A Disruption Recovery Model for Time-Dependent Vehicle Routing Problem With Time Windows in Delivering Perishable Goods

Wu, Yao; Bin, Zheng; Zhou, Xueliang

doi:10.1109/access.2020.3032018

Cited by 9 publications

(6 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the literature, many researchers highlight the models and approaches that have been developed to generate an optimal recovery plan to minimise financial damage and recovery time (Paul and Rahman, 2018; Fattahi et al , 2020). Furthermore, heuristics models are also being used as recovery models for developing disruption recovery strategies for integrated product and supplier selection decisions (Chen et al , 2021) and to generate the disruption recovery plan for routing problems (Wu et al , 2020). These optimisation and heuristics models broadly recommend action plans to render supply chains more resilient against unknown-unknown risks.…”

Section: Literature Reviewmentioning

confidence: 99%

Key supply chain strategies for the post-COVID-19 era: implications for resilience and sustainability

Paul

Moktadir

Ahsan

2021

IJLM

View full text Add to dashboard Cite

PurposeThe impacts of the novel coronavirus (COVID-19) outbreak continue to devastate supply chain operations. To attain a competitive advantage in the post-COVID-19 era, decision-makers should explore key supply chain strategies to move forward and ready their policies to be implemented when the crisis sufficiently subsides. This is a significant and practical decision-making issue for any supply chain; hence, the purpose of this study is to explore and analyse key supply chain strategies to ensure robustness and resilience in the post-COVID-19 era.Design/methodology/approachThis study conducted an expert survey targeting practitioners and academics to explore key supply chain strategies as means of moving forward in the post-COVID-19 era. Further, the key strategies were quantitatively analysed by applying the best-worst method (BWM) to determine their priority importance in the context of the manufacturing sector.FindingsThe results revealed that supply chain resilience and sustainability practices could play a dominant role in this period. The findings of the study can assist supply chain decision-makers in their formulations of key strategies.Originality/valueThis is the first study to investigate key supply chain strategies for the post-COVID-19 era. This study will help practitioners paying attention to resilience and sustainability practices for managing the impacts of future large-scale disruptions.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Key supply chain strategies for the post-COVID-19 era: implications for resilience and sustainability

Paul

Moktadir

Ahsan

2021

IJLM

View full text Add to dashboard Cite

show abstract

“…Nowadays, as logistics plays a vital role in supply chain management and transportation, VRPTW has gained significant attention from the research community due to its numerous real-world applications. For example, waste collection [2,3], home healthcare [4,5], perishable goods delivery [6], municipal solid waste collection [7], home delivery [8], bus route optimization [9], ride-sharing services [10], customized bus service [11], among others [12][13][14][15][16][17][18][19][20][21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

A Systematic Literature Review of Vehicle Routing Problems with Time Windows

et al. 2023

View full text Add to dashboard Cite

Vehicle routing problems with time windows (VRPTW) have gained a lot of attention due to their important role in real-life logistics and transport. As a result of the complexity of real-life situations, most problems are multi-constrained and multi-objective, which increases their difficulty. The aim of this paper is to contribute to the effective solution of VRPTW-related problems. Therefore, research questions and objectives are set in accordance with PRISMA guidelines, and data extraction and analysis of the relevant literature within the last five years (2018–2022) are compared to answer the set research questions. The results show that approximately 86% of the algorithms involved in the literature are approximate methods, with more meta-heuristics than heuristics, and nearly 40% of the literature uses hybrid methods combining two or more algorithms.

show abstract

“…Wang et al pointed out the problem of collaborative multi-depot vehicle routing with time window assignment, and provided a strategy reduced the impact of changing time windows on operating costs effectively [ 22 ]. Based on an initial time-dependent vehicle routing model with time windows, Wu et al synthesized the perishable nature of delivered goods and dynamic travel route choice in urban road network [ 23 ]. Rostislav et al mentioned that transportation road network is particularly vulnerable to a wide range of extreme events (usually natural calamities), and introduced a road network reconstruction based on the ant colony optimization to overcome this issue [ 24 ].…”

Section: Introductionmentioning

confidence: 99%

A two-stage simulation analysis of uncertain road damage on the urban emergency delivery network

Song

Liú

2022

PLoS ONE

View full text Add to dashboard Cite

When a city encounters a natural disaster, the traffic capacity of the road will change uncertainly over time as the disaster spreads. At this time, it will affect the overall distribution of the urban road network. Therefore, in order to ensure the normal operation of the city, evaluate the objective regularities of impact is of great significance and urgency to emergency decision-makers. The extent and scope of road damaged in the disaster-stricken area varies with time due to the impact of natural calamities. To reveal the regularities impact, this paper provides a two-stage analysis method based on the distribution path of the road network, offering basic data analysis and nonlinear fitting regression analysis on distribution costs, spatial accessibility and distribution efficiency. This study uses the degree of road network damage and the double randomness of road damaged to establish a transportation model for dynamic simulation analysis. The research results show that the delivery regularity of costs, spatial accessibility, and efficiency present the s-curve changes obviously. There are obvious inflection points when the damaged road percentage reaches about 10%-15% and 30%-40%. Therefore, the most suitable delivery route and time can be selected to maximize efficiency and reduce losses.

show abstract

A Disruption Recovery Model for Time-Dependent Vehicle Routing Problem With Time Windows in Delivering Perishable Goods

Cited by 9 publications

References 38 publications

Key supply chain strategies for the post-COVID-19 era: implications for resilience and sustainability

Key supply chain strategies for the post-COVID-19 era: implications for resilience and sustainability

A Systematic Literature Review of Vehicle Routing Problems with Time Windows

A two-stage simulation analysis of uncertain road damage on the urban emergency delivery network

Contact Info

Product

Resources

About