Proposal of a model for sales and operations planning (S&OP) maturity evaluation

• Main Authors: Carolina Belotti Pedroso, Lucas Daniel Del Rosso Calache, Francisco Rodrigues Lima Junior, Andrea Lago da Silva, Luiz César Ribeiro Carpinetti
• Format: Article
• Language: English
• Published: Associação Brasileira de Engenharia de Produção (ABEPRO) 2017-11-01
• Series: Production
• Subjects: Sales and operations planning; Maturity model; Fuzzy inference; Fuzzy set theory
• Online Access: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132017000100328&lng=en&tlng=en

Abstract A successful S&OP implementation can bring many benefits to organizations, and after its implementation, the S&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&OP maturity level. Many papers on literature adopt a quantitative perspective on S&OP, but just few of them deal with uncertainty present in S&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&OP maturity levels and to suggest strategies to increase S&OP maturity. A pilot application was conducted in two manufacturing organizations that have implemented the S&OP process. The results, according to the performance presented, suggest different actions must be taken in terms of ensuring enablers to S&OP implementation.