Relevant bibliographies by topics / Production system models

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Production system models'

Author: Grafiati
Published: 4 June 2021
Last updated: 19 February 2022

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Journal articles on the topic "Production system models"

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Guseinova, T. N. "INNOVATION PRODUCTION MODELS." MGIMO Review of International Relations, no. 3(48) (June 28, 2016): 54–65. http://dx.doi.org/10.24833/2071-8160-2016-3-48-54-65.

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The article is dedicated to the study of the models of production of innovations at enterprise and state levels. The shift towards a new technology wave induces a change in systems of division of labour as well as establishment of new forms of cooperation that are reflected both in theory and practice of innovation policy and management. Within the scope of the research question we have studied different generation of innovation process, starting with simple linear models - "technology push" and "market pull" - and ending with a complex integrated model of open innovations. There are two organizational models of innovation production at the enterprise level: start-ups in the early stages of their development and ambidextrous organizations. The former are prone to linear models of innovation process, while the latter create innovation within more sophisticated inclusive processes. Companies that effectuate reciprocal ambidexterity stand out from all the rest, since together with start-ups, research and development centres, elements of innovation infrastructure and other economic agents operating in the same value chain they constitute the core of most advanced forms of national innovation systems, namely Triple Helix and Quadruple Helix systems. National innovation systems - models of innovation production at the state level - evolve into systems with a more profound division of labour that enable "line production" of innovations. These tendencies are closely related to the advent and development of the concept of serial entrepreneurship that transforms entrepreneurship into a new type of profession. International experience proves this concept to be efficient in various parts of the world. Nevertheless, the use of above mentioned models and concepts in national innovation system should be justified by socioeconomic conditions of economic regions, since they determine the efficiency of implementation of certain innovation processes and organizational designs at company and national system level.
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Matveykin, V. G., B. S. Dmitrievsky, N. S. Popov, and O. V. Dmitriyeva. "Integrated Models of Innovative Production System." Vestnik Tambovskogo gosudarstvennogo tehnicheskogo universiteta 22, no. 4 (2016): 550–58. http://dx.doi.org/10.17277/vestnik.2016.04.pp.550-558.

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Anyadike, CC, CC Mbajiorgu, and GN Ajah. "REVIEW OF AQUACULTURAL PRODUCTION SYSTEM MODELS." Nigerian Journal of Technology 35, no. 2 (April 2, 2016): 448. http://dx.doi.org/10.4314/njt.v35i2.29.

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Brunoe, Thomas Ditlev, Daniel Grud Hellerup Sørensen, Ann-Louise Andersen, and Kjeld Nielsen. "Framework for Integrating Production System Models and Product Family Models." Procedia CIRP 72 (2018): 592–97. http://dx.doi.org/10.1016/j.procir.2018.03.020.

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SCHMITT, THOMAS G., THEODORE KLASTORIN, and AVRAHAM SHTUB. "Production classification system: concepts, models and strategies." International Journal of Production Research 23, no. 3 (January 1985): 563–78. http://dx.doi.org/10.1080/00207548508904729.

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Ružarovský, Roman. "Direct Production from CAD Models Considering on Integration with CIM Flexible Production System." Applied Mechanics and Materials 474 (January 2014): 103–8. http://dx.doi.org/10.4028/www.scientific.net/amm.474.103.

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Production engineering is currently characterized with continuously changing and expanding, producers have to be flexible in this regard. It means that need to offer production possibilities, which can respond to the quick change. Engineering product development is focused on supporting CAD software; such systems are mainly used for product design. The integration of flexible manufacturing systems and subunits together with product design and of engineering is a possible solution for this issue. Product designers use different types of CAD systems that are incompatible with each other. To enter a new product, it is necessary to transform CAD data and re-enter into the production system used by the manufacturer. The solution is to generate NC data directly from a CAD model and transform the data uploading to control system of flexible manufacturing system. The integration of flexible manufacturing systems and subunits together with product design in CAD and of engineering is a possible solution for this issue. Integration is possible through the implementation of CIM systems. Such an explanation and finding a connection between CAD and production system ICIM 3000 from Festo Co. is engaged in the research project and this contribution.
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Shmyrin, A. M., N. M. Mishachev, and V. V. Semina. "Hierarchical Neighborhood Models for Ventilation System." International Journal of Engineering & Technology 7, no. 3.5 (July 7, 2018): 24. http://dx.doi.org/10.14419/ijet.v7i3.5.15194.

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Considering cement production, we deal with dust, associated with a non-optimal operation of the dust-free ventilation system in the clinker burning department. The optimally organized heating, ventilating, and air conditioning system in any type of production ensures the microclimate of the production premises, corresponding to the sanitary norms and rules, which contribute to the increase of the staff’s efficiency. In this paper, the questions of the neighborhood modeling of the heating, ventilating, and air conditioning system in the premises of the cement production shop are considered. A system for minimizing energy costs and reducing dust emission in the clinker burning shop is proposed, which allows increasing the environmental safety of production.
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Sarker, Bhaba R. "Optimum manpower models for a production system with varying production rates." European Journal of Operational Research 24, no. 3 (March 1986): 447–54. http://dx.doi.org/10.1016/0377-2217(86)90038-x.

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Halim, K. A., B. C. Giri, and K. S. Chaudhuri. "Fuzzy EPQ models for an imperfect production system." International Journal of Systems Science 40, no. 1 (January 2009): 45–52. http://dx.doi.org/10.1080/00207720802090427.

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Mazumdar, M., and A. Kapoor. "Stochastic models for power generation system production costs." Electric Power Systems Research 35, no. 2 (November 1995): 93–100. http://dx.doi.org/10.1016/0378-7796(95)00993-0.

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Dissertations / Theses on the topic "Production system models"

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Ramos, Calderón Antonio José. "Computational and accuracy benchmarking of simulation and system-theoretic models for production systems engineering." Thesis, Högskolan i Skövde, Institutionen för ingenjörsvetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-19877.

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The modern industry has an increasing demand for simulation software able to help workers and decision-makers visualize the outputs of a specific process in a fast, accurate way. In this report, a comparative study between FACTS (Factory Analyses in ConcepTual phase using Simulation), Plant Simulation, and PSE (Production System Engineering) Toolbox is done regarding their capacity to simulate models with increasing complexity, how accurate they are in their outputs with different optimized buffer allocations, and how well they perform on the task of detecting the bottlenecks of a process. Benchmarking simulation software requires an experimental approach, and for gathering and organizing all the data generated using external programs like MATLAB, C, Excel, and R are used. A high level of automatization is required as otherwise the manual input of data would take too long to be effective.The results conclude on major concordances among FACTS and Plant Simulation as the most used commercial DES (Discrete Event Simulation) software and a more mathematical-theoretical approach coming from PSE Toolbox. The optimization done in the report links to sustainability, with an enhanced TH improving the ecological, social and economic aspects, and to Lean philosophy using lean buffers that smooth and improve the production flow.
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Nason, Rodney Allan, and mikewood@deakin edu au. "Production system model of children's development of number concepts." Deakin University. School of Education, 1988. http://tux.lib.deakin.edu.au./adt-VDU/public/adt-VDU20051110.152425.

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The purpose of the present research study was to produce a global, cumulative model of number concept development for children between the ages of two and eight years old. The theoretical and methodological orientation of this study was greatly influenced by Richard Young's production system analysis of seriation by young children (Young, 1971, 1976) and by Newell's (1973) seminal paper, ‘You can't play twenty questions with nature and win’. The methodology used in this investigation thus was as follows. A series of complex number tasks encompassing many aspects of the concept of number were developed. Five children aged between three and seven years then were videotaped while performing some of these complex number tasks. From a detailed protocol analysis of the video-recordings, computer simulation models written in the production system language PSS3 (Ohlsson, 1979) were produced. Specific production system models were produced for each of following aspects of the children's number knowledge: (i) sharing of discrete quantities; (ii) comparison of shares; and (iii) conservation/addition/subtraction of number. These domain-specific models were based on the converging experimental evidence obtained from each of the children’s responses to variants of the complex number tasks. Each child thus received a different set of problems which were chosen systematically in order to clarify particular features of the child's abilities. After a production system model for each child had been produced within a domain, these models were compared and contrasted. From this analysis, developmental trends within the domain were identified and discussed. The research and educational implications of these developmental trends then were discussed. In the concluding parts of this study, the children's domain-specific production system models were cumulated into global, comprehensive models which accurately represented their behaviour in a variety of number tasks. These comprehensive models were compared and contrasted and general developmental trends in young children's number knowledge were identified and discussed.
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Leu, Yow-yuh. "Cellular manufacturing: applicability and system design." Diss., Virginia Tech, 1991. http://hdl.handle.net/10919/39922.

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As competition has intensified, many American manufacturers have sought alternatives to rejuvenate their production systems. Cellular manufacturing systems have received considerable interest from both academics and practitioners. This research examines three major issues in cellular manufacturing that have not been adequately addressed: applicability, structural design, and operational design. Applicability, in this study, is concerned with discerning the circumstances in which cellular manufacturing is the system of choice. The methodology employed is simulation and two experimental studies are conducted. The objective of Experiment I, a 2 x 3 x 3 factorial design, is to investigate the role of setup time and move time on system performance and to gain insight into why and how one layout could outperform another. The results of Experiment I suggest that move time is a significant factor for job shops and that workload variation needs to be reduced if the performance of cellular manufacturing is to be improved. Experiment II evaluates the impact of setup time reduction and operational standardization on the performance of cellular manufacturing. The results of Experiment II suggest that cellular manufacturing is preferred if the following conditions exist: (1) well balanced workload, (2) standardized products, (3) standardized operations, and (4) setup times independent from processing times.
Ph. D.
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Zhang, Sicheng, and 张思成. "An enhanced ant colony optimization approach for integrating process planning and scheduling based on multi-agent system." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B49618064.

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Process planning and scheduling are two important manufacturing planning functions which are traditionally performed separately and sequentially. Usually, the process plan has to be prepared first before scheduling can be performed. However, due to the complexity of manufacturing systems and the uncertainties and dynamical changes encountered in practical production, process plans and schedules may easily become inefficient or even infeasible. The concept of integrated process planning and scheduling (IPPS) has been proposed to improve the efficiency, effectiveness as well as flexibility of the respective process plan and schedule. By combining both functions together, the process plan for producing a part could be dynamically arranged in accordance with the availability of manufacturing resources and current status of the system, and its operations’ schedule could be determined concurrently. Therefore, IPPS could provide an essential solution to the dynamic process planning and scheduling problem in the practical manufacturing environment. Nevertheless, process planning and scheduling are both complex functions that depend on many factors and flexibilities in the manufacturing system, IPPS is therefore a highly complex NP-hard problem. Ant colony optimization (ACO) is a widely applied meta-heuristics, which has been proved capable of generating feasible solutions for IPPS problem in previous research. However, due to the nature of the ACO algorithm, the performance is not that favourable compared with other heuristics. This thesis presents an enhanced ACO approach for IPPS. The weaknesses and limitations of standard ACO algorithm are identified and corresponding modifications are proposed to deal with the drawbacks and improve the performance of the algorithm. The mechanism is implemented on a specifically designed multi-agent system (MAS) framework in which ants are assigned as software agents to generate solutions. First of all, the manufacturing processes of the parts are graphically formulated as a disjunctive AND/OR graph. In applying the ACO algorithm, ants are deployed to find a path on the disjunctive graph. Such an ant route indicates a corresponding solution with associated operations scheduled by the sequence of ant visit. The ACO in this thesis is enhanced with the novel node selection heuristic and pheromone update strategy. With the node selection heuristic, pheromone is deposited on the nodes as well as edges on the ant path. This is contrast to the conventional ACO algorithm that pheromone is only deposited on edges. In addition, a more reasonable strategy based on “earliest completion time” of operations are used to determine the heuristic desirability of ants, instead of the “greedy” strategy used in standard ACO, which is based on the “shortest processing time”. The approach is evaluated by a comprehensive set of problems with a full set of flexibilities, while multiple performance measurements are considered, including makespan, mean flow time, average machine utilization and CPU time, among which makespan is the major criterion. The results are compared with other approaches and encouraging improvements on solution quality could be observed.
published_or_final_version
Industrial and Manufacturing Systems Engineering
Master
Master of Philosophy
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Mardix, Ido. "Throughout efficiency analysis of the mobot-carousel storage system." Thesis, Georgia Institute of Technology, 1985. http://hdl.handle.net/1853/24233.

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Venkateswaran, Jayendran. "PRODUCTION AND DISTRIBUTION PLANNING FOR DYNAMIC SUPPLY CHAINS USING MULTI-RESOLUTION HYBRID MODELS." Diss., Tucson, Arizona : University of Arizona, 2005. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu%5Fetd%5F1185%5F1%5Fm.pdf&type=application/pdf.

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Abbas, Ahmed M. Gadeh El Dum Nagat. "Immunomodulation of cytokine and chemokine production in animal models of neuroinflammatory and neurodegenerative disorders /." Stockholm, 2003. http://diss.kib.ki.se/2003/91-7349-422-4.

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Ogbonna, Emmanuel. "A multi-parameter empirical model for mesophilic anaerobic digestion." Thesis, University of Hertfordshire, 2017. http://hdl.handle.net/2299/17467.

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Anaerobic digestion, which is the process by which bacteria breakdown organic matter to produce biogas (renewable energy source) and digestate (biofertiliser) in the absence of oxygen, proves to be the ideal concept not only for sustainable energy provision but also for effective organic waste management. However, the production amount of biogas to keep up with the global demand is limited by the underperformance in the system implementing the AD process. This underperformance is due to the difficulty in obtaining and maintaining the optimal operating parameters/states for anaerobic bacteria to thrive with regards to attaining a specific critical population number, which results in maximising the biogas production. This problem continues to exist as a result of insufficient knowledge of the interactions between the operating parameters and bacterial community. In addition, the lack of sufficient knowledge of the composition of bacterial groups that varies with changes in the operating parameters such as temperature, substrate and retention time. Without sufficient knowledge of the overall impact of the physico-environmental operating parameters on anaerobic bacterial growth and composition, significant improvement of biogas production may be difficult to attain. In order to mitigate this problem, this study has presented a nonlinear multi-parameter system modelling of mesophilic AD. It utilised raw data sets generated from laboratory experimentation of the influence of four operating parameters, temperature, pH, mixing speed and pressure on biogas and methane production, signifying that this is a multiple input single output (MISO) system. Due to the nonlinear characteristics of the data, the nonlinear black-box modelling technique is applied. The modelling is performed in MATLAB through System Identification approach. Two nonlinear model structures, autoregressive with exogenous input (NARX) and Hammerstein-Wiener (NLHW) with different nonlinearity estimators and model orders are chosen by trial and error and utilised to estimate the models. The performance of the models is determined by comparing the simulated outputs of the estimated models and the output in the validation data. The approach is used to validate the estimated models by checking how well the simulated output of the models fits the measured output. The best models for biogas and methane production are chosen by comparing the outputs of the best NARX and NLHW models (each for biogas and methane production), and the validation data, as well as utilising the Akaike information criterion to measure the quality of each model relative to each of the other models. The NLHW models mhw2 and mhws2 are chosen for biogas and methane production, respectively. The identified NLHW models mhw2 and mhws2 represent the behaviour of the production of biogas and methane, respectively, from mesophilic AD. Among all the candidate models studied, the nonlinear models provide a superior reproduction of the experimental data over the whole analysed period. Furthermore, the models constructed in this study cannot be used for scale-up purpose because they are not able to satisfy the rules and criteria for applying dimensional analysis to scale-up.
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Storck, Joakim. "Strategic and operational capabilities in steel production : Product variety and performance." Doctoral thesis, KTH, Industriell produktion, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-11642.

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Steel producers that employ niche market strategies are continuously seeking to reduce production cost while maintaining adiverse product mix. The business model is typically based onmarketing of high–strength special or stainless steels. However,the desire to avoid direct cost competition is over time gradually leading towards increased product variety and smaller ordervolumes (tonnes per order) for each product. This thesis analyses how production cost is linked to productvariety in steel strip production. Results are based on new modelsfor assessment of opportunities for performance improvement inhigh product–variety steel production. The need for flexible production processes increases with increasing product variety. Operational capabilities linked to processflexibility determine the extent to which steel producers caneliminate in–process inventory and accomplish close coupling between process steps. Niche market producers that invest inprocess flexibility improvements can lower production costs bothdue to reduced work–in–process and lower energy consumption.An additional benefit is reduced environmental impact. The following problems are addressed: • Development of a method to assess the influence of productvariety on performance in steel production. • Development of models of continuous casting and hotrolling that account for product variety and cost effectswith consideration of varying degrees of process flexibility. • Development of a strategy process model that focus on thestrategic value of operational capabilities related to processflexibility. Investments in operational capabilities regarding process flexibility have a strategic impact. An appreciation for the effectsof process flexibility should permeate the organisation’s daily work since the accumulated contribution of many, seemingly unimportant, incremental changes significantly influences thestrategic opportunities of the company.
Stålproducenter med nischmarknadsstrategier försöker ständigt sänka sina produktionskostnader samtidigt som en varierad produktflora bibehålls. Affärsmodellen bygger i typfallet på försäljning av höghållfasta specialstål eller rostfria stål. Strävan att undvika direkt priskonkurrens leder dock med tiden gradvis till ökad produktvariation och mindre ordervolymer (ton per order)för varje produkt. Denna avhandling analyserar hur produktionskostnaden är kopplad till graden av produktvariation vid tillverkning av band.Resultaten bygger på nya modeller för utvärdering av förutsättningarnaför prestandaförbättring i stålindustri med stor produktvariation. Behovet av flexibla produktionsprocesser ökar med ökande produktvariation. Praktiska förmågor kopplade till processflexibilitet avgör till vilken grad ståltillverkare förmår att eliminera mellanlager och åstadkomma en tät koppling mellan processteg.Nischmarknadsproducenter som investerar i förbättrad flexibilitet kan sänka sina produktionskostnader både genom minskad mängd produkter i arbete och reducerad energiförbrukning. Detta medför också minskad miljöbelastning.Följande problemställningar adresseras: • Utveckling av en metod för att utvärdera inverkan av produktvariationpå prestanda vid ståltillverkning. • Utveckling av en modell för stränggjutning och varmvalsningsom tar hänsyn till produktvariation och kostnadseffekterför olika grad av processflexibilitet. • Utveckling av en strategimodell som fokuserar på det strategiskavärdet av operativa förmågor kopplade till processflexibilitet. Investeringar i operativa förmågor vad avser processflexibilitet är av strategisk betydelse. Förståelse för betydelsen av processflexibilitetbör genomsyra det dagliga arbetet eftersom det samladebidraget av många, till synes obetydliga, små förändringar haren avgörande inverkan på företagets strategiska förutsättningar
QC 20100810
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王曉曦 and Xiaoxi Wang. "Design of virtual cellular manufacturing systems using genetic algorithms." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B42577305.

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Books on the topic "Production system models"

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Engineering models for agricultural production. Westport, CT: AVI Pub. Co., 1986.

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Prices and production: Elements of a system-theoretic perspective. Heidelberg: Physica-Verlag, 1989.

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Wall, Charles A. Modelling a multiple output production system: Supply response in the Australian sheep industry. [Sydney]: University of Sydney, Dept. of Agricultural Economics, 1987.

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Cole, Gary V. The Micro Oriented Agricultural Production System (MOAPS): A documentation. Knoxville, Tenn: Dept. of Agricultural Economics and Rural Sociology Univ. of Tennessee, 1990.

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Ė, Puusepp M., and Tavast R. R, eds. Analiz i modelirovanie proizvodstvennykh sistem. Moskva: "Finansy i statistika", 1987.

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Vasil'eva, Natal'ya. Mathematical models in the management of copper production: ideas, methods, examples. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1014071.

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Presents the current status in modelling of metallurgical processes considered by the model the mathematical model used in the description of the processes of copper production and their classification. Set out a system of methods and models in the field of mathematical modeling of technological processes, including balance sheet, statistics, optimization models, forecasting models and predictive models. For specific technological processes are developed: the model of the balance of the cycle of pyrometallurgical production of copper, polynomial model for prediction of matte composition on the basis of the passive experiment, predictive model of quantitative estimation of the copper content in the matte based on fuzzy logic. Of interest to students, postgraduates, teachers of technical universities, engineers and research workers who use mathematical methods for processing of data of laboratory and industrial experiments.
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Zhou, MengChu. System modeling and control with resource-oriented Petri nets. Boca Raton, FL: CRC Press, 2010.

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Zhou, MengChu. System modeling and control with resource-oriented Petri nets. Boca Raton, FL: CRC Press, 2010.

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Naiqi, Wu, ed. System modeling and control with resource-oriented Petri nets. Boca Raton, FL: CRC Press, 2010.

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Chow, Joe H. Power System Coherency and Model Reduction. New York, NY: Springer New York, 2013.

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Book chapters on the topic "Production system models"

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Jylhä, Tuuli. "The Toyota Production System." In A Handbook of Management Theories and Models for Office Environments and Services, 152–62. London: Routledge, 2021. http://dx.doi.org/10.1201/9781003128786-13.

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Ammons, Jane C., David Newton, and Matthew J. Realff. "Decision Models for Reverse Production System Design." In Handbook of Environmentally Conscious Manufacturing, 341–62. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1727-6_15.

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Hintz, G. W. "A Knowledge-Based System for Production Control of Flexible Manufacturing Systems." In Mathematical Models for Decision Support, 441–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83555-1_26.

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Krishnamurthy, Ananth, and Divya Seethapathy. "Production Inventory Models for a Multi-product Batch Production System." In Rapid Modelling and Quick Response, 47–59. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84996-525-5_4.

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Yue, Dequan, Sai Wang, and Yuying Zhang. "A Production-Inventory System with a Service Facility and Production Interruptions for Perishable Items." In Stochastic Models in Reliability, Network Security and System Safety, 410–28. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0864-6_21.

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Burduk, Anna. "Stability Analysis of the Production System Using Simulation Models." In Process Simulation and Optimization in Sustainable Logistics and Manufacturing, 69–83. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07347-7_5.

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Hackenberg, Georg, Alarico Campetelli, Christoph Legat, Jakob Mund, Sabine Teufl, and Birgit Vogel-Heuser. "Formal Technical Process Specification and Verification for Automated Production Systems." In System Analysis and Modeling: Models and Reusability, 287–303. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11743-0_20.

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Boukas, E. K., and Z. K. Liu. "Manufacturing System Modeling and Control: Production Quality & Marketing." In Integrated Models in Production Planning, Inventory, Quality, and Maintenance, 185–229. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1635-4_10.

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Li, Na, Wei Wang, and Rui-Na Fan. "Deposit Design for a Production System with Impatient Customers." In Stochastic Models in Reliability, Network Security and System Safety, 429–45. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0864-6_22.

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Li, Jingshan, Semyon M. Meerkov, and Liang Zhang. "Production Systems Engineering: Review and Recent Developments." In Handbook of Stochastic Models and Analysis of Manufacturing System Operations, 167–210. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6777-9_6.

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Conference papers on the topic "Production system models"

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Ma Suchang, Liu Xuebin, and Liu Yushan. "Application of substance-field models in production management system." In 2010 International Conference on Mechanic Automation and Control Engineering (MACE). IEEE, 2010. http://dx.doi.org/10.1109/mace.2010.5536573.

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Mund, Jakob, Maximilian Junker, Safa Bougouffa, Suhyun Cha, and Birgit Vogel-Heuser. "Model-based availability analysis for automated production systems." In MEMOCODE '17: 15th ACM-IEEE International Conference on Formal Methods and Models for System Design. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127041.3127051.

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"Crowds and Communities: Light and Heavyweight Models of Peer Production." In 2009 42nd Hawaii International Conference on System Sciences. IEEE, 2009. http://dx.doi.org/10.1109/hicss.2009.137.

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Peters, K. "Myths/Realities of Input and Calibration in Basin and Petroleum System Models." In Second EAGE Workshop on Geochemistry in Petroleum Operations and Production. Netherlands: EAGE Publications BV, 2018. http://dx.doi.org/10.3997/2214-4609.201803107.

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Orcun, Seza, Reha Uzsoy, and Karl Kempf. "Using System Dynamics Simulations to Compare Capacity Models for Production Planning." In 2006 Winter Simulation Conference. IEEE, 2006. http://dx.doi.org/10.1109/wsc.2006.322966.

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Sun, Yuting, Tianyu Zhu, and Liang Zhang. "Smart Production System Modeling: Bernoulli Serial Line Case." In 2020 International Symposium on Flexible Automation. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/isfa2020-9641.

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Abstract The manufacturing industry has entered the era of Industry 4.0/Smart Manufacturing. New technologies have dramatically changed the way manufacturing activities are carried out on the factory floor. In addition to an enhanced level of equipment automation, automation of decision-making has been one of the key objectives of these new initiatives. On the other hand, a critical issue that has been overlooked is the construction of mathematical models in manufacturing research and studies, which are typically done manually. This manual, ad-hoc nature of mathematical modeling is quite problematic when modeling the job flow in a manufacturing process. As a result, the quality of the models obtained may heavily depend on the experience and personal preference of the modeler. The goal of this paper is to develop a method to standardize and automate the modeling process using standard manufacturing key performance indices in the framework of Bernoulli serial production line model.
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Shimizu, Takafumi, Satoshi Kanai, Masayuki Ichinohe, Toshijiro Ohashi, and Yasuo Nakagawa. "Development of a Production Information Management System to Support Environmental CSR Activities for Process Production." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35316.

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Recently, awareness of Corporate Social Responsibility (CSR) has been raised and various environmental regulations have spread in many countries. Under this situation, manufacturers of process production, production information management systems are required that can archive and retrieve data not only of final products and raw materials but of chemical substances contained, intermediate products and wastes generated, and energy consumption during the production. However, management systems and product models currently used for assembly production do not fit the above requirement. To solve the problem, first, an object-oriented process-product model was designed which can represent these data and can be easily implemented on commercial ORDBMS. Second, traceability functions of explosion and implosion covering chemical substances, intermediate products, wastes and energy were developed on the ORDBMS. Third, a generic environmental law model was designed which can represent restrictions of various environmental regulations in a uniform way. Finally, a conformance checking function for environmental regulations was developed by combining the generic environmental law model with the process-product model. The effectiveness of the models and functions was verified by applying them to full-scale production data of functional polymer films and checking its conformance to RoHS and EuP directives.
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Abou El Ela, A. A., and R. A. El-Sehiemy. "Modified particle swarm optimization models for production cost minimization in deregulated power system." In 2007 42nd International Universities Power Engineering Conference (UPEC '07). IEEE, 2007. http://dx.doi.org/10.1109/upec.2007.4468915.

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O'Riordan, Sheila, Joseph Feller, Gaye Kiely, and Bill Emerson. "Theorizing Hybrid Models of Peer Production: A Case Study of an Open Collaborative Journalism Platform." In Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2020. http://dx.doi.org/10.24251/hicss.2020.064.

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Van Zandvoord, Walrick E. J. J., and Martijn Hooimeijer. "Smart Model Simplifications to Speed Up Uncertainty Analysis of Integrated Production System Models used for MT forecasting." In Asia Pacific Oil and Gas Conference and Exhibition. Society of Petroleum Engineers, 2007. http://dx.doi.org/10.2118/108947-ms.

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Reports on the topic "Production system models"

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BRANNON, NATHAN G. A Review of Production System Models of Cognition and Example Demonstration. Office of Scientific and Technical Information (OSTI), December 2002. http://dx.doi.org/10.2172/808592.

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Diakov, Victor, Wesley Cole, Patrick Sullivan, Gregory Brinkman, and Robert Margolis. Improving Power System Modeling. A Tool to Link Capacity Expansion and Production Cost Models. Office of Scientific and Technical Information (OSTI), November 2015. http://dx.doi.org/10.2172/1233204.

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Bożek, Małgorzata. FILM PRODUCTION IN POLAND. STAGES: FROM AN IDEA TO THE SCREEN. Ivan Franko National University of Lviv, March 2021. http://dx.doi.org/10.30970/vjo.2021.50.11112.

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The Polish film system is characterized by a variety of forms. Michał Zabłocki, the author of the comprehensive study of the «Organization of the production of feature film in Poland», isolates two models of world cinema: a producer and a producer – director. The first one features the dominant role of the producer, which means the person who is responsible for the work of all the film departments – direction, cinematography, production management, scenography and costume design. The second one, the model which is still the most popular in Poland, assumes close cooperation between the producer and the director.
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Nitta, C., R. Logan, S. Chidester, and M. Foltz. Benefit/Cost Ratio in Systems Engineering: Integrated Models, Tests, Design, and Production. Office of Scientific and Technical Information (OSTI), October 2004. http://dx.doi.org/10.2172/15011407.

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Conrad, Stephen Hamilton, Patrick D. Finley, Walter Eugene Beyeler, Robert John, Jr Glass, Peter Breen, Marshall Kuypers, Matthew David Norton, Tu-Thach Quach, Matthew Antognoli, and Michael David Mitchell. A general model of resource production and exchange in systems of interdependent specialists. Office of Scientific and Technical Information (OSTI), November 2011. http://dx.doi.org/10.2172/1031298.

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Long, M. S., William C. Keene, J. Zhang, B. Reichl, Y. Shi, T. Hara, J. S. Reid, et al. Evaluation of Simulated Marine Aerosol Production Using the WaveWatchIII Prognostic Wave Model Coupled to the Community Atmosphere Model within the Community Earth System Model. Office of Scientific and Technical Information (OSTI), November 2016. http://dx.doi.org/10.2172/1331376.

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VanKuiken, J. C., T. D. Veselka, K. A. Guziel, D. W. Blodgett, S. Hamilton, J. A. Kavicky, V. S. Koritarov, M. J. North, A. A. Novickas, and K. R. Paprockas. APEX user`s guide - (Argonne production, expansion, and exchange model for electrical systems), version 3.0. Office of Scientific and Technical Information (OSTI), November 1994. http://dx.doi.org/10.2172/10109562.

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Sprock, Timothy. A Model-Driven Approach to Interoperability Between Simulation and Optimization for Production and Logistics Systems. National Institute of Standards and Technology, December 2020. http://dx.doi.org/10.6028/nist.ir.8326.

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Merkulova, Yuliya. Система цифровых моделей - новая технология для баланса данных. Yuliya Merkulova, April 2021. http://dx.doi.org/10.12731/er0430.26042021.

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Use of the digital technologies is new and very productive approach for balance of different data. It is very important for balance of supply and demand and for increase of competitiveness of products. Various types of digital models were developed as a result of scientific research, they found reflection in article. Digital models for the description of the list of the sequences of steps and operations of various stages and process in general allow to install system of interrelations between operations and steps and to reach necessary log-ic, increase of effectiveness of any process. Object-relational models for establishment of communications between data of various blocks of databases and functional models of the choice of strategy of data balance form analytical base for justification of the choice of the direction of transformation of data. Models of a combination of a plurality of various data of the offer of products in the form of matrixes of multi-purpose optimization have double effect, because they allow not only to develop various options of data combina-tion, taking into account opportunities of change of location of products over the markets and temporary phases, but also to estimate aggregate useful effect from products. These models together with models of comparison of various options and the choice of optimal solutions allow to generate compatible strategic and current programs of the offer of products as a plurality of the output data balanced with each other and with data of demand. It is providing the best synergetic result. The developed methodology of creation of system of the interconnected digital models for transformation of data and generation of the output data of the situational-strategic program of the offer of products is a cornerstone of formation of new digital econ-omy – of economy of balanced data.
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van Horne, P. L. M. Economics of broiler production systems in the Netherlands : Economic aspects within the Greenwell sustainability assessment model. Wageningen: Wageningen Economic Research, 2020. http://dx.doi.org/10.18174/518522.

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