Université Laval
Faculty of Business Administration
Bernard Lamond

Bernard
Lamond

Full professor

Department of Operations and Decision Systems
FSA ULaval
Pavillon Palasis-Prince
Local 2511

Fields of Interest and Research

  • Stochastic models (including queueing and simulation)
  • Mathematical modelling and simulation
  • Optimization under uncertainty (including stochastic and robust optimization)
  • Decisions and risk analysis
  • Mathematical operations research

Education

  • Philosophiae Doctor in management sciences (Ph. D.), University of British Columbia
  • Master in Computer Science (M. Sc.), Université de Montréal
  • Bachelor in Physics (B. Sc.), Université de Montréal

Publications

Articles

  • Zéphyr, L., Lamond, B., Demeester, K., & Latraverse, M. (2025). Two simplex-based approximate stochastic dynamic programming schemes for a real hydropower management problem. Annals of Operations Research, 351(1), 333-364. DOI : 10.1007/s10479-025-06561-4
  • Kiemde, M. A., Lamond, B., & Lépine, J. (2024). Using multicriteria decision analysis to assess stakeholders motivation toward sustainable packaging in the fruit and vegetable value chains of rural Uganda. Journal of Comparative International Management, 27(2), 168-186. DOI : 10.55482/jcim.2024.34371
  • Zéphyr, L., Lamond, B., & Lang, P. (2024). Hybrid simplicial-randomized approximate stochastic dynamic programming for multireservoir optimization. Computational Management Science, 21(31). DOI : 10.1007/s10287-024-00517-y
  • Tapsoba, L. D. S., Kiemde, S. M. A., Lamond, B., & Lépine, J. (2022). On the potential of packaging for reducing fruit and vegetable losses in Sub-Saharan Africa. Foods, 11(7), 952. DOI : 10.3390/foods11070952
  • Lamond, B., & Zéphyr, L. (2021). Note on "Parameters estimators of irregular right-angled triangular distribution. Model Assisted Statistics and Applications, 16(4), 273-276. DOI : 10.3233/MAS-210541
  • Zéphyr, L., Lang, P., Lamond, B., & Côté, P. (2017). Approximate Stochastic Dynamic Programming for Hydroelectric Production Planning. European Journal of Operational Research, 262(2), 586-601. DOI : 10.1016/j.ejor.2017.03.050
  • Pornsing, C., Sodhi, M. S., & Lamond, B. (2016). Novel Self-Adaptive Particle Swarm Optimization Methods. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 20(9), 3579-3593. DOI : 10.1007/s00500-015-1716-3
  • Zéphyr, L., Lang, P., & Lamond, B. (2015). Controlled Approximation of the Value Function in Stochastic Dynamic Programming for Multi-Reservoir Systems. Computational Management Science, 12(4), 539-557. DOI : 10.1007/s10287-015-0242-1
  • Lamond, B., Sodhi, M. S., Noël, M., & Assani, O. A. (2014). Dynamic Speed Control of a Machine Tool With Stochastic Tool Life: Analysis and Simulation. Journal of Intelligent Manufacturing, 25(5), 1153-1166. DOI : 10.1007/s10845-013-0756-8
  • Zéphyr, L., Lang, P., & Lamond, B. (2014). Adaptive Monitoring of the Progressive Hedging Penalty for Reservoir Systems Management. Energy Systems, 5(2), 307-322. DOI : 10.1007/s12667-013-0110-4
  • Lai, V. S., Parcollet, M., & Lamond, B. (2014). The Valuation of Catastrophe Bonds With Exposure to Currency Exchange Risk. International Review of Financial Analysis, 33, 243-252. DOI : 10.1016/j.irfa.2014.02.014
  • Lamond, B., & Lang, P. (2012). Computing the Expected Value of a Concave, Piecewise Affine Bivariate Function for the Gamma Distribution. IMA Journal of Management Mathematics, 23(3), 209-225. DOI : 10.1093/imaman/dpr010
  • Noël, M., Lamond, B., & Sodhi, M. S. (2009). Simulation of Random Tool Lives in Metal Cutting on a Flexible Machine. International Journal of Production Economics, 47(7), 1835-1855. DOI : 10.1080/00207540701644169
  • Noël, M., Sodhi, M. S., & Lamond, B. (2007). Tool Planning for a Lights Out Machining System. Journal of Manufacturing Systems, 26, 161-166. DOI : 10.1016/j.jmsy.2007.10.004
  • Lamond, B., & Sodhi, M. S. (2006). Minimizing the Expected Processing Time on a Flexible Machine With Random Tool Lives. IIE Transactions, 38(1), 1-11. DOI : 10.1080/07408170500346360
  • Sodhi, M. S., Noël, M., & Lamond, B. (2006). Tool Condition Monitoring Using Machine Vision and Protocols for Sensor Sampling. Journal of Machine Engineering, 6(2), 84-97.
  • Lamond, B., & Boukhtouta, A. (2005). Neural Approximation for the Optimal Control of a Hydroplant With Random Inflows and Concave Revenues. Journal of Energy Engineering, 131(1), 72-95. DOI : 10.1061/(ASCE)0733-9402(2005)131:1(72)
  • Lamond, B. (2003). Les congrès SCRO-JOPT et FRANCORO 2001. INFOR: Information Systems and Operational Research, 41(1), 1-3.
  • Lamond, B. (2003). Stochastic Optimization of a Hydroelectric Reservoir Using Piecewise Polynomial Approximations. INFOR: Information Systems and Operational Research, 41(1), 51-69. DOI : 10.1080/03155986.2003.11732668
  • Xu, X. Z., Martel, J. M., & Lamond, B. (2001). A multiple criteria ranking procedure based on distance between partial preorders. European Journal of Operational Research, 133(1), 69-80. DOI : 10.1016/S0377-2217(00)00184-3
  • Sodhi, M. S., Lamond, B., Gautier, A., & Noel, M. (2001). Heuristics for determining economic processing rates in a flexible manufacturing system. European Journal of Operational Research, 129(1), 105-115. DOI : 10.1016/S0377-2217(99)00414-2
  • Gautier, A., Lamond, B., Pare, D., & Rouleau, F. (2000). The Quebec Ministry of Natural Resources uses linear programming to understand the wood-fiber market. Interfaces, 30(6), 32-48. DOI : 10.1287/inte.30.6.32.11625
  • Lamond, B., & Bachar, B. (1998). Une étude numérique de la discrétisation des apports aléatoires pour un réservoir non saisonnier. INFOR: Information Systems and Operational Research, 36(4), 247-260. https://www.tandfonline.com/doi/abs/10.1080/03155986.1998.11732362
  • Lamond, B., & Sodhi, M. S. (1997). Using tool life models to minimize processing time on a flexible machine. IIE Transactions, 29(7), 611-621. DOI : 10.1023/A:1018557615285
  • Lamond, B., & Lang, P. (1996). Lower bounding aggregation and direct computation for an infinite horizon one-reservoir model. European Journal of Operational Research, 95(2), 404-410. DOI : 10.1016/0377-2217(96)00262-7
  • Lamond, B., & Boukhtouta, A. (1996). Optimizing long-term hydro-power production using Markov decision processes. International Transactions in Operational Research, 3(3-4), 223-241. DOI : 10.1111/j.1475-3995.1996.tb00049.x
  • Drouin, N., Gautier, A., Lamond, B., & Lang, P. (1996). Piecewise affine approximations for the control of a one-reservoir hydroelectric system. European Journal of Operational Research, 89(1), 53-69. DOI : 10.1016/0377-2217(94)00221-5
  • Lamond, B., Monroe, S. L., & Sobel, M. J. (1995). A Reservoir Hydroelectric System - Exactly and Approximately Optimal Policies. European Journal of Operational Research, 81(3), 535-542. DOI : 10.1016/0377-2217(94)00006-X
  • Lamond, B., & Sobel , M. J. (1995). Exact and Approximate Solutions of Affine Reservoir Models. RAIRO - Operations Research, 43(5), 771-780. DOI : 10.1287/opre.43.5.771
  • Lamond, B. (1993). An Efficient Basis Update for Asymptotic Linear-Programming. Linear Algebra and its Applications, 184, 83-102. DOI : 10.1016/0024-3795(93)90372-U
  • Lamond, B. (1991). Optimal admission policies for a finite queue with bursty arrivals. Annals of Operations Research, 28, 243-260. DOI : 10.1007/BF02055584
  • Lamond, B. (1989). A Generalized Inverse Method for Asymptotic Linear-Programming. Mathematical Programming, 43(1), 71-86. DOI : 10.1007/BF01582279
  • Lamond, B., & Puterman, M. (1989). Generalized Inverses in Discrete-Time Markov Decision-Processes. SIAM Journal on Matrix Analysis & Applications, 10(1), 118-134. DOI : 10.1137/0610009
  • Lamond, B., & Vandijk, N. (1988). Simple Bounds for Finite Single-Server Exponential Tandem Queues. RAIRO - Operations Research, 36(3), 470-477. DOI : 10.1287/opre.36.3.470
  • Lamond, B. (1987). An efficient factorization for the group inverse. SIAM Journal on Algebraic and Discrete Methods, 8(4), 797-808. DOI : 10.1137/0608065
  • Lamond, B., & Stewart, N. F. (1981). Bregman's balancing method. Transportation Research Part B: Methodological, 15(4), 239-248. DOI : 10.1016/0191-2615(81)90010-2

Chapters in Collective Works

  • Zéphyr, L., Lang, P., Lamond, B., & Côté, P. (2016). Controlled Approximation of the Stochastic Dynamic Programming Value Function for Multi-Reservoir Systems. In Fonseca, R. J., Weber, G. W., & Telhada, J. (Eds.). Computational Management Science: State of the Art 2014 (pp. 31-37).
  • Lamond, B. (2007). A Dynamic Programming Model of a Machine Tool in Flexible Manufacturing. In C. H. Skiadas (Ed). Recent Advances in Stochastic Modelling and Data Analysis (pp. 398-405). World Scientific Publishing Co. Pte. Ltd..
  • Lamond, B., & Boukhtouta, A. (2002). Water Resevoir Applications of Markov Decision Processes. In E. Feinberg and A. Schwartz (Ed). International Series in Operations Research & Management Science : Handbook of Markov Decision Processes (pp. 537-558). Springer.

Communications in a Conference with Proceedings

  • Zéphyr, L., & Lamond, B. (2022). Randomized Simplicial Approximate Stochastic Dynamic Programming for Mid-term Reservoir Optimization. 8th International Conference on Control, Decision and Information Technologies (CoDIT), Istanbul, Turkey.
  • Kiemde, M. A., Lépine, J., & Lamond, B. (2022). Cartographie des chaines de valeur des fruits et légumes et de leurs emballages en milieu rural Ougandais. Colloque "L’Afrique émergente | Les défis de l’après-COVID-19: leçons apprises et opportunités", FSA Ulaval, Canada.
  • Lang, P., Zéphyr, L., & Lamond, B. (2014). Computing the Expected Value Function for a Multi-Reservoir System with Highly Correlated Inflows. Proceedings of the 2014 Industrial and Systems Engineering Research Conference (ISERC 2014), Montréal, Canada.
  • Zéphyr, L., Lang, P., Lamond, B., & Côté, P. (2014). Controlled Approximation of the SDP Value Function for Multi-Reservoir Systems. Proceedings of the 11th International Conference on Computational Management Science (CMS 2014), Lisbon, Portugal.
  • Lamond, B., & Assani, O. A. (2012). Dynamic Speed Control of a Machine Tool With Stochastic Tool Life. Proceedings of the 14th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2012), Bucharest, Romania.
  • Lamond, B. (2011). Dynamic Stochastic Reservoir Models With Monotone Optimal Policies. Proceedings of the Conference on Probabilistic Methodologies in Water and Wastewater Engineering, Toronto, Canada.
  • Kreeft, D., Ruiz, A., & Lamond, B. (2010). Allowing User Interaction in Timetable Scheduling Software. Acte de la 5e Conférence francophone en gestion et ingénierie des systèmes hospitaliers (GISEH 2010), Clermont-Ferrand, France.
  • Lamond, B. (2010). Dynamic Speed Adjustment of a Machine Tool. Proceedings of the 5th International IEEE Conference on Intelligent Systems - University of Westminster, London, United Kingdom.
  • Koleva, E., Mladenov, G., Voutchkov, I., Velev, K., Lamond, B., & Petrova, D. (2009). Program Tool EBMR-MREDO for Robust Engineering Quality Optimization of EBMR of Titanium. Proceedings of the Elektrotechnica & Elektronica, Sofia, Bulgaria.
  • Noël, M., Sodhi, M. S., & Lamond, B. (2007). Tool Planning on a Lights Out Manufacturing System. Proceedings of the 2nd International Conference on Changeable, Agile, Reconfigurable and Virtual Production (CARV 2007), Toronto, Canada.
  • Lamond, B. (2007). A dynamic programming model of a machine tool in flexible manufacturing. Proceedings of the 2nd Conference on Applied Stochastic Models and Data Analysis (ASMDA 2007), Chania, Greece.
  • Lamond, B., & Lang, P. (2007). Stochastic Optimization of Multi-Reservoir Systems With Power Plants and Spillways. Proceedings of the Fourth International Conference on River Basin Management, Kos, Greece.
  • Paré, J. P., Lamond, B., & Klibi, W. (2004). Comparaison des méthodes de moyenne-variance et des moments partiels inférieurs en gestion de portefeuille avec asymétrie. Actes du Congrès 2004 de l'Association des sciences administratives du Canada - Association des sciences administratives du Canada (ASAC), Québec, Canada.
  • Boukhtouta, A., & Lamond, B. (2003). A Neuro-Dynamic Programming Approach for Stochastic Reservoir Management. Proceedings of the 2nd International Conference on Water Resources Management, Las Palmas, Spain.

Communications in a Conference Without Proceedings

  • Lamond, B. (2024). Social dimension of a circular economy. GPSS 2024 Workshop.
  • Lamond, B. (2024). Randomized simplicial approx. stochastic DP for midterm reservoir optimization. Cours MQT-6011, Séminaire Aide à la décision, Québec, Canada.
  • Lamond, B., Lépine, J., Tapsoba, L. D. S., & Kiemde, M. A. (2022). Food Sustainability II - On Reducing Food Waste During Transport in Developing Countries. GPSS 2022 (Global Product Systems Sustainability Workshop), University of Rhode Island, Kingston, United States of America.
  • Lamond, B. (2019). Événements SCRO, séances, etc. Assister à des présentations de collègues de département OSD. Congrès SCRO, Colloques en pédagogie et gestion des soins de santé, Saskatoon, Canada.
  • Lamond, B. (2018). Discussant, session on Value Systems. Global Product Sustainability Workshop, University of Rhode Island, Kingston, United States of America.
  • Lamond, B., & Lang, P. (2017). Numerical Assessment of an Adaptive Simplicial Approximation Method for Hydroelectric Planning. SIAM Conference on Optimization, Vancouver, Canada.
  • Lamond, B. (2016). Dynamic Stochastic Models with Monotone Optimal Policies for One, Two or Many Reservoirs. 2016 Optimization Days, Montréal, Canada.
  • Lamond, B. (2016). Modèles stochastiques dynamiques pour la gestion des barrages hydroélectriques. Québec, Canada.
  • Lamond, B., & Lang, P. (2015). A Controlled Approximation Scheme for Managing Hydroelectric Generation with Multiple Reservoirs. INFORMS Annual Meeting 2015, Philadelphia, United States of America.
  • Lang, P., Lamond, B., & Zéphyr, L. (2015). Approximate Stochastic Dynamic Programming for Hydroelectric Production Planning. CORS/INFORMS 2015 Joint International Meeting, Montréal, Canada.
  • Lamond, B. (2015). Contrôle automatisé d'une machine-outil avec aléas d'usure. Séminaire en logistique et analytique dans le cadre du cours GSO-6112, Québec, Canada.
  • Ben Salem, A., Hajji, A., Gharbi, A., & Lamond, B. (2014). Production Activities Control Integrating Environmental Aspects. Global Product Sustainability Workshop, West Greenwich, United States of America.
  • Lai, V. S., & Lamond, B. (2013). The Valuation of Catastrophe Bonds With Exposure to Currency Exchange Risk. American Risk and Insurance Association Annual Meeting, Washington, United States of America.
  • Zéphyr, L., Lang, P., & Lamond, B. (2013). Adaptive Monitoring of the Progressive Hedging Penalty Parameter in the Context of Reservoir Systems Management. 2013 Optimization Days, Montréal, Canada.
  • Lai, V. S., & Lamond, B. (2013). The Valuation of Catastrophe Bonds With Exposure to Currency Exchange Risk. 30th International French Finance Association Conference, Lyon, France.
  • Zéphyr, L., Lang, P., & Lamond, B. (2013). Méthode de programmation dynamique approximative pour la gestion des systèmes de réservoirs. Rio Tinto Alcan, Canada.
  • Zéphyr, L., Lang, P., & Lamond, B. (2012). Adaptive Monitoring of the Progressive Hedging Penalty Parameter in the Context of Reservoir Systems Management. Atelier en optimisation stochastique - Rio Tinto Alcan - Hydro Québec, Montréal, Canada.
  • Lamond, B., & Hajji, A. (2012). Impact of Environmental Policies on Production and Inventory Control Strategies in Unreliable Anufacturing Systems. Consumer Product Sustainability Workshop - University of Rhode Island, Kingston, United States of America.
  • Lai, V. S., & Lamond, B. (2012). The Valuation of Catastrophe Bonds With Exposure to Currency Exchange Risk. Asia-Pacific Association of Derivatives (APAD) Conference, Pusan, South Korea.
  • Lamond, B., & Lang, P. (2012). Computing Expected Water Value in Hydropower Systems Using a Bivariate Stochastic Model. 2e Colloque de la Chaire de recherche industrielle CRSNG / Hydro-Québec sur l'optimisation stochastique de la production d'électricité - École Polytechnique de Montréal, Montréal, Canada.
  • Lamond, B. (2012). Dynamic Models and Control Policies for Stochastic Control of a Machine Tool. 4th Meeting of the EURO Working Group on Stochastic Modeling (StochMod12), Paris, France.
  • Lamond, B. (2012). Hydro Planning by Stochastic Programming With Forward Scenario Aggregation. Reservoir System Modeling Technologies Conference - BPA Technology Innovation, Portland, United States of America.
  • Lamond, B. (2012). Stochastic Models for Hydro Planning: Using Dynamic Programming and Linear Programming. Generation Resource Management Seminar - BC Hydro, Burnaby, Canada.
  • Lamond, B. (2011). Probabilistic Models for Optimizing Product Sustainability. Workshop on Consumer Product Sustainability - University of Rhode Island, Kingston, United States of America.
  • Lamond, B. (2009). Computing static and dynamic operating policies for a machine tool with stochastic tool life. INFORMS Applied Probability Society Conference - Cornell University, Ithaca, United States of America.
  • Lamond, B. (2009). Some monotonicity results for stochastic hydropower optimization models with concave rewards. Systems Design Engineering Dept., University of Waterloo, Waterloo, Canada.
  • Lamond, B. (2008). Parametric optimization for dynamic control of a machine tool with stochastic tool life. International Workshop on Stochastic and Applied Global Optimization, Skukuza, South Africa.
  • Lamond, B. (2008). Some monotonicity results for stochastic hydropower optimization models with concave rewards. International Federation of Operational Research Societies Conference, Sandton, South Africa.
  • Lamond, B. (2008). Finding decision rules in stochastic optimization for dynamic control of a machine tool. International Conference on Probability and Statistics and Seminar of Statistical Data Analysis, Sozopol, Bulgaria.
  • Lamond, B. (2007). A dynamic stochastic model for optimal operation of an automated machine tool. Institute of Electronics - Bulgarian Academy of Sciences, Bulgarie, Bulgaria.
  • Lamond, B. (2007). Cutting speed adjustment and tool magazine capacity allocation using stochastic dynamic programming. INFORMS Applied Probability Society Conference, Eindhoven, Netherlands (The).
  • Lamond, B. (2007). A dynamic programming model of a machine tool in flexible manufacturing. 12th Conference on Applied Stochastic Models and Data Analysis (ASMDA 2007), Chania, Greece.
  • Lamond, B. (2007). Stochastic optimization of multi-reservoir systems with power plants and spillways. 4th International Conference on River Basin Management, Kos, Greece.
  • Lamond, B. (2007). Some monotonicity results for stochastic hydropower optimization models with concave rewards. Congrès annuel SCRO, London, Canada.
  • Lamond, B., & Lang, P. (2007). Stochastic optimization of multi-reservoir systems with power plants and spillways. RIVER BASIN MANAGEMENT 2007, Kos, Greece.
  • Lamond, B. (2006). Gestion d’un système manufacturier avec durée de vie aléatoire des outils. Conférence dans le cours MQT-60815 : séminaire sur l’aide à la décision, Québec, Canada.
  • Lamond, B. (2005). On the monotonicity of optimal expected processing time under random tool life. IFORS Triennal Conference, Honolulu, United States of America.
  • Lamond, B. (2005). Some Monotonicity Results for a Sequence of Delayed Renewal Processes. INFORMS Applied Probability Society Conference, Ottawa, Canada.
  • Lamond, B. (2005). Conditions pour la convexité des solutions optimales d’une suite de programmes non linéaires reliés à des processus de renouvellement retardés. Journées de l’optimisation, Montréal, Canada.
  • Lamond, B. (2004). Optimal machine-tool operation under stochastic tool wear. International Workshop on Operations Research under Uncertainty, Chengde, China (PRC).
  • Lamond, B. (2004). Comparison of the mean-variance and lower partial moment methods for portfolio management under asymmetry. INFOMS Applied Probability Society Conference, Beijing, China (PRC).
  • Lamond, B. (2004). Comparaison des méthodes de moyenne-variance et des moments partiels inférieurs en gestion de portefeuille avec asymétrie. Congrès annuel de l’Association des sciences administratives du Canada (ASAC), Québec, Canada.
  • Lamond, B. (2004). A neural approximation for optimal control of a hydroplant with random inflows and concave revenues. CORS/INFORMS Joint International Meeting, Banff, Canada.
  • Lamond, B. (2003). On the Discrete Convexity of a Sequence of Optimal Expected Processing Times in Flexible Manufacturing. CanQueue 2003 : 5th Annual Conference for Canadian Theorists and Practitioners, Toronto, Canada.
  • Lamond, B. (2003). Optimal makespan under stochastic tool life models in flexible manufacturing. Congrès annuel de la Société canadienne de recherche opérationnelle (SCRO), Vancouver, Canada.
  • Lamond, B. (2003). A neuro-dynamic programming approach for stochastic reservoir management. 2nd International Conference on Water Resources Management, Las Palmas de Gran Canaria, Spain.
  • Lamond, B. (2003). Quelques approximations et bornes en optimisation stochastique de la production hydroélectrique. Congrès annuel de la ROADEF, Avignon, France.
  • Lamond, B. (2003). Stochastic tool life models in flexible manufacturing. Séminaire du doctorat en génie industriel - ITESM (Tec de Monterrey), Toluca, Mexico.

Research Reports

  • Lamond, B. (2022). Rapport d’expertise sur la méthodologie du processus de simulation. 13 pages. Gouvernement du Québec, Min. Justice..
  • Beaudoin, D., & Lamond, B. (2010). Résultats de l'étude exploratoire de mise en place d'un outil statistique pour l'analyse d'une base de données spécifiques. Centre de services partagés du Québec, Direction de l’évaluation et de la mobilité.

Working Papers

  • Zéphyr, L., Lang, P., & Lamond, B. (2015). Approximate Stochastic Dynamic Programming for Hydroelectric Production Planning. Faculté des sciences de l'administration de l'Université Laval.
  • Zéphyr, L., Lang, P., Lamond, B., & Côté, P. (2014). Simplicial Approximation of the Value Function of Stochastic Dynamic Programming for Reservoir Systems. Faculté des sciences de l'administration de l'Université Laval.
  • Lang, P., Zéphyr, L., & Lamond, B. (2014). Computing the Expected Value Function for a Multi-Reservoir System With Highly Correlated Inflows. Faculté des sciences de l'administration de l'Université Laval.
  • Zéphyr, L., Lang, P., & Lamond, B. (2012). Monitoring of the Progressive Hedging Penalty Parameter in the Context of Reservoir Systems Management. Faculté des sciences de l'administration de l'Université Laval.
  • Zéphyr, L., Lang, P., & Lamond, B. (2012). Adaptive Monitoring of the Progressive Hedging Penalty Parameter in the Context of Reservoir Systems Management. Faculté des sciences de l'administration de l'Université Laval.
  • Lai, V. S., Parcollet, M., & Lamond, B. (2012). The Valuation of Catastrophe Bonds With Exposure to Currency Exchange Risk.
  • Lamond, B., & Sodhi, M. S. (2005). Managing Tool Magazine Capacity in Flexible Manufacturing Systems With Random Tool Life: Convexity of Optimal Expected Processing Time. Faculté des sciences de l'administration de l'Université Laval.

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