@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}
}
@article {5570174020110101,
	title = {Approximate performance analysis of CONWIP disciplines in unreliable non homogeneous transfer lines.},
	journal = {Annals of Operations Research},
	volume = {182},
	number = {1},
	year = {2011},
	pages = {213 - 233},
	abstract = {For a given choice of the maximum allowable total storage parameter, the performance of constant work-in-process (CONWIP) disciplines in unreliable transfer lines subjected to a constant rate of demand for parts, is characterized via a tractable approximate mathematical model. For a ( n?1) machines CONWIP loop, the model consists of n multi-state machine single buffer building blocks, separately solvable once a total of ( n?1) unknown constants shared by the building blocks are initialized. The multi-state machine is common to all building blocks, and its n discrete states approximate the joint operating state of the machines within the CONWIP loop; each of the first ( n?1) blocks maps into a single internal buffer dynamics, while the nth building block characterizes total work-in-process (wip) dynamics. The blocks correspond to linear n component state equations with boundary conditions. The unknown (shared) constants in the block dynamics are initialized and calculated by means of s},
	keywords = {Aggregation operators, CONWIP, Decomposition method (Mathematics), Decomposition/aggregation methods, Forward Kolmogorov equations, Mathematical models, Monte Carlo method, Operations research, Performance evaluation, Reliability (Engineering)},
	issn = {02545330},
	url = {http://search.ebscohost.com/login.aspx?direct=true\&db=iih\&AN=55701740\&site=ehost-live},
	author = {Mhada, Fatima and Malhame, Roland}
}
