Design of a supply chain network for chemicals from biomass using green electrochemistry
Increasing concern about the environmental impact of industrial activities has prompted a shift to renewable energy sources and the development of environmentally conscious supply chains. In this regard, electrochemistry has shown promise for converting biomass into specialty chemicals in distribute...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-03-01
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| Series: | Cleaner Logistics and Supply Chain |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772390923000410 |
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| author | Motahareh Kashanian Sarah M. Ryan |
| author_facet | Motahareh Kashanian Sarah M. Ryan |
| author_sort | Motahareh Kashanian |
| collection | DOAJ |
| description | Increasing concern about the environmental impact of industrial activities has prompted a shift to renewable energy sources and the development of environmentally conscious supply chains. In this regard, electrochemistry has shown promise for converting biomass into specialty chemicals in distributed facilities that exploit renewable energy resources. To examine the impact of electrochemistry technology on optimal supply chain configuration, we formulate a mixed-integer linear programming model to optimize the locations and capacities of distributed facilities for converting biomass to chemicals. The economic objective of the supply chain design model is to minimize the total annual cost of producing chemicals from biomass-derived glucose and delivering them to market. To analyze the trade-off between environmental and economic considerations, we also consider an environmental objective of minimizing greenhouse gas (GHG) emissions. The results of a US case study indicate that, while cost is minimized by constructing one large facility, GHG emissions are lowered by a distributed configuration. Varying the setting of a process design parameter expands the Pareto frontier along which decision-makers can choose a configuration according to their preferences between economic and environmental criteria. |
| format | Article |
| id | doaj-art-282424a411534ee7a5db97a3a1b34e6f |
| institution | Kabale University |
| issn | 2772-3909 |
| language | English |
| publishDate | 2024-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Cleaner Logistics and Supply Chain |
| spelling | doaj-art-282424a411534ee7a5db97a3a1b34e6f2024-11-24T04:14:24ZengElsevierCleaner Logistics and Supply Chain2772-39092024-03-0110100132Design of a supply chain network for chemicals from biomass using green electrochemistryMotahareh Kashanian0Sarah M. Ryan1Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA, USACorresponding author.; Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA, USAIncreasing concern about the environmental impact of industrial activities has prompted a shift to renewable energy sources and the development of environmentally conscious supply chains. In this regard, electrochemistry has shown promise for converting biomass into specialty chemicals in distributed facilities that exploit renewable energy resources. To examine the impact of electrochemistry technology on optimal supply chain configuration, we formulate a mixed-integer linear programming model to optimize the locations and capacities of distributed facilities for converting biomass to chemicals. The economic objective of the supply chain design model is to minimize the total annual cost of producing chemicals from biomass-derived glucose and delivering them to market. To analyze the trade-off between environmental and economic considerations, we also consider an environmental objective of minimizing greenhouse gas (GHG) emissions. The results of a US case study indicate that, while cost is minimized by constructing one large facility, GHG emissions are lowered by a distributed configuration. Varying the setting of a process design parameter expands the Pareto frontier along which decision-makers can choose a configuration according to their preferences between economic and environmental criteria.http://www.sciencedirect.com/science/article/pii/S2772390923000410Chemical supply chainSupply chain network designMixed-integer programmingElectrochemistry |
| spellingShingle | Motahareh Kashanian Sarah M. Ryan Design of a supply chain network for chemicals from biomass using green electrochemistry Cleaner Logistics and Supply Chain Chemical supply chain Supply chain network design Mixed-integer programming Electrochemistry |
| title | Design of a supply chain network for chemicals from biomass using green electrochemistry |
| title_full | Design of a supply chain network for chemicals from biomass using green electrochemistry |
| title_fullStr | Design of a supply chain network for chemicals from biomass using green electrochemistry |
| title_full_unstemmed | Design of a supply chain network for chemicals from biomass using green electrochemistry |
| title_short | Design of a supply chain network for chemicals from biomass using green electrochemistry |
| title_sort | design of a supply chain network for chemicals from biomass using green electrochemistry |
| topic | Chemical supply chain Supply chain network design Mixed-integer programming Electrochemistry |
| url | http://www.sciencedirect.com/science/article/pii/S2772390923000410 |
| work_keys_str_mv | AT motaharehkashanian designofasupplychainnetworkforchemicalsfrombiomassusinggreenelectrochemistry AT sarahmryan designofasupplychainnetworkforchemicalsfrombiomassusinggreenelectrochemistry |