Modelo diagnóstico para análise de maturidade da informação em cadeia de suprimentos inteligente

Abstract

The supply chain is an extensive process that involves the production, storage and transport of products and services, it defines part of the life cycle of a certain product and is in constant interaction with its business partners. These organizations, in turn, have different productive, organizational and technological structures and with characteristics that hinder these interactions. A supply chain can be more connected as data and information processing are clear to all decision makers and through them it is possible to justify investment strategies and technology prioritization. Identifying the maturity level of data is an important way to attach deficits and improvement of the process. In this paper, data management within the supply chain of a truck manufacturer is analyzed, with a new analysis model, called DIM2, originated from the mix between the DMM (Data Maturity Model) and DIMM (Data Interoperability Maturity Model) maturity models. Model), that is, DIM2 evaluates the maturity of data from the perspective of interoperability, together with the multicriteria evaluation methods AHP (Analytic Hierarchy Process) and Dematel (Decision-Making Trial and Evaluation Laboratory). The results propose a diagnostic basis for data management based on the presented multicriteria methods.