Smart logistics (schedule design, supply chains, logistics, manufacturing systems)

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Cahiers du GERAD

806 results — page 14 of 41

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Aircraft maintenance planning is of critical importance to the safe and efficient operations of an airline. It is common to solve the aircraft routing and ma...

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In 1971, Graham and Pollack established a relationship between the number of negative eigenvalues of the distance matrix and the addressing problem in data c...

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Variations and extensions of the basic vertex-colouring and edge-colouring models have been developed to deal with increasingly complex scheduling problems. ...

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We study the Capacity Constrained Lot Size Problem with Setup Times (CLST). Based on two strong reformulations of the problem, we present a transformed refor...

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In this article we introduce the Quadratic Capacitated Vehicle Routing Problem (QCVRP), a combinatorial optimization problem that arises in practical applica...

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This paper proposes a state-of-the-art branch-cut-and-price algorithm for the vehicle routing problem with stochastic demands (VRPSD). We adapt the model of ...

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In this paper we present a comparative study of several strategies that can be applied to achieve the so-called elementary lower bound in vehicle routing p...

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Onshore oil fields may contain hundreds of wells that use sophisticated and complex equipments. These equipments need maintenance regularly to keep the...

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In this paper we consider the vehicle routing problem with hard time windows and stochastic service times (VRPTW-ST); in this variant of the classic VRPTW ...

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This paper proposes models and algorithms for the pickup and delivery vehicle routing problem with time windows and last-in-fi rst-out (LIFO) loading constr...

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Variable neighborhood search (VNS) is a meta-heuristic for solving optimization problems, whose basic idea is a systematic change of neighborhood structure...

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The distance Laplacian of a connected graph G is defined by L = Diag(Tr) - D, where D is the distance matrix of G , and Diag(Tr) is the diagonal m...

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Dantzig-Wolfe reformulation solved by Column Generation is an approach to obtain improved bounds for Mixed Integer Programs. A downside of this approach is t...

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We consider the multicommodity network flow formulation of the Multiple Depot Vehicle Scheduling Problem (MDVSP) and investigate several strategies within a ...

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Column generation for solving linear programs with a huge number of variables alternates between solving a master problem and a pricing subproblem to add var...

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Scheduling often plays an important role in vehicle routing. This paper describes several applications in which the author has been involved in recent years...

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We introduce a Laplacian and a signless Laplacian for the distance matrix of a connected graph, called the <i>distance Laplacian</i> and <i>distance signless...

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In this paper we introduce the discrete time window assignment vehicle routing problem. This problem consists of assigning a single time window from a ...

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We derive conditions on the functions \(\varphi\), \(\rho\), \(v\) and \(w\) such that the 0-1 fractional programming problem`(\max\limits_{x\in {0...

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The purpose of this paper is to study the periodic arc routing problem when the arcs of a network behave as customers, and sufficient material is delivered s...

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