Reference model of the manufacturing execution activity in make-to-order environments

Towards the Development of a Digital Twin for a Sustainable Mass Customization 4.0 Environment: A Literature Review of Relevant Concepts

“…According to [89], the efficiency of an organization's operationthat is, the better use of resources by the transformation process [4]-depends on the correct alignment between its strategic and operational levels. A tool developed to aid in the linking/alignment of both the strategic and operational levels is the Customer-Product-Process-Resource (CPPR) framework (Figure 1) proposed by [90][91][92]. In fact, as this strategic-operational levels linking/alignment affects the performance of a manufacturing organization [93], it becomes necessary to take it into account in order to reach high levels of sustainability (by avoiding poor efficiency in both managerial and transformation processes).…”

A Comprehensive Framework for the Analysis of Industry 4.0 Value Domains

“…So, even though strategic issues are important for achieving responsiveness to market changes, they are not sufficient without achieving responsiveness at the operational level. The Customer-Product-Process-Resource (CPPR) framework-proposed by Reference [53], Figure 1-allows the addressing of these through a set of within-and-among alignment conditions necessary for linking the strategic and operational levels [54], expressed in terms of configuration attributes that, in turn, allows the establishment of the documents that promote proper manufacturing execution and, with this, efficient performance [55]. If we consider that the strategic-operational alignment factor affects the performance of a manufacturing organization [56], then it becomes necessary to take it into account in order to reach high levels of sustainability (by avoiding poor efficiency in both managerial and transformation processes).…”

“…necessary for linking the strategic and operational levels [55], expressed in terms of configuration attributes that, in turn, allows the establishment of the documents that promote proper manufacturing execution and, with this, efficient performance [56]. If we consider that the strategic-operational alignment factor affects the performance of a manufacturing organization [57], then it becomes necessary to take it into account in order to reach high levels of sustainability (by avoiding poor efficiency in both managerial and transformation processes).…”

“…From here comes the need to develop business models that are sustainable. [53][54][55][56] In order to address these identified research gaps, we state our research objective to be the development of a framework that establishes the value proposal-creation-capture cycle in the context of the strategic/operational levels that affect overall manufacturing efficiency within a manufacturing organization. The theoretical foundation of the proposed framework (referred to as the CPPR 4.0 throughout the rest of the document as) was established following a approach similar to the one used in References [58][59][60] when building a reference model-where a "best of breed" approach was followed by combining and integrating academia initiatives, identified via the analysis of existing literature.…”

Gerenciamento do tempo de espera: um estudo de caso de tomada de decisões em ambiente de manufatura sob encomenda

“…Diversos autores têm se dedicado a encontrar a melhor solução para a programação nos diversos ambientes de manufatura. Especificamente no ambiente de manufatura sob encomenda (make-to-order -MTO) temos Lee, Kang e Park (1996) que apresentam um novo modelo de seqüenciamento; Choi et al (1997) que desenvolvem um algoritmo heurístico para liberação de pedidos; Newman e Maffei (1999) que apontam simulações e considerações sobre flexibilidade no roteiro de fabricação; Yeh (2000) que mostra um sistema de programação de capacidade finita orientada à tarefa; Gonçalves, Mendes e Resende (2002) que propõem um algoritmo considerando as restrições anteriores que minimiza o tempo necessário de makespan; Barros e Moccellin (2003) que apresentam um algoritmo para analisar possíveis mudanças de gargalos em um sistema; Haskose, Kingsman e Worthington (2004) que demostram um modelo e um algoritmo para soluções de rede de filas; Yeh (2005) apresenta modelo de código de cores para seqüenciamento; Song, Hicks e Earl (2006) desenvolvem um método que acelera o processamento computacional para buscar soluções de programação da produção; Martinez-Olvera (2007) que mostra um modelo de execução de atividade de manufatura em ambiente MTO; Balas, Simonetti e Vazacopoulos (2008) que apontam uma adaptação do modelo Shifting Bottleneck Procedure (SBP); Shabtay e Steiner (2008) que propõem modelo de atribuição de data de entrega; Betrand e Van Ooijen (2008) que demonstram modelos matemáticos de efeitos da liberação de ordens de produção; Ebadian et al (2008) que propõem o modelo Hierarquical Production Planning (HPP) citando alguns pesquisadores.…”