Thematische Bibliographien / Production line optimization

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Auswahl der wissenschaftlichen Literatur zum Thema „Production line optimization“

Autor: Grafiati

Veröffentlicht am 29. Juni 2021

Zuletzt aktualisiert am 18. Februar 2022

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Zeitschriftenartikel zum Thema "Production line optimization"

Pettersson, Jens, Ulf Persson, Thomas Lindberg, Lars Ledung und Xiaojing Zhang. „ON-LINE PULP MILL PRODUCTION OPTIMIZATION“. IFAC Proceedings Volumes 38, Nr. 1 (2005): 443–48. http://dx.doi.org/10.3182/20050703-6-cz-1902.01648.

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Spinellis, D., C. Papadopoulos und J. MaCgregor Smith. „Large production line optimization using simulated annealing“. International Journal of Production Research 38, Nr. 3 (Februar 2000): 509–41. http://dx.doi.org/10.1080/002075400189284.

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Spinellis, Diomidis D., und Chrissoleon T. Papadopoulos. „Modular production line optimization: The exPLORE architecture“. Mathematical Problems in Engineering 6, Nr. 6 (2001): 527–41. http://dx.doi.org/10.1155/s1024123x00001460.

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Cui, Huirong, und Yinong Yan. „The optimization design of uniform’s hanging production line“. International Journal of Clothing Science and Technology 27, Nr. 3 (01.06.2015): 370–89. http://dx.doi.org/10.1108/ijcst-11-2013-0121.

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Purpose – Garment manufacturing is a traditional industry with global competition. The most critical part is streamline, as it generally involves a great number of operations. The purpose of this paper is to, based on the model of group technology (GT), sum up the methods of assembly line optimization to optimize the streamline, so that the machines of the workstation can perform the assigned tasks with a balanced loading. Design/methodology/approach – In this paper, the methods of obtaining and optimizing data includes literature, research and optimization methods of basing on GT model. The main direction of literature has two aspects: Lean production theory and streamline assignment. Research mainly concludes three aspects: research place, research object and the research content. The method of time determination is averaging the testing values of repeated measurements. Optimization methods of basing on GT model mainly include combination of the same type of technologic processes in sequence, combination of independent branch process, the combination of mainstream and branch processes and offside combination of the same type of processes. Findings – After optimization, in the utilization rate of equipment: hanging system ratio was increased from 22.95 to 62.12 percent, which greatly improved the utilization rate of enterprise equipment. In equipment layout: hanging equipment layout was turned linear type into “U” type, which realized the synchronization of production. GT model will be well applied in the garment production streamline. Compared with other enterprises, A company has large garment hanging system, which reflects the advanced, comprehensive, representative. Therefore, the paper applied optimization methods to trousers, production efficiency has been improved greatly, the utilization rate of equipment is promoted and reworking phenomenon is reduced greatly. Research limitations/implications – Through the optimization of the production process and equipment layout, the A company’s compiling efficiency has been greatly improved, but how can the system become computerized, accurately and intelligence, which has been an important direction of research now. Practical implications – By optimizing, it is fully proved that applying GT to the streamline optimization is feasible. GT is an important branch of Lean production, summing up the optimization methods basing on the GT model to optimize the streamline not only enriches the relevant theory research, but also provides a theoretical basis for the practical production. GT model not only can be used in the shirt production process, as for other production processes, for example, trousers, skirts can also be widely applied, which realizes the theory application in the practical production. Originality/value – The originality of this paper is that through the analysis of the model of GT, the paper sums up the methods of assembly line optimization to optimize the streamline. Although the model of GT is used widely in electronics, automobile and industry, it is relatively weak in the optimization of garment production line, there are not many literatures on practical application of group technology in the clothing. Besides, the paper is applied to practical production, which not only can improve production efficiency, but also make the theoretical research have basis and combine the theory and practical production.

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Richelle, Anne, und Philippe Bogaerts. „Off-line optimization of baker׳s yeast production process“. Chemical Engineering Science 119 (November 2014): 40–52. http://dx.doi.org/10.1016/j.ces.2014.07.059.

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Jarosz, Piotr, Jan Kusiak, Stanisław Małecki, Paweł Morkisz, Piotr Oprocha, Wojciech Pietrucha und Łukasz Sztangret. „An attempt of optimization of zinc production line“. Archives of Civil and Mechanical Engineering 18, Nr. 4 (September 2018): 1116–22. http://dx.doi.org/10.1016/j.acme.2018.02.011.

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Wang, Li Li, Yu Jie Liu und Tong Tong Xie. „A Simulation and Optimization Study of Assemble Production Line“. Advanced Materials Research 1006-1007 (August 2014): 427–31. http://dx.doi.org/10.4028/www.scientific.net/amr.1006-1007.427.

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As to the BSP model assembly line balancing problem, an integration to random distribution about the field data in statistical software of SPSS, is made in the paper with software of eM-Plant, a model and simulate to the production line is built to discover the bottleneck of the production line and the unbalance problem of line fast and accurately. The optimization design and simulation analysis and evaluation can be achieved to optimization goal and shorten the optimization time.

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Wang, Shuqiang, Jia Tang, Yiquan Zou und Qihui Zhou. „Research on production process optimization of precast concrete component factory based on value stream mapping“. Engineering, Construction and Architectural Management 27, Nr. 4 (04.11.2019): 850–71. http://dx.doi.org/10.1108/ecam-10-2018-0455.

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Purpose The purpose of this paper is to investigate the process optimization of a precast concrete component production line by using value stream mapping. Design/methodology/approach This paper is an empirical focused on of lean production theory and value stream mapping. The data in the case study were collected in real time on-site for each process during the production process of a prefabricated exterior wall. Findings The results of the current value stream map indicate that the main problems of the current production process are related to equipment, technology and organization. The equipment problems include simple demolding and cleaning tools and the lack of professional transfer channels. The technology problems include the lack of a marking mechanism and pipeline exit mechanism. There is a lack of standard operating procedures and incomplete process convergence. A comparison and analysis of the current value stream and the future value flow indicate that optimizations of the process flow, the production line layout, and the standard operating procedures have shortened the delivery cycle, reduced the number of workers, improved the operator’s operating level and balanced the production line. Practical implications The results of this study provide practitioners with a clear understanding of the optimization of the precast concrete component production and represent a method and basis for the process optimization of a factory production line; the approach is suitable for process optimization in other areas. Originality/value This research represents an innovative application of lean production theory and value stream mapping in a complex production line of precast concrete components and thereby fills the gap between the theory and practice of the optimization of a precast concrete component production line.

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Yi, Jian Gang. „Analysis and Optimization of Production Line Balance Based on ECRSI“. Advanced Materials Research 912-914 (April 2014): 1588–91. http://dx.doi.org/10.4028/www.scientific.net/amr.912-914.1588.

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The optimization of production line process from the aspect of enterprise production line balance is studied in this paper. By using the ECRSI method, the production process is analyzed, and the optimization scheme is put forward. Through the comparison of the process time before and after optimization, the effectiveness of the optimization solution is verified. The proposed approach solves the bottleneck problem of production line, improves the production capacity of enterprises, overcomes the defects of the original work process, provides the basis for the formulation of new production line work standards, and has widely application value.

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Longo, Claudio Santo, und Cesare Fantuzzi. „Simulation and optimization of industrial production lines“. at - Automatisierungstechnik 66, Nr. 4 (25.04.2018): 320–30. http://dx.doi.org/10.1515/auto-2017-0126.

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Abstract Simulation and optimization techniques are the pillars of for the Virtual Commissioning of modern digital factories. In particular, industrial production lines are complex systems formed by a set of machines that have several cross-dependencies (i. e., the production efficiency of a machine impact deeply performance figures of the others and affects the whole line productivity). The simulation and optimization of production lines is an integrated approach that allows finding efficiently optimized production parameters. This paper presents an example of application of the simulation to the virtual design and optimization of an industrial production line.

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Dissertationen zum Thema "Production line optimization"

Xia, Johnny. „A NEW STUDY OF UNBALANCED PRODUCTION LINE WITH OPTIMIZATION“. Thesis, Högskolan i Skövde, Institutionen för ingenjörsvetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15149.

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This project is a continuous research of a topic well-known in the literature, namely, the performance study of unbalanced unpaced production system. In the literature, there were many studies that investigated the statistical outputs of an unbalanced production line using simulation. This project focuses on researching the outputs like average buffer level and idle time that are rarely studied in previous research by using optimization tools from discrete event simulation software FACTS.The models used in the article (Shaaban & McNamara, 2009) have been used as a guideline during the development of the simulation models for this project. Two simulation models were created, each using different discrete event simulation software, namely FACTS analyzer and Plant simulation. Those simulation models fulfills its role in verification & validation stage, with their statistical outputs compared to each other and with Shaaban and McNamara’s results. After verification & validation comes optimization of those simulation models, by using optimization tools from FACTS.The research area expanded during the optimization phase. Originally Shaaban et.al analyzed unbalanced production line with one fixed value of coefficient of variation. In order to expand the view on the properties of an unbalanced production line, three more coefficient variation were added with total of four in this project. As a result, 12 optimization results were created at the end of this project. Each optimization has 30 000 iterations to ensure its convergence.The first step of analysis is done by locating all Pareto-optimal solutions with optimization tools in FACTS. The raw data of all solutions are later transferred and converted into EXCEL files. Using scatter graph and putting all outputs against each other in EXCEL, it creates visual graph that can be used to analyze and to investigate interesting behavior in an unbalanced production line.The analysis on the optimization results showed several interesting behaviors from production line with different settings. One being that if a production line possess worse coefficient of variation than its competition. By raising the inter-stage buffer level of the production line with inferior coefficient of variation, it can achieve the same level, if not greater outputs than its competitor who possess better coefficient of variation. The other interesting behavior are optimization results with highest outputs in regard of either idle time or average buffer level, with deep analyzation using optimization tools from FACTS. Certain operation time pattern and inter-stage buffer pattern could be observed from those results.

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Gisginis, Alexandros. „Production line optimization featuring cobots and visual inspection system“. Thesis, Blekinge Tekniska Högskola, Institutionen för maskinteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21752.

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This study examines the automatization potential for two production lines at Scania Transmission workshop in Södertälje using Industry 4.0 technologies. In order to do so, the capabilities of the operational performance and safety features of cobots and an Automated Visual Inspection System is theoretically investigated and intended to substitute CNC operators on certain tasks such as loading of conveyors and quality controls. The purpose of the study is to generate a realistic approach and give insight to the benefits of a future practical implementation.Previous research around these technologies as well as the actual data recordings and several interviews that took place during on-site visits is presented. The results show that a significant amount of time can be saved and allocated differently. Based on the findings of the study, a layout for the cobots and AVIS placement is proposed, aiming for CNC operator’s better control over the critical parts of the production lines, thus contributing to a much more manageable workflow.

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Hedlund, Björn. „XLPE-cable Production Optimization : Setup time Reduction at Armoring line“. Thesis, Blekinge Tekniska Högskola, Institutionen för maskinteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5240.

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At ABB’s high voltage cable factory in Karlskrona, there is a line production that is regarded as a bottleneck. The production rate at this workplace as well as the large variations of setups has created two major problems. The first problem is that it has become difficult for the planning department to determine the lead times for delivery to the customers. The other problem is that the long setup times has made this line production the bottleneck of the whole production. The factory at ABB HVC includes a number of line productions, where each line has their own purpose and value adding processes. The armoring line AR50 that this project has the focus to improve has the last value adding processes for the factory’s main product. The factory’s main product is the Cross-Linked Polyethylene cable, shortened XLPE. There are several different advantages with the XLPE-cable system. First of all they are maintenance-free and environmentally friendly. The main reason that the XLPE-cable is environmentally friendly is because it have low electrical losses. Since the submarine cables are underground the cables are invisible and not effected by weather conditions. This project implements the method SMED as well as various methods from the LEAN transcript in order to reduce the setup times and create a more stable and effficient production. An Ishikawa diagram were used in order to determine the root causes of the problems. Later both technical and management solutions were proposed and implemented. The project has concluded impressive results regarding setup time reduction and annual cost savings. It also enlightens the large potential for further improvement. This project will be continued during the year of 2014 in order to implement the proposed solutions. The future improvements are not just technical but also related to management and group dynamics.

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BURKHARDT, ELLEN. „Optimization and investment decisions of electrical motors’ production line using discrete event simulation“. Thesis, KTH, Skolan för industriell teknik och management (ITM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280294.

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More dynamic markets, shorter product life cycles and comprehensive variant management are challenges that dominate today's market. These maxims apply to the automotive sector, which is currently highly exposed to trade wars, changing mobility patterns and the emergence of new technologies and competitors. To meet these challenges, this thesis presents the creation of a digital twin of an existing production line of electric motors using discrete event simulation. Based on a detailed literature research, a step-by-step establishment of the simulation model of the production line using the software Plant Simulation is presented and argued. Finally, different experiments are carried out with the created model to show how a production line can be examined and optimized by means ofsimulation using different parameters. Within the scope of the different experiments regarding the number of workpiece carriers, number of operators as well as buffer sizes, the line was examined concerning the increase of the output. Furthermore, the simulation model was used to make decisions for future investments in additional XXX machines. Four different scenarios were examined and optimized. By examining the different parameters, optimization potentials of XXX% in the first scenario and up to XXX% in the fourth scenario were achieved. Finally, it was proven that the developed simulation model can be used as a tool for optimizing an existing production line and can generate useful investment information. Beyond that, the development of the simulation model can be employed to investigate further business questions at hand for the specific production line in question.
Mer dynamiska marknader, kortare produktlivscykler och omfattande varianthantering är utmaningar som dominerar dagens marknad. Dessa maximer gäller bilindustrin, som för närvarande är mycket utsatt för handelskrig, förändrade rörlighetsmönster och framväxten av ny teknik och nya konkurrenter. För att möta dessa utmaningar innebär denna avhandling skapandet av en digital tvilling av en befintlig produktionslinje av elmotorer med diskret händelsesimulering. Baserat på en detaljerad litteraturforskning presenteras och argumenteras en steg-för-steg-etablering av simuleringsmodellen för produktionslinjen med hjälp av programvaran Plant Simulation. Slutligen utförs olika experiment med den skapade modellen för att visa hur en produktionslinje kan undersökas och optimeras med hjälp av simulering med hjälp av olika parametrar. Inom ramen för de olika experimenten när det gäller antalet arbetsstyckesbärare, antalet operatörer samt buffertstorlekar undersöktes linjen om ökningen av produktionen. Dessutom användes simuleringsmodellen för att fatta beslut för framtida investeringar i ytterligare hårnålsmaskiner. Fyra olika scenarier undersöktes och optimerades. Genom att undersöka de olika parametrarna uppnåddes optimeringspotentialer på XXX % i det första scenariot och upp till XXX % i det fjärde scenariot. Slutligen bevisades det att den utvecklade simuleringsmodellen kan användas som ett verktyg för att optimera en befintlig produktionslinje och kan generera användbar investeringsinformation. Utöver detta kan utvecklingen av simuleringsmodellen användas för att undersöka ytterligare affärsfrågor till hands för den specifika produktionslinjen i fråga.

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Na, Byungsoo. „Optimization of automated float glass lines“. Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/39637.

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Motivated by operational issues in real-world glass manufacturing, this thesis addresses a problem of laying out and sequencing the orders so as to minimize wasted glass, called scrap. This optimization problem combines aspects of traditional cutting problems and traditional scheduling and sequencing problems. In so far as we know, the combination of cutting and scheduling has not been modeled, or solved. We propose a two-phase approach: snap construction and constructing cutting and offload schedules. Regarding the second phase problem, we introduce FGSP (float glass scheduling problem), and provide its solution structure, called coveys. We analyze simple sub-models of FGSP considering the main elements: time, unit, and width. For each model, we provide either a polynomial time algorithm or a proof of NP-completeness. Since FGSP is NP-complete, we propose a heuristic algorithm, Longest Unit First (LUF), and analyze the worst case performance of the algorithm in terms of the quality of solutions; the worst case performance bound is {1+(m-1)/m}+{1/3-1/(3m)} where m is the number of machines. It is 5/3 when m=2. For the real-world problem, we propose two different methods for snap construction, and we apply two main approaches to solve cutting and offloading schedules: an MIP approach and a heuristic approach. Our solution approach produces manufacturing yields greater than 99%; current practice is about 95%. This is a significant improvement and these high-yield solutions can save millions of dollars.

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Oesterle, Jonathan. „Holistic approach to designing hybrid assembly lines A comparative study of Multi-Objective Algorithms for the Assembly Line Balancing and Equipment Selection Problem under consideration of Product Design Alternatives Evaluation of the influence of dominance rules for the assembly line design problem under consideration of product design alternatives Hybrid Multi-objective Optimization Method for Solving Simultaneously the line Balancing, Equipment and Buffer Sizing Problems for Hybrid Assembly Systems Comparison of Multiobjective Algorithms for the Assembly Line Balancing Design Problem Efficient multi-objective optimization method for the mixed-model-line assembly line design problem Detaillierungsgrad von Simulationsmodellen Rechnergestützte Austaktung einer Mixed-Model Line. Der Weg zur optimalen Austaktung“. Thesis, Troyes, 2017. http://www.theses.fr/2017TROY0012.

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Le travail présenté dans cette thèse concerne la formulation et la résolution de deux problèmes d'optimisation multi-objectifs. Ces problèmes de décision, liés à une approche holistique, ont pour but de sélectionner la meilleure configuration « produit/ligne d’assemblage » à partir d'un ensemble de design produits, et de ressources. Concernant le premier problème, un modèle de coût a été développé afin de traduire les interdépendances complexes entre la sélection d’un design produit et les caractéristiques des ressources. Une étude empirique est proposée et vise à comparer, selon plusieurs indicateurs de qualité multi-objectifs, différentes méthodes de résolution - comprenant des algorithmes génétiques, de colonies de fourmis, d’optimisation par essaims particulaires, des chauves-souris, de recherche du coucou et de pollinisation des fleurs. Plusieurs règles de dominance et une recherche locale spécifique au problème ont été appliquées aux méthodes de résolution les plus prometteuses. Concernant le second problème, qui se penche également sur le dimensionnement des stocks tampons, les méthodes de résolution sont à un modèle de simulation à événements discrets, dont la fonction première est l’évaluation des valeurs des différentes fonctions objectives. L’approche holistique associée aux deux problèmes a été validée avec deux cas industriels
The work presented in this thesis concerns the formulation and the resolution of two holistic multi-objective optimization problems associated with the selection of the best product and hybrid assembly line configuration out of a set of products, processes and resources alternatives. Regarding the first problem, a cost model was developed in order to translate the complex interdependencies between the selection of specific product designs, processes and resources characteristics. An empirical study is proposed, which aimed at comparing, according to several multi-objective quality indicators, various resolution methods – including variants of evolutionary algorithms, ant colony optimization, particle swarm optimization, bat algorithms, cuckoo search algorithms, and flower-pollination algorithms. Several dominance rules and a problem-specific local search were applied to the most promising resolution methods. Regarding the second problem, which also considers the buffer sizing, the developed algorithms were enhanced with a genetic discrete-event simulation model, whose primary function is to evaluate the value of the various objective functions. The demonstration of the associated resolution frameworks for both problems was validated through two industrial-cases

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Wolak, Peter, und Mattias Johansson. „Buffer optimisation of a packaging line using Volvo GTO's flow simulation methodology“. Thesis, Högskolan i Skövde, Institutionen för ingenjörsvetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-16606.

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With the rapid development of computers and their proven usability in manufacturing environments, simulation-based optimisation has become a recognised tool for proposing near-optimal results related to manufacturing system design and improvement. As a world-leading manufacturer within their field, Volvo GTO in Skövde, Sweden is constantly seeking internal development and has in recent years discovered the possibilities provided by flow simulation. The main aim of this thesis is to provide an optimal buffer size of a new post-assembly and packaging line (Konpack) yet to be constructed. A by-product of the flow simulation optimisation project in form of a flow simulation process evaluation was also requested. The simulation project started with a pre-study including the development of the frame of reference and an analysis of the literature focused on merging Lean philosophy with simulation-based optimisation. The simulation model was built based on both historical and estimated data. The optimisation results showed different buffer size alternatives depending on the throughput to be achieved, these are discussed, and near-optimal solutions presented for decision-making. Additionally, four experiments were carried out, both contributing to the model’s credibility as well as providing new and valuable insight to the stakeholders. The conclusions drawn from the optimisation and experiments indicate that Konpack will be able to meet the established throughput goals, provided that the suggested near-optimal solutions are considered. The experiments also unanimously point to the fact that Konpack has a built-in overcapacity, utilizable by optimising certain suggested input parameters. Additionally, an evaluation of the completeness of the standard simulation process employed by Volvo GTO is provided, concluding that no major changes are needed. Nevertheless, there is always room for improvement. Hence, future work regarding the flow simulation process at Volvo GTO is proposed.

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Arjang, Eslumuand Quch Tape Hanif, und Liban Ahmed Ismail. „Strategic Supply Chain Optimization for Generic Pharmaceuticals : Improving the triple bottom line by postponing product completion“. Thesis, KTH, Industriell produktion, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-266248.

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Generic pharmaceutical supply chains are complex, interfacing humanitarian needs, industrial manufacturing, regulatory bodies and numerous other shareholders. This report gives a brief introduction to a current supply chain process within a company as well as a proposal to improve the supply chain financially, socially and environmentally. Data has been collected mainly through interviews and literature studies in order to conduct a case study. The project included an initial business case, calculations of necessary data in order to justify the work as well as to quantify the results. The main part of the proposal is to postpone the packing of medical products to a later stage as a way of improving the triple bottom line. Theoretically, this change results in lower ordering costs, lower volumes scrapped and thus lower scrapping costs and pollution, a decrease in order volumes further reducing costs and pollution and more. The study met the intended outcomes and would theoretically improve the company in line with the set targets. At the time of writing it is yet unclear whether it will lead to any action on behalf of the company.
Försörjningskedjorna inom farmaceutisk generika är komplexa med många externa beröringspunkter såsom mänskligt behov, industriell produktion, regulatoriska organisationer och andra intressenter. Den här rapporten erbjuder en kort introduktion till den befintliga försörjningsprocessen i ett företag i branschen samt ett förslag till hur företaget kan förbättra sin försörjningskedja ur ett ekonomiskt, socialt och miljömässigt perspektiv. Information har inhämtats främst genom intervjuer och litteraturstudier som har utgjort grund för en fallstudie. Projektet inkluderade framtagning av ett beslutsunderlag, datakalkyler för att ge stöd åt syftet med arbetet samt för att kvantifiera resultaten. Huvuddelen av förslaget utgörs av senareläggningen av packningsstadiet för medicinska produkter och effekten det får på det som på engelska kallas triple bottom line. Implementeringen av projektet ska teoretiskt leda till bland annat förbättrade vinstmarginaler, lägre andel kassationer och därmed en minskning av kostnader och utsläpp hänförliga till kassationer, lägre ordervolymer vilket i sin tur leder till sänkta kostnader och utsläpp. Studien har gett ett positivt utfall relativt målsättningen och implementeringen ska teoretiskt leda till en förbättring av verksamheten i linje med de uppsatta målen. I skrivande stund är det oklart huruvida företaget kommer att implementera förslaget.

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McClellan, Jack J. „The Benefit of Using Simulation to Improve The Implementation of Lean Manufacturing Case Study: Quick Changeovers to Allow Level Loading of The Assembly Line“. Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd558.pdf.

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Pelcl, Milan. „Návrh automatizované kontroly výrobků na výrobní lince“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-217953.

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This work deals with analysis one of the production lines at ModusLink Czech Republic s.r.o. It seeks to find possibilities for automation of different processes on the line, currently performed manually. The basic focus is to find the appropriate technical solutions to the automated control of the designated production line. The work seeks to describe all meaningful solutions and compare their advantages and disadvantages. From this comparison of the final proposal is based on comprehensive solutions with the use of machine vision. Another point is the selection of a suitable contractor for the implementation of the proposal, making its advantage in economic terms and the resulting recommendations, if implemented the proposal.

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Bücher zum Thema "Production line optimization"

Analysis and design of discrete part production lines. Dordrecht: Springer, 2009.

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Durakova, Irina, Aleksandra Mitrofanova, Tat'yana Rahmanova, Ekaterina Mayer, Marina Holyavka, Ol'ga Gerr, Asya Vavilova et al. Personnel management in Russia: from the ego to the ecosystem. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1567065.

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The monograph contains the results of research concerning, firstly, the ecosystem as a response to the challenges of the XXI century. Secondly, the problems of labor longevity and success in organizations that form an ecosystem approach to working with personnel, including through the use in practice of biomedical factors, socio-economic conditions, nagging as a "soft power" to push older workers to productive work. Thirdly, the realities and problems of combining work and private life, studied from several positions. Among them: the formation of corporate policy, corporate interest, professional orientation; the actual balance of "work — private life", as well as the optimization of labor behavior through the formation of a sense of self-esteem in the workplace, the management of employees ' experience. Fourth, systematization of the results of the health management study, taking into account the experience gained during the coronavirus pandemic — occupational safety management, health promotion in the organization, including the situation of self-isolation. Fifth, the concept of compliance in the personnel management system. For students, undergraduates, postgraduates, doctoral students, researchers studying or conducting research in the field of personnel management, as well as the teaching staff of universities and employers.

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ZnO bao mo zhi bei ji qi guang, dian xing neng yan jiu. Shanghai Shi: Shanghai da xue chu ban she, 2010.

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Design and Optimization of Production Lines. MDPI, 2021. http://dx.doi.org/10.3390/books978-3-03943-962-1.

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Salinas-Rodríguez, Sergio G., Juan Arévalo, Juan Manuel Ortiz, Eduard Borràs-Camps, Victor Monsalvo-Garcia, Maria D. Kennedy und Abraham Esteve-Núñez, Hrsg. Microbial Desalination Cells for Low Energy Drinking Water. IWA Publishing, 2021. http://dx.doi.org/10.2166/9781789062120.

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The world's largest demonstrator of a revolutionary energy system in desalination for drinking water production is in operation. MIDES uses Microbial Desalination Cells (MDC) in a pre-treatment step for reverse osmosis (RO), for simultaneous saline stream desalination and wastewater treatment. MDCs are based on bio-electro-chemical technology, in which biological wastewater treatment can be coupled to the desalination of a saline stream using ion exchange membranes without external energy input. MDCs simultaneously treat wastewater and perform desalination using the energy contained in the wastewater. In fact, an MDC can produce around 1.8 kWh of bioelectricity from the energy contained in 1 m3 of wastewater. Compared to traditional RO, more than 3 kWh/m3 of electrical energy is saved. With this novel technology, two low-quality water streams (saline stream, wastewater) are transformed into two high-quality streams (desalinated water, treated wastewater) suitable for further uses. An exhaustive scaling-up process was carried out in which all MIDES partners worked together on nanostructured electrodes, antifouling membranes, electrochemical reactor design and optimization, life cycle assessment, microbial electrochemistry and physiology expertise, and process engineering and control. The roadmap of the lab-MDC upscaling goes through the assembly of a pre-pilot MDC, towards the development of the demonstrator of the MDC technology (patented). Nominal desalination rate between 4-11 Lm-2h-1 is reached with a current efficiency of 40 %. After the scalability success, two MDC pilot plants were designed and constructed consisting of one stack of 15 MDC pilot units with a 0.4 m2 electrode area per unit. This book presents the information generated throughout the EU funded MIDES project and includes the latest developments related to desalination of sea water and brackish water by applying microbial desalination cells. ISBN: 9781789062113 (Paperback) ISBN: 9781789062120 (eBook)

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Buchteile zum Thema "Production line optimization"

Hajba, T., Z. Horváth, C. Kiss-Tóth und J. Jósvai. „Production Line Optimization with Model Based Methods“. In Math for the Digital Factory, 163–82. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63957-4_8.

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Harman, Durmus, D. Buschmann, R. Scheer, M. Hellwig, M. Knapp, R. H. Schmitt und H. Eigenbrod. „Data Analytics Production Line Optimization Model (DAPLOM) - A Systematic Framework for Process Optimizations“. In Lecture Notes in Production Engineering, 412–20. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78424-9_46.

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Singh, Rakshit Kumar, Amit Raj Singh und Ravindra Kumar Yadav. „Disassembly Line Balancing Using Recursive Optimization in Presence of Task-Failure“. In Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, 430–40. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85906-0_48.

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Guo, Jidong, Kangzhong Chen, Rui Zheng, Wanting Zhang, Weihuai Li, Yuwei Mo und Dawei Zhou. „Research on Optimization of Production Line of Type a Product“. In Proceedings of IncoME-V & CEPE Net-2020, 923–31. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75793-9_85.

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Vasant, P. „Hybrid Mesh Adaptive Direct Search Genetic Algorithms and Line Search Approaches for Fuzzy Optimization Problems in Production Planning“. In Handbook of Optimization, 779–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-30504-7_30.

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Wang, Yun-rui, Juan Li und Xian-gang Cao. „Optimization of Plug-in Production Line Based on Process Priority Principle“. In Proceedings of the 22nd International Conference on Industrial Engineering and Engineering Management 2015, 569–78. Paris: Atlantis Press, 2016. http://dx.doi.org/10.2991/978-94-6239-180-2_55.

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Guo, Zhaoxia. „A Bilevel Intelligent Optimization Model for Assembly Line Scheduling with Flexible Operation Assignment“. In Intelligent Decision-making Models for Production and Retail Operations, 63–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-52681-1_4.

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Feng, Yuan, Wenhui Fan und Yuanhui Qin. „A Discrete Event Simulation Based Production Line Optimization through Markov Decision Process“. In Communications in Computer and Information Science, 385–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-45037-2_39.

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Ahammed, Thanveer, Jaber Abu Qudeiri, Abdel-Hamid Mourad, Aiman Ziout und Faris Safieh. „Intelligent Sequence Optimization Method for Hole Making Operations in 2M Production Line“. In Proceedings of ICETIT 2019, 339–55. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30577-2_29.

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Korkulu, Sezen, und Krisztian Bóna. „Multiobjective Optimization of Production Line Supply Based on Maximum Endurance Time and Rest Allowance“. In LISS 2020, 863–74. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4359-7_60.

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Konferenzberichte zum Thema "Production line optimization"

Liu, Yefeng, Yuan Zhao, Kangju Li und Shengping Yu. „Optimization and Application of Flexible Production Line Production Scheduling“. In 2020 39th Chinese Control Conference (CCC). IEEE, 2020. http://dx.doi.org/10.23919/ccc50068.2020.9188497.

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Xu Zhiwei und Liu Yongxian. „Mechanical production line simulation and optimization analysis“. In 2008 IEEE International Conference on Automation and Logistics (ICAL). IEEE, 2008. http://dx.doi.org/10.1109/ical.2008.4636677.

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Dengiz, Berna, und Onder Belgin. „Aintshop production line optimization using response surface methodology“. In 2007 Winter Simulation Conference. IEEE, 2007. http://dx.doi.org/10.1109/wsc.2007.4419788.

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Yu Liu und Jinpeng Xu. „Optimization on production line layout of automobile body shop“. In 2017 14th International Conference on Service Systems and Service Management (ICSSSM). IEEE, 2017. http://dx.doi.org/10.1109/icsssm.2017.7996213.

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Bonivento, Claudio, Andrea Paoli und Matteo Sartini. „Parameters Optimization in a Production Line Using Genetic Algorithms“. In 2008 International Conference on Computational Intelligence for Modelling Control & Automation. IEEE, 2008. http://dx.doi.org/10.1109/cimca.2008.51.

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Wu, Geng, Lin Yao und Shaozheng Yu. „Simulation and optimization of production line based on FlexSim“. In 2018 Chinese Control And Decision Conference (CCDC). IEEE, 2018. http://dx.doi.org/10.1109/ccdc.2018.8407704.

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Li, Hang, Ran Liu und Lun Shi. „The Layout Optimization Problem of Automobile Engine Production Line“. In 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2018. http://dx.doi.org/10.1109/ieem.2018.8607387.

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Cao, Xiren. „Optimization of Throughput in a Production Line With Blocking“. In Cambridge Symposium_Intelligent Robotics Systems, herausgegeben von David P. Casasent. SPIE, 1987. http://dx.doi.org/10.1117/12.937758.

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Zhiyao, Zhuang, Li Fang und Zhang Ping. „Research on Multi-Agent based Optimization in Smart Production Line“. In 2020 IEEE 6th International Conference on Computer and Communications (ICCC). IEEE, 2020. http://dx.doi.org/10.1109/iccc51575.2020.9344907.

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Dong, Xiaohui, und Ruhong Ma. „Optimization of the LPCVD equipment intergraded production system of the solar cell production line“. In 2ND INTERNATIONAL CONFERENCE ON GREEN ENERGY AND SUSTAINABLE DEVELOPMENT (GESD 2019). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5116492.

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Berichte der Organisationen zum Thema "Production line optimization"

Wheeler, Hilary, und Crystal Densmore. Bench-Scale Synthetic Optimization of 1,2-bis(2-aminophenylthio)ethane (APO-Link) Used in the Production of APO-BMI Resin. Office of Scientific and Technical Information (OSTI), Juli 2007. http://dx.doi.org/10.2172/926448.

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