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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...
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,...
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...
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...
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...
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...
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