Academic literature on the topic 'Production management model'

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Journal articles on the topic "Production management model"

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Kosieradzka, Anna. "Maturity Model for Production Management." Procedia Engineering 182 (2017): 342–49. http://dx.doi.org/10.1016/j.proeng.2017.03.109.

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Danilovic, Dusan, Vesna Karovic-Maricic, and Branko Lekovic. "Small oilfield integrated production management model." Podzemni radovi, no. 28 (2016): 19–27. http://dx.doi.org/10.5937/podrad1628019d.

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Likhacheva, L. B., L. I. Nazina, A. V. Lomanova, and N. A. Chernykh. "Information model of production system management." Proceedings of the Voronezh State University of Engineering Technologies 80, no. 4 (March 21, 2019): 128–32. http://dx.doi.org/10.20914/2310-1202-2018-4-128-132.

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Improvement of production systems of the organization is carried out through the introduction of quality management systems, changes in the model of production organization, the use of modern approaches to improve product quality and customer satisfaction. Measurement, evaluation and analysis of the production system allows to set the direction of activity to improve production processes and to develop activities aimed at ensuring the effectiveness of the whole system. The production system is an open system, it is connected and exchanged with the external environment information, resources, etc. the production system is Called the operating system, which consists of three subsystems: processing subsystem, directly related to the technological processes of raw materials and semi-finished products conversion into finished products; support subsystem, which performs auxiliary functions necessary for the implementation of the main technological processes; planning and control subsystems that receive and process information from the internal and external environment of the organization. The task of building an automated information system is connected with the need to integrate with the subsystem of data collection and analysis, visual representation of information for decision-making at all levels. Building an information management system of the production system is impossible without a powerful infrastructure, without a single information system support and process control. The proposed information system will help to automate the processes of management of the organization, quickly form the strategic and tactical goals of the organization. Within a given period of time, data will be collected and analyzed from the internal and external environment, timely analysis of deviations of the values of indicators from the planned values. The results of information processing will be timely visualized both for each employee and the production system of the organization as a whole.
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Muniz, Jorge, Edgard Dias Batista, and Geilson Loureiro. "Knowledge‐based integrated production management model." Journal of Knowledge Management 14, no. 6 (October 26, 2010): 858–71. http://dx.doi.org/10.1108/13673271011084907.

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Kristiadi Harun, Marinus, and Hariyatno Dwiprabowo. "MODEL RESOLUSI KONFLIK LAHAN DI KESATUAN PEMANGKUAN HUTAN PRODUKSI MODEL BANJAR." Jurnal Penelitian Sosial dan Ekonomi Kehutanan 11, no. 4 (December 31, 2014): 265–80. http://dx.doi.org/10.20886/jpsek.2014.11.4.265-280.

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Kamath, Nagaraj, and Lewlyn L. R. Rodrigues. "The new conceptual model for print management: Total Production Management." International Journal of Productivity and Quality Management 1, no. 1 (2019): 1. http://dx.doi.org/10.1504/ijpqm.2019.10022010.

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Kamath, H. Nagaraj, and Lewlyn L. R. Rodrigues. "The new conceptual model for print management: total production management." International Journal of Productivity and Quality Management 29, no. 3 (2020): 285. http://dx.doi.org/10.1504/ijpqm.2020.105985.

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Syrový, O., and V. Podpěra. "Simulation mathematical model of expert system for working processes management." Research in Agricultural Engineering 55, No. 1 (February 11, 2009): 1–9. http://dx.doi.org/10.17221/12/2008-rae.

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The elementary simulation mathematical models presented in this article are related with the sub-system Crop production of the expert system for the decision support in technological and working processes management and their optimisation. Along with this sub-system, the expert system also involves the sub-systems Livestock production and Material handling which is further divided into the parts Transport and Storage. The boundary between the individual parts of the expert system is usually a short-term or long-term material storage. The relative individual sub-systems are mutually connected through the information flow. For each of the sub-systems, specific simulation models are created. The simulation models in the expert system investigated replace the complex of general standards and norms used in other expert systems. The simulation models allow to take into consideration the concrete natural and production conditions (area, plots shape and inclination, soil type, transport routes length and surface, fertilisers doses, crops yields etc.) and also the technological systems utilised during the realisation of operations in working processes (technical, exploitation, energy, economical or energy means, attached vehicles, machines and equipment and method of their work) and the calculation of the parameters utilised. The simulation models also allow the creation of suitable working, and transport sets to choose their optimal variants for the given conditions. In comparison with the utilised standards and norms, the parameters computed through the simulation models significantly improve the data which represent the output from the expert system.
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Polyanskov, Yuriy, Igor Lutoshkin, Margarita Yardaeva, and Svetlana Lipatova. "Model of production schedule modification assessment for digital production management systems." IOP Conference Series: Materials Science and Engineering 497 (April 2, 2019): 012082. http://dx.doi.org/10.1088/1757-899x/497/1/012082.

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Scanlon, Michael, Vikram Sharma, and Georg Zangl. "Model centric production management systemsy—opportunity and challenges." APPEA Journal 50, no. 2 (2010): 690. http://dx.doi.org/10.1071/aj09054.

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While modelling technology is routinely used in oil and gas to control and optimise process facilities and downstream plants, the upstream sector has been slow to adopt model-based control systems, or the models are very coarse and mono-dimensional, reducing confidence in their predictive capability. Further, the models are discipline specific, and the interdependence between the subsurface and the surface is poorly evaluated. This is particularly relevant to coal seam gas developments, where well productivity planning and management needs to be considered in the context of the complete production value chain, and the dependencies between the gathering system and the processing plants considered in optimising the contract nominations. A key breakthrough technology will be a model-based control system that can assimilate all the available data, put the data into context, represent the full value chain, assess the relative impact of the components of the production train, and then assess the decision alternatives in the context of deliverability, processing cost, HSE and market opportunity in sufficient time to have an impact. Advances in data acquisition, transmission and storage, coupled with advances in computational efficiency and software engineering, mean that integrated modelling systems are realisable today.Collaboration between technology providers has delivered software tools that offer a unified perspective across the subsurface, surface gathering systems and facility worlds. The presentation will explore the technology capability, the application opportunity and organisational requirement to fully realise the potential of integrated asset models.
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Dissertations / Theses on the topic "Production management model"

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Stuart, Julie Ann. "A strategic environmentally conscious production decision model." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/24160.

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Jooste, J. L. (Johannes Lodewikus). "A performance management model for physical asset management." Thesis, Stellenbosch : Stellenbosch University, 2003. http://hdl.handle.net/10019.1/53286.

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Thesis (MScEng)--University of Stellenbosch, 2003.
ENGLISH ABSTRACT: Two fundamental aspects in modem business success are performance management and physical asset management. The current problem in the asset management environment is the lack of structured performance management, which is required to effectively control and enhance the dynamics of the asset and its life cycle. The result is ineffective assets with high life cycle costs, which will consequently influence the bottom line and return on investment, negatively. An Asset _eerformance Management Model (APM2 , pronounced A-P-M square) was developed. A sound theoretical foundation together with the experience of a leading asset management consultant resulted in the realization of a model that (i) gives a balanced view of asset performance, (ii) link asset performance to strategic business objectives, (iii) facilitates decision-making and problem solving, and (iv) enhances asset control and continuous improvement. The APM2 was developed by rese~ching and integrating five building blocks, which encompass the model requirements. The APM2 consists of two distinct components, namely: • the APM Reference Structure (APMRS), and • a range of APM Dockets. The APMRS is a basic structure that integrates the various building blocks into a framework for providing guidance and control, giving perspective on the entire model and explaining the high-level content of the model. It consists of five levels, each with a distinct focus: • Levell: Enterprise • Level2: Factory • Level3: Process Unit • Level4: Aggregate • Level5: Component The APM Dockets are a subset of the APMRS, where each level has a docket. These dockets are executable, unit-specific procedures, guiding and leading stakeholders towards improved asset performance. Also each of the five levels consists of six similar and inter-related elements. These elements are the foundation for each docket: lement 1: Stakeholders Element 2: Objectives Element 3: Measures Element 4: External Monitor & Targets Element 5: Responsibilities & Decision-Making Element 6: Control & Continuous Improvement Element 7 represents the link to the next level in the APM Reference Structure. • • • • • • Conclusively the APM2,s simplicity and understandability is realized through the APM Reference Structure, while the range of APM Dockets contribute to the practicality objective. The model has a strong theoretical foundation, but at the same time is generic, to be used in a wide range of industries. A leading asset management consultant plans to integrate the APM2 into their asset management program based on the thesis documentation. This application will test and validate the APM2 in practice. It is further recommended that an asset management program, with the associated APM2 , be used in conjunction with the Theory of Constraints and Total Productive Maintenance, because of obvious relationships. Further research is also suggested in relation with some of the experimental asset life cycle phases as well as certain financial considerations.
AFRIKAANSE OPSOMMING: Twee fundamentele aspekte in hedendaagse besigheidsukses is prestasiebestuur and fisiese batebestuur. Die huidige probleem binne die batebestuursomgewing is die gebrek aan gestruktureerde prestasiebestuur, wat 'n vereiste is vir effektiewe beheer en verbeterings rondom die bate en sy lewensiklus. Die resultaat is oneffektiewe bates met hoë lewensikluskoste wat gevolglik wins en beleggingsopbrengs negatief beïnvloed. 'n Prestasiebestuur Model vir Bates (APM2, uitgespreek as A-P-M square) is ontwikkel. 'n Deeglike teoretiese fondasie tesame metdie ondervinding van vooraanstaande raadgewende batebestuurders, het die realisering van 'n model tot gevolg gehad, wat (i) bateprestasie gebalanseerd voorstel, (ii) bateprestasie met strategiese doelstellings verbind, (iii) besluitneming and probleemoplossing fasiliteer, en (iv) batekontrole en voortdurende verbetering bevorder. Die APM2 is ontwikkel deur middel van die identifisering en integrasie van vyf boustene wat die vereistes vir die modelomvat. Die APM2 bestaan onderskeidelik uit twee komponente, naamlik: • die APM Verwysingstruktuur (APMRS), en • 'n reeks APM Vouers. Die APMRS is 'n basiese struktuur wat die verskillende boustene binne 'n raamwerk integreer en sodoende leiding en beheer fasiliteer, die model as geheel in perspektief stel en die modelinhoud op hoë vlak verduidelik. Dit bestaan uit vyf vlakke, elk met 'n spesifieke fokus: • Vlak 1: Onderneming • Vlak2: Fabriek • Vlak 3: Proseseenheid • Vlak 4: Aggregaat • Vlak 5: Komponent Die APM Vouers is 'n subdeel van die APMRS, waar elke vlak 'n vouer het. Hierdie vouers is uitvoerbare, eenheid-spesifieke prosedures wat deelhebbers lei na beter bateprestasie. Ook bestaan elkeen van die vyf vlakke uit ses soortgelyke en inter-afhanklike elemente. Hierdie elemente is die fondasie vir elk van die vouers: • Element 1: Deelhebbers • Element 2: Doelwitte • Element 3: Metings • Element 4: Eksterne Monitering & Mikpunte • Element 5: Verantwoordelikhede & Besluitneming • Element 6: Kontrole & Voortdurende Verbetering • Element 7 stel die verbinding met die volgende vlak in die APM Verwysingstruktuur voor. Gevolglik word die eenvoud en verstaanbaarheid van die APM2 gerealiseer deur die APM Verwysingstruktuur, terwyl die reeks APM Vouers bydra tot die praktiese doelwit. Die model het 'n sterk teoretiese grondslag, maar terselfdertyd is dit generies, sodat dit in 'n wye spektrum van industrieë gebruik kan word. Gebaseer op die tesis dokumentasie beplan vooraanstaande raadgewende batebestuurders om die APM2 te integreer met hul batsbestuursprogram. Hierdie toepassing sal sodoende die APM2 in die praktyk toets en bekragtig. Dit word verder aanbeveel dat 'n batebestuursprogram, met die geassosieerde APM2, tesame met die Theory of Constraints en Total Productive Maintenance gebruik word, as gevolg van voor die hand liggende verwantskappe. Verdere navorsing word ook voorgestel in verband met die eksperimentele fases binne die batelewensiklus, asook rakende sekere finansiële oorwegings.
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Hollingsworth, Keith Brian. "A warehouse benchmarking model utilizing frontier production functions." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/24856.

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Stenberg, Johan. "Global production management in newspaper production and distribution : coordination of products, processes and resources." Doctoral thesis, KTH, Production Systems, 1997. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-2485.

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This thesis covers an introduction to the present conditions for newspaper publishing, definitions and analyses of the processes of newspaper production and distribution, expected future developments with respect to products and production processes, and finally, conclusions regarding the need for global coordination of products, production and distribution.

Primarily, the conditions in the Nordic countries have been analysed. Particular attention has been drawn to Swedish morning newspapers with a circulation exceeding about 50 000 copies per publishing day.

The study has been carried out mainly through literature research, through case studies using the SDA-method, and through acquisition and analyses of production data from the case studies. In addition, interviews and questionnaires have been used.

A modern newspaper printing plant requires heavy investments. The number of newspaper printing plants is decreasing, but he number of newspaper titles printed in each plant increases. The flexibility in and utilisation of the remaining plants increases as well as the complexity and variety of the products handled.

In all case studies of newspaper production, the companies use fixed production and distribution plans, following the same timetable from day to day. Delayed press starts, deviations from the calculated production speed, and interruptions during the production immediately cause disturbances in the distribution, delay costs, and goodwill losses.

The time needed to produce a fixed number of copies varies within a wide range. Days of more complex production in the production plants meet with problems more often. The average net production speed is progressively reduced at higher page counts. Inserting operations result in an accelerated reduction. The difference is mainly caused by product related differences in cruising speed and by the occurrence of unplanned stops. The coordination of products, production and distribution is essential already today, and will be even more important in the future.

More flexible production and distribution plans would imply controlled and predictable risks. In addition, it will render increased utilisation of the resources available. A product model can be used in order to identify an associated production process model as a set of separate activities. Detailed modelling of the different activities demands detailed tracking and systematic use of the production history. A detailed activity modelling will make it possible to predict the capability of a certain activity in terms of production speed and reliability. This will facilitate coordination on a global level.

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Huallpa, Junior, Tomas Vera, Ernesto Altamirano, Carlos Raymundo, and Javier M. Moguerza. "Production management model for increasing productivity in bakery SMEs in Peru." Springer Verlag, 2019. http://hdl.handle.net/10757/656250.

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El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
There is a high margin of informality in small- and medium-sized companies in the bakery sector because of their lack of focus and poor standardization of their activities. Bakery SMEs, the activities of which have not yet been standardized, usually perform activities inefficiently, unnecessarily extending production times. The current average productivity of Lima-based SMEs is 1.7, a figure that, when compared with countries in the Pacific Alliance, is low. In addition, currently no methodologies seek continuous process improvement. Therefore, a Lean Process Management model was established to reduce activities and times. As validation, a production time simulation was performed in a warehouse, increasing the productivity to 2.08, with a percentage variation of 87.39% when compared with the initial productivity.
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Mancilla-Escobar, J., I. Maccasi-Jaurequi, C. Raymundo-Ibañez, and M. Perez. "Layout Lean model of production management based on change management to improve efficiency in the production of packaging in auto parts sector SMEs." Institute of Physics Publishing, 2020. http://hdl.handle.net/10757/656401.

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This investigation proposes a lean model of production management for a small and micro enterprise (SME) dealing in packaging production in the auto parts sector, with the purpose of increasing efficiency in its production line. To this end, this model integrates study method tools and SMED, seeking to reduce waiting times and unnecessary operations, which have been identified as causing the problem on the basis of an initial diagnosis of the situation. Furthermore, to support and guarantee success in implementing these tools, John Kotter's Change Model is used. After two months of implementation, the results showed a 50% reduction in setup operation time and a 32% decrease in filing operation time, which are bottlenecks in the production process. Thus, with the new indicators, the line efficiency increased by 7% from the initial situation, thus showing improvement.
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Francis, Merwin. "A model for assessing the anticipated relative financial impact of implementing the tools of lean manufacturing on a manufacturing concern." Thesis, Nelson Mandela Metropolitan University, 2011. http://hdl.handle.net/10948/1326.

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Lean manufacturing has seen its creators, Toyota, rise from insignificance in the middle of the previous century, to the biggest selling car manufacturer in the world today. Another Japanese car manufacturer, Honda, which has also been practising the principles of lean avidly during the last few decades, has also made huge strides towards becoming a dominant force in the car market. These Japanese companies‟ adoption of lean has seen many of their mass producing United States (US) and European counterparts struggle for survival. Maynard (2003:10) predicted that by the end of the decade, at least one of the „Big Three‟ auto makers in the US – Chrysler, Ford, and General Motors (GM) – would be forced to undertake significant restructuring to continue in operation. At the time of this writing all indications are that this prediction will come true. GM is in the process of major shareholding restructuring in an attempt to keep the company afloat, having run up insurmountable debts in the face of the current global economic downturn. Adopting the lean methodology has become a matter of necessity. The continued use of mass production methods alone is no longer viable; companies need to also employ lean methods intelligently in order to remain competitive. This study is regarded as a crucial endeavour to assist operations managers of manufacturing concerns in developing lean implementation strategies which will maximise the benefits to the organization.
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Appau, Kwaku Addae. "An integrated model of computer-aided cost estimating/scheduling in construction management." Diss., Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/23130.

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Muñante, Alejandra, Fabrizio Reyes, Fernando Sotelo, and Carlos Raymundo. "Management model for pecan production using process tools in an MSE in Peru." Springer Verlag, 2020. http://hdl.handle.net/10757/656130.

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El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
The following study proposes a production management process model based on good practices and developed with process management tools for increasing crop productivity of pecan nuts using the Ica region in the district of Pachacutec as a study area. The study covers the proposed model’s diagnosis and development. The relation between these stages is the main function of improving pecan orchard productivity. The study showed that to increase pecan productivity from 1.09 (t/ha) to 2.21 (t/ha), and to determine raw material needs, tools and/or labor, a standardized process is needed for pecan production. The study’s main contribution is the development of a production management process through which farmers can order and control production by means of indicators. Furthermore, the study proposes that the developed process of pecan production currently applied by farmers should be supported by a mathematical model simulation.
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Sosa-Perez, V., J. Palomino-Moya, C. Leon-Chavarri, C. Raymundo-Ibañez, and F. Dominguez. "Lean Manufacturing Production Management Model focused on Worker Empowerment aimed at increasing Production Efficiency in the textile sector." Institute of Physics Publishing, 2020. http://hdl.handle.net/10757/656397.

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For companies operating within the garment manufacturing industry, having frequent downtimes in their production flows is an extremely common issue. In this context, a balanced production line is required to prevent high waiting times due to limited productive capacity. A well-balanced assembly line allows products to be produced in an optimum time while using less resources, such as machines, materials, or labour, since the right number of products is produced with the exact amount of resources, thus generating savings in production costs. This paper seeks to foster optimum resource allocation through the line balancing tool. Finally, to define a work methodology, best practices were selected, and a procedures manual was developed focusing on Standardization. Both tools were implemented after implementing changes to the company culture by means of the Employee Empowerment tool. As a result of this implementation, workers acquired greater accountability and control over the resources, methods, and equipment of their work areas. After the proposed improvements had been deployed, the company reported an increase of over 20% in production line quality, performance, and efficiency.
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Books on the topic "Production management model"

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Slater, Roger. Integrated process management: A quality model. New York: McGraw-Hill, 1991.

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Butler, Ashley F. G. A production - distribution system simulation model. Dublin: University College Dublin, 1994.

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W, Moffat Donald. Plant manager's handbook of model reports and formats. Englewood Cliffs, N.J: Prentice Hall, Business & Professional Division, 1990.

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Gruber, Gottfried. Multichannel Management: A Normative Model Towards Optimality. Bern: Peter Lang International Academic Publishers, 2018.

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Owens, Alan P. World class manufacturing: An information model. Dublin: University College Dublin, 1993.

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MacDorman, Littleton C. TOP DOG: Transit operator manpower planning model. Washington, D.C: Office of Methods and Support, Urban Mass Transportation Administration, U.S. Dept. of Transportation : Distributed in cooperation with Technology Sharing Program, 1988.

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Belohlav, James A. Championship management: An action model for high performance. Cambridge, Mass: Productivity Press, 1990.

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Championship management: An action model for high performance. Cambridge, Mass: Productivity Press, 1990.

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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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Maskell, Brian H. Performance measurement for world class manufacturing: A model for American companies. Cambridge, Mass: Productivity Press, 1991.

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Book chapters on the topic "Production management model"

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Babic, Bojan R., and Goran D. Putnik. "A hierarchical model of distributed simulation of manufacturing systems." In Global Production Management, 25–33. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-0-387-35569-6_4.

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Stich, Volker, and Matthias Blum. "A Cybernetic Reference Model for Production Systems Using the Viable System Model." In Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth, 169–76. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22756-6_21.

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Caridi, Maria. "ECAS: a collaborative multi-agent system for mixed-model assembly lines programming." In Global Production Management, 96–104. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-0-387-35569-6_12.

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Kochhar, A. K., and M. K. Saeed. "A quality function deployment model of best practices in customer-supplier relationships." In Global Production Management, 235–42. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-0-387-35569-6_29.

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Nowak, Zygfryd A., and Michal J. Cichy. "Phenomenological Model of Cleaner Production." In Environmental Management Accounting for Cleaner Production, 123–39. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8913-8_7.

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Cavalieri, Sergio, Marco Garetti, Marco Macchi, and Marco Taisch. "Assessing the performances of a market-like model through an experimental comparison with dispatching rules." In Global Production Management, 120–27. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-0-387-35569-6_15.

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Kobayashi, Toma, and Masaru Nakano. "A Model to Evaluate Supply Chains in Disruption Events." In Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth, 308–15. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22759-7_36.

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Riis, Jens O., Uffe Thorsteinsson, Ari Barfod, and Erik Lyngsie. "The role of games in a model company." In Experimental Learning in Production Management, 77–86. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-0-387-35354-8_7.

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Kim, Dongwook, Jinwoo Park, and Ilkyeong Moon. "Integrated Mixed-Model Assembly Line Balancing with Unskilled Temporary Workers." In Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth, 324–31. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22759-7_38.

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Zwegers, A. J. R., H. J. Pels, R. L. J. Schrijver, and R. J. Berg. "An agent based control system for a model factory." In Advances in Production Management Systems, 103–14. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-0-387-35304-3_10.

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Conference papers on the topic "Production management model"

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Florent, Tchidi Megan, He Zhen, and Agnantounkpatin Arnaud Romaric. "The Continuous Improvement Model of Lean Production Based on Multi-type and Small-Batch Production." In 2009 International Conference on Information Management, Innovation Management and Industrial Engineering. IEEE, 2009. http://dx.doi.org/10.1109/iciii.2009.119.

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Zhang, Yin, Rongqiu Chen, and Yibin Li. "Model of Production vs. Customer Sensitivity." In 2009 International Conference on Management and Service Science (MASS). IEEE, 2009. http://dx.doi.org/10.1109/icmss.2009.5303090.

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Chinda, Thanwadee. "The Development of a Productivity Dynamic Model." In International Conference on Engineering, Project, and Production Management. Association of Engineering, Project, and Production Management, 2010. http://dx.doi.org/10.32738/ceppm.201010.0012.

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Chinda, Thanwadee, Chaiwat Manasakunkit, Thanaphat Suethrong, and Woraphong Hongpinyo. "System Dynamics Approach to an Ergonomics Model." In International Conference on Engineering, Project, and Production Management. Association of Engineering, Project, and Production Management, 2012. http://dx.doi.org/10.32738/ceppm.201209.0012.

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Han, Xiao, Yihai He, and Zhaoxiang Chen. "An integrated multi-objective production scheduling model considering the production quality state." In 2017 Prognostics and System Health Management Conference (PHM-Harbin). IEEE, 2017. http://dx.doi.org/10.1109/phm.2017.8079231.

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Gelinsky, S., and S. Sulaiman. "Identification of Reservoir Potential Offshore Brunei through Rock-model Supported Seismic QI." In Seismic Driven Reservoir Characterization and Production Management. Netherlands: EAGE Publications BV, 2015. http://dx.doi.org/10.3997/2214-4609.201412319.

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Mortensen, David A., Alex R. Martin, and Fred W. Roeth. "NebraskaHERB: A Bio-Economic Model for Weed Management." In Proceedings of the First Annual Crop Production and Protection Conference. Iowa State University, Digital Press, 1991. http://dx.doi.org/10.31274/icm-180809-354.

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Liao, Wenzhu, Xiufang Zhang, and Min Jiang. "An optimization model integrated production scheduling and preventive maintenance for group production." In 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2016. http://dx.doi.org/10.1109/ieem.2016.7798015.

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William, A. G., Y. C. Lye, and W. Y. Loh. "Building a Seismically Conditioned Geological Model from Vp/Vs Ratio Volume for Flow Simulation." In Seismic Driven Reservoir Characterization and Production Management. Netherlands: EAGE Publications BV, 2015. http://dx.doi.org/10.3997/2214-4609.201412308.

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Chinda, Thanwadee, Wacharit Engpanyalert, Areeya Tananoo, Jidapa Chaikong, and Anawat Methawachananont. "POLICY TESTING OF THE C&D WASTE RECYCLING MODEL." In International Conference on Engineering, Project, and Production Management. Association of Engineering, Project, and Production Management, 2013. http://dx.doi.org/10.32738/ceppm.201310.0106.

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Reports on the topic "Production management model"

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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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Abstract:
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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