Flexibility and Robustness in Scheduling - download pdf or read online

By Jean-Charles Billaut, Aziz Moukrim, Eric Sanlaville

Scheduling is a huge learn zone and scheduling difficulties come up from numerous software domain names (production structures, logistic, desktop technological know-how, etc.). fixing scheduling difficulties calls for instruments of combinatorial optimization, designated or approximated algorithms. Flexibility is on the frontier among predictive deterministic techniques and reactive or online methods. the aim of flexibleness is to supply a number of options tailored to the context of the appliance with a purpose to give you the perfect answer. This ebook makes a speciality of the combination of suppleness and robustness concerns within the learn of scheduling difficulties. After contemplating either flexibility and robustness, it then covers quite a few scheduling difficulties, handled with an emphasis on flexibility or robustness, or either.

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On the other hand, the machine qualification process is updated monthly, and must ensure that the chosen configuration fits the demand for the entire month. The configuration cannot be updated dynamically to fit the actual demand as qualification is a very time-consuming process (it requires the machines to be stopped in order to perform tests and setups). Thus, the machine configuration process aims at choosing a configuration that leads to the highest loading ratio for a large set of possible demands.

Scheduling: Theory, Algorithms, and Systems, Prentice Hall, Englewood Cliffs, 2nd edition, 2001. ”, Newsletter of the European Working group “Multicriteria Aid for Decisions”, vol. 3, no. 6, p. 1–6, 2002. , “On-line scheduling – a survey”, p. ) [FIA 98]. [SLO 00] S LOWINSKI R. , Scheduling Under Fuzzyness, Physica-Verlag, Heidelberg, 2000. , WAGELMANS A. , “On the calculation of the stability radius of an optimal or an approximate schedule”, Annals of Operational Research, vol. 83, p. 213–225, 1998.

This source may, for example, affect frailty points such as: processing times, due dates, process cost, failure probabilities, probability distributions chosen for modeling a random factor, discrimination thresholds, values given to the parameters playing a mostly technical role in a model or procedure, techniques used to adjust a model intended to represent complex phenomena, etc. , taken all at once); - by consecutive environmental steps if the decision is sequential. ). – Source S ·γ: eminently subjective character of different aspects (not dealing with sources S · α and S · β) dealing with feasibility, relative interest and process modes of the different potential actions, especially the fuzzy, unstable and possibly incoherent and/or incomplete character of value systems which are supposed to prevail in the decision aiding process.

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