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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Coronavirus</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Dominio científico: Coronavirus</text>
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    <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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          <name>Title</name>
          <description>A name given to the resource</description>
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              <text>Application of Lateral Transshipment in Cost Reduction of Decentralized Systems</text>
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          <name>Creator</name>
          <description>An entity primarily responsible for making the resource</description>
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            <elementText elementTextId="37959">
              <text>Jun Li, Ying Li, Yi Liao, Wen-Jing Shen, Xinxin Hu</text>
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          <name>Description</name>
          <description>An account of the resource</description>
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              <text>COVID-19 has exposed the global supply chains to great vulnerability. In such extreme circumstances, product availability becomes a primary concern. This paper studies a basic inventory management strategy—lateral transshipment—under decentralized systems, which may play an important role in dealing with stockouts during unexpected crises. Lateral transshipments not only react quickly to stockout, but are also environmentally friendly due to the significant reduction of production and transportation pollution. This paper studies optimal lateral transshipment and replenishment decisions under a decentralized setting. We construct a multi-stage stochastic model that captures demand uncertainty and customer switching behavior. We demonstrate that, similar to the centralized setting, the optimal transshipment decision follows a double-threshold structure. The optimal replenishment quantities are determined under two pricing mechanisms—individual mechanism (IP) and negotiated mechanism (NP). Numerical examples are provided to demonstrate the impact of lateral transshipment on supply chain cost reduction.</text>
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          <name>Date</name>
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              <text>2020</text>
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          <name>Subject</name>
          <description>The topic of the resource</description>
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              <text>sustainability, Supply Chain Management, Lateral transshipment, random switching</text>
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          <name>Identifier</name>
          <description>An unambiguous reference to the resource within a given context</description>
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              <text>DOI: 10.3390/su12125081</text>
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          <name>Source</name>
          <description>A related resource from which the described resource is derived</description>
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              <text>Sustainability</text>
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          <name>Publisher</name>
          <description>An entity responsible for making the resource available</description>
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              <text>MDPI AG</text>
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          <name>Coverage</name>
          <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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            <elementText elementTextId="37966">
              <text>Environmental sciences, Renewable energy sources, Environmental effects of industries and plants</text>
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