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

Abbasi, Sina; Vlachos, Ilias; Samadzadeh, Ali; Etemadifar, Shayan; Afshar, Mohamad; Amra, Mohsen

doi:10.3390/logistics8010032

Cited by 7 publications

(3 citation statements)

References 52 publications

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“…By providing a simple and secure solution for package delivery and collection, automated smart parcel lockers play an important role in the supply chain [66]. These lockers are strategically placed throughout various neighborhoods and public spaces, making them accessible to both shops and customers.…”

Section: Supply Chain For Automated Smart Lockers For Parcelsmentioning

confidence: 99%

Optimizing Last-Mile Delivery: A Multi-Criteria Approach with Automated Smart Lockers, Capillary Distribution and Crowdshipping

Sawik

2024

Logistics

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Background: This publication presents a review, multiple criteria optimization models, and a practical example pertaining to the integration of automated smart locker systems, capillary distribution networks, crowdshipping, last-mile delivery and supply chain management. This publication addresses challenges in logistics and transportation, aiming to enhance efficiency, reduce costs and improve customer satisfaction. This study integrates automated smart locker systems, capillary distribution networks, crowdshipping, last-mile delivery and supply chain management. Methods: A review of the existing literature synthesizes key concepts, such as facility location problems, vehicle routing problems and the mathematical programming approach, to optimize supply chain operations. Conceptual optimization models are formulated to solve the complex decision-making process involved in last-mile delivery, considering multiple objectives, including cost minimization, delivery time optimization, service level minimization, capacity optimization, vehicle minimization and resource utilization. Results: The multiple criteria approaches combine the vehicle routing problem and facility location problem, demonstrating the practical applicability of the proposed methodology in a real-world case study within a logistics company. Conclusions: The execution of multi-criteria models optimizes automated smart locker deployment, capillary distribution design, crowdshipping and last-mile delivery strategies, showcasing its effectiveness in the logistics sector.

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Section: Supply Chain For Automated Smart Lockers For Parcelsmentioning

confidence: 99%

Optimizing Last-Mile Delivery: A Multi-Criteria Approach with Automated Smart Lockers, Capillary Distribution and Crowdshipping

Sawik

2024

Logistics

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“…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). A study was conducted on the hybrid meta-heuristic approach for the multi-fleet feeder vehicle routing problem by Sarbijan and Behnamian [53,54].…”

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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“…Using the COVID-19 pandemic when designing the location-routing problem for a cold SC (93). In the COVID-19 Era, Abbasi et al (94) examined the model for financial SCNs. COVID-19 medical waste SCN, a fuzzy sustainable model (95).…”

mentioning

confidence: 99%

Environmental impact assessment with rapid impact assessment matrix method: during disaster conditions

Abbasi,

Modibbo,

Jafari Kolashlou

et al. 2024

Front. Appl. Math. Stat.

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In the last several decades, Iran’s ecosystem has suffered due to the careless usage of natural resources. Cities have grown in an uneven and non-normative way, and poor project management has been a major issue, particularly in large cities. An even greater number of environmental factors and engineering regulations are not relevant to projects. Because of this, in order to ascertain a project’s environmental impact, an environmental impact assessment (EIA), is required. Using the rapid impact assessment matrix (RIAM) is one method of applying it to EIA. Reducing subjectivity brings objectivity and transparency. During the COVID-19 pandemic, a thorough EIA was carried out for the Tehran project utilizing the RIAM and other possibilities. This research is the first to combine the methodology that was discussed during the incident. Through the use of the RIAM technique, the environmental impact of COVID-19 was to be quantified in this inquiry. The research examined lockdown procedures and the COVID-19 pandemic to create an EIA indicator. In a real-world case study conducted in Tehran, Iran, the impact of the initiative was evaluated using the RIAM methodology during the COVID-19 epidemic. The results demonstrated that COVID-19 had both beneficial and harmful effects. Decision-makers were effectively informed about the COVID-19 pandemic’s environmental consequences on people and the environment, as well as how to minimize negative effects, according to the EIA technique that used RIAM. This is the first research to integrate the EIA during a crisis, such as the COVID-19 pandemic, with the RIAM approach.

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

Cited by 7 publications

References 52 publications

Optimizing Last-Mile Delivery: A Multi-Criteria Approach with Automated Smart Lockers, Capillary Distribution and Crowdshipping

Optimizing Last-Mile Delivery: A Multi-Criteria Approach with Automated Smart Lockers, Capillary Distribution and Crowdshipping

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

Environmental impact assessment with rapid impact assessment matrix method: during disaster conditions

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