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The resource transfer problem (RTP) is a generic framework for integrated scheduling and routing problems, which allows for modeling and solving complex scheduling and rich vehicle routing problems as well as their hybrids in a unified way. Many constraints and specific requirements arising in scheduling and routing applications are covered by the RTP. Basically, the problem consists in scheduling...
Taxi sharing services have been increasing in the past few years in several countries. In this paper we propose a solution to taxi sharing problem based on Vehicle Routing Problem (VRP) with Temporal Restriction. We approach the problem in a static way, for testing purposes. Two metaheuristics were used to determine the best travel plans for taxi sharing service, taking into account the pickup and...
ITIL is a large collection of best practices, tools and methods used in the management and handling of IT services. It's composed of five books related to the most important IT management fields. In this paper, we will place the emphasis on the Service Operation field in ITIL and more precisely, on the incident management process used for managing the life cycle of IT incidents. The main idea is to...
In classical Vehicle Routing Problem, algorithms are developed based on travel distance or travel time estimated from an assumed constant travel speed. However, in city logistics, due to a growing amount of traffic and a limited capacity of the road network, travel speed between two locations no longer remains a constant but location and time dependent. In this paper, we propose a framework to visualize...
In this paper, an under development mixed-integer programming model is presented and used to solve the Production-Inventory-Distribution-Routing Problem (PIDRP), the main objective is to minimize the total cost of production, inventory, and transportation without violating the demand fulfillment policy. The proposed model deals with multiple products with different characteristics, split deliveries,...
The Cumulative Capacitated Vehicle Routing Problem with Time-Dependent Demand(CCVRP-TDD) is a novel problem in humanitarian logistics where the demand is dynamic and the objective is to minimize the sum of arrival times at critical nodes due to the emergency of the situation. Critical nodes are the nodes closest to the source, from which people try to flee to seek first aid, food, etc. This mobilization...
Inspired by successful cross-docking applications in the prevailing supply chain management (SCM) business such as Wal-Mart, Fed Ex, and Home Depot, we propose a new collaborative vehicle routing and scheduling model with cross-dock under uncertainty. Conventional cross-docking models treat the vehicle routing and docking scheduling components as independent sub problems, and intend to solve them...
Location and route planning are implemented independently in most distribution networks. In the majority of cases, low-quality solutions are obtained if sequential methods, e.g. Locate depots first and plan routes second, are used. In location-routing problems (LRPs), location and routing are solved simultaneously. The underlying basic problems are the well known facility location problem and the...
This article addresses a new routing problem encountered in the field of Home Health Care. Researches in this emerging area share the goal of establishing fine coordination to optimize the planning of human and material resources to provide support and quality monitoring while controlling costs. Home Health Care services allow keeping patients who are not entirely dependent at home, or to facilitate...
Cross-docking is a logistics approach where products from a supplier or manufacturer can be moved directly to customers or retailers without handling or storage time. In this paper, a distribution planning problem with the cross-docking centers is taken into account. A new two-stage mathematical model is formulated to minimize total costs in the multi-echelon network for the cross-docking center location...
Shipment planning (SP) at regional distribution center (RDC) involves order consolidation and vehicle routing decisions under uncertain demands, which is generally very hard to be solved by traditional analytical methods such as mathematical programs. To cope with the complexity of this important problem existing in logistics systems, a general-purpose simulation optimization framework is proposed...
When planning transport in the logistics industry, the main issue is to enhance efficiency and save total transportation costs. Using special systems and transport process will improve the value of services. Previous papers had focused on the external service network of trucks; only few discuss the internal network within one company. The inter-service area of cargo transportation and logistics industry...
Location-routing problem (LRP) is a combinational optimization problem in a logistics system. Most heuristic methods employed for LRP is dividing the problem into location assignment and vehicle routing with a two-phase method, but this method often does not lead to a satisfactory result for the information can not be compressed from one phase to the other efficiently. In this paper we are concerned...
Certain types of food such as catering foods decay very rapidly. This paper investigates how the quality of such foods can be improved by shortening the time interval between production and delivery. To this end, we develop an approach which integrates short-term production and distribution planning in a novel iterative scheme. The production scheduling problem is solved through an MILP modeling approach...
This paper considers the problem of planning the logistics of distributing medication to points of dispensing (PODs), which will give medication to the public. Previous work on a two-stage routing and scheduling approach showed that it can generate solutions with reasonable minimum slack. This paper presents a delivery volume improvement algorithm that can increase the minimum slack of a given solution.
Location-routing-inventory problem (LRIP) involves the decisions of three key problems in optimizing a logistics system, i.e. facility location-allocation, vehicle routing, and inventory control. In this paper, a model for the multi-period, multi-depot LRIP with stochastic customer demand in logistics distribution systems is developed. And a mixed genetic algorithm is proposed to solve the model....
The article presents an adaptive hybrid planning system or the interactive solution of multi-objective vehicle routing problems. A general framework was built, being able to handle various components of general vehicle routing problems, e.g. the simultaneous consideration of six optimization criteria. Solutions are constructed and improved in real time allowing the user to adapt his articulated preference...
The joined travelling of vehicles is an important instrument of cost reduction in the innovative RailCab concept. While the problem of joining groups of vehicles into convoys and determining convoy routes can be easily understood as optimization problem, the distributed nature and large number of vehicles and stops inhibits the direct application of operations research methods and problems. In this...
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