In practice, with the aim of achieving competitiveness, the industrial sector has the primary function of looking for ways to increase productive performance, improve the quality of products and processes, and reduce waste and production costs. An alternative to these strategies is the deployment of improvement projects, following the DMAIC structure of the Six Sigma approach. This study aimed to present the results of Lean Six Sigma implementation oriented to cost management. A case study was carried out in an agro-industrial cooperative, specifically, in the grain receipts department. The tools applied in the case study were: Requirements Tree; Charts Pareto and Stratification; Cause and Effect Diagram; Failure Mode and Effect Analysis; Statistical Process Control, and; Control Array, respectively. These tools are widely used in quality management and continuous improvement of industrial processes, mainly.
Prioritizing information technology (IT) projects for resource direction is a complex decision‐making process that involves the analysis of qualitative and subjective criteria. The uncertainty of the subjective and imprecise assessments derived from estimated data that represent the analyzed criteria characterizes the decision‐making process. To reduce the uncertainties related to IT project priority setting, we proposed a model based on a hybrid multicriteria method composed by the best–worst method to establish the weights of the criteria and fuzzy‐TOPSIS to define the project ranking. The model allows us (1) to define strategic subcriteria, (2) adjust the weights according to the company's reality, (3) to deal with the uncertainties of the evaluations of the decision makers, and (4) provide the project ranking that translates reality into the distribution of resources in the IT sector. Finally, we applied the model to a case study in the IT sector of a Brazilian agroindustrial cooperative. For the managers, the method provides a precise decision aiding tool. Although the model has been applied to the prioritization of IT projects in a cooperative, the same can be generalized to the IT sectors of other companies.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.