Nidhal Rezg, Zied Hajej, Valerio Boschian-Campaner's Production and Maintenance Optimization Problems: Logistic PDF

By Nidhal Rezg, Zied Hajej, Valerio Boschian-Campaner

This e-book makes a speciality of business constraints comparable to subcontracting, guaranty, and caliber in production and logistic fields and provides new built-in upkeep innovations. It provides new creation and upkeep regulate rules in comparison to the Hedging element concept technique and diverse built-in innovations of upkeep are built less than commercial constraints with a purpose to suggest a robustness creation and upkeep plan.

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New PDF release: Production and Maintenance Optimization Problems: Logistic

This booklet makes a speciality of commercial constraints comparable to subcontracting, guaranty, and caliber in production and logistic fields and provides new built-in upkeep thoughts. It offers new construction and upkeep keep an eye on rules in comparison to the Hedging aspect thought procedure and assorted built-in options of upkeep are built lower than business constraints so as to suggest a robustness construction and upkeep plan.

Additional info for Production and Maintenance Optimization Problems: Logistic Constraints and Leasing Warranty Services

Sample text

We adopt a maintenance policy based on block strategy and combine it with demand forecast. This maintenance policy ensures the reliability necessary for the main machine, which is directly impacted by the delivery deadline, as demonstrated previously. Its advantage is that it is easy to apply without disrupting the production plan. In this section, we optimize this proposed policy in order to determine the optimal period on the horizon, H, according to a cost minimization criterion. 1. Description of the problem Machine M is subject to random failures.

The last constraint defines an upper bound on the production level during each period, k. We therefore cannot exceed a given maximum production rate. 3. Analytical formulation In this section, we devise a deterministic formulation to make it easier to resolve our stochastic problem. 1. 3. 2. – It is assumed that the first and second statistical moments of the demand variable are known for each period k, that is, E {d ( k )} = dˆk and V d ( k ) = σ d2 for each k. The inventory variables Sk are statistically described ⎧ means, E {Sk } = Sˆk , as well as their variance, VSk = E ⎨ Sk − Sˆk ⎩ ( by their 2⎫ ⎬.

This maintenance policy ensures the reliability necessary for the main machine, which is directly impacted by the delivery deadline, as demonstrated previously. Its advantage is that it is easy to apply without disrupting the production plan. In this section, we optimize this proposed policy in order to determine the optimal period on the horizon, H, according to a cost minimization criterion. 1. Description of the problem Machine M is subject to random failures. Its probability of degradation is described by the probability density function of time to failure f(t), for which the failure rate λ(t) increases with both time and the production rate U1(t).

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