Model and algorithm for bilevel multisized terminal location‐routing problem for the last mile delivery

Zhou, Lin; Lin, Yun; Wang, Xu; Zhou, Fuli

doi:10.1111/itor.12399

Cited by 50 publications

(44 citation statements)

References 58 publications

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“…Scheduling focuses on planning the sequence of deliveries in the last mile, including delivery scheduling [112,114] and drone scheduling [113]. Facility location includes articles concerned with the placement of facilities for last mile logistics [120,121].…”

Section: Themes In Last Mile Logisticsmentioning

confidence: 99%

“…Facility location Location routing and its impacts on the distribution system [118][119][120][121]. 4…”

Section: Schedulingmentioning

confidence: 99%

“…On the basis of the review findings, the scope of last mile logistics includes both B2C and B2B transactions and is not limited to one type of transaction. Although some authors limit last mile logistics to B2C transactions [3,8,44,64,95,120,123], others refer to deliveries to the final customer [40,106,151,152], which is a broader term that also includes businesses other than only consumers. Multiple types of B2B transactions are covered by the literature, e.g., the supply of retail stores [109,150,151], hotels, restaurants, cafés [51,127,144,160], and hospitals [48,154].…”

Section: Define the Scope Of Last Mile Logisticsmentioning

confidence: 99%

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Framework of Last Mile Logistics Research: A Systematic Review of the Literature

2019

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Coincident with the rapid growth of omni-channel retailing, growing urbanization, changing consumer behavior, and increasing focus on sustainability, academic interest in the area of last mile logistics has significantly increased. The growth in academic publications has been tremendous, with three out of four articles appearing within the past five years. The influx of research spans multiple disciplines and various methodologies, underlining the complexity and fragmentation of last mile logistics research, which leads to a lack of unity in the understanding of the concept. We provide a systematic review and classification of the literature to provide a more coherent view of last mile logistics research. The review covers 155 peer-reviewed journal publications focusing on last mile logistics. Findings demonstrate that the literature embraces a diversity of aspects and facets that are classified into five themes: emerging trends and technologies, operational optimization, supply chain structures, performance measurement, and policy. Further, we propose a framework of last mile logistics literature that comprises five components and their interrelationships, namely, last mile logistics, last mile distribution, last mile fulfillment, last mile transport, and last mile delivery. The results provide a foundation for further development of this research area by proposing avenues for future research.

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Section: Themes In Last Mile Logisticsmentioning

confidence: 99%

“…Facility location Location routing and its impacts on the distribution system [118][119][120][121]. 4…”

Section: Schedulingmentioning

confidence: 99%

Section: Define the Scope Of Last Mile Logisticsmentioning

confidence: 99%

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Framework of Last Mile Logistics Research: A Systematic Review of the Literature

2019

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“…Xuefeng et al suggested a multi-objective location-routing problem with simultaneous pick-up and delivery [9]. Zhou et al proposed a bi-level multi-sized terminal location-routing problem with simultaneous home delivery and customer pickup [10]. Regarding market density or demand for delivery services, Felisberto et al introduced recipient pricing in the postal sector and tested with Swiss post data by considering the area and the amount of congestion [11].…”

Section: Last Mile Deliverymentioning

confidence: 99%

“…The objective Function (9) represents the sum of incremental profit obtained through collaboration. Constraint (10) assures that only one service center can be selected for the last mile delivery service in each service region. Constraint (11) implies that the number of service regions should belong to the controlled range.…”

Section: Model Formulationmentioning

confidence: 99%

Pricing and Collaboration in Last Mile Delivery Services

Cho

Lee

2018

Sustainability

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Recently, last mile delivery has emerged as an essential process that greatly affects the opportunity of obtaining delivery service market share due to the rapid increase in the business-to-consumer (B2C) service market. Express delivery companies are investing to expand the capacity of hub terminals to handle increasing delivery volume. As for securing massive delivery quantity by investment, companies must examine the profitability between increasing delivery quantity and price. This study proposes two strategies for a company’s decision making regarding the adjustment of market density and price by developing a pricing and collaboration model based on the delivery time of the last mile process. A last mile delivery time function of market density is first derived from genetic algorithm (GA)-based simulation results of traveling salesman problem regarding the market density. The pricing model develops a procedure to determine the optimal price, maximizing the profit based on last mile delivery time function. In addition, a collaboration model, where a multi-objective integer programming problem is developed, is proposed to sustain long-term survival for small and medium-sized companies. In this paper, sensitivity analysis demonstrates the effect of delivery environment on the optimal price and profit. Also, a numerical example presents four different scenarios of the collaboration model to determine the applicability and efficiency of the model. These two proposed models present managerial insights for express delivery companies.

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Multi‐objective location‐allocation‐routing problem of perishable multi‐product supply chain with direct shipment and open routing possibilities under sustainability

Fishani

Mahmoodirad

Niroomand

et al. 2022

Concurrency and Computation

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In this study a multi-objective formulation is proposed for designing a supply chain of perishable products including suppliers, plants, distributors, and customers under sustainable development. In addition to the studies of the literature, direct shipment between producers and customers and also alternative products possibility are allowed. In this problem the objectives like facilities establishment costs, transportation costs, negative environmental impacts, and social impact (fixed and variable employment rates) are optimized simultaneously. As in real situations, most of the transportation activities of such supply chain are performed by hiring transportation devices, the open routing logic is applied to form the travelling path of each hired transportation device. Furthermore, the possibility of direct shipment from the plants to the customers is considered in order to increase profitability of the plants. Because of the NP-hard nature of the supply chain design problems, some meta-heuristic solution approaches of the literature are modified to multi-objective form and applied to solve the problem. Several test problems from small to large sizes are generated randomly to evaluate the meta-heuristic algorithms. As a result, among the proposed algorithms, the multi-objective grey wolf optimizer (MGWO) perform better than others by considering four wellknown evaluation metrics. At the end, a case study from perishable products supply chain of Iran is solved and analyzed to show the applicability of the proposed problem.

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Model and algorithm for bilevel multisized terminal location‐routing problem for the last mile delivery

Cited by 50 publications

References 58 publications

Framework of Last Mile Logistics Research: A Systematic Review of the Literature

Framework of Last Mile Logistics Research: A Systematic Review of the Literature

Pricing and Collaboration in Last Mile Delivery Services

Multi‐objective location‐allocation‐routing problem of perishable multi‐product supply chain with direct shipment and open routing possibilities under sustainability

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