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      Protecting vulnerable people during pandemics through home delivery of essential supplies: a distribution logistics model

      , ,
      Journal of Humanitarian Logistics and Supply Chain Management
      Emerald

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          Abstract

          Purpose

          This paper studies a concept for protecting vulnerable population groups during pandemics using direct home deliveries of essential supplies, from a distribution logistics perspective. The purpose of this paper is to evaluate feasible and resource-efficient home delivery strategies, including collaboration between retailers and logistics service providers based on a practical application.

          Design/methodology/approach

          A food home delivery concept in urban areas during pandemics is mathematically modeled. All seniors living in a district of Berlin, Germany, represent the vulnerable population supplied by a grocery distribution center. A capacitated vehicle routing problem (CVRP) is developed in combination with a k-means clustering algorithm. To manage this large-scale problem efficiently, mixed-integer programming (MIP) is used. The impact of collaboration and additional delivery scenarios is examined with a sensitivity analysis.

          Findings

          Roughly 45 medically vulnerable persons can be served by one delivery vehicle in the baseline scenario. Operational measures allow a drastic decrease in required resources by reducing service quality. In this way, home delivery for the vulnerable population of Berlin can be achieved. This requires collaboration between grocery and parcel services and public authorities as well as overcoming accompanying challenges.

          Originality/value

          Developing a home delivery concept for providing essential goods to urban vulnerable groups during pandemics creates a special value. Setting a large-scale CVRP with variable fleet size in combination with a clustering algorithm contributes to the originality.

          Related collections

          Most cited references58

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          Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis

          Highlights • COVID -19 cases are now confirmed in multiple countries. • Assessed the prevalence of comorbidities in infected patients. • Comorbidities are risk factors for severe compared with non-severe patients. • Help the health sector guide vulnerable populations and assess the risk of deterioration.
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            Covid-19: risk factors for severe disease and death

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              The Truck Dispatching Problem

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Journal of Humanitarian Logistics and Supply Chain Management
                JHLSCM
                Emerald
                2042-6747
                February 18 2021
                May 04 2021
                February 18 2021
                May 04 2021
                : 11
                : 2
                : 227-247
                Article
                10.1108/JHLSCM-07-2020-0062
                1d22d7c3-5f01-4f05-8068-4f191f4624f5
                © 2021

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