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

John Fraser Muth

(deceased)

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.

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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Wang, F. -K. & Lee, W., 2001. "Learning curve analysis in total productive maintenance," Omega, Elsevier, vol. 29(6), pages 491-499, December.
    7. 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.
    8. 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.
    9. Daniel Z. Levin, 2000. "Organizational Learning and the Transfer of Knowledge: An Investigation of Quality Improvement," Organization Science, INFORMS, vol. 11(6), pages 630-647, December.
    10. Philip Auerswald, 2010. "Entry and Schumpeterian profits," Journal of Evolutionary Economics, Springer, vol. 20(4), pages 553-582, August.
    11. 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.
    12. Dosi, Giovanni & Nelson, Richard R., 2010. "Technical Change and Industrial Dynamics as Evolutionary Processes," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 51-127, Elsevier.
    13. Fioretti, Guido, 2007. "The organizational learning curve," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1375-1384, March.
    14. Jerker Denrell, 2004. "Random Walks and Sustained Competitive Advantage," Management Science, INFORMS, vol. 50(7), pages 922-934, July.
    15. 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.
    16. 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.
    17. Christina Fang, 2012. "Organizational Learning as Credit Assignment: A Model and Two Experiments," Organization Science, INFORMS, vol. 23(6), pages 1717-1732, December.
    18. Peter Thompson, 2007. "How Much Did the Liberty Shipbuilders Forget?," Management Science, INFORMS, vol. 53(6), pages 908-918, June.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. Bernardo A. Huberman, 2001. "The Dynamics of Organizational Learning," Computational and Mathematical Organization Theory, Springer, vol. 7(2), pages 145-153, August.
    26. 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.
    27. 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.
    28. Heese, H. Sebastian, 2015. "Single versus multiple sourcing and the evolution of bargaining positions," Omega, Elsevier, vol. 54(C), pages 125-133.
    29. 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.
    30. Stuart Kauffman & Jose Lobo & William G. Macready, 1998. "Optimal Search on a Technology Landscape," Research in Economics 98-10-091e, Santa Fe Institute.
    31. Thompson, Peter, 2010. "Learning by Doing," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 429-476, Elsevier.
    32. Guido Fioretti, 2002. "A Cognitive Model of the Learning Curve," Industrial Organization 0207010, University Library of Munich, Germany.
    33. 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.
    34. 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.
    35. Clemens Werkmeister, 2003. "Lerneffekte in einer prozessorientierten Variantenkalkulation," Schmalenbach Journal of Business Research, Springer, vol. 55(4), pages 382-400, June.
    36. Banani Dhar & Thomas R. Gulledge, 1988. "Resource efficiency in aircraft production," Naval Research Logistics (NRL), John Wiley & Sons, vol. 35(3), pages 443-458, June.
    37. Vits, Jeroen & Gelders, Ludo, 2002. "Performance improvement theory," International Journal of Production Economics, Elsevier, vol. 77(3), pages 285-298, June.
    38. 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.

  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. Georges Prat & Remzi Uctum, 2016. "Do markets learn to rationally expect US interest rates? Evidence from survey data," Post-Print hal-01638220, HAL.
    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. Tian, Jing & Goodwin, Thomas, 2018. "An unobserved component modeling approach to evaluate multi-horizon forecasts," Working Papers 2018-04, University of Tasmania, Tasmanian School of Business and Economics.
    5. Kajal Lahiri & Gultekin Isiklar, 2006. "How Far Ahead Can We Forecast? Evidence From Cross-country Surveys," Discussion Papers 06-04, University at Albany, SUNY, Department of Economics.
    6. Georges Prat & Remzi Uctum, 2016. "Do markets learn to rationally expect US interest rates? Evidence from survey data," Working Papers hal-04141591, HAL.

  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. André Schnabel & Carolin Kellenbrink & Stefan Helber, 2018. "Profit-oriented scheduling of resource-constrained projects with flexible capacity constraints," Business Research, Springer;German Academic Association for Business Research, vol. 11(2), pages 329-356, September.
    2. Marcin Anholcer & Helena Gaspars-Wieloch, 2011. "Efficiency analysis of the Kaufmann and Dezbazeille algorithm for the deadline problem," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 21(1), pages 5-18.
    3. Vanhoucke, Mario, 2005. "New computational results for the discrete time/cost trade-off problem with time-switch constraints," European Journal of Operational Research, Elsevier, vol. 165(2), pages 359-374, September.
    4. Eleni Hadjiconstantinou & Evelina Klerides, 2010. "A new path-based cutting plane approach for the discrete time-cost tradeoff problem," Computational Management Science, Springer, vol. 7(3), pages 313-336, July.
    5. Doerner, Karl & Gutjahr, Walter J. & Kotsis, Gabriele & Polaschek, Martin & Strauss, Christine, 2006. "Enriched workflow modelling and Stochastic Branch-and-Bound," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1798-1817, December.
    6. De, Prabuddha & James Dunne, E. & Ghosh, Jay B. & Wells, Charles E., 1995. "The discrete time-cost tradeoff problem revisited," European Journal of Operational Research, Elsevier, vol. 81(2), pages 225-238, March.
    7. Doerner, K.F. & Gutjahr, W.J. & Hartl, R.F. & Strauss, C. & Stummer, C., 2008. "Nature-inspired metaheuristics for multiobjective activity crashing," Omega, Elsevier, vol. 36(6), pages 1019-1037, December.
    8. Hongbo Li & Zhe Xu & Wenchao Wei, 2018. "Bi-Objective Scheduling Optimization for Discrete Time/Cost Trade-Off in Projects," Sustainability, MDPI, vol. 10(8), pages 1-15, August.
    9. He, Zhengwen & Wang, Nengmin & Jia, Tao & Xu, Yu, 2009. "Simulated annealing and tabu search for multi-mode project payment scheduling," European Journal of Operational Research, Elsevier, vol. 198(3), pages 688-696, November.
    10. Helena Gaspars, 2006. "A conception of a new algorithm for the project time-cost analysis," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 16(3-4), pages 5-27.
    11. 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.
    12. Zafra-Cabeza, Ascensión & Ridao, Miguel A. & Camacho, Eduardo F., 2008. "Using a risk-based approach to project scheduling: A case illustration from semiconductor manufacturing," European Journal of Operational Research, Elsevier, vol. 190(3), pages 708-723, November.
    13. Brucker, Peter & Drexl, Andreas & Mohring, Rolf & Neumann, Klaus & Pesch, Erwin, 1999. "Resource-constrained project scheduling: Notation, classification, models, and methods," European Journal of Operational Research, Elsevier, vol. 112(1), pages 3-41, January.
    14. Bregman, Robert L., 2009. "A heuristic procedure for solving the dynamic probabilistic project expediting problem," European Journal of Operational Research, Elsevier, vol. 192(1), pages 125-137, January.
    15. Heng Kuang & S. Jack Hu & Jeonghan Ko, 2016. "A dynamic programming approach to integrated assembly planning and supplier assignment with lead time constraints," International Journal of Production Research, Taylor & Francis Journals, vol. 54(9), pages 2691-2708, May.
    16. Hajdu M. & Isaac S., 2016. "Sixty years of project planning: history and future," Organization, Technology and Management in Construction, Sciendo, vol. 8(1), pages 1499-1510, December.
    17. M. Vanhoucke, 2007. "An electromagnetic time/cost trade-off optimization in project scheduling," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 07/457, Ghent University, Faculty of Economics and Business Administration.
    18. Akkan, Can & Drexl, Andreas & Kimms, Alf, 2005. "Network decomposition-based benchmark results for the discrete time-cost tradeoff problem," European Journal of Operational Research, Elsevier, vol. 165(2), pages 339-358, September.
    19. 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.
    20. 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. Jean-Bernard, Chatelain & Kirsten, Ralf, 2020. "How Macroeconomists Lost Control of Stabilization Policy: Towards Dark Ages," MPRA Paper 103244, University Library of Munich, Germany.
    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. Gable, John L., 1963. "Rate Differentials: A Mathematical Model Recognizing Inventory Effects," Transportation Research Forum Proceedings 1960s 317922, Transportation Research Forum.
    4. Wallace J. Hopp & David Simchi-Levi, 2021. "Management Science : The Legacy of the Past and Challenge of the Future," Management Science, INFORMS, vol. 67(9), pages 5306-5316, September.
    5. 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].
    6. Saravanan Kesavan & Bradley R. Staats & Wendell Gilland, 2014. "Volume Flexibility in Services: The Costs and Benefits of Flexible Labor Resources," Management Science, INFORMS, vol. 60(8), pages 1884-1906, August.
    7. 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.
    8. Harvey M. Wagner, 2002. "And Then There Were None," Operations Research, INFORMS, vol. 50(1), pages 217-226, February.
    9. Sargent, Thomas J., 2024. "Critique and consequence," Journal of Monetary Economics, Elsevier, vol. 141(C), pages 2-13.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. Andrea Borenich & Peter Greistorfer & Marc Reimann, 2020. "Model-based production cost estimation to support bid processes: an automotive case study," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(3), pages 841-868, September.
    15. 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.
    16. Suresh P. Sethi & Sushil Gupta & Vipin K. Agrawal & Vijay K. Agrawal, 2022. "Nobel laureates’ contributions to and impacts on operations management," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4283-4303, December.
    17. Aleda M. Roth & Vinod R. Singhal, 2022. "Pioneering role of the Production and Operations Management in promoting empirical research in operations management," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4529-4543, December.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

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. RePEc uses bibliographic data supplied by the respective publishers.