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Robustness in Operations Research and Decision Aiding 47

3) Can set ˆT of pairs (P, V ) to consider be restrictive or not (for incompatibility, lack of interest or processing time reasons) to a subset of ˆP× ˆV ?

I think it would be useful at this stage to emphasize the fact that research that is too systematic for frailty points to be affected by vague approximations and/or zones of ignorance may lead to excessive proliferation of versions and/or procedures to consider. On the other hand, an insufficient critical attitude, ignoring the saying “a man who doesn’t know that he doesn’t know thinks he knows”, can lead to reducing this proliferation excessively. In other words, it is advisable to find a compromise in each situation between these two opposite tendencies taking into account expectations of those in whose name decision aiding is occurring.

48 Flexibility and Robustness in Scheduling

[ALO 01] ALOULOUM.A. and PORTMANNM.-C., “Définition d’ordonnancements flexibles.

Première application à un problème à une machine”, Conférence de Génie Industriel GI’2001, Aix-en-Provence, p. 1029–1038, 2001.

[ALO 07] ALOULOUM.A. and ARTIGUESC., “Flexible solutions in disjunctive scheduling:

general formulation and study of the flow-shop case”, p. 33–51, in ROY B., ALOULOU

M.A. and KALAÏ R. (Eds.), Robustness in OR-DA, Annales du LAMSADE no. 7, Université Paris-Dauphine, 2007.

[BAN 05] BANA E COSTA C., VANSNICK J.C. and DE CORTE J.M., “MACBETH”, in Figueira et al. [FIG 05a], 2005.

[BEU 01] BEUTHE M. and SCANNELLA G., “Comparative analysis of UTA multicriteria methods”, European Journal of Operational Research, vol. 130, no. 2, p. 246–262, 2001.

[DAM 02] DAMART S., MOUSSEAU V. and SOMMERLATT I., “Du mode d’implication d’acteurs multiples dans le cadre de l’utilisation d’un modèle d’affectation multicritère:

analyse au regard d’une application à la tarification des transports publics”, INFOR, vol. 40, no. 3, p. 199–222, 2002.

[DIA 02] DIAS L., MOUSSEAU V., FIGUEIRA J. and CLIMACO J.N., “An aggregation/

disaggregation approach to obtain robust conclusions with ELECTRE TRI”, European Journal of Operational Research, vol. 138, no. 2, p. 332–348, 2002.

[DIA 07] DIASL.C., “A note on the role of robustness analysis in decision-aiding processes”, p. 53–70, in ROY B., ALOULOU M.A. and KALAÏ R. (Eds.), Robustness in OR-DA, Annales du LAMSADE no. 7, Paris-Dauphine University, 2007.

[EHR 02] EHRGOTTM. and GANDIBLEUXX. (Eds.), Multiple Criteria Optimization. State of the Art Annotated Bibliographic Surveys, Kluwer Academic Publishers, Dordrecht, 2002.

[ESC 94] ESCUDERO L.F., “Robust decision making as a decision making aid under uncertainty”, p. 126–138, in Rios [RIO 94].

[FIG 05a] FIGUEIRA J., GRECO S. and EHRGOTT M. (Eds.), Multiple Criteria Decision Analysis: The State of the Art Surveys, International Series in Operations Research and Management Sciences, Kluwer Academic Publishers, 2005.

[FIG 05b] FIGUEIRAJ., MOUSSEAUV. and ROYB., “ELECTRE methods”, in Figueira et al.

[FIG 05a].

[FIG 08] FIGUEIRA J., GRECO S. and SLOWINSKI R., “Building a set of additive value functions representing a reference preorder and intensties of preference: GRIP method”, European Journal of Operational Research, 2008.

[GRE 07] GRECOS., MOUSSEAUV. and SLOWINSKIR., “Robust multiple criteria ranking using a set of additive value functions”, p. 95–128, in ROYB., ALOULOUM.A. and KALAÏ

R. (Eds.), Robustness in OR-DA, Annales du LAMSADE no. 7, Paris-Dauphine University, 2007.

Robustness in Operations Research and Decision Aiding 49

[GRI 02] GRIGOURIDIS E. and SISKOS Y., “Preference disaggregation for measuring and analysing customer satisfaction: the MUSA method”, European Journal of Operational Research, vol. 143, no. 1, p. 148–170, 2002.

[GUP 72] GUPTAS.K. and ROSENHEADJ., “Robustness in sequential investment decisions”, Management Science, vol. 15, no. 2, p. 18–29, 1972.

[HIT 00] HITES R., The robust shortest path problem, PhD Thesis, Université Libre de Bruxelles, Brussels, Belgium, 2000.

[HIT 02] HITESR., The aggregation of preferences method for solving certain combinatorial problems with uncertainty, Report no. preprint, http://smg.ulb.ac.be, 2002.

[JEU 00] JEUNET J. and JONARDN., “Measuring the performance of lot-sizing techniques in uncertain environments”, International Journal of Production Economics, vol. 64, p. 197–208, 2000.

[KAL 07] KALAIR. and LAMBORAYC., “L’α-robustesse lexicographique : une relaxation de la β-robustesse”, p. 129–143, in ROY B., ALOULOU M.A. and KALAÏ R. (Eds.), Robustness in OR-DA Annales du LAMSADE no. 7, Paris-Dauphine University, 2007.

[KIM 98] KIM S.H., CHOI S.H. and AHN B.S., “Interactive group decision process with evolutionary database”, Decision Support System, vol. 23, p. 333–345, 1998.

[KOR 05] KORHONENP., “Interactive Methods”, in Figueira et al. [FIG 05a].

[KOU 97] KOUVELIS P. and YU G., Robust Discrete Optimization and its Applications, Kluwer Academic Publishers, Dordrecht, 1997.

[PER 03] PERNY P. and SPANJAARD O., “An axiomatic approach to robustness in search problems with multiple scenario”, Proceedings of the 19th Conference on Uncertainty in Artificial Intelligence, Acapulco, Mexico, p. 469–476, 2003.

[PIC 01] PICTET J. and BELTON V., “ACIDE: Analyse de la compensation et de l’incomparabilité dans la décision-Vers une prise en compte pratique dans MAVT”, EUR 19808 EN report, COLORNIA., PARUCCINIM. and ROYB. (Eds.), A-MCDA - Aide Multi Critère à la Décision (Multiple Criteria Decision Aiding), European Commission, Joint Research Center, p. 245–256, 2001.

[RIO 94] RIOS S. (Ed.), Decision Theory and Decision Analysis: Trends and Challenges, Kluwer Academic Publishers, 1994.

[ROS 01a] ROSENHEADJ., “Robustness analysis: keeping your options open”, p. 181–207, in Rosenhead and Mingers [ROS 01c].

[ROS 01b] ROSENHEADJ., “Robustness to the first degree”, p. 209–222, in Rosenhead and Mingers [ROS 01c], 2001.

[ROS 01c] ROSENHEADJ. and MINGERSJ. (Eds.), Rational Analysis for a Problematic World Revisited: Problem Structuring Methods for Complexity, Uncertainty and Conflicts, John Wiley & Sons, Chinchester, 2001.

50 Flexibility and Robustness in Scheduling

[ROU 96] ROUSSEAUA. and MARTELJ.-M., La décision participative: une démarche pour gérer efficacement les problèmes environnementaux, Report no. 96-24, Université Laval, Québec, Canada, 1996.

[ROY 89] ROYB., “Main sources of inaccurate determination, uncertainty and imprecision in decision models”, Mathematical and Computer Modelling, vol. 2, no. 10/11, p. 1245–1254, 1989.

[ROY 93] ROY B. and BOUYSSOU D., Aide multicritère à la décision: Méthodes et cas, Economica, Paris, 1993.

[ROY 96] ROY B., Multicriteria Methodology for Decision Aiding, Kluwer Academic Publishers, Dordrecht, 1996.

[ROY 97] ROY B., Une lacune en RO-AD: les conclusions robustes, Report no. 144, LAMSADE notebook, Paris-Dauphine University, 1997.

[ROY 98] ROYB., “A missing link in OR-DA, robustness analysis”, Foundations of Computer and Decision Sciences, vol. 23, no. 3, p. 141–160, 1998.

[ROY 02] ROYB., “Robustesse de quoi et vis-à-vis de quoi mais aussi robustesse pourquoi en aide à la décision ?”, Proceedings of the 56th Meeting of the European Working Group “Multiple Criteria Decision Aiding”, FIGUEIRAJ., HENGGELER-ANTUNESC. and CLÍMACOJ. (Eds.), Coimbra, Portugal, 2002.

[ROY 07] ROY B., La robustesse en recherche opérationnelle et aide à la décision : une préoccupation multi-facettes, in ROY B., ALOULOU M.A. and KALAÏ R. (Eds.), Robustness in OR-DA, Annales du LAMSADE no. 7, Paris-Dauphine University, 2007.

[SAA 05] SAATY T., “The analytic hierarchy and analytic network processes”, in Figueira et al. [FIG 05a].

[SAL 95] SALO A., “Interactive decision aiding for group decision support”, European Journal of Operational Research, vol. 84, p. 134–149, 1995.

[SAN 07] SANLAVILLE E., “Sensitivity and robustness analyses in scheduling: the two machine with communication case”, p. 253–268, in ROYB., ALOULOUM.A. and KALAÏ

R. (Eds.), Robustness in OR-DA, Annales du LAMSADE no. 7, Paris-Dauphine University, 2007.

[SEN 91] SENGUPTA J.K., “Robust decisions in economic models”, Computers and Operations Research, vol. 18, no. 2, p. 221–232, 1991.

[SEV 02] SEVAUX M. and SORENSEN K., “Genetic algorithm for robust schedules”, Proceedings of the 8th International Workshop on Project Management and Scheduling (PMS’2002), Valencia, Spain, p. 330–333, 2002.

Robustness in Operations Research and Decision Aiding 51

[SLO 03] SLOWINSKIR., GRECO S. and MOUSSEAU V., “Assessing a partial preorder of alternatives using ordinal regression and additive utility functions-A new UTA method”, 58th Meeting of the European Working Group “Multiple Criteria Decision Aiding”, Moscow, Russia, 2003.

[SOR 01] SORENSEN K., “Tabu searching for robust solutions”, Proceedings of the 4th Metaheuristics International Conference, Porto, Portugal, 2001.

[SOR 07] SORENSEN K. and SEVAUX M., “A practical approach for robust and flexible vehicle routing using metaheuristic and Monte Carlo sampling”, p. 269–285, in ROYB., ALOULOUM.A. and KALAÏR. (Eds.), Robustness in OR-DA, Annales du LAMSADE no. 7, Paris-Dauphine University, 2007.

[SPA 03] SPANJAARD O., Exploitation de préférences non-classiques dans les problèmes combinatoires: modèles et algorithmes pour les graphes, PhD Thesis, Paris-Dauphine University, 2003.

[VAL 99] VALLIN P., “Détermination d’une période économique robuste dans le cadre du modèle de Wilson”, RAIRO Recherche Opérationnelle, vol. 33, no. 1, p. 47–67, 1999.

[VIN 99a] VINCKE P., “Robust and neutral methods for aggregating preferences into an outranking relation”, European Journal of Operational Research, vol. 112, no. 2, p. 405–412, 1999.

[VIN 99b] VINCKE P., “Robust solutions and methods in decision-aid”, Journal of Multi-Criteria Decision Analysis, vol. 8, no. 8, p. 181–187, 1999.

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Chapter 3

The Robustness of Multi-Purpose Machines

Workshop Configuration

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