Thematische Bibliographien / Industrial productivity Management

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Auswahl der wissenschaftlichen Literatur zum Thema „Industrial productivity Management“

Autor: Grafiati

Veröffentlicht am 4. Juni 2021

Zuletzt aktualisiert am 7. September 2023

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Zeitschriftenartikel zum Thema "Industrial productivity Management"

Machline, Claude. „Productivity Management“. Revista de Administração de Empresas 30, Nr. 1 (März 1990): 79–80. http://dx.doi.org/10.1590/s0034-75901990000100010.

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Soxadaliev, Abdurashid Mamadalievich, und Bobur Mukhammadkosim Ogli Nabiev. „Management Structure and Management Methods in Industrial Enterprises“. International Journal of Social Science Research and Review 5, Nr. 6 (11.06.2022): 223–28. http://dx.doi.org/10.47814/ijssrr.v5i6.414.

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In a market economy, management is primary tool to accomplish accepted plans with certain level of qualification, authority and responsibility to implement a company’s development strategy, such as production volume, profit, profitability, labor productivity. The article describes the role of management in the effective operation of enterprises, the scientific approaches of scientists in this area, evaluation indicators. Recommendations are given to overcome the existing problems in management activities.

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Urain, Idoia, Daniel Justel, Joan Manuel F. Mendoza und José Alberto Eguren. „Industrial eco-productivity tool: A case study of industrial SMEs“. International Journal of Production Management and Engineering 11, Nr. 1 (31.01.2023): 43–52. http://dx.doi.org/10.4995/ijpme.2023.18979.

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This paper presents a new, unified method to measure and increase production and environmental performance in industrial SMEs (Small and Medium Enterprises), which have very limited resources, by identifying areas to improve and forming related projects. This structured, easy-to-apply method is based on standard systems to measure waste production efficiency and eco-efficiency and unifies them in a single reference value. In addition, a case study is shown where the industrial eco-efficiency of the company is obtained with the developed tool.

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Коновалова, Г. И. „METHODOLOGY OF LABOR PRODUCTIVITY MANAGEMENT AT AN INDUSTRIAL ENTERPRISE“. Organizer of Production, Nr. 1 (02.06.2021): 21–29. http://dx.doi.org/10.36622/vstu.2021.62.97.002.

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Введение. Предлагаются концепция, методология и инструменты управления производительностью труда на промышленном предприятии посредством новой модели оперативного управления производством. В данной модели осуществляется управление комплектностью незавершенного производства для создания заделов деталей и сборочных единиц на нормативном уровне на всех этапах производственного цикла с учетом динамики производства. Очередь производства деталей и сборочных единиц является инструментом составления оперативных плановых заданий для производственных участков, поддержания комплектности заделов и ключевым фактором образования ресурса времени для увеличения выпуска продукции. Ситуационный подход при формировании очереди производства учитывает непрерывно изменяющиеся производственные ситуации в многономенклатурном разнотипном производстве. Методы исследования. Концепция управления производительностью труда на промышленном предприятии разработана на основе системного анализа различных внутренних и внешних факторов, которые влияют на организацию ритмичного производства и равномерного в соответствии с заданным графиком выпуска готовой продукции, и учета их в новой модели оперативного управления производством. В качестве основных инструментов в системе оперативного планирования производства принимаются динамичный план-график выпуска деталей и сборочных единиц и очередь производства (очередь выполнения технологических операций). В механизме управления производительностью труда на промышленном предприятии используется совокупность управляемых параметров – показателей для оперативного планирования, учета и регулирования комплектности незавершенного производства, производственных запасов и производственных затрат. Результаты исследования. Разработаны теоретико-методологические основы оперативного управления производительностью труда на промышленном предприятии в рамках универсальной системы оперативного управления для многономенклатурного разнотипного динамичного производства. Предложены управляемые параметры, позволяющие управлять комплектностью незавершенного производства, производственными запасами и производственными затратами, устранять потери любого рода, а сохраненные ресурсы использовать для роста производительности труда на промышленном предприятии в современных условиях. Построена новая динамическая модель оперативного управления производством, позволяющая адаптироваться к постоянным изменениям, учитывающая неопределенность и неоднозначность окружающей среды. Данная модель пригодна для цифрового моделирования и планирования процессов производства. Заключение. Предлагаемая методология позволяет выполнять и создавать ресурсы времени для повышения производительности производства на промышленном предприятии на основе поддержания на нормативном уровне производственных запасов и комплектного незавершенного производства, снижения производственных затрат за счет экономии различных ресурсов и сокращения производственного цикла. Introduction. The concept, methodology and tools for managing labor productivity in an industrial enterprise through a new model of operational production management are proposed. In this model, the completeness of work-in-progress is managed to create reserves of parts and assembly units at the regulatory level at all stages of the production cycle, taking into account the dynamics of production. The production queue of parts and assembly units is a tool for drawing up operational planning tasks for production sites, maintaining the completeness of the reserves and a key factor in the formation of a time resource for increasing production output. The situational approach to the formation of the production queue takes into account the continuously changing production situations in a multi-product production of different types. Research methods. The concept of labor productivity management at an industrial enterprise is developed on the basis of a systematic analysis of various internal and external factors that affect the organization of rhythmic production and uniform output of finished products in accordance with a given schedule, and their consideration in the new model of operational production management. As the main tools in the system of operational production planning, a dynamic schedule for the production of parts and assembly units and a production queue (the queue for performing technological operations) are accepted. The mechanism of labor productivity management at an industrial enterprise uses a set of managed parameters-indicators for operational planning, accounting and regulation of the completeness of work in progress, production stocks and production costs. The results of the study. The theoretical and methodological foundations of operational management of labor productivity at an industrial enterprise are developed within the framework of a universal system of operational management for multi-nomenclature, multi-type, dynamic production. We propose manageable parameters that allow you to manage the completeness of work in progress, production stocks and production costs, eliminate losses of any kind, and use the saved resources to increase labor productivity at an industrial enterprise in modern conditions. A new dynamic model of operational management of production is constructed, which allows to adapt to constant changes, taking into account the uncertainty and ambiguity of the environment. This model is suitable for digital modeling and planning of production processes. Conclusion. The proposed methodology allows you to perform and create time resources to increase production productivity in an industrial enterprise by maintaining production stocks and complete work-in-progress at the standard level, reducing production costs by saving various resources and reducing the production cycle.

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Weiermair, Klaus. „Industrial training: Foundation of japan's productivity record“. European Management Journal 5, Nr. 2 (Juni 1987): 127–34. http://dx.doi.org/10.1016/s0263-2373(87)80076-2.

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Klingner, Stephan, Stephanie Pravemann und Michael Becker. „Service productivity in different industries – an empirical investigation“. Benchmarking: An International Journal 22, Nr. 2 (02.03.2015): 238–53. http://dx.doi.org/10.1108/bij-04-2013-0047.

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Purpose – The purpose of this paper is to quantitatively evaluate of the current status of productivity management of industrial and non-industrial service companies in Germany. Based on that knowledge, best practices and needs regarding tools and methods can be identified. Design/methodology/approach – In two qualitative pre-studies the theoretical foundation of service productivity was built. Using this knowledge, a quantitative empirical survey was conducted, including almost 2000 service companies. The sampling frame was based on a company database provided by Hoppenstedt. Samples were randomly selected using proportionate stratified sampling. Findings – The findings show the economic importance and meaningfulness of service productivity management, independently from the industry. Research limitations/implications – Due to the chosen population, the findings are limited to Germany. Furthermore, a more detailed comparison of service industries beyond industrial and non-industrial services was not feasible. Practical implications – The data contained evidence that companies conducing productivity management are more successful than those who are not. This underlines the economic importance service productivity management. Originality/value – The paper provides reliable, quantitative insights of the current status, demands, and benefits of service productivity management in the industrial as well as non-industrial sector.

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POPOV, Viktor L., und Tatyana V. ALEXANDROVA. „Methodological approach to managing industrial enterprises while implementing labor productivity projects“. Espacios 42, Nr. 02 (31.01.2021): 125–37. http://dx.doi.org/10.48082/espacios-a21v42n02p11.

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Analysis of issues related to labor productivity projects at Russian enterprises showed that the research mostly focus on identifying ways for increasing business productivity, but not on how organizational management fundamentals influence performance targets. Therefore, applying an integrative approach, the authors investigate the possibilities of transforming the management of enterprises that implement projects to increase labor productivity. An integrative model of enterprise management has been developed and tested in practice, which ensures a higher growth of labor productivity.

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Tucker, Richard L. „Management of Construction Productivity“. Journal of Management in Engineering 2, Nr. 3 (Juli 1986): 148–56. http://dx.doi.org/10.1061/(asce)9742-597x(1986)2:3(148).

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Bender, Stefan, Nicholas Bloom, David Card, John Van Reenen und Stefanie Wolter. „Management Practices, Workforce Selection, and Productivity“. Journal of Labor Economics 36, S1 (02.01.2018): S371—S409. http://dx.doi.org/10.1086/694107.

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Sullivan, Terry. „Trade Unions, Management and Productivity“. Employee Relations 7, Nr. 2 (Februar 1985): 8–11. http://dx.doi.org/10.1108/eb055048.

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Dissertationen zum Thema "Industrial productivity Management"

Sivropoulos-Valero, Anna. „Essays on skills, management and productivity“. Thesis, London School of Economics and Political Science (University of London), 2018. http://etheses.lse.ac.uk/3802/.

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This thesis investigates the role of skills and universities in explaining differences in economic performance between firms and regions. The first chapter examines the relationship between university entry and GDP growth between 1950 and 2010 based on new data that combines university entry in 1,500 regions across 78 countries. It finds that a 10% increase in a region’s universities is associated with 0.4% higher GDP per capita in that region, with evidence of spillovers to neighbouring regions. Part of the university effect appears to be mediated through increases in human capital and innovation, and we also find evidence that universities shape views on democracy. Focusing on the UK, the second chapter studies how university growth impacts on local industry composition and productivity using panel data on firms and nearby university enrolments over the period 1997-2016. This spatial analysis reveals that university growth stimulates high-tech start-ups and the effects are stronger for higher quality, research intensive universities and areas of higher initial human capital. Employment effects are more muted, though smaller establishments appear to get larger as universities grow. On average, positive productivity impacts are found only in more high-tech intensive areas. The third chapter provides evidence for a complementarity between modern management practices and higher education using data on manufacturing firms, universities and labour markets across 19 countries. It finds that firms further from universities have lower management scores, even when controlling for a rich set of observables and region fixed effects. Analysis using estimates of regional skill premia suggests that variation in the price of skills drives these effects. The fourth chapter examines differences in economic performance across the UK using a variety of data sources and measures. Ten stylised facts are presented which are relevant for policymakers and researchers engaged in the development of industrial strategy in the UK.

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Al-Khawaldeh, Khleef A., University of Western Sydney, College of Law and Business und School of Management. „Total quality management and productivity in industrial corporations in Jordan“. THESIS_CLAB_MAN_AlKhawaldeh_K.xml, 2001. http://handle.uws.edu.au:8081/1959.7/409.

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The purpose of this analytical study is to determine the degree of application of Total Quality Management (TQM) philosophy and practices in the industrial corporations in Jordan. Through detailed examination of primary and secondary empirical data from these corporations, the study examines the link between TQM and labour productivity. The population of the study consists of all Jordanian shareholding corporations listed under the industrial category in Amman Stock Exchange. In late 1998, this consisted of a total of 90 companies. Both quantitative and qualitative data were collected and analysed in investigating the relationship between TQM implementation and labour productivity. Detailed survey responses from 76 participating companies were classified into two groups: high-level TQM implementation and low-level TQM implementation. About 60% of these companies were classified as companies with high-level TQM. Descriptive analysis of the survey responses plus company report data found that mean labour productivity measurements for companies with high-level TQM were significantly higher than for those with low-level TQM over the years (1993-1998). Also mean growth rates of labour productivity measurements for companies with high-level TQM were higher than for those with low-level of TQM during this period. Regression analysis demonstrated a statistically significant positive relationship between TQM and labour productivity. This relationship showed a high positive slope in companies with ISO 9000 certification, and considerably lower (but still positive) slope in companies without ISO 9000 certification.
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Al-Khawaldeh, Khleef A. „Total quality management and productivity in industrial corporations in Jordan“. Thesis, View thesis View thesis, 2001. http://handle.uws.edu.au:8081/1959.7/409.

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Al-Khawaldeh, Khleef A. „Total quality management and productivity in industrial corporations in Jordan /“. View thesis View thesis, 2001. http://library.uws.edu.au/adt-NUWS/public/adt-NUWS20030408.095020/index.html.

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Unel, Bulent. „Essays on technology diffusion, trade, and productivity /“. View online version; access limited to Brown University users, 2005. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:3174685.

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Zane, Giulia. „Workers' absences and productivity in the Indian registered manufacturing sector“. Thesis, London School of Economics and Political Science (University of London), 2016. http://etheses.lse.ac.uk/3469/.

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It is a well-established fact that increasing firms’ productivity is a necessary step to achieve sustainable growth and development. In fact, low levels of productivity, in particular in the registered manufacturing sector, represent a major challenge for the Indian economy. One key obstacle faced by these firms is the high level of employment protection, which makes it difficult to compete with the other sectors that largely rely on informal labour or flexible contracts. High labour protection increases the incentive for workers to be absent from the factories whenever they have access to better job opportunities elsewhere. Moreover, India is undergoing a process of structural transformation, which is characterised by movement of workers from agriculture into manufacturing. During this process workers are often engaged in both sectors, particularly so across seasons. In fact, the lack of job opportunities during the lean agricultural seasons allows manufacturing firms to pay relatively low wages but, during the peak seasons, workers may find casual jobs in agriculture attractive and leave the firm temporarily. Using firm level data, representative of the entire registered manufacturing sector, I find that absence rates are very high and negatively correlated with firms’ productivity. In particular, I notice that absence rates tend to be highest when labour demand in agriculture is highest, i.e. during the harvest seasons. Using worker level data from a large jute mill, I find that this behaviour is most common among workers who are recent migrants from rural to urban areas who have access to agricultural jobs in their home villages. I exploit exogenous shocks to agricultural productivity, that increase seasonality in agricultural labour demand, to estimate the effect of seasonal absences on firms’ output. Finally, I develop a theoretical framework that that illustrates how seasonal absences can be interpreted as a consequence of asymmetric labour market rigidities between the two sectors and estimate the cost of these rigidities in terms of loss in manufacturing output and employment.

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Tremblay, Isabelle. „L'impact des démarches de réingénierie et de réorganisation du travail sur l'efficacité productive des entreprises /“. Thèse, Chicoutimi : Université du Québec à Chicoutimi, 2003. http://theses.uqac.ca.

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Mansour, Mazen. „What drives innovation and productivity? : a case study using data for German firms“. Thesis, University of Gloucestershire, 2017. http://eprints.glos.ac.uk/5593/.

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This work attempts to explain the relationship between innovation expenditure, innovation outputs, and firm productivity. It investigates the key factors that drive these relationships using unbalanced German manufacturing panel data at firm level captured by the Mannheim Innovation Panel (MIP) between 2003 and 2013. A structural equation model is employed to test the data consisting of three stages proposed by the Crepon, Duguet, and Mairesse econometric model (CDM) framework. The first stage is a Heckman model to control for selection bias and to explain the firm’s decision if participating in innovation activities or not, and the level of expenditure on innovation in relation to its previous labour productivity. The second stage is the knowledge production function in which innovation expenditure generates economically valuable knowledge in the form of different types of innovation. The third stage is the production function, which describes the relationship between generating innovation and labour productivity. This work focuses on testing the CDM and the expansions on process innovation and organisational innovation in the production function using the Principal Component Analysis (PCA) approach. The results imply that the firm’s decision to involve itself in innovation activities is positively associated with its previous labour productivity. However, for those firms which participate in innovation activities, the previous labour productivity affects the level of expenditure on innovation negatively. The estimation results of the knowledge production function suggest that product innovation in the form of new to the firm of clearly improved products rises with innovation expenditure. The estimation results of the production function promote the role of presenting market novelties, process innovation targeted at the reduction of average costs, and organisational innovation as sources for labour productivity. A set of determinants that might affect innovation and productivity were investigated. The empirical results suggest that market novelties are driven by qualified personnel, however, this study was unable to find drivers for process and organisational innovations.

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Chen, Wen-Chih. „Integrating approaches to efficiency and productivity measurement“. Diss., Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/25422.

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Yildirim, Hayri Tacettin 1957. „THE IMPACT OF OPERATIONS MANAGEMENT TECHNIQUES ON PRODUCTIVITY UNDER TURKISH PREMIER OZAL'S NEW INDUSTRIAL POLICY“. Thesis, The University of Arizona, 1987. http://hdl.handle.net/10150/276541.

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This thesis is an introductory research study on the impact of operations management techniques on productivity under Turkish Premier Turgut Ozal's industrial policy. The effectiveness of opening up the economy to international competition has been analyzed by comparing the present industrial productivity to the productivity figures before Premier Turgut Ozal. The evaluation is done through four major areas: quality, operations research techinques, inventory and manpower planning. The final chapter gives a summary of the findings and suggests that competition most likely has helped Turkish industry increase their productivity in these four areas.

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Bücher zum Thema "Industrial productivity Management"

Productivity improvement management: Bialek's productivity law. San Francisco: California Management Press, 1986.

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S, Bhatia B., Hrsg. Management of productivity in Indian industries. New Delhi: Deep & Deep Publications, 1988.

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Dale, Timpe A., Hrsg. Productivity. New York: Facts on File, 1989.

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M, Burnham John, Hrsg. Managing productivity and change. Cincinnati: South-Western Pub., 1991.

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Organization, Asian Productivity, und APO Symposium on Productivity Management at Firm Level (1984 : Singapore), Hrsg. Productivity management at firm level. Tokyo: Asian Productivity Organization, 1986.

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Management for productivity. 3. Aufl. New York, N.Y: Wiley, 1989.

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Schermerhorn, John R. Management for productivity. Chichester: Wiley, 1986.

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Management for productivity. 4. Aufl. New York: Wiley, 1993.

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Management for productivity. 2. Aufl. New York: Wiley, 1986.

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Management for productivity. 4. Aufl. New York: Wiley, 1993.

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Buchteile zum Thema "Industrial productivity Management"

Aly, A. A., und C. G. J. Baker. „Productivity Issues: Industrial Engineering and Operations Management“. In Handbook of Food Factory Design, 147–69. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7450-0_6.

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Miller, Steven M. „Industrial Robotics and Flexible Manufacturing Systems“. In The Management of Productivity and Technology in Manufacturing, 9–55. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4613-2507-9_2.

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Charrua-Santos, Fernando, Beatrice Paiva Santos, Cindy Calderón-Arce, Geovanni Figueroa-Mata und Tânia Miranda Lima. „Scheduling Operations and SMED: Complementary Ways to Improve Productivity“. In Industrial Engineering and Operations Management I, 221–27. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14969-7_19.

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Nowicki, Tadeusz, und Robert Waszkowski. „Productivity Oriented Cooperative Approach to Scheduling IT Project Tasks“. In Computer Information Systems and Industrial Management, 354–65. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59105-6_30.

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Parmar, Dhruv P., und Yogesh M. Puri. „Lean Management in a Medium-Scale Foundry to Improve Productivity“. In Lecture Notes on Multidisciplinary Industrial Engineering, 237–57. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6017-0_15.

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Bautista, Joaquín, und Rocío Alfaro-Pozo. „A MILP Approach to Maximize Productivity in Mixed-Model Assembly Lines“. In Lecture Notes in Management and Industrial Engineering, 145–53. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44530-0_18.

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de la Fuente Aragón, M. Victoria, Lorenzo Ros-McDonnell und Manuel Cardós Carboneras. „Impact of Lean Manufacturing on Productivity and Quality in a Food Company“. In Lecture Notes in Management and Industrial Engineering, 159–66. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96005-0_20.

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Murat, Mirac, Yildiz Kose und Emre Cevikcan. „Efficiency Evaluation of Turkish Sports Federations Using DEA-Based Malmquist Productivity Index“. In Lecture Notes in Management and Industrial Engineering, 77–91. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08782-0_7.

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Li, Jian, und Zhe Pan. „Resource Productivity in Tianjin Based on Ecological Footprint“. In The 19th International Conference on Industrial Engineering and Engineering Management, 1325–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38442-4_139.

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Martínez Sánchez, Paloma, Natalia Rincón Ballesteros und Diana Fuentes Olaya. „Impact of 5S on Productivity, Quality, Organizational Climate and IS at Tecniaguas S.A.S“. In Lecture Notes in Management and Industrial Engineering, 247–55. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14078-0_28.

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Konferenzberichte zum Thema "Industrial productivity Management"

Lestari, Fitra, Irsan Nuari und Vera Devani. „American Productivity Center Method for Measuring Productivity in Palm Oil Milling Industry“. In 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2018. http://dx.doi.org/10.1109/ieem.2018.8607622.

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Qian, Li, und Liu Dawei. „Efficiency and Productivity in the Chinese Maritime Seaports“. In 2009 International Conference on Information Management, Innovation Management and Industrial Engineering. IEEE, 2009. http://dx.doi.org/10.1109/iciii.2009.484.

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Xin, Lei, und Chunyan Du. „The Effect of Digital Economy on Industrial Total Factor Productivity“. In The 10th International Symposium on Project Management, China. Riverwood, NSW, Australia: Aussino Academic Publishing House, 2022. http://dx.doi.org/10.52202/065147-0105.

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Ren, Lihong. „Productivity Evaluation to Chinese Agriculture Based on SBM Model“. In 2009 International Conference on Information Management, Innovation Management and Industrial Engineering. IEEE, 2009. http://dx.doi.org/10.1109/iciii.2009.127.

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Tsai, H. T., T. H. Ho und C. N. Wang. „Productivity Evaluation of Asia Textile Industry“. In 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2020. http://dx.doi.org/10.1109/ieem45057.2020.9309933.

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Porntepkasemsant, Patraporn, und Santi Charoenpornpattana. „Factor affecting construction labor productivity in Thailand“. In 2015 International Conference on Industrial Engineering and Operations Management (IEOM). IEEE, 2015. http://dx.doi.org/10.1109/ieom.2015.7093749.

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Banganayi, Farai, Livhuwani Libunyu und Kasongo Nyembwe. „Investigation of Factors Reducing Foundry Coreshop Productivity“. In 4th African International Conference on Industrial Engineering and Operations Management. Michigan, USA: IEOM Society International, 2023. http://dx.doi.org/10.46254/af04.20230132.

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SANTOS, CARLOS JEFFERSON DE MELO, ANGELO MARCIO OLIVEIRA SANTANNA und JOILSON NASCIMENTO PAIM. „Proposal for productivity indicators through the Manufacturing Execution Systems“. In International Joint Conference on Industrial Engineering and Operations Management. International Joint Conference on Industrial Engineering and Operations Management, 2023. http://dx.doi.org/10.14488/ijcieom2023_full_0038_37810.

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You, Shaqiu. „The Impact of Industrial Structure on Aggregate Carbon Productivity Growth in China“. In International Conference on Management, Computer and Education Informatization. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/mcei-15.2015.51.

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Rachman, Mohamad Alif Ghifari, Achmad Rafii Syafran, Wisnu Arisputro Prabowo und Brilly Andro Makalew. „Productivity During Pandemic: Mobile Based Attendance Taking and Task Management“. In 2nd Indian International Conference on Industrial Engineering and Operations Management. Michigan, USA: IEOM Society International, 2022. http://dx.doi.org/10.46254/in02.20220577.

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Berichte der Organisationen zum Thema "Industrial productivity Management"

Elias, Emile, Caiti Steele, Kris Havstad, Kerri Steenwerth, Jeanne Chambers, Helena Deswood, Amber Kerr et al. Southwest Regional Climate Hub and California Subsidiary Hub Assessment of Climate Change Vulnerability and Adaptation and Mitigation Strategies. United States. Department of Agriculture, August 2015. http://dx.doi.org/10.32747/2015.6879806.ch.

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In 2015, the Southwest and California Climate Hubs published a report describing the potential vulnerability of crops, forests and animal agriculture to climate-driven environmental changes. The exposure of specific sectors of the agricultural and forestry industries varies across the region because the Southwest is climatically and topographically diverse. There is also variability in the sensitivity of different systems to the effects of climate change. Most significantly, there is potential within agricultural and forestry systems to adjust to climate-related effects either through inherent resilience or through conservative management practices. The purpose of this report is to describe regional vulnerabilities to climate change and adaptive actions that can be employed to maintain the productivity of working lands in the coming decades.

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Elias, Emile, Caiti Steele, Kris Havstad, Kerri Steenwerth, Jeanne Chambers, Helena Deswood, Amber Kerr et al. Assessment of Climate Change Vulnerability and Adaptation and Mitigation Strategies in the Southwest and California. USDA Southwest Climate Hub, Oktober 2017. http://dx.doi.org/10.32747/2017.6965582.ch.

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This report describes the potential vulnerability of specialty crops, field crops, forests, and animal agriculture to climate-driven environmental changes. Here, vulnerability is defined as a function of exposure to climate change effects, sensitivity to these effects, and adaptive capacity. The exposure of specific sectors of the agricultural and forestry industries varies across the region because the Southwest is climatically and topographically diverse. There is also variability in the sensitivity of different systems to the effects of climate change. Most significantly, there is potential within agricultural and forestry systems to adjust to climate-related effects either through inherent resilience or through conservative management practices. The purpose of this analysis is to describe regional vulnerabilities to climate change and adaptive actions that can be employed to maintain productivity of working lands in the coming decades.

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Finkelstain, Israel, Steven Buccola und Ziv Bar-Shira. Pooling and Pricing Schemes for Marketing Agricultural Products. United States Department of Agriculture, August 1993. http://dx.doi.org/10.32747/1993.7568099.bard.

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In recent years there has been a growing concern over the performance of Israel and U.S. agricultural marketing organizations. In Israel, poor performance of some marketing institutions has led to radical reforms. Examples are the two leading export industries - citrus and flowers. In the U.S., growth of local market power is eliminating competitive row product prices which served as the basis for farmer cooperative payment plans. This research studies, theoretically, several aspects of the above problem and develops empirical methods to assess their relative importance. The theoretical part deals with two related aspects of the operation of processing and marketing firms. The first is the technological structure of these firms. To this end, we formalize a detailed theory that describes the production process itself and the firm's decision. The model accounts for multiple products and product characteristics. The usefulness of the theory for measurement of productivity and pricing of raw material is demonstrated. The second aspect of the processing and marketing firm that we study is unique to the agricultural sector, where many such firms are cooperatives. In such cooperative an efficient and fair mechanism for purchasing raw materials from members is crucial to successful performances of the firm. We focus on: 1) pricing of raw materials. 2) comparison of employment of quota and price regimes by the cooperative to regulate the quantities, supplied by members. We take into consideration that the cooperative management is subject to pressure from member farmers. 3) Tier pricing for raw materials in order to ensure efficiency and zero profits at the cooperative level. This problem is examined in both closed and open cooperatives. The empirical part focuses in: 1) the development of methodologies for estimating demand for differentiated products; 2) assessing farmers response to component pricing; 3) measurement of potential and actual exploitation of market power by an agricultural marketing firm. The usefulness of the developed methodologies are demonstrated by several application to agricultural sub-sectors, including: U.S. dairy industry, Oregon wine industry, Israeli Cotton industry and Israeli Citrus industry.

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