Integrated supplier selection, scheduling, and routing problem for perishable product supply chain: A distributionally robust approach

Hashemi-Amiri, Omid; Ghorbani, Fahimeh; Ji, Ran

doi:10.1016/j.cie.2022.108845

Cited by 49 publications

(9 citation statements)

References 70 publications

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“…However, this method can only generate weight intervals. The LPOA, as an important component of operations research, is nowadays widely used in optimization problems of aerospace [22], food supply chains [23] and energy supply [24]. The basic principle is setting objective function and constraints, so as to solve for the extreme value of the objective function within the constraints.…”

Section: Proposed Methodsmentioning

confidence: 99%

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A combination weighting method for debris flow risk assessment based on t-distribution and linear programming optimization algorithm

Li,

Lin,

Qiang

et al. 2024

PLoS ONE

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Debris flow risk assessment can provide some reference for debris flow prevention and control projects. In risk assessment, researchers often only focus on the impact of objective or subjective indicators. For this purpose, this paper proposed a weight calculation method based on t-distribution and linear programming optimization algorithm (LPOA). Taking 72 mudslides in Beichuan County as an example, this paper used analytic hierarchy process (AHP), entropy weight method (EWM) and variation coefficient method (VCM) to obtain the initial weights. Based on the initial weights, weight intervals with different confidence levels were obtained by t-distribution. Subsequently, the final weights were obtained by LOPA in the 90% confidence interval. Finally, the final weights were used to calculate the risk score for each debris flow, thus delineating the level of risk for each debris flow. The results showed that this paper’s method can avoid overemphasizing the importance of a particular indicator compared to EWM and VCM. In contrast, EWM and VCM ignored the effect of debris flow frequency on debris flow risk. The assessment results showed that the 72 debris flows in Beichuan County were mainly dominated by moderate and light risks. Of these, there were 8 high risk debris flows, 24 medium risk debris flows, and 40 light risk debris flows. The excellent triggering conditions provide favorable conditions for the formation of high-risk debris flows. Slightly and moderate risk debris flows are mainly located on both sides of highways and rivers, still posing a minor threat to Beichuan County. The proposed fusion weighting method effectively avoids the limitations of single weight calculating method. Through comparison and data analysis, the rationality of the proposed method is verified, which can provide some reference for combination weighting method and debris flow risk assessment.

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Section: Proposed Methodsmentioning

confidence: 99%

“…The results showed that the model is effective in saving program costs. Hashemi-Amiri et al [23] constructed a bi-objective multi-level perishable food supply chain network based on LPOA. The results showed that this method can optimize the network economic effects and improve the raw material procurement reliability.…”

Section: Introductionmentioning

confidence: 99%

A combination weighting method for debris flow risk assessment based on t-distribution and linear programming optimization algorithm

Li,

Lin,

Qiang

et al. 2024

PLoS ONE

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show abstract

“…Different formulation and solution approaches have been explored, including stochastic programming, robust optimization, chance-constrained programming, data forecast, and machine learning-assisted algorithms to address these uncertainties in modeling and in the case of incomplete data. (Hashemi-Amiri et al, 2023;Savku & Weber, 2018;Weber et al, 2009).…”

Section: Literature Reviewmentioning

confidence: 99%

An allocation-routing optimization model for integrated solid waste management

Hashemi-Amiri¹,

Mohammadi²,

Rahmanifar³

et al. 2023

Expert Systems with Applications

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“…Global concerns regarding environmental issues have increased in recent decades, and organizations have sought to supplement environmental and greening ideas with Supply Chain (SC) practices ( Cheraghalipour et al, 2017 ). However, organizations must detect the negative impacts of current SCs, and reshape their processes in which handling environmental aspects, economic progress, and social upliftment are considered, and it also helps to adjust the efficiency of the businesses ( Hashemi-Amiri et al, 2022 ). Generally, SC can be grouped differently based on the flow of products throughout the system; however, the main categories are identified as forward, reverse, and closed-loop SCs ( Hajiaghaei-Keshteli et al, 2011 , Golmohamadi et al, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

The IoT-enabled sustainable reverse supply chain for COVID-19 Pandemic Wastes (CPW)

Mosallanezhad

Gholian-Jouybari

Cárdenas–Barrón

et al. 2023

Engineering Applications of Artificial Intelligence

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Integrated supplier selection, scheduling, and routing problem for perishable product supply chain: A distributionally robust approach

Cited by 49 publications

References 70 publications

A combination weighting method for debris flow risk assessment based on t-distribution and linear programming optimization algorithm

A combination weighting method for debris flow risk assessment based on t-distribution and linear programming optimization algorithm

An allocation-routing optimization model for integrated solid waste management

The IoT-enabled sustainable reverse supply chain for COVID-19 Pandemic Wastes (CPW)

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