Metrics for data accuracy improvement in a production scheduling software: An application in the Brazilian Meat Industry

Title: Metrics for data accuracy improvement in a production scheduling software: An application in the Brazilian Meat Industry.

Abstract: This study aims to develop a method for improving the data accuracy of a specific production scheduling software for the meat industry. The proposed method was based on the results obtained in the implementation phase of the scheduling tool in Empresa Alfa, that produces food based on chickens, turkeys and porks. The research method used was a case study, by means of which the influence of data accuracy on the information generated by the system during the project is reported and analysed. The development of the proposed method was based on the theoretical framework on production scheduling, data quality and information quality, the author's perceptions about the project which was applied in the case study and the contributions of experts in the subject of the work. The method was structured in processes and subprocesses, hierarchy that enabled the implementation of the objectives of each process regarding the data accuracy in stages (subprocesses). 

Journal: African Journal of Business Management, v. 7, p. 769-779, 2013.

Authors: Luis Henrique Rodrigues, Daniel Pacheco Lacerda, Ricardo Augusto Cassel, Eduardo Scherer Rucker.


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