by product family design. On the other hand, the launch of remanufactured products may cannibalize the sale of new products. Thus, the design of remanufactured products should be considered together with the product family design for obtaining the maximum profit and reducing the GHG emission as soon as possible. The purpose of this paper is to present an optimization model to concurrently determine product family design, remanufactured products planning and remanufacturing parameters selection with consideration of the customer preference, the total profit of a company and the total GHG emission from production. A genetic algorithm is applied to solve the optimization problem. The proposed method can help decision-makers to simultaneously determine the design of a product family and remanufactured products with a better trade-off between profit and environmental impact. Finally, a case study is performed to demonstrate the effectiveness of the presented approach.
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Fedorovich, Oleg, et Liudmyla Lutai. « Multiagent modeling of production logistics in the creation of high-tech products ». Aerospace technic and technology, no 2 (28 avril 2021) : 74–83. http://dx.doi.org/10.32620/aktt.2021.2.09.
Texte intégralRésumé :
Economic instability and stochastic behavior of the market lead to the need to develop new methods and models to reduce the life cycle of high-tech products. Therefore, the urgent task is a detailed consideration and analysis of each main stage of the life cycle of creating complex technical products. The current study develops a method for optimizing production processes. The subject of research is a production planning and management as the main stage of the life cycle. The method proposed in the publication is based on the component architecture of the created innovative high-tech product, which is obtained because of decomposition at the initial stage of design. Modern production is of distributed nature. While planning production, it is necessary to pay attention to the management and synchronization of material and other types of flows in the logistics chain of distributed production. To form a set of basic and subsidiary operations of distributed production, it is necessary to consider the logistical features, the level of decomposition of the component architecture of the created product, as well as the type of component in the production cycle. Logistics operations are conducted following the requirements for the relevant indicators, namely, the cost of the operation, quality, competitiveness, innovation, the risk of the operation. The main criterion for optimization is the duration of operations. The work uses multi-agent simulation modeling of a sequential logistics chain of production processes, as well as mathematical models and methods: system analysis, optimization using integer programming, multi-criteria optimization, and expert evaluations. The method reduces the duration of the production cycle for the manufacture of individual components of the complex architecture of high-tech products by determining the optimal set of production and ancillary logistics operations for each component, considering the requirements for key production indicators, which minimize production time of high-tech products.
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Kwak, Minjung. « Optimal Line Design of New and Remanufactured Products : A Model for Maximum Profit and Market Share with Environmental Consideration ». Sustainability 10, no 11 (19 novembre 2018) : 4283. http://dx.doi.org/10.3390/su10114283.
Texte intégralRésumé :
For original equipment manufacturers (OEMs), producing a line of new and remanufactured products can be an effective strategy for improving the sustainability of their business. The potential cannibalization of new product sales and the technological obsolescence of used products, however, can create barriers for OEMs to embrace remanufacturing. In order to address these challenges in OEM remanufacturing, this paper proposes a mixed-integer programming model for the optimal line design of new and remanufactured products. Aiming at two objectives, i.e., maximizing the total profit and maximizing the total market share, the model simultaneously optimizes a line of new and remanufactured products in terms of their (1) design specifications (including an upgrade plan for the remanufactured product), (2) selling prices, and (3) production quantities and the detailed production plan. With the simultaneous optimization, the model suggests an optimal way of differentiating the new and remanufactured products in order to overcome the cannibalization and obsolescence effects and to maximize the total profit and/or market share. The model also accounts for environmental impact, stipulating that the total environmental impact of manufacturing remains under a certain limit. To demonstrate the applicability and effectiveness of the model, a case study is presented using the example of a desktop computer.
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Niderla, Jonrad, Tomasz Rymarczyk et Jan Sikora. « MANUFACTURING PLANNING AND CONTROL SYSTEM USING TOMOGRAPHIC SENSORS ». Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska 8, no 3 (25 septembre 2018) : 29–34. http://dx.doi.org/10.5604/01.3001.0012.5280.
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The article presents an idea of a production process control system. Advanced automation and control of production processes play a key role in maintaining competitiveness. The proposed solution consists of sensor networks for measurement process parameters, production resources and equipment state. The system uses wired and wireless communication, which gives possibility to acquisition data from existing in enterprise sensors and systems as well as acquisition data from new systems and sensors used to measure all processes, starting from production preparation to the final product. The solution contains process tomography sensors based on electrical capacitance tomography, electrical impedance tomography and ultrasound tomography. The use of tomographic methods enables to manage the intelligent structure of the companies in terms of processes and products. Industrial tomography enables observation of physical and chemical phenomena without the need to penetrate inside. It will enable the optimization and auto-optimization of design processes and production. Such solutions can operate autonomously, monitor and control measurements. All sensors return to the system continuous data about state of processes in some technologically closed objects like fermenters. Process tomography can also be used to acquisition data about a flow of liquids and loose ingredients in pipeline based on transport systems. Data acquired from sensors are collected in data warehouses in order to future processing and building the knowledge base. The results of the data analysis are showed in user control panels and are used directly in the control of the production process to increase the efficiency and quality of the products. Control methods cover issues related to the processing of data obtained from various sensors located at nodes. Monitoring takes place within the scope of acquired and processed data and parameter automation.
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Shabbir, Muhammad Salman, Ahmed Faisal Siddiqi, Lis M. Yapanto, Evgeny E. Tonkov, Andrey Leonidovich Poltarykhin, Anna Valeryevna Pilyugina, Aleksandr Mikhailovich Petrov, Amin Foroughi et Dinara A. Valiullina. « Closed-Loop Supply Chain Design and Pricing in Competitive Conditions by Considering the Variable Value of Return Products Using the Whale Optimization Algorithm ». Sustainability 13, no 12 (11 juin 2021) : 6663. http://dx.doi.org/10.3390/su13126663.
Texte intégralRésumé :
In today’s competitive environment, organizations, in addition to trying to improve their production conditions, have a special focus on their supply chain components. Cooperation between supply chain members always reduces unforeseen costs and speeds up the response to customer demand. In the new situation, according to the category of return products and their reprocessing, supply chains have found a closed-loop structure. In this research, the aim was to design a closed-loop supply chain in competitive conditions. For this purpose, the key decisions of this chain included locating retail centers, adjusting the inventory of chain members, and selling prices of final products, optimally determined. For this purpose, a nonlinear integer mathematical model is presented. One of the most important innovations of this research was considering the variable value for return products. Then, in order to solve the proposed model, a whale optimization algorithm was developed. Numerical results from the sample examples showed that the whale algorithm had a very good performance in terms of response quality and speed-of-action in finding the optimal solution to this problem.
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Shinoda, Kentaro, Hiroaki Noda, Koichi Ohtomi, Takayuki Yamada et Jun Akedo. « Promotion of Knowledge and Technology Transfer Towards Innovative Manufacturing Process : Case Study of New Hybrid Coating Process ». International Journal of Automation Technology 13, no 3 (5 mai 2019) : 419–31. http://dx.doi.org/10.20965/ijat.2019.p0419.
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A new, multi-dimensional, additive manufacturing process for fine ceramics was proposed and developed as part of a national project in Japan. The process consists of three-dimensional printing and two-dimensional coating of fine ceramics. A new coating process, hybrid aerosol deposition (HAD), was proposed as the ceramic coating process. The HAD process is a hybrid of aerosol deposition (AD) and plasma spray. Such new technologies, however, usually take a long time to move from first discovery to use in producing a commercial product. For example, a past study showed that it took nearly 15 years from the invention of the AD process to the time it became a technology used at an industrial company. Therefore, it is very important to consider how to accelerate the learning and technological transfer of a new process to industry in addition to how to develop new processes once they emerge. In this study, a new scheme, a coating hub, is proposed to promote the transfer of the HAD process to industrial adoption. In the coating hub, a collaboration scheme for companies to get interest of the technology, even in the early stages of technological development, is considered. Here, needs-seeds matching, reliable relationships, intellectual property, and the generalization of technology are considered. Another important scheme of the coating hub is to try to couple design with manufacturing. Here, product design tools for agile production are provided. In order to attract and evaluate consumers for targeted products, a Kansei delight design based on the Kano model is introduced. A delight map viewer is provided to visualize potential consumers’ delight factors. Detailed planning from the early trial stage is introduced with the viewer. A topology optimization tool is also provided in the coating hub as a design tool. In order to validate this coating hub concept, a ceramic frying pan is designed as a case study. The delight map viewer proves effective for those who are not design professionals to consider the attractiveness of products based on user evaluation. The coupling of the topology optimization tool is also useful for the multidimensional additive manufacturing of ceramics proposed in this study. This case study implies that even a small manufacturer could design a new product by utilizing the coating hub concept. It would give many new opportunities not only to big manufactures interested in high-end business-to-business components but also to supporting industries and even to individuals to utilize new emerging coating technologies.
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Wu, Yongming, Xudong Zhao, Yanxia Xu et Yuling Chen. « A flexible planning methodology for product family assembly line based on improved NSGA_II ». Assembly Automation 40, no 4 (23 mai 2020) : 625–39. http://dx.doi.org/10.1108/aa-05-2019-0098.
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Purpose The product family assembly line (PFAL) is a mixed model-assembly line, which is widely used in mass customization and intelligent manufacturing. The purpose of this paper is to study the problem of PFAL, a flexible (evolution) planning method to respond to product evolution for PFAL, to focus on product data analysis and evolution planning method. Design/methodology/approach The evolution balancing model for PFAL is established and an improved NSGA_II (INSGA_II) is proposed. From the perspective of data analysis, dynamic characteristics of PFAL are researched and analyzed. Especially the tasks, which stability is considered, can be divided into a platform and individual task. In INSGA_II algorithm, a new density selection and a decoding method based on sorting algorithms are proposed to compensate for the lack of traditional algorithms. Findings The effectiveness and feasibility of the method are validated by an example of PFAL evolution planning for a family of similar mechanical products. The optimized efficiency is significantly improved using INSGA_II proposed in this paper and the evolution planning model proposed has a stronger ability to respond to product evolution, which maximizes business performance over an effective period of time. Originality/value The assembly line designers and managers in discrete manufacturing companies can obtain an optimal solution for PFAL planning through the evolution planning model and INSGA-II proposed in this paper. Then, this planning model and optimization method have been successfully applied in the production of small wheel loaders.
Thèses sur le sujet "Production planning. Multidisciplinary design optimization. New products"
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Parkinson, Jonathan R. « Optimizing product variant placement to satisfy market demand / ». Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd1805.pdf.
Texte intégralChapitres de livres sur le sujet "Production planning. Multidisciplinary design optimization. New products"
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Bogataj, David, et Damjana Drobne. « Control of Perishable Goods in Cold Logistic Chains by Bionanosensors ». Dans Materials Science and Engineering, 471–97. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1798-6.ch019.
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Nanotechnology can contribute to food security in supply chains of agri production-consumption systems. The unique properties of nanoparticles have stimulated the increasing interest in their application as biosensing. Biosensing devices are designed for the biological recognition of events and signal transduction. Many types of nanoparticles can be used as biosensors, but gold nanoparticles have sparked most interest. In the work presented here, we will address the problem of fruit and vegetable decay and rotting during transportation and storage, which could be easily generalized also onto post-harvest loss prevention in general. During the process of rotting, different compounds, including different gasses, are released into the environment. The application of sensitive bionanosensors in the storage/transport containers can detect any changes due to fruit and vegetable decay and transduce the signal. The goal of this is to reduce the logistics cost for this items. Therefore, our approach requires a multidisciplinary and an interdisciplinary approach in science and technology. The cold supply chain is namely a science, a technology and a process which combines applied bio-nanotechnology, innovations in the industrial engineering of cooling processes including sensors for temperature and humidity measurements, transportation, and applied mathematics. It is a science, since it requires the understanding of chemical and biological processes linked to perishability and the systems theory which enables the developing of a theoretical framework for the control of systems with perturbed time-lags. Secondly, it is a technology developed in engineering which relies on the physical means to assure appropriate temperature conditions along the CSC and, thirdly, it is also a process, since a series of tasks must be performed to prepare, store, and transport the cargo as well as monitor the temperature and humidity of sensitive cargo and give proper feedback control, as it will be outlined in this chapter. Therefore, we shall discuss how to break the silos of separated knowledge to build an interdisciplinary and multidisciplinary science of post-harvest loss prevention. Considering the sensors as floating activity cells, modelled as floating nodes, in a graph of such a system, an extended Material Requirement Planning (MRP) theory will be described which will make it possible to determine the optimal feedback control in post-harvest loss prevention, based on bionanosensors. Therefore, we present also a model how to use nanotechnology from the packaging facility to the final retail. Any changes in time, distance, humidity or temperature in the chain could cause the Net Present Value (NPV) of the activities and their added value in the supply chain to be perturbed, as presented in the subchapter. In this chapter we give the answers to the questions, how to measure the effects of some perturbations in a supply chain on the stability of perishable agricultural goods in such systems and how nanotechnology can contribute with the appropriate packaging and control which preserves the required level of quality and quantity of the product at the final delivery. The presented model will not include multicriteria optimization but will stay at the NPV approach. But the annuity stream achieved by improved sensing and feedback control could be easily combined with environmental and medical/health criteria. An interdisciplinary perspective of industrial engineering and management demonstrates how the development of creative ideas born in separate research fields can be liaised into an innovative design of smart control devices and their installation in trucks and warehouses. These innovative technologies could contribute to an increase in the NPV of activities in the supply chains of perishable goods in general.
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Marcinkowski, Bartosz, Sebastian Narojczyk, Dariusz Nowak et Vasyl Zalizko. « Modern methods used in production-operations management ». Dans Production–operation management. The chosen aspects, 137–81. Wydawnictwo Uniwersytetu Ekonomicznego w Poznaniu, 2021. http://dx.doi.org/10.18559/978-83-8211-059-3/05.
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Climate change, resource depletion, technical progress, growing consumer awareness and changing requirements causes companies to look for new production methods. They may concern various areas of the company’s activity, starting from product design, procurement organization, optimization of production processes, control of manufactured products and services, through improvement of work organization and reduction of production costs, and ending with the implementation of modern solutions based on digital technologies. The purpose of implementing new production methods is to improve labour mobility, optimization of the use of raw materials and resources, costs reduction, increase efficiency, productivity, etc. In the literature, there are many different types of methods that can be used by modern enterprises. It is practically impossible to present all methods in this study. The authors focused on the presentation of selected methods, which are characterized on the one hand by innovation and, on the other hand, by the possibility of implementation. Particular attention should be paid to methods focused on environmental aspects. This group presents basic information on environment-conscious manufacturing (ECM), life-cycle assessment (LCA) and waste management and recycling. These methods allow to implement the concept of sustainable development and are directly related to the 17 goals set out in the 2030 Agenda for Sustainable Development and adopted by UN member states. In the group of methods related to next generation production management, the focus was on Matrix shop floor control and cooperative manufacturing. Of particular importance is cooperative management, because cooperation in practice is considered as a specific resource and one of the most important factors of a competitive position. The next group of methods concerned production planning and control. Drum Buffer Rope (DBR) and theory of constraints (TOC) were discussed as part of it. From the company’s point of view, methods related to manufacturing processes are very important, including group technology (GT) and cellular manufacturing (CM). Another group focused on commercial aspects, including demand chain management (DCM) and competitive intelligence (CI). The chapter also presents methods related to auxiliary software support, advanced organizational manufacturing and focused on product design. In the first case, Electronic Data Interchange (EDI) was discussed, in the second, virtual enterprises (VE) and World Class Manufacturing (WCM) were presented, and in the third, the assumptions concerning the Quality Function Deployment (QFD) and House of Quality (HOQ) method were shown. Additionally, Statistical Process Control (SPC) and Computer-Aided Process Planning (CAPP) are discussed within the framework of methods focused on cost and quality manufacturing.
Actes de conférences sur le sujet "Production planning. Multidisciplinary design optimization. New products"
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Hong, G., P. R. Dean, W. Yang, Y. L. Tu et D. Xue. « Integrated Optimal Product Design and Process Planning for One-of-a-Kind Production ». Dans ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49141.
Texte intégralRésumé :
One-of-a-kind production (OKP) is a new manufacturing paradigm to produce customized products based on requirements of individual customers while maintaining the quality and efficiency of mass production. In this research, an integrated optimal product design and process planning approach is developed to satisfy customer requirements considering design and manufacturing constraints. In this work, a hybrid AND-OR graph is introduced to model the variations of design configurations/parameters and manufacturing processes/parameters in generic product family. Since different design configurations and parameters can be created from the same customer requirements, and each design can be further achieved through alternative manufacturing processes and parameters, co-evolutionary genetic programming and numerical optimization are employed to identify the optimal product design configuration/parameters and manufacturing process/parameters. An industrial case study to identify the optimal design configuration/parameters and manufacturing process/parameters of custom window products in a local company is introduced to demonstrate the effectiveness of the developed method.
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Kwak, Minjung, et Harrison M. Kim. « To Extend, or to Shorten : Optimal Lifetime Planning ». Dans ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70546.
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Extending the life of a product through remanufacturing or refurbishing is generally regarded as being “greener” than new production, as it avoids the resource consumption and waste generation associated with the new production; however, when considering improved performance of new products, extending the lifetime of less efficient, less productive old products may not always be greener than new production. Shortening the product’s life by early replacement with a newer, more efficient product can be a better option, as “Cash-for-Clunker” programs have claimed. This paper presents a generic model to decide optimal lifetime strategy for a product. Three different lifetime strategies—to maintain, to extend, and to shorten the current lifetime—are compared from an environmental perspective, for a given time horizon. The average environmental impact per unit production is used as the basis for a fair comparison. Applied with an optimization technique, the model can also identify the optimal lifetime length of a product. To illustrate, the developed model is applied to an example of complex heavy-duty, off-road equipment.
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Zahid, Taiba, et Aamer A. Baqai. « Multi-Criteria Optimization of Process Plans for Reconfigirable Manufacturing Systems : An Evolutionary Approach ». Dans ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-64560.
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Production systems have developed over the years due to changing environment, external and internal drivers and conditions like new technologies, developed products and customer needs. These needs were the main drivers for integrated and evolved manufacturing systems which can be more responsive and customer focused. Prototypes of manufacturing industries which have been recently introduced as flexible and reconfigurable manufacturing systems are responding to these recent needs in peculiar ways focusing not only on product design level but also on integrated manufacturing systems and process planning level. In this work, a methodology will be presented to solve the NP-Hard problem of process planning through evolutionary optimization using Genetic Algorithms (GA) to generate and then find the optimized process plan for a part or a part family. For the creation of initial population without violating the logical or geometrical constraints, a ranked matrix based on precedence would be developed that will called as precedence group matrix (PGM). Fitness will be evaluated on the basis of setup and tool change matrices thus, making it a combinatorial optimization problem. Tool approach direction (TAD) will be assigned to each operation for generation of setup change matrix. Genetic operators like crossover, mutation and selection will be revised in order to maintain geometrical and logical constraints that come across in machining of the part. Position wise exchange will be used for crossover. A novel strategy has been proposed to check the conformance of new solution after mutation. To avoid the loss of good solutions with higher fitness value, elitist model has been proposed for selection purposes. Furthermore, a technique will be presented in order to achieve reconfigurability and responsiveness to accommodate new features in the already generated process plan, thus creating a hybrid between generative and variant process planning approach.
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Trancossi, Michele, et Jose C. Pascoa. « Optimized Modular Design for Energy Efficiency : The Case of an Innovative Electric Hybrid Vehicle Design ». Dans ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-65430.
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Modular Design has made an important contribution to the industrial evolution, increase of quality of products and goods and to economic development. It has produced an important evolution in design (technical modularity), in the organization of production and of companies. It allowed going beyond vertical integration, by fostering vertical specialization in both manufacturing and innovation. Several authors are appointing important question on the modular approach. They move observations of different nature concluding that the enthusiasm for modularity has gone too far. One of the critical positions sustains that modular design has imposed technical choices that conflicts with energy efficiency in vehicle design such as a gradual increase of weight over time and the consequent reduction of potential gains in terms of energy consumption and environmental footprint of vehicles. This paper agrees with some arguments of the revisionist literature in cautioning against errors that can be produced by a pervasive modularity. But it moves from an energetic analysis and has not the objective of defining an alternative theory. More modestly, it aims to present a possible way for coupling modular design with energy optimization in the case of an electric vehicle. The initial inspiration can be of this case study is Bejan’s preliminary modular definition of constructal optimization, which can fit perfectly with industrial modular design. Even if this modular optimization does not have the ambition of defining the best possible solution to a complex design problem, such as Multidisciplinary Design Optimization has, it allows defining configuration that can simply evolve over time by mean of a step by step optimization of the critical components that influences the behavior of a complex industrial system. It reveals then to be applicable to the concept of vehicle platform that is today widely in use. The specific test case is the design of an electric city vehicle which has been optimized by a step applying this modular optimization approach. This paper has also a romantic value because it ha taken the move from the emotion that has been caused by the stop to the production of an extraordinary myth, such as Land Rover Defender. 70 years of production without important changes means that Defender has been not only the most successful British vehicle, but also that it has been a fundamental part of our way of living. This extraordinary longevity is an extraordinary technical and cultural heritage to our time. This decision forces the authors to try to analyze the conceptual modular design of a vehicle that can compete with Defender in terms of use and performances. Results have been surprising demonstrating that the use of industrial grade components and their accurate choice will allow defining new vehicle platforms that can radically improve energy efficiency of vehicles.
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Petiau, Christian. « Concurrent Designing of Airframes : State of the Art and Trends ». Dans ASME 1994 Design Technical Conferences collocated with the ASME 1994 International Computers in Engineering Conference and Exhibition and the ASME 1994 8th Annual Database Symposium. American Society of Mechanical Engineers, 1994. http://dx.doi.org/10.1115/detc1994-0056.
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Abstract We will first recall that the organization of airframe designing stands in direct relation to the performance capabilities of available tools, which is, in fact, what determines the number and the nature of project iterations. We then present and analyze an organization type which can nowadays be recommended in view of the currently available CAD, computation and mathematical optimization means. This leads to a first design which is followed by experimental verification, with a key role for flight tests. The final design is checked with the aid of computation models that have been calibrated with the results of the performed tests. We will then examine new tools, since they are factors in the future evolution of the design methodology, including: • availability of the “design history”, as a set of all data of the whole process, • structure optimization with parametric CAD and multidisciplinary optimization • “feature” modeling • enhancement of the computation methods As a conclusion, we show that significant gains in terms of productivity and quality can be expected from these new products, both at design and at production level. What remains, however, to be found, are the most appropriate concurrent engineering organizations that are best suited to these new tools.
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Maksimov, Yuri, Mars Khasanov, Aleksander Blyablyas, Sergey Vershinin, Evgeny Ognev et Roman Starostenko. « A Revolutionary Approach to Meeting Technological Challenges ». Dans SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/206210-ms.
Texte intégralRésumé :
Abstract Gazprom Neft Science and Technology Center tailors various system engineering methods and other practices to the agenda of oil and gas industry. Resulting consistent approaches will produce a sort of work book enabling management of complex projects throughout the Upstream perimeter. Value-Driven Engineering is a strategic approach to system engineering that optimizes several disciplines within a single model. For example, complex project components are broken down into simpler elements, making it easier to find responsible action officers. Planning is broken down into phases that make it easier to meet the assigned deadlines. It allows you to fragmentize the end product at the design and management phase with a view to edit the product's configuration during the work. Essentially, the VDE approach best resembles a step-by-step guide to putting together a construction made up of multiple elements: without this guide, building the elements into one piece is a much harder job. System engineering is being successfully employed by NASA and aircraft industry today. The approach helps bring together numerous correlated technologies in spacecraft and aircraft building. In the oil industry, BP and Shell are the pioneers in using VDE. Seeking to tailor the system engineering approaches to the applied problems of Gazprom Neft, the Company engineers deliver work in several stages. Stage one is a look back study of projects that covers all the aspects of oil production, from seismic survey to field operation. To build the optimal concept, a project team studies special literature and existing practices in related sectors, essentially among foreign counterparts. The Company has already analyzed the existing research breakthroughs, best practices and digital tools. Even though VDE will chiefly focus on the development of new reservoirs, its individual practices may be successfully utilized at existing assets. Oil and gas production system is growing more complex every day because of the number of control elements and uncertainties that the oil and gas Company has to face at the early stages of planning a future asset. Development of each product, from concept to final implementation, involves a number of lifecycle stages; the sequence of these stages and the necessary toolkit for each stage is identified by the area of expertise known as system engineering. System engineering works perfectly if a certain product or system has existing equivalents, but engineers today may have to handle their tasks in absence of equivalent solutions, which necessitates engagement of creative competences. Development of such competences and inventive problem solving are in the focus of the area of expertise known as creative problem solving that relies on the TRIZ methods (TRIZ = theory of inventive problem solving). Technology intelligence is the area of expertise that focuses on aggregation of experience and employment of solutions from related industries or even from fundamental science. It allows engineering teams to work in an orderly and consistent fashion to find appropriate solutions in nature or in other areas of expertise and to accumulate such solutions in the Company's knowledge cloud. Development of complex systems and products, which include reservoir management, requires multidisciplinary engineering teams. An area of expertise known as team leadership is designed to make collaboration among team members more efficient. Value-Driven Engineering (VDE) is premised on the fundamental principles of systematic thinking of an engineer and human creativity. The conceptual framework of Value-Driven Engineering is shown in Figure 1. Figure 1 Conceptual framework of Value-Driven Engineering The concept involves four key areas of expertise: System engineering, i.e. the set of practices to control the technological system/product development process; Inventive problem solving, i.e. the methods and tools used to catalyze creative competence and problem solving skills; Technology intelligence, i.e. management of comprehensive scouting for human resources and new technologies; Team leadership, i.e. step-by-step guide to transform a group of specialists into a successful team by means of identifying the optimal team size and balance of roles and building a leadership system (goal, mission). This article provides a detailed outlook on the above methods and practices of tackling the challenges faced by the oil and gas industry.