Material Flow Optimization in By-product Synergy Networks
Summary By‐product synergy (BPS) is an industrial ecology practice that involves utilization of industrial by‐products as feedstocks for other industrial processes. A novel decision support tool is developed to analyze BPS networks that involve material processing and transport among regional cluste...
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| Veröffentlicht in: | Journal of industrial ecology 2011-04, Vol.15 (2), p.315-332 |
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| container_title | Journal of industrial ecology |
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| creator | Cimren, Emrah Fiksel, Joseph Posner, Marc E. Sikdar, Kieran |
| description | Summary
By‐product synergy (BPS) is an industrial ecology practice that involves utilization of industrial by‐products as feedstocks for other industrial processes. A novel decision support tool is developed to analyze BPS networks that involve material processing and transport among regional clusters of companies. Mathematical programming techniques are used to determine the optimal network design and the material flows that minimize total cost or environmental impacts. This methodology is incorporated into a graphical software package called Eco‐Flow™. The tool has been applied to model and analyze available synergies in an existing BPS network centered in Kansas City, Missouri. A base case, which assumes no synergies, is compared with the optimal BPS solution found by Eco‐Flow™. The results for Kansas City suggest that when companies in the network cooperate to optimize the system profitability, up to $15 million per year of savings are possible. The findings also indicate that the BPS approach would result in 29% reduction in total cost, 25.8% reduction in average company cost, 30% reduction in carbon dioxide (CO2) emissions, and 37% reduction in waste to landfill. The modeling approach is being extended to better represent the dynamics of industrial and ecological processes. |
| doi_str_mv | 10.1111/j.1530-9290.2010.00310.x |
| format | Article |
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By‐product synergy (BPS) is an industrial ecology practice that involves utilization of industrial by‐products as feedstocks for other industrial processes. A novel decision support tool is developed to analyze BPS networks that involve material processing and transport among regional clusters of companies. Mathematical programming techniques are used to determine the optimal network design and the material flows that minimize total cost or environmental impacts. This methodology is incorporated into a graphical software package called Eco‐Flow™. The tool has been applied to model and analyze available synergies in an existing BPS network centered in Kansas City, Missouri. A base case, which assumes no synergies, is compared with the optimal BPS solution found by Eco‐Flow™. The results for Kansas City suggest that when companies in the network cooperate to optimize the system profitability, up to $15 million per year of savings are possible. The findings also indicate that the BPS approach would result in 29% reduction in total cost, 25.8% reduction in average company cost, 30% reduction in carbon dioxide (CO2) emissions, and 37% reduction in waste to landfill. The modeling approach is being extended to better represent the dynamics of industrial and ecological processes.</description><identifier>ISSN: 1088-1980</identifier><identifier>EISSN: 1530-9290</identifier><identifier>DOI: 10.1111/j.1530-9290.2010.00310.x</identifier><language>eng</language><publisher>Malden, USA: Blackwell Publishing Inc</publisher><subject>Cost control ; industrial ecology ; industrial symbiosis ; industrial waste management ; Industrial wastes ; Integer programming ; Mathematical programming ; mixed integer programming ; network flows ; Resource recovery ; Studies ; Waste materials ; waste to profit</subject><ispartof>Journal of industrial ecology, 2011-04, Vol.15 (2), p.315-332</ispartof><rights>2011 by Yale University</rights><rights>Copyright MIT Press Journals Apr 2011</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3780-88471b66a6276206f8c0a6b41f5456211bb82410d668499cf79a08a8b62a31583</citedby><cites>FETCH-LOGICAL-c3780-88471b66a6276206f8c0a6b41f5456211bb82410d668499cf79a08a8b62a31583</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fj.1530-9290.2010.00310.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1530-9290.2010.00310.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Cimren, Emrah</creatorcontrib><creatorcontrib>Fiksel, Joseph</creatorcontrib><creatorcontrib>Posner, Marc E.</creatorcontrib><creatorcontrib>Sikdar, Kieran</creatorcontrib><title>Material Flow Optimization in By-product Synergy Networks</title><title>Journal of industrial ecology</title><description>Summary
By‐product synergy (BPS) is an industrial ecology practice that involves utilization of industrial by‐products as feedstocks for other industrial processes. A novel decision support tool is developed to analyze BPS networks that involve material processing and transport among regional clusters of companies. Mathematical programming techniques are used to determine the optimal network design and the material flows that minimize total cost or environmental impacts. This methodology is incorporated into a graphical software package called Eco‐Flow™. The tool has been applied to model and analyze available synergies in an existing BPS network centered in Kansas City, Missouri. A base case, which assumes no synergies, is compared with the optimal BPS solution found by Eco‐Flow™. The results for Kansas City suggest that when companies in the network cooperate to optimize the system profitability, up to $15 million per year of savings are possible. The findings also indicate that the BPS approach would result in 29% reduction in total cost, 25.8% reduction in average company cost, 30% reduction in carbon dioxide (CO2) emissions, and 37% reduction in waste to landfill. The modeling approach is being extended to better represent the dynamics of industrial and ecological processes.</description><subject>Cost control</subject><subject>industrial ecology</subject><subject>industrial symbiosis</subject><subject>industrial waste management</subject><subject>Industrial wastes</subject><subject>Integer programming</subject><subject>Mathematical programming</subject><subject>mixed integer programming</subject><subject>network flows</subject><subject>Resource recovery</subject><subject>Studies</subject><subject>Waste materials</subject><subject>waste to profit</subject><issn>1088-1980</issn><issn>1530-9290</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNqNkFtPwjAUgBujiYj-h8X3YS9bLw8-CAJiEKJi9K3pRmc6YMN2BOavt3OGZ_twenJ6vnOaD4AAwR7y5ybvoZjAUGABexj6KoTEx8MJ6BwfTn0OOQ-R4PAcXDiXQ4gIxbADxJOqtDVqHYzW5T6YbyuzMd-qMmURmCLo1-HWlstdWgWvdaHtZx3MdLUv7cpdgrNMrZ2--ru74G00XAwewul8PBncTcOUMA5DziOGEkoVxcxvpBlPoaJJhLI4iilGKEk4jhBcUsojIdKMCQW54gnFiqCYky64buf6j3zttKtkXu5s4VdKgRiJKYmYb-JtU2pL56zO5NaajbK1RFA2nmQuGx2y0SEbT_LXkzx49LZF92at639z8nEyHPjM82HLG1fpw5FXdiUpIyyW77OxjPrPC4I_7uUL-QHkn3rE</recordid><startdate>201104</startdate><enddate>201104</enddate><creator>Cimren, Emrah</creator><creator>Fiksel, Joseph</creator><creator>Posner, Marc E.</creator><creator>Sikdar, Kieran</creator><general>Blackwell Publishing Inc</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>8BJ</scope><scope>C1K</scope><scope>FQK</scope><scope>JBE</scope><scope>SOI</scope></search><sort><creationdate>201104</creationdate><title>Material Flow Optimization in By-product Synergy Networks</title><author>Cimren, Emrah ; Fiksel, Joseph ; Posner, Marc E. ; Sikdar, Kieran</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3780-88471b66a6276206f8c0a6b41f5456211bb82410d668499cf79a08a8b62a31583</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Cost control</topic><topic>industrial ecology</topic><topic>industrial symbiosis</topic><topic>industrial waste management</topic><topic>Industrial wastes</topic><topic>Integer programming</topic><topic>Mathematical programming</topic><topic>mixed integer programming</topic><topic>network flows</topic><topic>Resource recovery</topic><topic>Studies</topic><topic>Waste materials</topic><topic>waste to profit</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cimren, Emrah</creatorcontrib><creatorcontrib>Fiksel, Joseph</creatorcontrib><creatorcontrib>Posner, Marc E.</creatorcontrib><creatorcontrib>Sikdar, Kieran</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>Environment Abstracts</collection><jtitle>Journal of industrial ecology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cimren, Emrah</au><au>Fiksel, Joseph</au><au>Posner, Marc E.</au><au>Sikdar, Kieran</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Material Flow Optimization in By-product Synergy Networks</atitle><jtitle>Journal of industrial ecology</jtitle><date>2011-04</date><risdate>2011</risdate><volume>15</volume><issue>2</issue><spage>315</spage><epage>332</epage><pages>315-332</pages><issn>1088-1980</issn><eissn>1530-9290</eissn><abstract>Summary
By‐product synergy (BPS) is an industrial ecology practice that involves utilization of industrial by‐products as feedstocks for other industrial processes. A novel decision support tool is developed to analyze BPS networks that involve material processing and transport among regional clusters of companies. Mathematical programming techniques are used to determine the optimal network design and the material flows that minimize total cost or environmental impacts. This methodology is incorporated into a graphical software package called Eco‐Flow™. The tool has been applied to model and analyze available synergies in an existing BPS network centered in Kansas City, Missouri. A base case, which assumes no synergies, is compared with the optimal BPS solution found by Eco‐Flow™. The results for Kansas City suggest that when companies in the network cooperate to optimize the system profitability, up to $15 million per year of savings are possible. The findings also indicate that the BPS approach would result in 29% reduction in total cost, 25.8% reduction in average company cost, 30% reduction in carbon dioxide (CO2) emissions, and 37% reduction in waste to landfill. The modeling approach is being extended to better represent the dynamics of industrial and ecological processes.</abstract><cop>Malden, USA</cop><pub>Blackwell Publishing Inc</pub><doi>10.1111/j.1530-9290.2010.00310.x</doi><tpages>18</tpages></addata></record> |
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| identifier | ISSN: 1088-1980 |
| ispartof | Journal of industrial ecology, 2011-04, Vol.15 (2), p.315-332 |
| issn | 1088-1980 1530-9290 |
| language | eng |
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| source | Wiley Journals |
| subjects | Cost control industrial ecology industrial symbiosis industrial waste management Industrial wastes Integer programming Mathematical programming mixed integer programming network flows Resource recovery Studies Waste materials waste to profit |
| title | Material Flow Optimization in By-product Synergy Networks |
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