A Hybrid Methodology for Last Mile Delivery Strategy and Solution Selection at Smart Cities

Büyüközkan, Gülçin; Uztürk, Deniz

doi:10.1007/978-981-15-8273-8_17

Cited by 5 publications

(3 citation statements)

References 21 publications

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“…SWOT analysis is a strategic planning model used to evaluate an organization, a plan, a project, or an activity through internal (strengths and weaknesses) and external dimensions (opportunities and threats) [16]. It is applied as a qualitative management tool that aims to highlight the positive and negative aspects of different business models in urban freight and parcel delivery according to the views of international courier delivery service companies, traditional subcontractors, green subcontractors, customers, and authorities [17], and also through auxiliary evaluation with the generation of criteria to the selection of the most appropriate solutions for smart delivery in the last mile [18]. Additionally, it is applied to white-label business model proposals compared to the traditional door/mailbox delivery business model from the viewpoint of municipal managers and experts in economic and regional development [19], as well as evaluation from the perspective of consumers of the service characteristics of the company DHL Express [20].…”

Section: Swot Analysismentioning

confidence: 99%

Methodology for Prioritizing Best Practices Applied to the Sustainable Last Mile—The Case of a Brazilian Parcel Delivery Service Company

et al. 2022

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The ever-increasing impacts of the last mile delivery sector on the environment and the quality of life of the urban population, such as increased congestion, demand best practices to be incorporated by companies to reduce impacts such as emission of air pollutants and Greenhouse Gases (GHG) and depletion of natural resources, among others. However, a myriad of strategies has been developed for this purpose but there is a lack of methodologies that allow the choice of the best ones for a specific case. Therefore, this study looks for those best practices to be employed through an innovative methodology that consists of SWOT analysis (Strengths, Weaknesses, Opportunities, and Threats), a map of strategies of the delivery service, and using the Sustainability Balanced Scorecard (SBSC) and the Analytic Hierarchy Process (AHP), with the differential of considering the peculiarities of each company. The results applied in a Brazilian last mile delivery service company show that best practices such as route optimization, implementation of new infrastructure and business models for urban deliveries, and use of information systems for fleet tracking and monitoring contribute significantly to improving performance indicators and achieving the sector’s goal to become more sustainable, and especially meeting the Sustainable Development Goals (SDGs) 8, 9, 11, and 17.

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Section: Swot Analysismentioning

confidence: 99%

Methodology for Prioritizing Best Practices Applied to the Sustainable Last Mile—The Case of a Brazilian Parcel Delivery Service Company

et al. 2022

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“…e key to finding high-quality solutions for CL problems is in the compromise between the goals of stakeholders as well as in the balance among the identified demands and available resources [60]. A portion of the existing literature research focused on the selection of adequate last mile delivery solutions from a set of individual technologies and measures (e.g., [61][62][63]). Some research focused on the selection of the most appropriate initiatives from the defined CL initiative groups (e.g., [64,65]).…”

Section: Last Mile Solution Sustainabilitymentioning

confidence: 99%

A Novel Hybrid MCDM Model for the Evaluation of Sustainable Last Mile Solutions

Krstić

Tadić

Kovač

et al. 2021

Mathematical Problems in Engineering

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Modern social trends are intensively transforming supply chains and the last mile as their most complex and most expensive segment. For the realization of the last mile, various solutions can be defined which combine initiatives, technologies, and concepts of city logistics. The successful implementation of these solutions depends on the characteristics of the city, the goals of stakeholders, and the ability to achieve economic, social, and environmental sustainability. In accordance with that, this paper defines innovative sustainable last mile solutions and evaluates their potential application in the real-life logistics system of the city. As evaluation requires consideration of a large number of criteria, this is a problem of multicriteria decision-making, and for solving it, a novel hybrid model that combines Delphi, FARE (Factor Relationship), and VIKOR (Višekriterijumska Optimizacija i Kompromisno Rešenje) methods in the fuzzy environment has been developed. The applicability of the model is demonstrated in the example of evaluating the last mile solution for the central business district of the City of Belgrade. A combination of microconsolidation centers and autonomous vehicles is obtained as the most favorable solution.

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“…As the aforementioned urbanisation increases on a global scale, the development of smart cities has become an inevitable step towards efficiency, sustainability and improved quality of life for residents. In the context of dynamic socioeconomic change, last-mile delivery in smart cities is a key infrastructure component [2], affecting not only city logistics but also the overall service quality and customer satisfaction [3].…”

Section: Introductionmentioning

confidence: 99%

Enhancing Smart Cities through Third-Party Logistics: Predicting Delivery Intensity

Kmiecik,

Wierzbicka

2024

Smart Cities

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This article addresses the key and current issues of smart cities in the context of last-mile supply management. Specifically, it explores how third-party logistics (3PL) activities impact last-mile delivery management in smart cities. It examines how 3PL affects delivery volumes, expanding the predictive capabilities of logistics operators. A research question included in the Introduction of this paper is also posed to explore the problem in depth. The research conducted focuses mainly on a case study conducted on the operations of an international 3PL logistics operator. In addition, predictive methods are used to analyse the shipment volume data for individual barcodes in the two analysed cities in Poland. Currently, the concept of a smart city assumes the limited participation of logistics operators in creating improvements for cities. The case study analysis shows that in the cities studied, 3PL companies, through predictive actions, can regulate the flow of vehicles out of the logistics centre and into the city, thus influencing the traffic volume in the city. The research is limited to two cities in Poland implementing smart city solutions and one logistics operator. The research also does not include e-commerce. The authors acknowledge that the results obtained cannot be generalised to a larger scale. This paper bridges the research gap on 3PL activities for last-mile logistics improvements. In addition, the paper proposes the first concept related to the implementation of a 3PL company’s predictive activities associated with the operator’s ability to control the impact on urban traffic.

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A Hybrid Methodology for Last Mile Delivery Strategy and Solution Selection at Smart Cities

Cited by 5 publications

References 21 publications

Methodology for Prioritizing Best Practices Applied to the Sustainable Last Mile—The Case of a Brazilian Parcel Delivery Service Company

Methodology for Prioritizing Best Practices Applied to the Sustainable Last Mile—The Case of a Brazilian Parcel Delivery Service Company

A Novel Hybrid MCDM Model for the Evaluation of Sustainable Last Mile Solutions

Enhancing Smart Cities through Third-Party Logistics: Predicting Delivery Intensity

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