The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
To make the project more profitable, the actors that are the more adequate to perform the tasks have to be selected and decisions about how to deal with risks during the project have to be made. In this paper, the resource management is integrated into a project risk management approach. A decision support system is proposed to help the project manager decide which risk treatment strategy to develop...
Today, to deal with the rapidly evolving needs of the market and its increased competitiveness, more and more companies operating in the field of construction use the risk management approach to improve their project's control.
In air transport, the cost related to crew members presents one of the most important cost supported by airline companies. The objective of the crew scheduling problem is to determine a minimum-cost set of pairings so that every flight leg is assigned a qualified crew and every pairing satisfies the set of applicable work rules. In this paper, we propose a solution for the crew scheduling problem...
In the airline industry, the Aircraft Maintenance Routing (AMR) problem has been one of the great successes of operations research. The AMR problem is to determine a particular route for each aircraft to undergo different levels of maintenance checks. The objective is to minimize the total maintenance costs. In this study, our aim is to present a mathematical formulation for the AMR problem which...
Supply chains are networks of independent companies which produces the value for final customers. The goal of supply chain management is the coordination of these companies. This research addresses the problem of decentralized coordination in a supply chain with more than two partners. Using a heuristic search with local optimization we coordinate more than two partners of a supply chain. This approach...
In this paper, we propose a bi- objective Operating Theater scheduling subject to order and assignment constraints. The first objective is to minimize the total time operating theater opening or the makespan. The second is the maximum constraints satisfaction. The problem is a two stage hybrid flow shop with blocking. We compare the firefly algorithm, bats algorithm, particles swarm optimization and...
The main scope of this paper is to improve management policies for spare parts, within the context of centralized management and more particularly with regard to forecast methods. The specificity of low and erratic demand does not allow the use of conventional approaches of forecasting. Moreover, the associated performance measurements, based on purely statistical indicators, are not adapted to the...
The Quay Crane Scheduling Problem (QCSP) is one of the most important issues treated in container terminals because of its influence on the efficiency of port. The main goal behind this planning problem is to find the handling sequence of tasks at ship bays by a set of cranes assigned to a container vessel such that the time spent by vessels at berth is minimized. This study focused on optimizing...
In today's highly competitive environment, “Green Transportation” issues are gaining interest from theoretical, political and social perspectives. Freight road transport, that is one important aspect of environmentally responsible logistics, is discussed in depth. The activity of transport causes a high rate of negative effects on the environment, as pollutants emission (greenhouse gas).The immediate...
The Vehicle Routing Problem (VRP) is an important problem occurring in many logistics systems. The objective of VRP is to serve a set of customers at minimum cost, such that every node is visited by exactly one vehicle only once. In this paper, we consider the Dynamic Vehicle Routing Problem (DVRP) which new customer demands are received along the day. Hence, they must be serviced at their locations...
Clustering methods are one of the most important tools used in different areas by researchers. The self-organizing map network is one of the most popular neural networks which was designed for solving problems that involve tasks such as clustering, visualization, and abstraction. Specially, It provides a new strategy of clustering using a competition and co-operation principal. However, the optimal...
This paper aims to present a Stochastic Model Predictive Control to optimize the costs of shipping and storage in a supply chain. The goal is to minimize the objective function of the combined costs in a multi-stage and a multi-level supply chain responding to a stochastic multi-product demand. The simulation using Matlab provides a comparison between classical models and the proposed model, and shows...
Development of simulation models allows performance analysis of multi-echelon inventory networks, and this part of supply chain is not well-established research area. Moreover, by encapsulating all major characteristics of multi-echelon system, the simulation modeling does not allow only its study, but also it provides the means to achieve the desired system performance. This paper deals with a multi-echelon...
Challenges that hospitals are currently facing justify the focus on this research subject. The sector has to balance the seemingly incompatible demand of cost reduction and quality improvement. Despite hospital supply chains having a great impact on hospital budgets, still opportunities for optimization exist. The prerequisite for hospital supply chain improvement is measurement. Therefore the purpose...
This paper presents a two-phase method to solve a routing and scheduling problem that arises in public works. In this problem, the quantity of demands generally exceeds the capacity of a truck. As a result, demands have to be split into full truckloads, taking into account the various capacities in the heterogeneous fleet of vehicles that perform the transportation. Full truckload routes have to be...
This study investigates the general framework of the decisions in in-plant milk run systems, and also the other related decisions that affect or affected by milk run systems. Emphasis was placed on lean-oriented decisions and objectives. This was accomplished conceptually using extensive literature review. The study shows that there is a lack of studies regarding in-plant milk run system as a whole,...
The 2nd IEEE International Conference on Logistics Operations Management (GOL'14), jointly organized by the ENSIAS School from Mohammed VI-Souissi University (Morocco), University of Le Havre (France), and FST form Sidi Mohamed Ben Abdellah University (Morocco), was held in Rabat, Morocco, from June 5 to 7, 2014. The aim of the conference is together leading academic scientists, researchers and scholars...
This article describes an exact method based on a Branch & Cut algorithm for the multi-region vehicle routing problem in large quantities by a heterogeneous fleet of vehicles. Test results on different problem instances are presented after have been solved by CPLEX.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.