http://dspace.univ-djelfa.dz:8080/xmlui/handle/123456789/626 2026-04-09T17:43:39Z http://dspace.univ-djelfa.dz:8080/xmlui/handle/123456789/1459 Hybrid genetic algorithm for a problem lot Sizing with transport LAGGOUN, Assia; Kinza Nadia, MOUSS; DRISS, Imen Planning production problems have been the subject of many authors. We consider a lot of problem Sizing whith two levels. This paper presents a methodology to solve a problem of supply chain of type OWMR (One whare-house Multi Retailer) whith direct delivery. We assume that the demand is deterministic. The work presented is about a lot sizing problem. The objective is to optimize the total cost of the supply chain, consisting of a production cost, storage cost and transport cost. First the problem was solved by an exact method, which has shown its limits if the number of clients and periods increase. Also we proposed the use of genetic algorithms as a heuristic to solve this problem. The results are satisfactory. 2017-09-16T00:00:00Z http://dspace.univ-djelfa.dz:8080/xmlui/handle/123456789/634 Distillation Process Fault Detection by CUSUM Test Lakhdar, Aggoune; Yahya, Chetouani In this work, The CUSUM (Cumulative Sum) test is employed to determine the real operating conditions of nonlinear processes as a separation unit. To do this, the normal behavior of the system is first predicted by means of a Nonlinear Auto-Regressive Moving Average with eXogenous input (NARMAX) model and then the residual between the real and estimated output of system is evaluated at each time by taking new observations of the process output under consideration. Finally, the thresholds on the CUSUM test are derived such that when the updated residual exceeds the thresholds an alarm is triggered. 2017-09-16T00:00:00Z