taicir loukil | FSEG Sfax (original) (raw)

Papers by taicir loukil

ABSTRACT The configuration of the reverse logistics network (RLN) is an important task in the det... more ABSTRACT The configuration of the reverse logistics network (RLN) is an important task in the determination of processing recovered products. In fact, products orientation in open loop network can influence the economic interest of decision maker. In open loop configuration, returned products are reintegrated in the supply chain with multiple recovery strategy to reuse the products or materials. The decision of valorization alternative becomes more and more complex due to the diversity of orientation, the state of returned products etc. In this paper, we develop a linear programming model to determine the product flow orientation with minimum economic value. A numerical study provides an optimal solution and detects the impact of parameters such as capacity of facility, volume and variety of type returned product on network configuration.

International Journal of Logistics Systems and Management, 2023

IFIP advances in information and communication technology, 2021

International Transactions in Operational Research, Oct 15, 2010

Supply chain forum, 2013

Due to rising consciousness in recent decades about environmental protection, many issues related... more Due to rising consciousness in recent decades about environmental protection, many issues related to green supply chain management have been discussed by businesses and governments at all levels. Different from traditional supply chain management, green supply chain management concerns itself with environmental impacts and material utilization issues, which make the selection of the supply chain actors a more complicated decision than usual. However, the procedure of selecting the supply chain actors is strongly guided by the product life cycle. This article emphasizes the importance of taking into account the product life cycle in a green supply chain design and suggests a way to do so.

Expert Systems With Applications, Apr 1, 2021

International journal of multicriteria decision making, 2012

ABSTRACT The aim of this paper is to develop a Goal Programming (GP) formulation within an imprec... more ABSTRACT The aim of this paper is to develop a Goal Programming (GP) formulation within an imprecise goals and inputs quality of product returns where the concept of satisfaction function will be utilized to introduce explicitly the manger's preferences into the remanufacturing aggregate planning model. In order to verify our proposed model, a numerical example is described to generate the best satisfying aggregate plan.

In general, the multi-mode resource-constrained project scheduling problem (MRCPSP) is considered... more In general, the multi-mode resource-constrained project scheduling problem (MRCPSP) is considered as mono-objective problem which aims at finishing the project as soon as possible under resource constraints. Nevertheless, the MRCPSP is multi-objective by nature and the omission of this aspect in its resolution may biases the reality; so we think extend the study of this problem to the bi-objective case. In our knowledge, we are the first to deal with the minimization of both makespan and non-renewable resource cost. The resolution of this Bi-objective MR-CPSP (BMRCPSP) gives more alternatives to the decision maker. In this work, we adapt the Non-dominated Sorting Genetic Algorithm-II technique (NSGA-II) to the BMRCPSP. Results obtained based on expensive experimentations, prove that the NSGA-II algorithm succeeds in solving a bi-objective combinatorial problem.

Multiple criteria decision making, 2009

Control and Cybernetics, 2000

Springer eBooks, 2015

ABSTRACT In this paper, a rail-road π-hub allocation problem is considered. A set of π-containers... more ABSTRACT In this paper, a rail-road π-hub allocation problem is considered. A set of π-containers must be transferred from wagons to outgoing π-trucks using the rail-road π-sorters. A simulated annealing metaheuristic is proposed and compared to an existing heuristic. The main performance objective is to minimize the distance covered by each container to arrive at dock destination. Different scenarios are constructed and tested to compare both methods.

Operational Research, Dec 9, 2014

2022 14th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA), May 25, 2022

HAL (Le Centre pour la Communication Scientifique Directe), 2008

In this paper, we consider the problem of scheduling n jobs in an m-machine permutation flowshop ... more In this paper, we consider the problem of scheduling n jobs in an m-machine permutation flowshop with time lags between consecutive operations of each job. The processing order of jobs is the same for each machine. The time lag is defined as the waiting time between consecutive operations. We use logic-based Benders decomposition to minimize the total number of tardy jobs with long time horizon defined on the last machine. We combine Mixed Integer Linear programming (MILP) to allocate jobs to time intervals of the time horizon and scheduled using Constraint Programming (CP). Then, computational results are reported.

In this paper a new road-rail terminal design called road-rail PI hub is adapted to the usual cha... more In this paper a new road-rail terminal design called road-rail PI hub is adapted to the usual challenges of the intermodal transport which are time and cost. This research aims to find the “best” allocation of containers in a rail-road PI hub where a set of containers must be transferred from railcars to outgoing trucks using the sorters. The main goal is to minimize the used number of trucks. To achieve this, heuristic approach in static and dynamic case is proposed. Then results are compared to the upper bound and the FIFO method. The experimental results show that the proposed heuristic gives better results compared to the solution generated by FIFO;