Karim Tamssaouet

Tamssaouet, Karim & Dauzère-Pérès, Stéphane (2023)

A General Efficient Neighborhood Structure Framework for the Job-Shop and Flexible Job-Shop Scheduling Problems

European Journal of Operational Research Doi: 10.1016/j.ejor.2023.05.018

Tamssaouet, Karim; Dauzère-Pérès, Stéphane, Knopp, Sebastian, Bitar, Abdoul & Yugma, Claude (2022)

Multiobjective Optimization for Complex Flexible Job-Shop Scheduling Problems

European Journal of Operational Research, 296(1), s. 87- 100. Doi: 10.1016/j.ejor.2021.03.069

In this paper, we are concerned with the resolution of a multiobjective complex job-shop scheduling problem stemming from semiconductor manufacturing. To produce feasible and industrially meaningful schedules, this paper extends the recently proposed batch-oblivious approach by considering unavailability periods and minimum time lags and by simultaneously optimizing multiple criteria that are relevant in the industrial context. A novel criterion on the satisfaction of production targets decided at a higher level is also proposed. Because the solution approach must be embedded in a real-time application, decision makers must express their preferences before the optimization phase. In addition, a preference model is introduced where trade-off is only allowed between some criteria. Two a priori multiobjective extensions of Simulated Annealing are proposed, which differ in how the simultaneous use of a lexicographic order and weights is handled when evaluating the fitness. A known a posteriori approach of the literature is used as a benchmark. All the metaheuristics are embedded in a Greedy Randomized Adaptive Search Procedure. The different versions of the archived GRASP approach are compared using large industrial instances. The numerical results show that the proposed approach provides good solutions regarding the preferences. Finally, the comparison of the optimized schedules with the actual factory schedules shows the significant improvements that our approach can bring.

Le Quéré, Étienne; Dauzère-Pérès, Stéphane, Tamssaouet, Karim, Maufront, Cédric & Astie, Stéphane (2020)

Dynamic Sampling for Risk Minimization in Semiconductor Manufacturing

Winter simulation conference : proceedings Doi: 10.1109/WSC48552.2020.9384001

Tamssaouet, Karim; Dauzère-Pérès, Stéphane, Yugma, Claude, Knopp, Sebastian & Pinaton, Jacques (2018)

A Study on the Integration of Complex Machines in Complex Job Shop Scheduling

Winter simulation conference : proceedings

Tamssaouet, Karim; Dauzère-Pérès, Stéphane & Yugma, Claude (2018)

Metaheuristics for the job-shop scheduling problem with machine availability constraints

Computers & industrial engineering Doi: 10.1016/j.cie.2018.08.008

Tamssaouet, Karim & Dauzère-Pérès, Stéphane (2022)

Towards a General Local Search Framework for Job-shop Scheduling Problems

[Academic lecture]. NORS Annual Conference 2022.

Tamssaouet, Karim; Engebrethsen, Erna & Dauzère-Pérès, Stéphane (2022)

Multi-item dynamic lot sizing with multiple transportation modes and item fragmentation

[Academic lecture]. International Workshop on Lot Sizing (IWLS 2022).

Flygansvær, Bente Merete; Laari, Sini, Mikkelsen, Ole Stegmann, Tamssaouet, Karim, Gillström, Henrik & Stefánsson, Gunnar (2021)

Book of Abstracts - The 33rd Annual NOFOMA Conference

[Report]. Nordic Logistics Research Network.

Tamssaouet, Karim; Dauzère-Pérès, Stéphane & Yugma, Claude (2018)

Minimizing makespan on parallel batch processing machines

[Academic lecture]. International Conference on Project Management and Scheduling.

Tamssaouet, Karim; Dauzère-Pérès, Stéphane, Yugma, Claude & Pinaton, Jacques (2017)

A Batch-oblivious Approach For Scheduling Complex Job-Shops with Batching Machines: From Non-delay to Active Scheduling

[Academic lecture]. Multidisciplinary International Conference on Scheduling: Theory and Applications.