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Published: 18 April 2023

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1

He, Shuping, and Xiaoli Luan. Multi-model Jumping Systems: Robust Filtering and Fault Detection. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6474-5.

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2

Archibald, T. W. An aggregate stochastic dynamic programming model of multi-reservoir systems. Edinburgh: University of Edinburgh, Management School, 1996.

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3

M, McGraw Sandra, and Langley Research Center, eds. The multiple-function multi-input/multi-output digital controller system for the AFW wind-tunnel model. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1992.

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4

M, McGraw Sandra, and Langley Research Center, eds. The multiple-function multi-input/multi-output digital controller system for the AFW wind-tunnel model. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1992.

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5

C, Georgiadis Michael, Pistikopoulos Efstratios N, and Dua Vivek, eds. Multi-parametric model-based control: Theory and applications. Weinheim: Wiley-VCH, 2007.

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6

Pakanen, Jouko. Prediction and fault detection of building energy consumption using multi-input, single-output dynamic model. Espoo: Technical Research Centre of Finland, 1992.

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7

Riley, Tracy C. Computation of chemical equilbrium in nonideal multi-electrolyte systems and the determination of activity-coefficient-model parameters. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1992.

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8

Xiang, Wei-Ning. Evaluation of landscape plan alternatives: The application of a fuzzy group multi-criteria decision making model. Amherst: Massachusetts Agricultural Experiment Station, College of Food and Natural Resources, 1987.

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9

Anastasopoulos, Achilles. Cross model access in the multi-lingual, multi-model database management system. Monterey, Calif: Naval Postgraduate School, 1997.

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10

Mao, K. Z. Multi-directional model validity tests for nonlinear system identification. Sheffield: University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1997.

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11

Hogan, Thomas Rivero. Interconnection of the Graphics Language for Database system to the Multi-Lingual, Multi-Model, Multi-Backend Database System over an Ethernet network. Monterey, Calif: Naval Postgraduate School, 1989.

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12

Sheehan, William A. The design of a DL/I-to-network interface for the multi-model, multi-lingual, multi-backend database system. Monterey, Calif: Naval Postgraduate School, 1989.

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13

Zawis, John A. Accessing hierarchical databases via SQL transactions in a multi-model database system. Monterey, Calif: Naval Postgraduate School, 1987.

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14

Walpole, Dennis A. Accessing network databases via SQL transactions in a multi-model database system. Monterey, Calif: Naval Postgraduate School, 1989.

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15

Todd, Carrico, Armstrong Laboratory (U.S.), and TASC Inc, eds. An Integrated Model Development Environment (IMDE) multi-function aerospace support system (MASS study). Wright-Patterson Air Force Base, Ohio: Armstrong Laboratory, Air Force Material Command, 1996.

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16

Sympson, William Goebel Anthony. Graphic interface for Attribute-Based Data Language queries from a personal computer to the Multi-Lingual, Multi-Model, Multi-Backend Database System over an ethernet network. Monterey, Calif: Naval Postgraduate School, 1989.

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17

Murav'ev, Dmitriy, Aleksandr Rahmangulov, Nikita Osincev, Sergey Kornilov, and Aleksandr Cyganov. The system "seaport - "dry" port". ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1816639.

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The monograph presents an approach to solving the problem of increasing the throughput and processing capacity of seaports in conditions of limiting their territorial dislocation and increasing the unevenness of external and internal cargo flows. The basis of the approach is the proposed system of the main parameters of the dry port and the methodology of simulation modeling of the functioning of the system "seaport - dry port". The material is illustrated with examples of the implementation of the developed approach, including model scenarios of multi-agent optimization of the parameters of the system under study. The proposed approach and the developed methodology can be used to justify management decisions on the balanced development of transport and logistics infrastructure of the regions hosting sea and dry ports. It is intended for specialists of transport and logistics companies, engineering and technical workers engaged in solving problems in the field of logistics, supply chain management and transport infrastructure design. In addition, it is recommended to students in the following programs: postgraduate studies 23.06.01 "Land transport engineering and technology" (focus "Transport and transport-technological systems of the country, its regions and cities, organization of production in transport") and 27.06.01 "Management in technical systems" (focus "Management of transportation processes"); master's degree 23.04.01 "Technology of transport processes" (profile "Organization of transportation and management in a single transport system"); bachelor's degree 38.03.02 "Management" (profile "Logistics") and 23.03.01 "Technology of transport processes".
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18

Langen, Dieter. Strategic bank asset liability management: A multi-objective decision model and decision support system for strategic bank asset liability management. Frankfurt am Main: P. Lang, 1989.

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19

House, Juliane. Translation quality assessment: A model revisited. Tübingen: G. Narr, 1997.

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20

Hazeu, Cornelius A. Systeem en gedrag in het wetenschappelijk onderzoek: Een model voor toedeling van taken en verantwooderlijkheden in een multi-niveau systeem, toegepast op het universitaire onderzoek. 's-Gravenhage: VUGA, 1989.

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21

Chen, Jiayu. Simulating Network Structure, Layering Multi-layer Network System and Developing Network Block Configuration Model to Understand and Improve Energy Conservation in Residential Buildings. [New York, N.Y.?]: [publisher not identified], 2012.

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22

Alekseev, Petr, Vladislav Antropov, Valeriy Barabanov, Mihail Bich, Mihail Zharikov, Lyubov' Krylova, Aleksey Kuznecov, et al. The multi-currency standard and the global financial market. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1871448.

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The monograph was prepared by a team of authors of the Financial University under the Government of the Russian Federation based on the results of research carried out at the expense of budgetary funds under the state assignment of the Financial University. The directions, forms and prospects of creating a multi-currency standard in the process of transformation of the world monetary and financial system are investigated. An integral model for assessing the sectoral development of the global financial market has been developed. The possibilities of adapting the Russian financial market to innovative digital technologies in the context of the formation of a new monetary and financial paradigm are considered. It is of interest to researchers, teachers, postgraduates, students specializing in the study of international economic relations, as well as to a wide range of readers interested in the problems of the development of the world monetary and financial system and the global financial market.
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23

Multi-parametric model-based control. Weinheim: Wiley-VCH, 2006.

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24

He, Shuping, and Xiaoli Luan. Multi-Model Jumping Systems: Robust Filtering and Fault Detection. Springer, 2022.

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25

He, Shuping, and Xiaoli Luan. Multi-Model Jumping Systems: Robust Filtering and Fault Detection. Springer Singapore Pte. Limited, 2021.

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26

Nguang, Sing Kiong, Alireza Nasiri, Jiwei Wen, and Dhafer J. Almakhles. Non-Monotonic Approach to Robust H8 Control of Multi-model Systems. Elsevier Science & Technology Books, 2019.

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27

Process Systems Engineering: Volume 2: Multi-Parametric Model-Based Control (Process Systems Engineering). Wiley-VCH, 2007.

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28

The multiple-function multi-input/multi-output digital controller system for the AFW wind-tunnel model. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1992.

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29

Nguang, Sing Kiong, Alireza Nasiri, Jiwei Wen, and Dhafer J. Almakhles. Non-Monotonic Approach to Robust H-Infinity Control of Multi-Model Systems. Elsevier Science & Technology, 2019.

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30

Georgiadis, Michael C., Vivek Dua, and Efstratios N. Pistikopoulos. Multi-Parametric Model-Based Control: Theory and Applications. Wiley & Sons, Limited, John, 2011.

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31

Georgiadis, Michael C., Vivek Dua, and Efstratios N. Pistikopoulos. Multi-Parametric Model-Based Control: Theory and Applications. Wiley & Sons, Incorporated, John, 2021.

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32

Non-Monotonic Approach to Robust H-infinity Control of Multi-model Systems. Elsevier, 2019. http://dx.doi.org/10.1016/c2017-0-02234-6.

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33

Su, Youfeng, Jie Huang, and He Cai. Cooperative Control of Multi-Agent Systems: Distributed-Observer and Internal-Model Approaches. Springer International Publishing AG, 2022.

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34

Zheng, Xu, Vijayan Sugumaran, and Huiyu Zhou. Application of Intelligent Systems in Multi-modal Information Analytics: Proceedings of the 2020 International Conference on Multi-model Information ... in Intelligent Systems and Computing ). Springer, 2020.

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35

Zheng, Xu, Vijayan Sugumaran, and Huiyu Zhou. Application of Intelligent Systems in Multi-modal Information Analytics: Proceedings of the 2020 International Conference on Multi-model Information ... in Intelligent Systems and Computing ). Springer, 2020.

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36

Zillich, June Lucas, Yadira Flores, Daniel Gulchak, and Angel Jannasch-Pennell. PBIS Tier 3 Manual: A Knowledge-Outcomes-Impact Model for Multi-Tiered Systems of Behavior Support. KOI Education, 2022.

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37

Zillich, June Lucas, Yadira Flores, Daniel Gulchak, and Angel Jannasch-Pennell. PBIS Tier 3 Manual: A Knowledge-Outcomes-Impact Model for Multi-Tiered Systems of Behaviour Support. KOI Education, 2022.

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38

Baral, Madhav P. Linking water quality and hydraulics in distribution systems through a transient one-dimensional multi-component corrosion model. 2006.

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39

Flores, Yadira, Daniel Gulchak, Angel Jannasch-Pennell, and Ruth Reynoso. KOI PBIS Tier 1 Manual: A Knowledge-Outcomes-Impact Model for Multi-Tiered Systems of Behaviour Support. KOI Education, 2019.

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40

Fan, Ying, Jie Wu, Govinda Timilsina, and Yan Xia. Understanding the Interactions between Emissions Trading Systems and Renewable Energy Standards Using a Multi-Regional CGE Model of China. World Bank, Washington, DC, 2017. http://dx.doi.org/10.1596/1813-9450-8159.

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41

Cross Model Access in the Multi-Lingual, Multi-Model Database Management System. Storming Media, 1997.

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42

Ehresmann, Andrée. Applications of Categories to Biology and Cognition. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198748991.003.0015.

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Mathematical models used in biology are generally adapted from physics and relate to specific local processes. Category theory helps developing global dynamic models account for the main specificities of living systems: (i) The system is evolutionary, with a tangled hierarchy of interacting components, which change over time. (ii) It develops a robust and flexible memory up to the emergence of components and processes of increasing complexity. (iii) It has a multi-agent, multi-temporality, self-organization. This chapter presents such a model, the Memory Evolutive Systems, which in particular characterizes the property at the root of emergence and flexibility. A main application is the model MENS for a neurocognitive system which proposes a physically based “theory of mind”, up to the emergence of higher cognitive processes such as consciousness, anticipation, and creativity.
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43

Karoly, Paul. Chronic Pain and Psychopathology. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190627898.003.0010.

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This chapter presents a motivational model designed to forge conceptual and empirical links among chronic pain perception, cognitive-affective pain processing, everyday task performance, and the emergence of psychopathology. Organized around the GRASSP perspective (introduced in chapter 1), the current chapter first addresses the nature of multi-leveled (top-down and bottom-up) regulatory/control systems and the hypothesized motivational mechanisms around which such systems are organized. Based on the twin premises that (a) dysfunctions of the goal-guided, self-regulatory system underlie most forms of psychopathology, and (b) chronic pain can disrupt goal- and self-regulatory system functioning, the chapter seeks to locate chronic pain and two prominent forms of psychological disturbance—depression and anxiety—within a broad, heuristic “motivational context.” Among the key explanatory building blocks of the hypothesized model are goal episodes, extended goal striving processes, and four moderation pathways hypothesized to connect pain-related disruptions of self-regulation to the eventual emergence of depression and/or anxiety.
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44

A Multi-Objective Decision Support Model for the Turkish Armed Forces Personnel Assignment System. Storming Media, 2001.

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45

LAND.TECHNIK AgEng 2019. VDI Verlag, 2019. http://dx.doi.org/10.51202/9783181023617.

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Dieser VDI-Bericht ist ausschließlich als PDF-Dokument erschienen! Content half of it… Analysis of Drive Trains Model-Based Chiptuning Detection of Diesel Engines 1 M. Hinrichs, P. Pickel, John Deere GmbH, Kaiserslautern R. Isermann, Institute of Automatic Control, Darmstadt An Analysis of the Energy Consumption in the High-Pressure System of an Agricultural Tractor through Modeling and Experiment 9 X. Tian, A. Vacca, Purdue University, West Lafayette, IN, USA; S. Fiorati, F. Pintore, CNH Industrial S.p.A, Modena, Italy Multi-Domain Simulation for the Assessment of the NVH Behaviour of a Tractor with Hydrostatic-Mechanical Power Split Transmission 19 G. Pasch, G. Jacobs, G. Höpfner, J. Berroth, Institute for Machine Elements and Systems Engineering, RWTH Aachen University, Aachen Methods to evaluate steering performance of agricultural tractors 29 S. Liljenberg, M. Frederiksen, T. H. Langer, Danfoss Power Solutions, Nordborg, Denmark Tyres and Soil Soil pressure and pulling be...
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46

Song, Dong, and Theodore W. Berger. Hippocampal memory prosthesis. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0055.

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Damage to the hippocampus and surrounding regions of the medial temporal lobe can result in a permanent loss of the ability to form new long-term memories. Hippocampal memory prosthesis is designed to restore this ability. The animal model described here is the memory-dependent, delayed nonmatch-to-sample (DNMS) task in rats, and the core of the prosthesis is a biomimetic multi-input, multi-output (MIMO) nonlinear dynamical model that predicts hippocampal output (CA1) signals based on input (CA3) signals. When hippocampal CA1 function is pharmacologically blocked, successful DNMS behavior is abolished. However, when MIMO model predictions are used to re-instate CA1 memory-related activities with electrical stimulation, successful DNMS behavior and long-term memory function are restored. The hippocampal memory prosthesis has been successfully implemented in rodents and nonhuman primates, but the current system requires major advances before it can approach a working prosthesis. Looking forward, a deeper knowledge of neural coding will provide further insights.
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47

Allsen, Thomas T. Pre-modern Empires. Edited by Jerry H. Bentley. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199235810.013.0021.

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Empire is regularly defined as a political unit of large extent controlling a number of territories and peoples under a single sovereign authority. Of the three criteria, only one, sovereign authority, is quantified. In the early sixteenth century, maritime Europe, starting on its own path to empire, encountered large imperial regimes across the globe — the Ottoman, Safavid, Mughal, Ming, Aztec, and Inca — each of which had an identifiable genealogy and model. To a meaningful degree, global political history is simply the oscillation between universal empires and multi-state systems. In their expansive modes, empires destroyed and created states and were similarly productive in decline, devolving back into smaller polities, some entirely new and others merely refashioned. Standard imperial policies had profound cultural consequences. Population transfers, garrisons, and colonies produced close encounters, while secure lines of communications and interest in things foreign produced long-distance exchange.
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48

Horing, Norman J. Morgenstern. Interacting Electron–Hole–Phonon System. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198791942.003.0011.

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Chapter 11 employs variational differential techniques and the Schwinger Action Principle to derive coupled-field Green’s function equations for a multi-component system, modeled as an interacting electron-hole-phonon system. The coupled Fermion Green’s function equations involve five interactions (electron-electron, hole-hole, electron-hole, electron-phonon, and hole-phonon). Starting with quantum Hamilton equations of motion for the various electron/hole creation/annihilation operators and their nonequilibrium average/expectation values, variational differentiation with respect to particle sources leads to a chain of coupled Green’s function equations involving differing species of Green’s functions. For example, the 1-electron Green’s function equation is coupled to the 2-electron Green’s function (as earlier), also to the 1-electron/1-hole Green’s function, and to the Green’s function for 1-electron propagation influenced by a nontrivial phonon field. Similar remarks apply to the 1-hole Green’s function equation, and all others. Higher order Green’s function equations are derived by further variational differentiation with respect to sources, yielding additional couplings. Chapter 11 also introduces the 1-phonon Green’s function, emphasizing the role of electron coupling in phonon propagation, leading to dynamic, nonlocal electron screening of the phonon spectrum and hybridization of the ion and electron plasmons, a Bohm-Staver phonon mode, and the Kohn anomaly. Furthermore, the single-electron Green’s function with only phonon coupling can be rewritten, as usual, coupled to the 2-electron Green’s function with an effective time-dependent electron-electron interaction potential mediated by the 1-phonon Green’s function, leading to the polaron as an electron propagating jointly with its induced lattice polarization. An alternative formulation of the coupled Green’s function equations for the electron-hole-phonon model is applied in the development of a generalized shielded potential approximation, analysing its inverse dielectric screening response function and associated hybridized collective modes. A brief discussion of the (theoretical) origin of the exciton-plasmon interaction follows.
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49

Kortgen, Andreas, and Michael Bauer. Hepatic function in the critically ill. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0175.

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The liver with its parenchymal and non-parenchymal cells plays a key role in the organism with manifold functions of metabolism, synthesis, detoxification, excretion, and host response. This requires a portfolio of different tests to obtain an overview of hepatic function. In the critically ill hepatic dysfunction is common and potentially leading to extrahepatic organ dysfunctions culminating in multi-organ failure. Conventional laboratory measures are used to evaluate hepatocellular damage, cholestasis, or synthesis. They provide valuable (differential) diagnostic data and can yield prognostic information in chronic liver diseases, especially when used in scoring systems such as the ‘model for end-stage liver disease’. However, they have short-comings in the critically ill in assessing rapid changes in hepatic function and liver blood flow. In contrast, dynamic quantitative liver function tests measure current liver function with respect to the ability to eliminate and/or metabolize a specific substance. In addition, they are dependent on sinusoidal blood flow. Liver function tests have prognostic significance in the critically ill and may be used to guide therapy.
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50

Brooker, Paul, and Margaret Hayward. GM: Sloan’s My Years With General Motors. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198825395.003.0002.

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Sloan’s classic management-text memoir and more recent sources reveal his use of all six rational methods during his 1920s enhancement of General Motors. The key methods were, first, his emphasis on innovative adaptation, which restructured General Motors into multiple operating divisions; second, his emphasis on strategically calculated marketing, which pioneered annual model changes, automobile styling, and style-based advertising; third, his emphasizing of institutionalized deliberation through a multi-tiered committee system to enhance policy-making. CEO Sloan’s use of these rational methods resulted in General Motors becoming the world’s largest industrial corporation, with more than half a million employees, and having its methods copied by competitors. Finally, there is a description of the rivalry between his and Henry Ford’s corporations and approaches, resulting in Sloanism’s administrative rationality defeating Fordism’s focus on efficient production.
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