Designing the Location–Routing Problem for a Cold Supply Chain Considering the COVID-19 Disaster

Abbasi, Sina; Moosivand, Maryam; Vlachos, Ilias; Talooni, Mohammad

doi:10.3390/su152115490

Cited by 13 publications

(6 citation statements)

References 52 publications

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“…Additionally, Abbasi et al [41] assessed the issue of utilising cash management integration to identify ideal operations. They view the issue as nonlinear and suggest a method for locating the best answer during COVID-19.…”

Section: Scn Considering the Financial Flowmentioning

confidence: 99%

Modelling a Logistics and Financial Supply Chain Network during the COVID-19 Era

Abbasi,

Vlachos,

Samadzadeh

et al. 2024

Logistics

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Background: Supply chain networks (SCNs) have been interrupted by the COVID-19 pandemic, leaving them open to financial losses. SCs have been impacted by the pandemic, necessitating the adoption of sustainable practices and dynamic capacities to ensure resilience and performance. Several studies have focused on this subject, offering insights into the importance of sustainable supply-chain management, corporate governance, big data management activities, and digital technology in minimising the consequences of the pandemic and fostering sustainability. Methods: This study suggests an analytical framework for assessing environmentally friendly procedures and dynamic capacities to assure performance in a disruptive environment. Results: The following are some of the important details and contributions in this article: (1) developed a conceptual framework for assessing dynamic capacities and sustainable behaviours considering COVID-19, (2) concentrates on financial ratios during COVID-19, and (3) established drivers for sustainable practices and competencies during disruption and unpredictable business settings. Conclusions: The suggested model can assist practitioners in creating and implementing sustainable supply chain (SC) activities and tracking and assessing their effects on the sustainability of businesses. So, the proposed model can assist managers in creating and implementing sustainable supply-chain activities and tracking and analysing their effects on the sustainability of businesses.

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Section: Scn Considering the Financial Flowmentioning

confidence: 99%

Modelling a Logistics and Financial Supply Chain Network during the COVID-19 Era

Abbasi,

Vlachos,

Samadzadeh

et al. 2024

Logistics

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“…A distribution network for necessities in the event of COVID-19 and earthquakes simultaneously was constructed [50]. The COVID-19 pandemic was considered when designing the location-routing problem for a cold supply chain [51]. Abbasi et al [52] simulated a COVID-19-era financial and logistical supply chain network (SCN).…”

Section: Research Backgroundmentioning

confidence: 99%

Designing a Sustainable Nonlinear Model Considering a Piecewise Function for Solving the Risk of Hazardous Material Routing-Locating Problem

Abbasi,

Ardeshir Nasabi,

Vlachos

et al. 2024

Sustainability

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The problem of lot sizing and vehicle routing are combined to form the production routing problem. The efficiency of this combination in cutting expenses has been studied in the past. To reduce the risk associated with the manufacturing and distribution of hazardous products, the production routing problem is examined in this study. Researchers are paying more attention to sustainability’s social and environmental aspects. Hazardous materials are bad for the environment and human health. Mishaps using these substances frequently have unfavorable long-term effects. Risk is a criterion for measuring hazards in activities involving these materials. A mixed integer program is used to simulate the problem. The suggested model’s nonlinear risk function is dependent on the machine’s load, population risk, and hazardous substance. A piecewise linear function approximates this function since solving the mathematical model with the nonlinear objective function is more difficult. Several cases were utilized in this study to assess the model, solve it, and contrast the two linear and nonlinear models. The outcomes demonstrate that the approximation model may obtain a more accurate result simultaneously. The impact of alterations to warehousing and production capacity on risk has also been examined through sensitivity analysis. Using a nonlinear mathematical model, this study suggested a production routing problem for hazardous materials based on sustainability requirements and solved the model using a piecewise linear approximation.

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“…Consequently, optimizing the location and distribution strategies of logistics is important for enhancing logistical efficiency and reducing carbon emissions. Recently, the problems of facility location and route optimization of cold chain logistics have been widely studied [6,7]. The continuous innovation of cold chain logistics has given birth to the novel business mode of front warehouses.…”

Section: Introductionmentioning

confidence: 99%

Location-Routing Optimization for Two-Echelon Cold Chain Logistics of Front Warehouses Based on a Hybrid Ant Colony Algorithm

Zhang,

Wang,

Zhang

2024

Mathematics

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Diverse demands have promoted the rapid development of the cold chain logistics industry. In the paper, a novel approach for calculating the comprehensive carbon emission cost was proposed and the front warehouse mode was analyzed under the background of energy conservation and emission reduction. To solve the two-echelon low-carbon location-routing problem (2E-LCLRP), a mathematical model considering operating cost, total transportation cost, fixed cost, refrigeration cost, cargo damage cost, and comprehensive carbon emission cost was proposed to determine the minimum total cost. A hybrid ant colony optimization (HACO) algorithm based on an elbow rule and an improved ant colony optimization (IACO) algorithm was proposed to solve the 2E-LCLRP. According to the elbow rule, the optimal number of front warehouses was determined and an IACO algorithm was then designed to optimize vehicle routes. An adaptive hybrid selection strategy and an optimized pheromone update mechanism were integrated into the HACO algorithm to accelerate convergence and obtain global optimal solutions. The proposed model and algorithm were verified through the case study of the 2E-LCLRP in Nanjing, China. The HACO algorithm outperformed the original ant colony optimization (ACO) algorithm in terms of convergence rate and solution quality. This study provides significant insights for enhancing heuristic algorithms as well as valuable research methods. Furthermore, the results can help cold chain logistics companies in balancing economic costs and environmental benefits and address cold chain distribution of agricultural products.

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Designing the Location–Routing Problem for a Cold Supply Chain Considering the COVID-19 Disaster

Cited by 13 publications

References 52 publications

Modelling a Logistics and Financial Supply Chain Network during the COVID-19 Era

Modelling a Logistics and Financial Supply Chain Network during the COVID-19 Era

Designing a Sustainable Nonlinear Model Considering a Piecewise Function for Solving the Risk of Hazardous Material Routing-Locating Problem

Location-Routing Optimization for Two-Echelon Cold Chain Logistics of Front Warehouses Based on a Hybrid Ant Colony Algorithm

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