A study on the influential factors of the last mile delivery projects during Covid-19 era

Suguna, M.; Shah, Bhavin; Raj, Shraddha; Suresh, M.

doi:10.1007/s12063-021-00214-y

Cited by 35 publications

(20 citation statements)

References 60 publications

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“…The MSMEs need to master their coordination skills with suppliers and customers during the Covid-19 emergency. The logistics and distribution activities are highly unstable regarding the government's decision on cross-border transport (Suguna et al 2021 ). Furthermore, MSMEs need to strengthen existing logistics partners rather than looking for new collaborators (Mitręga and Choi 2021 ).…”

Section: Discussionmentioning

confidence: 99%

“…Agarwal and Seth ( 2021 ) analyzed the interrelationship of supply chain resilience affecting factors for automotive organizations using TISM. Suguna et al ( 2021 ) applied TISM to examine the last mile delivery factors’ interrelationships during Covid-19 emergency. Chillayil et al ( 2021 ) studied the energy auditing behavioral factors’ interrelationships using TISM.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Based on the sample statistics and t-values, the results of hypotheses tested are shown in Table 8 . At a 5% significance level, all those links that had a value less than 0.025 (significance value for a one-tailed test) were accepted, and other links were rejected (Suguna et al 2021 ). In these 16 pair of links, majority of links were accepted except one direct link, i.e., B7-B5.…”

Section: Tism Validationmentioning

confidence: 99%

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Factors affecting repurposing operations in Micro Small and Medium Enterprises during Covid-19 emergency

et al. 2022

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Micro, Small and Medium Enterprises (MSME) sector plays a substantial role in the overall economic development and employment generation of a country. The Covid-19 pandemic has impacted adversely, and it is inevitably necessary to consider the influence of the pandemic on MSME, which will assist the policymakers in helping in the repurposing operations of the sector. Because of its size, scale of operations, and availability of financial resources, the MSMEs sector has been one of the most susceptible sectors post-Covid-19. Many academics have explored the constraints to MSMEs' development in the past, but limited research has been done using Total Interpretive Structural Modelling (TISM) technique for the factors impacting MSMEs' repurposing operations during the Covid-19 emergency. This research seeks to "identify," "analyze," and "categorize" the elements impacting MSMEs' repurposing operations during the Covid-19 pandemic. Literature review and experts’ comment from various MSMEs resulted in identification of 7 enablers. The TISM and MICMAC approach was employed in this study. The findings shows that occupational health and safety, logistics, and government rules and regulations are the key factors affecting repurposing operations in MSMEs during the Covid-19 emergency. This research helps the top-executives of MSME to look into the factors affecting repurposing operations in MSMEs during the Covid-19 emergency. This research examines factors affecting repurposing operations in MSMEs during the Covid-19 emergency. It is the first study to analyze the factors affecting the repurposing operations in MSME during the Covid-19 using TISM technique.

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Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Tism Validationmentioning

confidence: 99%

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Factors affecting repurposing operations in Micro Small and Medium Enterprises during Covid-19 emergency

et al. 2022

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“…The transfer rate of USB is faster than that of serial and parallel ports. Moreover, a signal processor can be installed in it as a cache, and the power consumption is also very low [ 21 ]. The camera is directly connected to the USB port of Raspberry Pi.…”

Section: Methodsmentioning

confidence: 99%

Application and Communication Optimization Technology of Unmanned Distribution Car under Deep Learning in Logistics Express of COVID-19

Song

Luan

2022

Computational Intelligence and Neuroscience

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This work aims to solve the problem that the daily necessities of urban residents cannot be delivered during coronavirus disease 2019 (COVID-19), thereby reducing the possibility of the delivery personnel contracting COVID-19 due to the need to transport medicines to the hospital during the epidemic. Firstly, this work studies the application and communication optimization technology of unmanned delivery cars based on deep learning (DL) under COVID-19. Secondly, a route planning method for unmanned delivery cars based on the DL method is proposed under the influence of factors such as maximum flight time, load, and road conditions. This work analyzes and introduces unmanned delivery cars from four aspects combined with the actual operation of unmanned delivery cars and related literature: the characteristics, delivery mode, economy, and limitations of unmanned delivery cars. The unmanned delivery car is in the promotion stage. A basic AVRPTW model is established that minimizes the total delivery cost without considering the charging behavior under the restriction of some routes, delivery time, load, and other factors. The path optimization problem of unmanned delivery cars in various situations is considered. A multiobjective optimization model of the unmanned delivery car in the charging/swap mode is established with the goal of minimizing the total delivery cost and maximizing customer satisfaction under the premise of meeting the car driving requirements. An improved genetic algorithm is designed to solve the established model. Finally, the model is tested, and its results are analyzed. The effectiveness of this route planning method is proved through case analysis. Customer satisfaction, delivery time, cost input, and other aspects have been greatly improved through the improvement and optimization of the unmanned delivery car line, which has been well applied in practice. In addition, unmanned delivery cars are affected by many factors such as load, and the service time required for delivery is longer. Therefore, this work chooses an unmanned distribution car with strong endurance to improve distribution efficiency. The new hospital contactless distribution mode discussed here will play an important role in promoting future development.

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“…In view of the constraints of the theory behind last-mile delivery efficiency, the author chose to employ the TISM approach model, which had been used in a prior analysis of last-mile delivery initiatives during the COVID-19 period (Suguna et al, 2022). ISM opened the path for graphical representations of complicated systems.…”

Section: Theoretical Framework Tism Approach Modelmentioning

confidence: 99%

Efficiency of Last Mile Delivery of Logistics Service Providers (Lsps) in Malaysia: Post-Covid

ZAINUDDIN¹,

Deraman²,

RAMAN³

et al. 2022

qjssh

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Several studies have researched on numerous areas about last mile delivery over the past years however, studies focusing on factors influencing efficiency of last mile delivery of logistics service providers (LSPs) is still fragmented and yet to be examined vigorously particularly during post-covid era. To fill the unanswered gaps of last mile delivery efficiency, this research aims to investigate the factors that influence efficiency of last mile delivery of logistics service providers (LSPs) in Malaysia in post-covid era. As a result, this research assists logistics service providers (LSPs) in identifying essential elements and focusing on these aspects in order to successfully improve and execute their last mile delivery services. Perhaps as a consequence, the authors think that this research will guarantee that the hurdles to achieving optimal last-mile delivery are addressed, ensuring the quality of transportation operations and a positive customer experience. This research was conducted in a quantitative approach and the method of data collection was conducted using the physical and online survey questionnaire to obtain responses from major LSPs involved in B2C e-commerce in Malaysia (Pos Malaysia, J&T Express, GDex, Ninjavan) using a non-probability sampling method. A total of 300 respondents participated in the survey from which all of them were taken from around LSPs situated in Malaysia. In accordance with analysis from regression, it is seemed issues from customer side factor seems the stronger influence in the efficiency of last mile delivery during the post covid era, followed by cost of last mile delivery and then by customer expectation. These variables should drive LSPs' strategies and dynamic attempts to enhance last mile delivery efficiency.

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A study on the influential factors of the last mile delivery projects during Covid-19 era

Cited by 35 publications

References 60 publications

Factors affecting repurposing operations in Micro Small and Medium Enterprises during Covid-19 emergency

Factors affecting repurposing operations in Micro Small and Medium Enterprises during Covid-19 emergency

Application and Communication Optimization Technology of Unmanned Distribution Car under Deep Learning in Logistics Express of COVID-19

Efficiency of Last Mile Delivery of Logistics Service Providers (Lsps) in Malaysia: Post-Covid

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