AN ASSIGNMENT APPROACH TO CHOOSING R&D EXPERIMENTS
ABSTRACT The criteria upon which R&D experiments are evaluated are subjective; therefore in practice it is extremely difficult to obtain a series of weights so that the trade‐offs between the various criterion can be analyzed. The problem is compounded when the experiments represent basic resear...
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Veröffentlicht in: | Decision sciences 1977-04, Vol.8 (2), p.489-501 |
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description | ABSTRACT
The criteria upon which R&D experiments are evaluated are subjective; therefore in practice it is extremely difficult to obtain a series of weights so that the trade‐offs between the various criterion can be analyzed. The problem is compounded when the experiments represent basic research and no prior history is available for utility estimation. This paper presents a graph‐theoretic interpretation of the selection process based only on the rank‐order of the alternatives thus eliminating the need for utility estimation. Index numbers are then obtained as the solution of an integer program. An application and the theoretical foundations of the procedure are discussed. |
doi_str_mv | 10.1111/j.1540-5915.1977.tb01097.x |
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The criteria upon which R&D experiments are evaluated are subjective; therefore in practice it is extremely difficult to obtain a series of weights so that the trade‐offs between the various criterion can be analyzed. The problem is compounded when the experiments represent basic research and no prior history is available for utility estimation. This paper presents a graph‐theoretic interpretation of the selection process based only on the rank‐order of the alternatives thus eliminating the need for utility estimation. Index numbers are then obtained as the solution of an integer program. An application and the theoretical foundations of the procedure are discussed.</description><identifier>ISSN: 0011-7315</identifier><identifier>EISSN: 1540-5915</identifier><identifier>DOI: 10.1111/j.1540-5915.1977.tb01097.x</identifier><identifier>CODEN: DESCDQ</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Assignment ; Criteria ; Decision making ; Experiments ; R&D ; Research & development</subject><ispartof>Decision sciences, 1977-04, Vol.8 (2), p.489-501</ispartof><rights>Copyright American Institute for Decision Sciences APR. 1977</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2999-2f5b2748de69335183543071dd57cf874dd27de2afb288f355f60d94265c86913</citedby><cites>FETCH-LOGICAL-c2999-2f5b2748de69335183543071dd57cf874dd27de2afb288f355f60d94265c86913</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.1540-5915.1977.tb01097.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1540-5915.1977.tb01097.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids></links><search><creatorcontrib>Bernardo, John J.</creatorcontrib><title>AN ASSIGNMENT APPROACH TO CHOOSING R&D EXPERIMENTS</title><title>Decision sciences</title><description>ABSTRACT
The criteria upon which R&D experiments are evaluated are subjective; therefore in practice it is extremely difficult to obtain a series of weights so that the trade‐offs between the various criterion can be analyzed. The problem is compounded when the experiments represent basic research and no prior history is available for utility estimation. This paper presents a graph‐theoretic interpretation of the selection process based only on the rank‐order of the alternatives thus eliminating the need for utility estimation. Index numbers are then obtained as the solution of an integer program. An application and the theoretical foundations of the procedure are discussed.</description><subject>Assignment</subject><subject>Criteria</subject><subject>Decision making</subject><subject>Experiments</subject><subject>R&D</subject><subject>Research & development</subject><issn>0011-7315</issn><issn>1540-5915</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1977</creationdate><recordtype>article</recordtype><recordid>eNqVkE1PwkAQhjdGExH9Dw0Hb6372d31Ypq1tDXYEorR26T0IwFRsIUI_942JdydyxzmfZ9JHoRGBDuknYeVQwTHttBEOERL6ewWmGAtncMFGpxPl2iAMSG2ZERco5umWWGMXcHZAFEvtrw0jYL41Y_nljedzhLPhNY8sUyYJGkUB9bs_tnyP6b-LOoy6S26qrJ1U96d9hC9jf25Ce1JEkTGm9g51VrbtBILKrkqSlczJohi7UMsSVEImVdK8qKgsihpVi2oUhUTonJxoTl1Ra5cTdgQjXrutt787MtmB6vNvv5uXwLRCnPKKWtDj30orzdNU5cVbOvlV1YfgWDoFMEKOg_QeYBOEZwUwaEtP_Xl3-W6PP6jCc--ibjSLcHuCctmVx7OhKz-BFcyKeA9DkC-GDMWQQiG_QEJ83ZE</recordid><startdate>197704</startdate><enddate>197704</enddate><creator>Bernardo, John J.</creator><general>Blackwell Publishing Ltd</general><general>American Institute for Decision Sciences</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7TB</scope><scope>8BJ</scope><scope>8FD</scope><scope>FQK</scope><scope>FR3</scope><scope>JBE</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>197704</creationdate><title>AN ASSIGNMENT APPROACH TO CHOOSING R&D EXPERIMENTS</title><author>Bernardo, John J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2999-2f5b2748de69335183543071dd57cf874dd27de2afb288f355f60d94265c86913</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1977</creationdate><topic>Assignment</topic><topic>Criteria</topic><topic>Decision making</topic><topic>Experiments</topic><topic>R&D</topic><topic>Research & development</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bernardo, John J.</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Technology Research Database</collection><collection>International Bibliography of the Social Sciences</collection><collection>Engineering Research Database</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Decision sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bernardo, John J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>AN ASSIGNMENT APPROACH TO CHOOSING R&D EXPERIMENTS</atitle><jtitle>Decision sciences</jtitle><date>1977-04</date><risdate>1977</risdate><volume>8</volume><issue>2</issue><spage>489</spage><epage>501</epage><pages>489-501</pages><issn>0011-7315</issn><eissn>1540-5915</eissn><coden>DESCDQ</coden><abstract>ABSTRACT
The criteria upon which R&D experiments are evaluated are subjective; therefore in practice it is extremely difficult to obtain a series of weights so that the trade‐offs between the various criterion can be analyzed. The problem is compounded when the experiments represent basic research and no prior history is available for utility estimation. This paper presents a graph‐theoretic interpretation of the selection process based only on the rank‐order of the alternatives thus eliminating the need for utility estimation. Index numbers are then obtained as the solution of an integer program. An application and the theoretical foundations of the procedure are discussed.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/j.1540-5915.1977.tb01097.x</doi><tpages>13</tpages></addata></record> |
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subjects | Assignment Criteria Decision making Experiments R&D Research & development |
title | AN ASSIGNMENT APPROACH TO CHOOSING R&D EXPERIMENTS |
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