Improving the Operational Efficiency of Parcel Delivery Network with a Bi-Level Decision Making Model

Nam, Daisik; Park, Minyoung

doi:10.3390/su12198042

Cited by 4 publications

(2 citation statements)

References 27 publications

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“…The issue addressed is based on the need to optimize the already existing delivery routes of the presented company at the branch in the city of České Budějovice, Czech Republic. This branch distributes gastronomic equipment throughout the year on optimized routes with the full utilization capacity of service vehicles [26]. However, the problem arises during the main season, when the seasonal demand of the operators of camps and restaurant facilities increases for the regular served customers, mainly due to the increased tourist traffic.…”

Section: Presentation Of the Addressed Problemmentioning

confidence: 99%

Optimization of the Pick-Up and Delivery Technology in a Selected Company: A Case Study

et al. 2022

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This article deals with pick-up and delivery activities in a selected company that focuses on the distribution of products in the gastronomic sector of the market and suggests how to make the present approach more efficient. The introductory part of the article clarifies the meanings of basic concepts related to the issue of optimizing the logistics processes in the company. The crucial goal is to analyze the existing pick-up and delivery technology and then, in the application part of the article, to propose adequate measures in the context of streamlining these activities with their technical and economic evaluation. An analysis of current delivery routes, which are used for the distribution of gastronomic products, is first performed. Thereafter, the routes are optimized with the aim of minimizing the total distance traveled by using the Operations Research methods, namely: the Hungarian method, Vogel approximation method, nearest neighbor method and the Routin route planner which is based on a principle of the Greedy algorithm. At the end of the article, a technical and economical evaluation of the findings is discussed, wherein the individual results of optimization through selected methods are first compared and then, new optimized routes are selected.

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Section: Presentation Of the Addressed Problemmentioning

confidence: 99%

Optimization of the Pick-Up and Delivery Technology in a Selected Company: A Case Study

et al. 2022

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“…The actual calculation results show that this integrated model is more efficient than existing models. Another trial research, such as literature [25,26], also investigated the integrated model for the bi-objective capacitated P-median problem with multilevel capacities. Their research contributed to a good way to make use of advantages from these two kinds of models, but did not meet exactly four requirements of the URT maintenance network we study.…”

Section: Multi-facility Location-allocation Model In the Networkmentioning

confidence: 99%

Maintenance Decision-Making of an Urban Rail Transit System in a Regionalized Network-Wide Perspective

et al. 2020

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The networked operation of Urban Rail Transit (URT) brings the new challenge of network-wide maintenance. This research focuses on the URT Network-Wide Maintenance Decision-Making Problem (URT-NMDP), including regionalized maintenance network design and maintenance resource allocation. In this work, we proposed a bi-objective integer programming model that integrates the characteristics of set coverage and P-median models, resulting in the regionalized maintenance network design model. Some critical factors are considered in the model, such as the importance of node, the maximum failure response time, and maintenance guarantee rules. We designed a NSGA-II based algorithm to solve the model. Moreover, due to the uncertainty of failures in the URT network, we developed the method of allocating maintenance resources based on Monte Carlo simulation to strengthen the reliability of the regionalized maintenance network. With the model and algorithm presented in this work, we obtained Pareto optimal solutions of URT-NMDP, i.e., URT network-wide maintenance planning schemes, which include the number and location of maintenance points, the allocation of demand points, and the amount of maintenance units. Finally, a real-world case is studied to evaluate the operating performance of these schemes for verifying the method in our paper. The results of the case study demonstrate that the reasonable and tested-in-practice maximum failure response time is the precondition for the efficient URT maintenance network. The maintenance scheme considered the weighted importance of node shows the optimal performance, with the shortest overall maintenance path and the minimum average failure response time and investment cost on maintenance resources.

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Fast POI anomaly detection using a weakly-supervised temporal state regression network

Yao

2024

Comput.Urban Sci.

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Point-of-interest (POI) is a fundamental data type of maps. Anomalous POIs would make maps outdated and lead to user-unfriendly location-based services, and thus should be discovered as fast as possible. Traditional POI anomaly detection methods are inefficient owing to high investigation costs. The emergence of massive human activity data provides a new insight into monitoring POI states through time series modeling. When a POI turns into an anomaly, the associated human activity would disappear. However, human activity data have complicated temporal patterns and noises. It is challenging for existing time series methods to model human activity dynamics. More importantly, there is a lag between the time a POI becomes anomalous and the time we discover it. In this research, we develop a temporal state regression network (TSRNet) model for fast POI anomaly detection. The model can extract temporal features in human activity data, and predict POI state scores as anomaly indicators. Meanwhile, an inference approach is proposed to generate state score sequences as inexact labels for model training. Such weak labels enable TSRNet to identify abnormal temporal patterns as soon as they appear, so that POI outliers can be detected at an early time. Experiments on real-word datasets from AMAP validate the feasibility of our method.

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Improving the Operational Efficiency of Parcel Delivery Network with a Bi-Level Decision Making Model

Cited by 4 publications

References 27 publications

Optimization of the Pick-Up and Delivery Technology in a Selected Company: A Case Study

Optimization of the Pick-Up and Delivery Technology in a Selected Company: A Case Study

Maintenance Decision-Making of an Urban Rail Transit System in a Regionalized Network-Wide Perspective

Fast POI anomaly detection using a weakly-supervised temporal state regression network

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