Interuniversity Research Center on Enterprise Networks Logistics and Transportation

Canada

Interuniversity Research Center on Enterprise Networks Logistics and Transportation

Canada
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Sohrabi H.,Interuniversity Research Center on Enterprise Networks Logistics and Transportation | Sohrabi H.,Laval University | Montreuil B.,Interuniversity Research Center on Enterprise Networks Logistics and Transportation | Montreuil B.,Applied Technology Internet | And 2 more authors.
ILS 2016 - 6th International Conference on Information Systems, Logistics and Supply Chain | Year: 2016

The current distribution systems are mainly dedicated to a single business that owns or contracts a number of distribution centers. The Physical Internet introduces hyperconnected distribution systems that are built upon the exploitation of open distribution centers. The openness here refers to using the distribution space and technologies of enterprises offering their services on the market. This paper aims to investigate the economic performance gain at the strategic level by exploiting the hyperconnected distribution system compared to dedicated system. To this end, the distribution-related economic activities of several business samples are modeled by designing their distribution network. Offering several market service scenarios, the distribution network of each business is created for each distribution system. The findings of our investigation demonstrate a highly significant financial gain by exploiting the hyperconnected distribution system, particularly in fast response time scenarios.


Jouida S.B.,University of Tunis | Krichen S.,University of Tunis | Klibi W.,Kedge Business School | Klibi W.,Interuniversity Research Center on Enterprise Networks Logistics and Transportation
ILS 2016 - 6th International Conference on Information Systems, Logistics and Supply Chain | Year: 2016

In this paper, we propose a collaborative game for the inventory-distribution problem with multiple distribution centers (DCs) and multiple customer zones. The problem consists in addressing a set of firms that are looking for profitability with a re-configuration for their inventory-distribution network, given a predefined customer base. Possible collaborations between DCs-owners, modeled as a coalition formation problem, can be beneficial in the sense that the sharing of their inventory storage space generates cost minimization regarding the stand- Alone situation. Given the substantial savings that can be realized thanks to such collaboration, the main interest of the potential collaborating DCs is to figure out how collaborating group should be formed and how stable alliances/coalitions should be generated. Based on game- Theory concepts, the coalition formation problem is set and a solution approach is proposed to, generate core-stable coalitions regarding all partner standpoints. The results obtained underline clearly the impact of this collaboration opportunities on the firms' performance in terms of distribution costs savings as well as revenues increase.


Fatnassi E.,University of Tunis | Klibi W.,Kedge Business School | Klibi W.,Interuniversity Research Center on Enterprise Networks Logistics and Transportation | Deschamps J.-C.,University of Bordeaux 1 | And 2 more authors.
ILS 2016 - 6th International Conference on Information Systems, Logistics and Supply Chain | Year: 2016

This work investigates the opportunity to exploit an on-demand goods transshipment service in urban areas. It relies on the usage of multi-modes transportation system which are partially or initially dedicated to mobility services. The innovative proposal is first characterized in link with the inter-connectivity needs and then its operability is modeled as a new transportation problem. In this case, we deal with a specific dynamic on-demand transshipment problem that is derived from the stacker crane problem with additional constraints on distance to travel and battery use. For this problem, we propose a dynamic matching strategy that solves efficiently the problem by managing the empty moves of the different type of vehicles traveling between different physical internet-enabled transit locations. An illustrative case is given to illustrate how the multi-modes transportation system could operate and to provide an initial evaluation of the economic and sustainability benefits of the approach in an urban context.


Carle M.-A.,Interuniversity Research Center on Enterprise Networks Logistics and Transportation | Carle M.-A.,Laval University | Martel A.,Interuniversity Research Center on Enterprise Networks Logistics and Transportation | Martel A.,Laval University | And 2 more authors.
International Journal of Production Economics | Year: 2012

This paper proposes an agent-based metaheuristic to solve large-scale multi-period supply chain network design problems. The generic design model formulated covers the entire supply chain, from vendor selection, to production-distribution sites configuration, transportation options and marketing policy choices. The model is based on the mapping of a conceptual supply chain activity graph on potential network locations. To solve this complex design problem, we propose Collaborative Agent Team (CAT), an efficient hybrid metaheuristic based on the concept of asynchronous agent teams (A-Teams). Computational results are presented and discussed for large-scale supply chain networks, and the results obtained with CAT are compared to those obtained with the latest version of CPLEX. © 2012 Elsevier B.V. All rights reserved.


Bajgiran O.S.,Concordia University at Montréal | Bajgiran O.S.,Interuniversity Research Center on Enterprise Networks Logistics and Transportation | Zanjani M.K.,Concordia University at Montréal | Zanjani M.K.,Interuniversity Research Center on Enterprise Networks Logistics and Transportation | And 2 more authors.
ILS 2016 - 6th International Conference on Information Systems, Logistics and Supply Chain | Year: 2016

We propose a mathematical approach based on a multi-stage stochastic mixed-integer programming for lumber supply chain tactical planning under demand and supply uncertainty. Due to its large size for real instances, we decouple it into two sub-models inspiring from the common practice in industry. Each sub-model is then solved by a Scenario Cluster Decomposition (SCD) method. In order to speed-up solving cluster subproblems, a Lagrangian-Relaxation based heuristic and a Variable Fixing algorithm are embedded into the SCD algorithm. Computational experiments on a real-size lumber supply chain clearly indicate the effectiveness of the proposed solution approaches in terms of CPU time and quality of solutions.


Amor S.B.,Interuniversity Research Center on Enterprise Networks Logistics and Transportation | Klibi W.,Kedge Business School | Rekik M.,Laval University
ILS 2016 - 6th International Conference on Information Systems, Logistics and Supply Chain | Year: 2016

We propose a service-oriented combinatorial auction mechanism in an uncertain context where a shipper needs to outsource its transport operations to external carriers. Uncertainty is on shipper demand, carrier capacity and carrier lead time. A two-stage stochastic formulation is proposed to model the winner determination problem. A Monte Carlo approach combined with the sample average approximation method is proposed to solve the problem. Our preliminary results prove the efficiency and the relevance of the proposed approach.


Gendreau M.,Interuniversity Research Center on Enterprise Networks Logistics and Transportation | Gendreau M.,Ecole Polytechnique de Montréal | Ghiani G.,Ecole Polytechnique de Montréal | Ghiani G.,University of Salento | Guerriero E.,University of Salento
Computers and Operations Research | Year: 2015

Abstract Time-dependent routing amounts to design "best" routes in a graph in which arc traversal times may vary over the planning horizon. In the last decade, a number of technological advances have stimulated an increased interest in this field. We survey the research in the area and present a comprehensive review of travel time modelling, applications and solution methods. In particular, we make a first classification in point-to-point and multiple-point problems. A second major classification is then performed with respect to the quality and evolution of information. Other criteria included: (i) node, arc or general routing; (ii) the possibility to choose the vehicle speed. © 2015 Published by Elsevier Ltd.


Arbia S.B.,University of Carthage | Arbia S.B.,Kedge Business School | Klibi W.,Kedge Business School | Klibi W.,Interuniversity Research Center on Enterprise Networks Logistics and Transportation | Hadj-Alouane A.B.,Tunis el Manar University
ILS 2016 - 6th International Conference on Information Systems, Logistics and Supply Chain | Year: 2016

This research investigates the strategic opportunities in resilience investments in order to enhance operations efficiency and responsiveness of production-distribution networks under uncertainty. A two-stage stochastic location- Allocation model with multiple products and capacitated production activities on alternative platforms is considered. In addition, a reengineering context is considered which adds the decisions of platforms upgrade on existing sites and their mission adaptation, to the classical decisions on sites location and platforms selection decisions. A scenariobased approach is employed to consider uncertainty into a set of plausible future scenarios considering potential demand surges and disrupted production-distribution capacities. Alternative mathematic constructs are proposed to include the concepts of chaining, and strategic production buffers with the aim to foster resiliency.


Jeihoonian M.,Concordia University at Montréal | Jeihoonian M.,Interuniversity Research Center on Enterprise Networks Logistics and Transportation | Zanjani M.K.,Concordia University at Montréal | Zanjani M.K.,Interuniversity Research Center on Enterprise Networks Logistics and Transportation | And 2 more authors.
ILS 2016 - 6th International Conference on Information Systems, Logistics and Supply Chain | Year: 2016

In this article, we presents a two-stage stochastic programming model for the problem of designing a closed-loop supply chain network which is applicable in the context of modular structured products. The model accounts for uncertainty in the quality status of the return stream, modeled as binary scenarios for each component in the reverse bill of material corresponding to such products. The stochastic model is solved by the aid of an accelerated L-shaped algorithm by considering a reduced set of scenarios.

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