Two-Stage Optimization Model of Agricultural Product Distribution in Remote Rural Areas

Zhang, Hao; Feng, Huixia; Hong-mei, Wang

doi:10.1109/access.2020.3024281

Cited by 7 publications

(3 citation statements)

References 37 publications

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“…Marianov et al [28] studied the location of retail stores considering customers' purchase of multiple commodities. Zhang et al [29] first used the distance between township logistics nodes to conduct AP clustering, and then constructed an optimization model for an agricultural product joint distribution center. Yu et al [30] studied the two-echelon vehicle routing problem with time windows, covering options, and occasional drivers.…”

Section: Physical Store Locationmentioning

confidence: 99%

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Location Optimization of Offline Physical Stores Based on MNL Model under BOPS Omnichannel

Wan

Zhang

Liu

et al. 2022

JTAER

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With the continuous upgrading of consumer demand and retail modes, more and more retailers are switching to an omnichannel retail mode. In order to study the location problem of offline physical stores of online retail enterprises that plan to implement the BOPS (Buy Online and Pickup in Store) omnichannel retail model, this paper considers consumers’ choice behavior under the omnichannel retail model; uses the MNL (Multinomial Logit) model to depict customers’ choice behavior between the online channel, BOPS channel, and offline physical channel; and constructs a location optimization model of offline physical stores with the goal of minimizing the enterprise’s cost. According to the characteristics of the model, an improved genetic algorithm was designed; the algorithm was improved on chromosome selection mode, crossover, and mutation rules. Finally, an example is calculated, and the physical store location scheme of a retail enterprise and the vehicle routing optimization scheme under the two-level distribution network are obtained, which verifies the effectiveness of the model and algorithm and provides a scientific reference for the physical store location decision of online retail enterprises planning to implement the BOPS omnichannel retail model. The impact of freight, return rate, and service level of physical stores on the location of offline physical stores is analyzed. The results show that in the process of expanding offline physical stores to implement the BOPS omnichannel retail model, online retail enterprises can reduce enterprise costs by improving the freight level and service level of the physical store. The higher the return rate of the online channel, the more necessary it is to expand offline physical stores, and the lower the enterprise cost. At the same time, management suggestions are put forward for the enterprise operation under the BOPS omnichannel retail mode.

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Section: Physical Store Locationmentioning

confidence: 99%

“…Formula (27) indicates that vehicle k 1 can only drive out of the physical store that has been built. Constraints (28) and (29) eliminate sub-cycles between customers and physical stores. Constraint (30) ensures that each vehicle k 1 can only start from one physical store at most.…”

Section: Objective Functionmentioning

confidence: 99%

Location Optimization of Offline Physical Stores Based on MNL Model under BOPS Omnichannel

Wan

Zhang

Liu

et al. 2022

JTAER

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“…Yasmine et al [18] used the multi-agent modeling method to analyze the inventory of agricultural products in the supply chain in detail. Zhang et al [19] proposed a two-stage layout optimization model of agricultural product joint distribution centers based on the geographical features of remote rural areas.…”

Section: Research On Logistics Industrymentioning

confidence: 99%

Study in Driving Strategy and Analysis of Sustainable and Symbiosis Development Relationship between Agricultural Industrial Clusters and Agricultural Logistics Industry

Jiang

et al. 2021

Sustainability

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Due to a lack of profound disclosure of the internal mechanism for the symbiotic development of agricultural industrial clusters and agricultural logistics industry, the current study finds it difficult to form specific and implementable driving countermeasures well. Quantitative research on their symbiotic development and evolution is an important method to promote the further development of agricultural industry and agricultural logistics industry. In this paper, the factors affecting the sustainable symbiotic development relationship are analyzed between agricultural industry clusters and agricultural logistics industry with explanatory structural equation, and a system-driving model is constructed for the symbiotic development of agricultural enterprise clusters and agricultural logistics industry. The analysis indicated that, for the symbiotic development of agricultural enterprise clusters and agricultural logistics industry, the macro policy orientation is the fundamental driving force and the symbiotic development effect is its final result. Seven driving paths are refined, and the relevant countermeasures to promote the sustainable development of agricultural industrial clusters and agricultural logistics industry are put forward one at a time.

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RETRACTED ARTICLE: Research and design of fresh agricultural product distribution service model and framework using IoT technology

Chen

Yang

2021

J Ambient Intell Human Comput

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Two-Stage Optimization Model of Agricultural Product Distribution in Remote Rural Areas

Cited by 7 publications

References 37 publications

Location Optimization of Offline Physical Stores Based on MNL Model under BOPS Omnichannel

Location Optimization of Offline Physical Stores Based on MNL Model under BOPS Omnichannel

Study in Driving Strategy and Analysis of Sustainable and Symbiosis Development Relationship between Agricultural Industrial Clusters and Agricultural Logistics Industry

RETRACTED ARTICLE: Research and design of fresh agricultural product distribution service model and framework using IoT technology

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