{"data":{"id":"10.6084/m9.figshare.5634586","type":"dois","attributes":{"doi":"10.6084/m9.figshare.5634586","prefix":"10.6084","suffix":"m9.figshare.5634586","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Pedroso, Carolina Belotti","nameType":"Personal","givenName":"Carolina Belotti","familyName":"Pedroso","affiliation":[],"nameIdentifiers":[]},{"name":"Calache, Lucas Daniel Del Rosso","nameType":"Personal","givenName":"Lucas Daniel Del Rosso","familyName":"Calache","affiliation":[],"nameIdentifiers":[]},{"name":"Junior, Francisco Rodrigues Lima","nameType":"Personal","givenName":"Francisco Rodrigues Lima","familyName":"Junior","affiliation":[],"nameIdentifiers":[]},{"name":"Silva, Andrea Lago Da","nameType":"Personal","givenName":"Andrea Lago Da","familyName":"Silva","affiliation":[],"nameIdentifiers":[]},{"name":"Luiz César Ribeiro Carpinetti","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Proposal of a model for sales and operations planning (S\u0026amp;OP) maturity evaluation"}],"publisher":"SciELO journals","container":{},"publicationYear":2017,"subjects":[{"subject":"91099 Manufacturing Engineering not elsewhere classified","subjectScheme":"FOR"},{"subject":"FOS: Electrical engineering, electronic engineering, information engineering","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Electrical engineering, electronic engineering, information engineering","subjectScheme":"Fields of Science and Technology (FOS)"}],"contributors":[],"dates":[{"date":"2017-11-27","dateType":"Created"},{"date":"2017-11-29","dateType":"Updated"},{"date":"2017","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.1590/0103-6513.20170024","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["417312 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Abstract A successful S\u0026amp;OP implementation can bring many benefits to organizations, and after its implementation, the S\u0026amp;OP process can evolve and reach higher levels of maturity. Considering that, only through a measurement system, goals and benefits can be achieved, thus, it is essential to assess S\u0026amp;OP maturity level. Many papers on literature adopt a quantitative perspective on S\u0026amp;OP, but just few of them deal with uncertainty present in S\u0026amp;OP decision-making, such as maturity model assessment process that carries subjectivity and uncertainty. Thus, this study proposes a decision making model based on fuzzy theory to evaluate and to categorize S\u0026amp;OP maturity levels and to suggest strategies to increase S\u0026amp;OP maturity. A pilot application was conducted in two manufacturing organizations that have implemented the S\u0026amp;OP process. The results, according to the performance presented, suggest different actions must be taken in terms of ensuring enablers to S\u0026amp;OP 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