Joint distribution: service paradigm, key technologies and its application in the context of Chinese express industry

He, Yandong; Zhou, Fuli; Qi, Mingyao; Wang, Xu

doi:10.1080/13675567.2019.1667314

Cited by 30 publications

(29 citation statements)

References 32 publications

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“…Zhang et al [23] studied the two-echelon supply chain of deteriorating items and found that the manufacturer and the retailer make joint investments in preservation technology to prevent product deterioration and design revenue sharing and cooperative investment contract to coordinate the supply chain. Revenue sharing and cost-sharing contracts are widely used in the research on sustainable supply chain and green supply chain [24][25][26][27][28][29][30][31][32]. Yang and Chen [28] investigated the impact of revenue sharing and cost-sharing provided by retailers on manufacturers' efforts to reduce carbon emissions and the profitability of the two companies.…”

Section: Literature Reviewmentioning

confidence: 99%

Sharing Economy for Cost Reduction and Efficiency Increase: The Case of Sharing E-Commerce Logistics

et al. 2021

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In the real business environment, due to unpredictable market demand or high prediction difficulty and low prediction accuracy, there will be inevitably operational loss in the field of e-commerce logistics caused by undersupply or oversupply of express service capabilities. At present, China is deepening the supply-side structural reforms. Confronted with the growing demand for e-commerce logistics express delivery, especially the urgent demand for tackling orders piling up to 1 billion pieces during the recent “Double 11” shopping carnival, it is very important and practical for us to study how to make scientific decisions on the supply side in the field of e-commerce express delivery. Therefore, in this paper, we design a sharing logistics cooperation mechanism considering both the undersupply and oversupply of express delivery service capabilities under stochastic demand. By comparing the earnings data of several listed express companies, we analyze four types of optimization strategies: the order flow proportion revenue sharing strategy (RE-OFP), the combined factors revenue sharing strategy (RE-RSF), the order flow proportion risk sharing strategy (RS-OFP), and the combined factors risk sharing strategy (RS-RSF). The research results demonstrate that the four optimization strategies of RE-OFP, RE-RSF, RS-OFP, and RS-RSF could achieve Pareto improvements in the operational performance of e-commerce express service. The performance of four revenue sharing and risk sharing strategies varies with different revenue sharing or risk sharing factors. Under some certain combined factors, the revenue sharing contract could help realize the supply chain coordination of the sharing logistics service. The sharing logistics cooperation mechanism based on equity investment proposed hereafter provides a feasible solution to solve the problems of high empty driving rate and operational cost of e-commerce express delivery service in urban areas.

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Section: Literature Reviewmentioning

confidence: 99%

Sharing Economy for Cost Reduction and Efficiency Increase: The Case of Sharing E-Commerce Logistics

et al. 2021

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“…According to the law of large numbers, the expected values of stochastic variables can be evaluated approximatively by means of stochastic simulation. Take the solution x as an example, the procedure is as follows [36]- [41]: Procedure 1: Calculation of expected values based on stochastic simulation:…”

Section: B Expected Recourse Costmentioning

confidence: 99%

Last Mile Delivery With Stochastic Travel Times Considering Dual Services

Zhou

2019

IEEE Access

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Nowadays there are two prevailing delivery modes in the last mile delivery; one is the home delivery (HD) that vehicles deliver parcels to customers' homes; and the other is the customers' pickup (CP) that vehicle deliver parcels to some kind of intelligent express boxes where customers can pick up their parcels with free time. This article studies a green vehicle routing problem considering dual services (HD and CP) with stochastic travel times (GVRP-DS-STT) to provide customers with sustainable and diversified delivery services. The GVRP-DS-STT problem is formulated as a two-stage stochastic optimization model with recourse strategy. The purpose of the model is to minimize the total operational cost under stochastic environment. In addition, a two-stage heuristic algorithm integrating with a sampling strategy is developed to solve approximately the problem, the first of which is the greedy-based initial feasible solution generation, and the second of which is an improvement heuristic with late acceptance to explore the solution space. The computational results show that there are increasing benefit in terms of total operational cost, number of the vehicles used and loading rate with the increase of percentage of CP customers. The time windows have great effect on the operational cost, but more CP customers can reduce their impact. The stochastic model outperforms the deterministic model in terms of total operational cost. INDEX TERMS Green vehicle routing problem, stochastic travel times, dual services, sample average approximation sampling, hybrid heuristics.

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“…Different with other business activities in e-commerce, the logistics operation has been paid much attention due to it being a bottleneck activity. With the development of advanced information technologies and logistics techniques, the operational efficiency of logistics has been improved, as well as innovation management practice on logistics mode [2,3].…”

Section: Introductionmentioning

confidence: 99%

“…To promote the joint distribution mode, Li studied the profit allocation mechanism of the joint alliance [6]. e innovative VRP applications and distribution modes contribute to efficiency improvement of express delivery [3,6]. e double service including home delivery and customers' pick-up are taken into consideration during the VRP optimization [7,8].…”

Section: Introductionmentioning

confidence: 99%

Service Quality Evaluation of Terminal Express Delivery Based on an Integrated SERVQUAL-AHP-TOPSIS Approach

Yang

2021

Mathematical Problems in Engineering

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With the rapid development of e-commerce and information technology, the express package volume in the Chinese market keeps an explosively increasing tendency. Terminal delivery plays a significant role on the business and reputation promotion of express brand. To identify the service quality of delivery service, an integrated SERVUQAL-AHP-TOPSIS approach is developed to evaluate the quality of service (QoS) of the city express industry. Firstly, the QoS criteria system is established through SERVQUAL-based dimensions. Secondly, the AHP method is employed to derive the relative weights of criteria. Then, the two stages are embedded into the TOPSIS steps to evaluate the service quality of the express alternative. An application case study is conducted following the detailed steps of the proposed integrated decision-making framework, and results demonstrate the effectiveness and validity of the proposed approach on the QoS of terminal delivery evaluation problem.

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Joint distribution: service paradigm, key technologies and its application in the context of Chinese express industry

Cited by 30 publications

References 32 publications

Sharing Economy for Cost Reduction and Efficiency Increase: The Case of Sharing E-Commerce Logistics

Sharing Economy for Cost Reduction and Efficiency Increase: The Case of Sharing E-Commerce Logistics

Last Mile Delivery With Stochastic Travel Times Considering Dual Services

Service Quality Evaluation of Terminal Express Delivery Based on an Integrated SERVQUAL-AHP-TOPSIS Approach

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