@article { ISI:000391831100003,
	title = {Multilevel hybrid method for optimal buffer sizing and inspection stations positioning},
	journal = {SPRINGERPLUS},
	volume = {5},
	year = {2016},
	month = {NOV 30},
	abstract = {Designing competitive manufacturing systems with high levels of productivity and quality at a reasonable cost is a complex task. Decision makers must face numerous decision variables which involve multiple and iterative analysis of the estimated cost, quality and productivity of each design alternative. This paper adresses this issue by providing a fast algorithm for solving the buffer sizing and inspection positioning problem of large production lines by combining heuristic and exact algorithms. We develop a multilevel hybrid search method combining a genetic algorithm and tabu search to identify promising locations for the inspection stations and an exact method that optimizes rapidly (in polynomial time) the buffers{\textquoteright} sizes for each location. Our method gives valuable insights into the problem, and its solution time is a small fraction of that required by the exact method on production lines with 10-30 machines.},
	issn = {2193-1801},
	doi = {10.1186/s40064-016-3756-2},
	author = {Mhada, Fatima Zahra and Ouzineb, Mohamed and Pellerin, Robert and El Hallaoui, Issmail}
}
@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}
}
@conference { ISI:000352386800113,
	title = {An exact method for solving the buffer sizing and inspection stations allocations problem},
	booktitle = {PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND SYSTEMS MANAGEMENT (IEEE-IESM 2013)},
	year = {2013},
	note = {5th International Conference on Industrial Engineering and Systems Management (IEEE IESM), Mohammadia Sch Engn, Rabat, MOROCCO, OCT 28-30, 2013},
	pages = {775-780},
	publisher = {IEEE; IEEE Morocco Sect; I4e2; Univ Valenciennes Hannaut Cambresis; Univ Mohammed V Agdal Rabat; CNRST; CISIT; ENIM; ESITH; GDR MACS; LAMIH CNRS; IFSTTAR; IRT RAILENIUM; TEMPO},
	organization = {IEEE; IEEE Morocco Sect; I4e2; Univ Valenciennes Hannaut Cambresis; Univ Mohammed V Agdal Rabat; CNRST; CISIT; ENIM; ESITH; GDR MACS; LAMIH CNRS; IFSTTAR; IRT RAILENIUM; TEMPO},
	abstract = {An unreliable single part type transfer line with fixed inter machine buffer sizes is considered. In general, imperfect machines operating with imperfect raw material, or partially processed raw material, will result in the production of a mix of conforming and non conforming parts. The problem of optimal joint assignment of buffer sizes and inspection station positions is here considered where we assume that defective parts are scrapped upon detection. The performance measure to be optimized is a combination of work in process storage and parts inspection costs, with an eye to determining the adequate number of inspection stations. We propose an exact method for solving this problem and large-scale numerical experiments are provided to demonstrate the efficiency of the proposed algorithm. Interesting properties of the problem are also denoted based on our empirical results.},
	isbn = {978-2-9600532-4-1},
	author = {Ouzineb, Mohammed and Mhada, Fatima and El Hallaoui, Issmail and Pellerin, Robert},
	editor = {Aboutajdine, D and Skalli, A and Benchekroun, B and Artiba, A}
}
@conference { ISI:000352386800106,
	title = {(Q, s) models for inventory policy with random component procurement lead times},
	booktitle = {PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND SYSTEMS MANAGEMENT (IEEE-IESM 2013)},
	year = {2013},
	note = {5th International Conference on Industrial Engineering and Systems Management (IEEE IESM), Mohammadia Sch Engn, Rabat, MOROCCO, OCT 28-30, 2013},
	pages = {718-726},
	publisher = {IEEE; IEEE Morocco Sect; I4e2; Univ Valenciennes Hannaut Cambresis; Univ Mohammed V Agdal Rabat; CNRST; CISIT; ENIM; ESITH; GDR MACS; LAMIH CNRS; IFSTTAR; IRT RAILENIUM; TEMPO},
	organization = {IEEE; IEEE Morocco Sect; I4e2; Univ Valenciennes Hannaut Cambresis; Univ Mohammed V Agdal Rabat; CNRST; CISIT; ENIM; ESITH; GDR MACS; LAMIH CNRS; IFSTTAR; IRT RAILENIUM; TEMPO},
	abstract = {This paper considers inventory models of (Q, s) type with Q the order-quantity and s the order point. In general, an optimal choice of control parameters (Q and s) will depend on the characteristics of replenishment lead time and the demand process, as well as holding and shortage costs. Although many studies have treated lead time as constant, focusing only on demand variability, a number of authors have shown that a stochastic lead time is an issue that can have significant impact on inventory models and systems. This paper addresses the model when supply is assumed to have an exponential lead time distribution, and the {\textquoteleft}{\textquoteleft}customer{{\textquoteright}{\textquoteright}} itself is an exponential unreliable manufacturing plant, aiming for a constant mean production rate; thus both supply and demand have random characteristics. Under a so-called averaging principle approximation, we derive closed form expressions of the quantities of interest and illustrate their application in the optimization of the Q and s parameters.},
	isbn = {978-2-9600532-4-1},
	author = {Mhada, Fatima and Malhame, Roland and Pellerin, Robert and Sadr, Javad and Gharbi, Ali},
	editor = {Aboutajdine, D and Skalli, A and Benchekroun, B and Artiba, A}
}
