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

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781 results — page 13 of 40

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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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Application of the dispersion models in order to address the cannibalization phenomenon within franchised chains is a new approach. In this work we have deve...

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Community detection in networks has been studied extensively in the last decade. Many criteria, expressing the quality of the partitions obtained, as well ...

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Reduced RLT constraints are a special class of Reformulation-Linearization Technique (RLT) constraints. They apply to nonconvex (both continuous and mixed-...

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Given a set of entities, cluster analysis aims at finding subsets, also called clusters or communities or modules, entities of which are homogeneous and well...

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The production routing problem (PRP) concerns the production and distribution of a single product from a production plant to multiple customers using capacit...

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