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Published: 30 May 2022
Last updated: 31 May 2022

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1

Fichtinger, Johannes. The Single-Period Inventory Model with Spectral Risk Measures. Bern: Peter Lang International Academic Publishers, 2012.

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2

Army, United States, and Arroyo Center, eds. The readiness enhancement model: A personnel inventory projection model of the Army's reserve components. Santa Monica, CA: Rand, 1996.

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3

Marsden, Michael A. Sensitivity of the western root disease model: Inventory of root disease. Fort Collins, CO: USDA, Forest Service, Rocky Mountain Forest and Range Experiment Station, 1992.

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4

Graddy, Kathryn Jo. A dynamic model of price discrimination and inventory management at the Fulton fish market. Cambridge, MA: National Bureau of Economic Research, 2009.

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5

Killen, Kenneth H. Purchasing manager's guide to model letters, memos, and forms. Englewood Cliffs, N.J: Prentice Hall, 1991.

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6

Bacon, Robert W. Random demand and multistore shopping behaviour: A cost minimising model based on a two bin inventory management system. Oxford: Oxford University, Institute of Economics and Statistics, 1998.

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7

Cevelev, Aleksandr. Material management of railway transport. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1064961.

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In the monograph reviewed the development of the inventory management of railway transport in the new economic environment of market economy. According to the results of theoretical research, innovative and production potential of the supply system of railway transport the main directions and methods of transformation of the restructuring process under the corporate changes of JSC "RZD", positioned value system of the logistics of railway transportation, and developed a classification model used logistical resources. Evaluation of activity of structural divisions of Russian Railways supply is proposed to be viewed through an integrated and comprehensive approach to the development of systems of balanced indicators of supply and prompt handling of material resources, the implementation of which allows to distribute the strategic objectives of the company "Russian Railways" activities in the system of logistics of the Railways and also to involve in economic circulation of excessive and unused inventories of material and technical resources and efficiently reallocate them among enterprises at the site of the railway. Recommendations for the implementation of the developed algorithms and models are long term in nature and are based on the concept of logistics management and improve the business processes of the logistics system. Will be useful for managers and specialists of directorates of logistics of Russian Railways supply, undergraduates and graduate students interested in the economy of railway transport.
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8

University, Mzumbe, ed. Selecting inventory management and control models: A search for assumptions. [Mzumbe, Tanzania]: Mzumbe University, 2008.

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9

Schwaneke, Robert L. Essentiality weighting models for wholesale level inventory management. Monterey, Calif: Naval Postgraduate School, 1988.

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10

Tayur, Sridhar, Ram Ganeshan, and Michael Magazine. Quantitative models for supply chain management. New York: Springer Science, 1999.

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11

Production and inventory management with substitutions. Berlin: Springer, 2010.

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12

Lang, J. Christian. Production and inventory management with substitutions. Berlin: Springer, 2010.

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13

Production-inventory control models: Approximations and algorithms. Amsterdam, The Netherlands: Centre for Mathematics and Computer Science, 1987.

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14

Production-inventory control models: Approximations and algorithms. Amsterdam: Centrum voor Wiskunde en Informatica, 1987.

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15

Altay, Nezih, and L. A. Litteral. Service parts management: Demand forecasting and inventory control. London: Springer-Verlag, 2011.

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16

Parts management models and applications: A supply chain system integration perspective. New York: Springer, 2005.

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17

Zheng, Yu-Sheng. A sensitivity analysis of stochastic inventory systems. Fontainebleau, France: INSEAD, 1992.

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18

service), SpringerLink (Online, ed. Periodic Review Inventory Systems: Performance Analysis and Optimization of Inventory Systems within Supply Chains. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

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19

Radionov, A. R. Upravlenie sbytovymi zapasami i oborotnymi sredstvami predprii︠a︡tii︠a︡ (praktika normirovanii︠a︡): Uchebnoe posobie. Moskva: Delo i servis, 1999.

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20

Lukáš, Ladislav. Pravděpodobnostní modely v managementu: Teorie zásob a statistický popis poptávky. Praha: Academia, 2012.

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21

Hodges, James S. Models and algorithms for repair parts investment and management. Santa Monica, CA: Rand, 1993.

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22

Cevelev, Aleksandr. The economy and material management on a railway transport. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1085329.

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In the textbook in an accessible form presented and discussed the development of the economy and the inventory management of railway transport in the new economic environment. For the first time in Russian literature, made a theoretical attempt at a comprehensive review of the effectiveness of, and satisfaction of needs in material resources structural divisions, subsidiaries and affiliates of JSC "RZD". According to the results of theoretical research, innovative and production potential of the supply system of railway transport the main directions and methods of transformation of the restructuring process under the corporate changes of JSC "RZD", positioned value system of logistics of rail transport, a comprehensive approach to the development of systems of balanced indicators of supply and prompt handling of material resources. Recommendations for the implementation of the developed algorithms and models are long term in nature and are based on the concept of logistics management improve business processes, system logistics. For students and teachers, workers of enterprises of railway transport, and others interested in questions of transport Economics.
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23

Altiok, Tayfur. Performance analysis of manufacturing systems. New York: Springer, 1997.

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24

Performance analysis of manufacturing systems. New York: Springer, 1996.

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25

Manzini, Riccardo. Warehousing in the global supply chain: Advanced models, tools and applications for storage systems. London: Springer, 2012.

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26

1938-, Proth Jean-Marie, and SpringerLink (Online service), eds. Supply Chain Engineering: Useful Methods and Techniques. London: Springer-Verlag London, 2010.

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27

Goetschalckx, Marc. Supply Chain Engineering. Boston, MA: Springer Science+Business Media, LLC, 2011.

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28

Branch, Ontario Ministry of Environment Approvals. Draft guideline for preparing a source inventory and dispersion modeling report: Guide for demonstrating compliance with: Section 5 of Regulation 346, General--Air Pollution R.R.O. 1990, made under the Environmental Protection Act. [Toronto]: Ministry of Environment, Approvals Branch, 1997.

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29

Ko, Kyung Yoon. Comparison of the METRIC and heuristic N.P.S. inventory model. 1985.

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30

Hayat, Ahmad. An inventory model for the Pakistan Naval Store Depot. 1985.

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31

Fichtinger, Johannes. Single-Period Inventory Model with Spectral Risk Measures. Lang GmbH, Internationaler Verlag der Wissenschaften, Peter, 2018.

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32

Fichtinger, Johannes. Single-Period Inventory Model with Spectral Risk Measures. Lang GmbH, Internationaler Verlag der Wissenschaften, Peter, 2011.

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33

Park, Taeyong. A relational database management system for a ROK Army Infantry Division with probabilistic inventory control model. 1987.

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34

Sensitivity of the western root disease model: Inventory of root disease. Fort Collins, CO: USDA, Forest Service, ROcky Mountain Forest and Range Experiment Station, 1992.

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35

Projecting Air Force Rated Officer Inventory Across the Total Force: Total Force Blue Line Model for Rated Officer Management. RAND Corporation, The, 2019.

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36

Terry, Tara, Jeremy Eckhause, Michael McGee, James Bigelow, and Paul Emslie. Projecting Air Force Rated Officer Inventory Across the Total Force: Total Force Blue Line Model for Rated Officer Management. RAND Corporation, 2019. http://dx.doi.org/10.7249/rr2796.

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37

Gružauskas, Valentas, and Aurelija Burinskienė. Determining the Trade-offs of Inventory Management Approaches in the Face of Covid-19. KTU leidykla „Technologija“, 2021. http://dx.doi.org/10.5755/e01.9786090217436.

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The COVID-19 pandemic has left a clear mark on virtually every area of human activity. Arguably, most prominent changes may be observed in the global supply chain where the delivery times have changed, and even minor outbreaks of the pandemic pose ever-increasing risks in logistics, supply, and infrastructure. The authors of the scientific study analyze supply chain management approaches and deal with the key aspects which are most suitable to tackle the COVID-19 crisis. This study identifies which area caused by the pandemic has been most problematic and proposes strategies and methods to help companies properly manage their stockpiles. Another important aspect of this scientific study is that the analysis of inventory management methods in a critical environment is performed by developing an agent-based model. Thus, the data from this study are completely new and allow a closer look and understanding of how the COVID-19 pandemic has affected the supply and stockpiling/storage issues. In this research, the authors focus on the supplier relationship and inventory level management. Here, they examine several different business scenarios, such as: central vs. distributed warehouses, local vs. global suppliers, etc. Due to the wide range of information, this book should attract not only those who are profoundly interested in the field but also inquisitive newcomers with an interest in the trade and product supply policy.
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38

Kumar, Sameer. Parts Management Models and Applications. Springer, 2008.

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39

Tempelmeier, Horst. Inventory Management in Supply Networks - Problems, Models, Solutions. Books-on-Demand, 2006.

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40

Tayur, Sridhar, Ram Ganeshan, and Michael Magazine. Quantitative Models for Supply Chain Management. Springer, 2011.

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41

Lang, J. Christian. Production and Inventory Management with Substitutions. Springer, 2010.

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42

Handbook of Newsvendor Problems International Series in Operations Research Management Science. Springer, 2012.

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43

Sridhar, Tayur, Ganeshan Ram, and Magazine Michael, eds. Quantitative models for supply chain management. Boston: Kluwer Academic Publishers, 1999.

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44

Altay, Nezih, and Lewis A. Litteral. Service Parts Management: Demand Forecasting and Inventory Control. Springer, 2014.

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45

Altay, Nezih, and Lewis A. Litteral. Service Parts Management: Demand Forecasting and Inventory Control. Springer, 2011.

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46

Kumar, Sameer. Parts Management Models and Applications: A Supply Chain System Integration Perspective. Springer, 2014.

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47

Kumar, Sameer. Parts Management Models and Applications: A Supply Chain System Integration Perspective. Springer, 2004.

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48

United States. General Accounting Office, ed. Financial management: Review of VA's actuarial model for veterans' compensation benefits : report to the Secretary of Veterans Affairs. Washington, D.C: The Office, 1999.

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49

Choi, Joongkyu. Stochastic production and inventory models with limited resources. 2001.

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50

Markovian Demand Inventory Models (International Series in Operations Research & Management Science). Springer, 2008.

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