Unified heuristics to solve routing problem of reverse logistics in sustainable supply chain

Article · March 2010with21 Reads
DOI: 10.1080/00207720903326944 · Source: DBLP
A reverse logistics problem, motivated by many real-life applications, is examined where bottles/cans in which products are delivered from a processing depot to customers in one period are available for return to the depot in the following period. The picked-up bottles/cans need to be adjusted in the place of delivery load. This problem is termed as simultaneous delivery and pick-up problem with constrained capacity (SDPC). We develop three unified heuristics based on extended branch and bound heuristic, genetic algorithm and simulated annealing to solve SDPC. These heuristics are also designed to solve standard travelling salesman problem (TSP) and TSP with simultaneous delivery and pick-up (TSDP). We tested the heuristics on standard, derived and randomly generated datasets of TSP, TSDP and SDPC and obtained satisfying results with high convergence in reasonable time.
    • The major challenging areas under these primary operations are vehicle routing, network design, and location /allocation. Vehicle routing, location and allocation of various logistics problems has been the focus of many recent researches (Anbuudayasankar et al., (2012), Sivakumar et al., (2012), Anbuudayasankar et al., (2010),). But most of these researches are applicable only in ordinary logistics problems.
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    Full-text · Article · Dec 2014
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    Full-text · Article · Mar 2014
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    Article · Jan 2012
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    Article · Jan 2012
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    Article · Jan 2012
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July 2007 · International Journal of Advanced Manufacturing Technology · Impact Factor: 1.46
    The reverse logistics problem of the simultaneous distribution of commodities and the collection of reusable empty packages with a single depot and a single vehicle with limited capacity is addressed in this paper. Commodities to be distributed are loaded at the depot and the empty packages are transported back to the depot. This is called the traveling salesman problem with simultaneous... [Show full abstract]
    January 2008
      The vehicle routing problem with simultaneous delivery and pick-up (VRPSDP) is the problem of optimally assimilating goods collection and distribution, when no priority constraints are imposed on the order in which the vehicle must perform the operations. This paper considers an additional constraint of maximum route length in VRPSDP. We develop a mixed-integer linear programming model for... [Show full abstract]
      January 2009 · International Journal of Value Chain Management
        Workload balancing between drivers in transshipment of goods is a critical humanitarian issue in enterprise logistics management. This problem is modelled as a multiple Travelling Salesman Problem with Workload Balancing (mTWB). The problem is addressed under the condition that the load for all the drivers must be balanced on a trip. We propose a clustering-based heuristic to solve the mTWB... [Show full abstract]
        September 2008 · Computers & Operations Research · Impact Factor: 1.86
          The single vehicle routing problem with deliveries and selective pickups (SVRPDSP) is defined on a graph in which pickup and delivery demands are associated with customer vertices. The difference between this problem and the single vehicle routing problem with pickups and deliveries (SVRPPD) lies in the fact that it is no longer necessary to satisfy all pickup demands. In the SVRPDSP a pickup... [Show full abstract]
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