@conference { ISI:000392439200048, title = {Multi period dynamic vehicles routing problem: literature review, modelization and resolution}, booktitle = {PROCEEDINGS OF THE 3RD IEEE INTERNATIONAL CONFERENCE ON LOGISTICS OPERATIONS MANAGEMENT (GOL{\textquoteright}16)}, year = {2016}, note = {3rd IEEE International Conference on Logistics Operations Management (GOL), Fes, MOROCCO, MAY 23-25, 2016}, publisher = {Sidi Mohammed Ben Abdellah Univ Fes, Fac Sci \& Technol; Mohammed V Univ Rabat, ENSIAS Sch; Univ Havre; IEEE}, organization = {Sidi Mohammed Ben Abdellah Univ Fes, Fac Sci \& Technol; Mohammed V Univ Rabat, ENSIAS Sch; Univ Havre; IEEE}, abstract = {Being member of the VRP family, the Dynamic VRP (DVRP) has been a topic of interest in the realm of research, especially in the last decade. The steps of resolution were based on various approaches, ranging from the exact meta-heuristic to customized methods. This paper presents a literature review of the DVRP by classifying relevant studies according to the adopted approach of resolution. The dynamic extension of a version already present in the literature of the turned VRP multi classical is described then. A mathematical modeling is proposed for this extension. For the resolution of our problem, we adopted an approach based on the system of the colony of ants.}, isbn = {978-1-4673-8571-8}, author = {Ouaddi, Khaoula and Benadada, Youssef and Mhada, Fatima-Zahra}, editor = {Alaoui, AE and Benadada, Y and Boukachour, J} } @conference { ISI:000360158500020, title = {A Hybrid Method for Solving Buffer Sizing and Inspection Stations Allocation}, booktitle = {ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: INNOVATIVE AND KNOWLEDGE-BASED PRODUCTION MANAGEMENT IN A GLOBAL-LOCAL WORLD, APMS 2014, PT III}, series = {IFIP Advances in Information and Communication Technology}, volume = {440}, year = {2014}, note = {IFIP WG 5.7 International Conference on Advances in Production Management Systems (APSM), Ajaccio, FRANCE, SEP 20-24, 2014}, pages = {156-166}, publisher = {IFIP WG 5 7 Advances Prod Management Syst; Res Federat Distributed Org Engn; CNRS Res Grp Modelling \& Anal Complex Syst; Res Inst Transports Energy \& Soc}, organization = {IFIP WG 5 7 Advances Prod Management Syst; Res Federat Distributed Org Engn; CNRS Res Grp Modelling \& Anal Complex Syst; Res Inst Transports Energy \& Soc}, abstract = {The buffer sizing problem in unreliable production lines is an important, indeed, complex combinatorial optimization problem with many industrial applications. These applications include quality, logistics and manufacturing production systems. In the formulation of the problem, the system consists of n machines, n fixed-size buffers and m inspection station in series. The objective is to minimize a combined storage and shortage costs, and also specifying the optimal location of inspection stations in the system. The present paper aims at optimizing a generalization of the model previously proposed in (Mhada et al., 2014) using a novel approach. In this approach, we combine Tabu Search (TS) and Genetic Algorithm (GA) to identify search regions with promising locations of inspection stations and an exact method to optimize the assignment of buffer sizes for each location. This approach provides a balance between diversification and intensification. Numerical results on test problems from previous research are reported. Using this approach, we can reduce the solution time by more than 97\% in some cases.}, isbn = {978-3-662-44732-1}, issn = {1868-4238}, author = {Ouzineb, Mohamed and Mhada, Fatima-Zahra and Pellerin, Robert and El Hallaoui, Issmail}, editor = {Grabot, B and Vallespir, B and Gomes, S and Bouras, A and Kiritsis, D} }