IDEAS home Printed from https://ideas.repec.org/f/pmu417.html
   My authors  Follow this author

John Fraser Muth

Personal Details

This person is deceased (Date: 23 Oct 2005)
First Name:John
Middle Name:Fraser
Last Name:Muth
Suffix:
RePEc Short-ID:pmu417
http://en.wikipedia.org/wiki/John_Muth
Terminal Degree:1962 Department of Economics; Tepper School of Business Administration; Carnegie Mellon University (from RePEc Genealogy)

Research output

as
Jump to: Articles

Articles

  1. John F. Muth, 1986. "Search Theory and the Manufacturing Progress Function," Management Science, INFORMS, vol. 32(8), pages 948-962, August.
  2. John F. Muth, 1985. "Properties of Some Short-run Business Forecasts," Eastern Economic Journal, Eastern Economic Association, vol. 11(3), pages 200-210, Jul-Sep.
  3. Thomas J. Hindelang & John F. Muth, 1979. "A Dynamic Programming Algorithm for Decision CPM Networks," Operations Research, INFORMS, vol. 27(2), pages 225-241, April.
  4. John Muth, 1974. "A note on economic policy, forecasting and flexibility," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 110(1), pages 173-175, March.
  5. Charles C. Holt & Franco Modigliani & John F. Muth, 1956. "Derivation of a Linear Decision Rule for Production and Employment," Management Science, INFORMS, vol. 2(2), pages 159-177, January.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Wikipedia mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Author Profile
    1. جان میوت in Wikipedia (Persian)

Articles

  1. John F. Muth, 1986. "Search Theory and the Manufacturing Progress Function," Management Science, INFORMS, vol. 32(8), pages 948-962, August.

    Cited by:

    1. Peter Thompson, 2007. "How Much Did the Liberty Shipbuilders Forget?," Management Science, INFORMS, vol. 53(6), pages 908-918, June.
    2. Philip Auerswald & Stuart Kauffman & Jose Lobo & Karl Shell, 1998. "The Production Recipes Approach to Modeling Technological Innovation: An Application to Learning By Doing," Working Papers 98-11-100, Santa Fe Institute.
    3. Dosi, Giovanni & Nelson, Richard R., 2010. "Technical Change and Industrial Dynamics as Evolutionary Processes," Handbook of the Economics of Innovation, Elsevier.
    4. Michael A. Lapré & Amit Shankar Mukherjee & Luk N. Van Wassenhove, 2000. "Behind the Learning Curve: Linking Learning Activities to Waste Reduction," Management Science, INFORMS, vol. 46(5), pages 597-611, May.
    5. Natarajan Balasubramanian & Marvin Lieberman, 2006. "Industry Learning Environments and the Heterogeneity of Firm Performance," Working Papers 06-29, Center for Economic Studies, U.S. Census Bureau.
    6. Stuart Kauffman & Jose Lobo & William G. Macready, 1998. "Optimal Search on a Technology Landscape," Research in Economics 98-10-091e, Santa Fe Institute.
    7. Sampath Rajagopalan & Medini R. Singh & Thomas E. Morton, 1998. "Capacity Expansion and Replacement in Growing Markets with Uncertain Technological Breakthroughs," Management Science, INFORMS, vol. 44(1), pages 12-30, January.
    8. Eelke Wiersma, 2007. "Conditions That Shape the Learning Curve: Factors That Increase the Ability and Opportunity to Learn," Management Science, INFORMS, vol. 53(12), pages 1903-1915, December.
    9. Thompson, Peter, 2010. "Learning by Doing," Handbook of the Economics of Innovation, Elsevier.
    10. Guido Fioretti, 2002. "A Cognitive Model of the Learning Curve," Industrial Organization 0207010, EconWPA.
    11. Mazzola, Joseph B. & Neebe, Alan W. & Rump, Christopher M., 1998. "Multiproduct production planning in the presence of work-force learning," European Journal of Operational Research, Elsevier, vol. 106(2-3), pages 336-356, April.
    12. Clas-Otto Wene, 2016. "Future energy system development depends on past learning opportunities," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 5(1), pages 16-32, January.
    13. Carlos Ocaña Pérez de Tudela, 1993. "Modelos dinámicos de competencia estratégica y cambio técnico: una panorámica," Investigaciones Economicas, Fundación SEPI, vol. 17(1), pages 43-63, January.
    14. Demeester, Lieven L. & Qi, Mei, 2005. "Managing learning resources for consecutive product generations," International Journal of Production Economics, Elsevier, vol. 95(2), pages 265-283, February.
    15. Carlos Ocana & Eitan Zemel, 1990. "Learning from Mistakes: A Note on Just-in-Time Systems," Discussion Papers 874, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    16. Fioretti, Guido, 2007. "The organizational learning curve," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1375-1384, March.
    17. Kauffman, Stuart & Lobo, Jose & Macready, William G., 2000. "Optimal search on a technology landscape," Journal of Economic Behavior & Organization, Elsevier, vol. 43(2), pages 141-166, October.
    18. Wang, F. -K. & Lee, W., 2001. "Learning curve analysis in total productive maintenance," Omega, Elsevier, vol. 29(6), pages 491-499, December.
    19. Lewellyn, Krista B. & Bao, Shuji ‘Rosey’, 2015. "R&D Investment in the Global Paper Products Industry: A Behavioral Theory of the Firm and National Culture Perspective," Journal of International Management, Elsevier, vol. 21(1), pages 1-17.
    20. Jerker Denrell, 2004. "Random Walks and Sustained Competitive Advantage," Management Science, INFORMS, vol. 50(7), pages 922-934, July.
    21. Daniel Johnson, 2002. ""Learning-by-Licensing": R&D and Technology Licensing in Brazilian Invention," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 11(3), pages 163-177.
    22. Vekstein, Daniel, 1998. "Managing Knowledge and Corporate Performance: an Empirical Analysis of the World Automobile Industry," Omega, Elsevier, vol. 26(5), pages 551-568, October.
    23. McNerney, James & Doyne Farmer, J. & Trancik, Jessika E., 2011. "Historical costs of coal-fired electricity and implications for the future," Energy Policy, Elsevier, vol. 39(6), pages 3042-3054, June.
    24. Kobos, Peter H. & Erickson, Jon D. & Drennen, Thomas E., 2006. "Technological learning and renewable energy costs: implications for US renewable energy policy," Energy Policy, Elsevier, vol. 34(13), pages 1645-1658, September.
    25. Sáenz-Royo, Carlos & Salas-Fumás, Vicente, 2013. "Learning to learn and productivity growth: Evidence from a new car-assembly plant," Omega, Elsevier, vol. 41(2), pages 336-344.
    26. Willard I. Zangwill & Paul B. Kantor, 1998. "Toward a Theory of Continuous Improvement and the Learning Curve," Management Science, INFORMS, vol. 44(7), pages 910-920, July.
    27. Schoots, K. & Kramer, G.J. & van der Zwaan, B.C.C., 2010. "Technology learning for fuel cells: An assessment of past and potential cost reductions," Energy Policy, Elsevier, vol. 38(6), pages 2887-2897, June.
    28. Grosfeld-Nir, Abraham & Sarne, David & Spiegler, Israel, 2009. "Modeling the search for the least costly opportunity," European Journal of Operational Research, Elsevier, vol. 197(2), pages 667-674, September.
    29. Vits, Jeroen & Gelders, Ludo, 2002. "Performance improvement theory," International Journal of Production Economics, Elsevier, vol. 77(3), pages 285-298, June.
    30. Rajiv D. Banker & Joy M. Field & Kingshuk K. Sinha, 2001. "Work-Team Implementation and Trajectories of Manufacturing Quality: A Longitudinal Field Study," Manufacturing & Service Operations Management, INFORMS, vol. 3(1), pages 25-42, November.
    31. Kim, Bowon, 1996. "Learning-induced control model to allocate managerial resources for production technology development," International Journal of Production Economics, Elsevier, vol. 43(2-3), pages 267-282, June.
    32. Philip Auerswald, 2010. "Entry and Schumpeterian profits," Journal of Evolutionary Economics, Springer, vol. 20(4), pages 553-582, August.
    33. Benson, Christopher L. & Magee, Christopher L., 2014. "On improvement rates for renewable energy technologies: Solar PV, wind turbines, capacitors, and batteries," Renewable Energy, Elsevier, vol. 68(C), pages 745-751.
    34. Heese, H. Sebastian, 2015. "Single versus multiple sourcing and the evolution of bargaining positions," Omega, Elsevier, vol. 54(C), pages 125-133.

  2. John F. Muth, 1985. "Properties of Some Short-run Business Forecasts," Eastern Economic Journal, Eastern Economic Association, vol. 11(3), pages 200-210, Jul-Sep.

    Cited by:

    1. Isiklar, Gultekin & Lahiri, Kajal, 2007. "How far ahead can we forecast? Evidence from cross-country surveys," International Journal of Forecasting, Elsevier, vol. 23(2), pages 167-187.
    2. Francis W. Ahking & Stephen M. Miller, 1988. "Models of Business Cycles: A Review Essay," Eastern Economic Journal, Eastern Economic Association, vol. 14(2), pages 197-202, Apr-Jun.
    3. Davies, Anthony & Lahiri, Kajal, 1995. "A new framework for analyzing survey forecasts using three-dimensional panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 205-227, July.
    4. Georges Prat & Remzi Uctum, 2016. "Do markets learn to rationally expect US interest rates? evidence from survey data," EconomiX Working Papers 2016-19, University of Paris Nanterre, EconomiX.

  3. Thomas J. Hindelang & John F. Muth, 1979. "A Dynamic Programming Algorithm for Decision CPM Networks," Operations Research, INFORMS, vol. 27(2), pages 225-241, April.

    Cited by:

    1. Helena Gaspars-Wieloch & Marcin Anholcer, 2011. "Efficiency analysis of the Kaufmann and Dezbazeille algorithm for the deadline problem," Operations Research and Decisions, Wroclaw University of Technology, Institute of Organization and Management, vol. 1, pages 5-18.
    2. Helena Gaspars, 2006. "A conception of a new algorithm for the project time-cost analysis," Operations Research and Decisions, Wroclaw University of Technology, Institute of Organization and Management, vol. 3, pages 5-27.
    3. R L Bregman, 2009. "Preemptive expediting to improve project due date performance," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 120-129, January.
    4. Akkan, Can & Drexl, Andreas & Kimms, Alf, 2000. "Network decomposition-based lower and upper bounds for the discrete time-cost tradeoff problem," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 527, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    5. Siqian Shen & J. Cole Smith & Shabbir Ahmed, 2010. "Expectation and Chance-Constrained Models and Algorithms for Insuring Critical Paths," Management Science, INFORMS, vol. 56(10), pages 1794-1814, October.

  4. Charles C. Holt & Franco Modigliani & John F. Muth, 1956. "Derivation of a Linear Decision Rule for Production and Employment," Management Science, INFORMS, vol. 2(2), pages 159-177, January.

    Cited by:

    1. Chen, Yao & Djamasbi, Soussan & Du, Juan & Lim, Sungmook, 2013. "Integer-valued DEA super-efficiency based on directional distance function with an application of evaluating mood and its impact on performance," International Journal of Production Economics, Elsevier, vol. 146(2), pages 550-556.
    2. Marvin D. Troutt & Wan-Kai Pang & Shui-Hung Hou, 2006. "Behavioral Estimation of Mathematical Programming Objective Function Coefficients," Management Science, INFORMS, vol. 52(3), pages 422-434, March.
    3. Gomes da Silva, Carlos & Figueira, José & Lisboa, João & Barman, Samir, 2006. "An interactive decision support system for an aggregate production planning model based on multiple criteria mixed integer linear programming," Omega, Elsevier, vol. 34(2), pages 167-177, April.
    4. Pedro Garcia Duarte, 2005. "A FEASIBLE AND OBJECTIVE CONCEPT OF OPTIMALITY: THE QUADRATIC LOSS FUNCTION AND U. S. MONETARY POLICY IN THE 1960's," Anais do XXXIII Encontro Nacional de Economia [Proceedings of the 33rd Brazilian Economics Meeting] 016, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    5. Elizabeth Chase MacRae, 1972. "Linear Decision with Experimentation," NBER Chapters,in: Annals of Economic and Social Measurement, Volume 1, number 4, pages 437-447 National Bureau of Economic Research, Inc.
    6. Krishna Kumar, C. & Sinha, Bani K., 1999. "Efficiency based production planning and control models," European Journal of Operational Research, Elsevier, vol. 117(3), pages 450-469, September.
    7. White, Sheneeta W. & Badinelli, Ralph D., 2012. "A model for efficiency-based resource integration in services," European Journal of Operational Research, Elsevier, vol. 217(2), pages 439-447.
    8. Körpeoglu, Ersin & Yaman, Hande & Selim Aktürk, M., 2011. "A multi-stage stochastic programming approach in master production scheduling," European Journal of Operational Research, Elsevier, vol. 213(1), pages 166-179, August.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

Featured entries

This author is featured on the following reading lists, publication compilations or Wikipedia entries:
  1. جان میوت in Wikipedia (Persian)

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, John Fraser Muth should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.