The pickup and delivery problem (PDP) asks to find a set of vehicles that serve a given set of requests with the minimum travel cost, where each request consists of a pickup point, a delivery point and a load (the quantity to be delivered from the pickup point to the delivery point). In the pickup and delivery problem with transfer (PDPT), for each request, its load picked up at the pickup point is allowed to be dropped at a transshipment point before it is picked up again and delivered to the delivery point by another vehicle. This paper analyzes the maximum travel cost that can be saved by introducing a transshipment point to the pickup and delivery problem (PDP). We show that the bounds are in proportion to square root of the number of cycles in an optimal PDPT solution and also square root of the number of requests. We furthermore present an instance that the bound is the tight for a special case.
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Yoshitaka NAKAO, Hiroshi NAGAMOCHI, "Worst Case Analysis for Pickup and Delivery Problems with Transfer" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 9, pp. 2328-2334, September 2008, doi: 10.1093/ietfec/e91-a.9.2328.
Abstract: The pickup and delivery problem (PDP) asks to find a set of vehicles that serve a given set of requests with the minimum travel cost, where each request consists of a pickup point, a delivery point and a load (the quantity to be delivered from the pickup point to the delivery point). In the pickup and delivery problem with transfer (PDPT), for each request, its load picked up at the pickup point is allowed to be dropped at a transshipment point before it is picked up again and delivered to the delivery point by another vehicle. This paper analyzes the maximum travel cost that can be saved by introducing a transshipment point to the pickup and delivery problem (PDP). We show that the bounds are in proportion to square root of the number of cycles in an optimal PDPT solution and also square root of the number of requests. We furthermore present an instance that the bound is the tight for a special case.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.9.2328/_p
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@ARTICLE{e91-a_9_2328,
author={Yoshitaka NAKAO, Hiroshi NAGAMOCHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Worst Case Analysis for Pickup and Delivery Problems with Transfer},
year={2008},
volume={E91-A},
number={9},
pages={2328-2334},
abstract={The pickup and delivery problem (PDP) asks to find a set of vehicles that serve a given set of requests with the minimum travel cost, where each request consists of a pickup point, a delivery point and a load (the quantity to be delivered from the pickup point to the delivery point). In the pickup and delivery problem with transfer (PDPT), for each request, its load picked up at the pickup point is allowed to be dropped at a transshipment point before it is picked up again and delivered to the delivery point by another vehicle. This paper analyzes the maximum travel cost that can be saved by introducing a transshipment point to the pickup and delivery problem (PDP). We show that the bounds are in proportion to square root of the number of cycles in an optimal PDPT solution and also square root of the number of requests. We furthermore present an instance that the bound is the tight for a special case.},
keywords={},
doi={10.1093/ietfec/e91-a.9.2328},
ISSN={1745-1337},
month={September},}
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TY - JOUR
TI - Worst Case Analysis for Pickup and Delivery Problems with Transfer
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2328
EP - 2334
AU - Yoshitaka NAKAO
AU - Hiroshi NAGAMOCHI
PY - 2008
DO - 10.1093/ietfec/e91-a.9.2328
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2008
AB - The pickup and delivery problem (PDP) asks to find a set of vehicles that serve a given set of requests with the minimum travel cost, where each request consists of a pickup point, a delivery point and a load (the quantity to be delivered from the pickup point to the delivery point). In the pickup and delivery problem with transfer (PDPT), for each request, its load picked up at the pickup point is allowed to be dropped at a transshipment point before it is picked up again and delivered to the delivery point by another vehicle. This paper analyzes the maximum travel cost that can be saved by introducing a transshipment point to the pickup and delivery problem (PDP). We show that the bounds are in proportion to square root of the number of cycles in an optimal PDPT solution and also square root of the number of requests. We furthermore present an instance that the bound is the tight for a special case.
ER -