A mixed integer robust programming model for two-echelon inventory routing problem of perishable products

Ji, Ying; Du, Jianhui; Han, Xiaoya; Xiao-qing, WU; Huang, Ripeng; Wang, Shilei; Liu, Zhimin

doi:10.1016/j.physa.2020.124481

Cited by 35 publications

(16 citation statements)

References 47 publications

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“…While a number of studies concentrate on mitigation strategies, studies have attempted to improve supply chain efficiency through different methods, such as enhanced supply chain management [21,22], optimized distribution networks [23,24], enhanced monitoring [24], increased traceability [23,25], reduced logistics costs [26,27], waste management [26], and sustainability [28]. Even though previous research provides suggestions on how to mitigate the risk of FLW and shows an increasing trend in concentrating on sustainability and sustainable solutions as a good way to release FLW [29], practically, LSPs face specific FLW risks that are not easily addressed.…”

Section: Literature Reviewmentioning

confidence: 99%

A Systematic Review of Factors Affecting Food Loss and Waste and Sustainable Mitigation Strategies: A Logistics Service Providers’ Perspective

2021

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This study investigates the causes of food loss and waste (FLW) from the perspective of logistics service providers (LSPs) and provides sustainable options for the Chinese market. To this end, this study reviews the literature on FLW and cold chain logistics published from 2008–2021. Until recently, little attention has been paid to understanding FLW drivers from the LSP perspective. This critical systematic literature review (SLR) aims to identify the potential drivers of FLW and provide a coherent and integrated knowledge base regarding these factors. A configurative SLR was performed, and after a filtering process, 43 articles were analyzed. Potential factors were identified and categorized into four groups: (i) poor management, (ii) inappropriate operational practices, (iii) high cost, and (iv) restrictions. The results reveal that technical inefficiency and facility costs are the most serious risks, and the lack of legislation and standards constitutes the second most serious risk for FLW. Sustainable solutions are recommended to address these risks. Finally, the study findings provide guidance for LSPs to achieve sustainability in social, economic, and ecological dimensions.

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Section: Literature Reviewmentioning

confidence: 99%

A Systematic Review of Factors Affecting Food Loss and Waste and Sustainable Mitigation Strategies: A Logistics Service Providers’ Perspective

2021

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“…A mixed integer programming for two-echelon inventory routing problem of perishable products 2020 Wang et al [26] CPLEX Place of loading and unloading, the amount of loading / unloading cannot be greater than the floating capacity and the capacity of the port, the amount of loading and unloading must be equal, etc.…”

Section: Costs Minimizationmentioning

confidence: 99%

Proposing a model for a resilient supply chain: A meta-heuristic algorithm

Shafaghizadeh

Ebrahimnejad

Mehrdad

et al. 2021

IJE

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“…Zhang et al [40] studied vehicle routing problems with time windows using RO and proposed a new decision criterion. Ji et al [41] built a mixedinteger robust programming model to solve the two-echelon inventory routing problem of perishable products. In combination with deep learning, Ning and You [42] proposed a data-driven robust optimization framework and applied it to the supply chain.…”

Section: Introductionmentioning

confidence: 99%

Robust Minimum Cost Consensus Model for Multicriteria Decision‐Making under Uncertain Circumstances

Dai

Zhang

et al. 2022

Discrete Dynamics in Nature and Society

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Recently, the consensus model of group decision-making in uncertain circumstances has received extensive attention. Existing models focus on either minimum cost (maintain the total budget) or maximum utility (improve satisfaction). Based on the minimum cost consensus model, a new multicriteria robust minimum cost consensus model with utility preference is proposed in this paper. Firstly, considering the inherent uncertainty of input data, the unit adjustment cost of experts is described under three robust scenarios. Subsequently, a cost consensus model that expresses the views of decision-makers in a variety of uncertain preference forms such as utility function and Gaussian distribution is proposed. Finally, through the application in emergency decision-making, the cost model and the utility model were compared and analyzed to verify the effectiveness and superiority of the proposed model.

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A mixed integer robust programming model for two-echelon inventory routing problem of perishable products

Cited by 35 publications

References 47 publications

A Systematic Review of Factors Affecting Food Loss and Waste and Sustainable Mitigation Strategies: A Logistics Service Providers’ Perspective

A Systematic Review of Factors Affecting Food Loss and Waste and Sustainable Mitigation Strategies: A Logistics Service Providers’ Perspective

Proposing a model for a resilient supply chain: A meta-heuristic algorithm

Robust Minimum Cost Consensus Model for Multicriteria Decision‐Making under Uncertain Circumstances

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