Meta-Modeling of Collaborative Supply Chain

A data model for collaborative manufacturing environments

“…C2NET Collaborative Tools (COT) collect a set of high-level tools in charge of managing the agility of the collaborative operations among supply chain enterprises. These tools are specifically in charge of exploiting the collect data to support enterprises establishing collaborative relationships: from negotiation processes to the collaborative calculation of replenishment, production and delivery plans (Lauras et al 2015;Benaben et al 2016;Jiang, Lamothe, and Bénaben 2016;Hauser et al 2018;Jiang et al 2017).…”

Understanding supply chain resilience through conceptual modelling techniques

“…Others, such as Herrera et al (2020), have focussed on specific parts of the supply chain process, using conceptual modelling techniques to conceptualize the e-waste domain as part of the reverse logistics process. Others still, have focussed on conceptualizing entire domains of supply chains such as management (Mentzer et al, 2001), collaboration (Jiang et al, 2016), information management (Messina et al, 2020) and the supply chain's performance (Theeranuphattana and Tang, 2008). Finally, some authors have combined these JM2 18,6 approaches to focus on specific domains in a particular type of supply chain [e.g.…”

“…Having decided to use model modularization, the first step was to define the dimensions that structure the domain concepts. To do so, we turned to the supply chain literature and found previous works that have identified dimensions in the SCRES domain, particularly the work of Jiang et al (2016) and Tounsi et al (2012). The former authors propose a metamodel, organized into five dimensions: context, objectives, partners, behaviour and performance, for supply chain collaboration.…”

“…This, in turn, makes it possible to express complex SCRES realities simply, ensuring that the models are accurate so that there is no ambiguity in their interpretations. In fact, some researchers have identified similar issues in other supply chain domains and have resorted to conceptual models to solve them (Tounsi et al , 2012; Mentzer et al , 2001; Jiang et al , 2016; Herrera et al , 2020). The use of conceptual modelling tools can therefore benefit the SCRES domain, as it is composed of a set of formal techniques, which help to structure the related knowledge (Olivé, 2007).…”

Toward an Agile Adaptation of Supply Chain Planning: A Situational Use Case

“…CAASC takes advantage of three main services developed in a monitoring perspective of supply chain mid-term plans during the H2020-FoF project called C2NET "Cloud Collaborative Manufacturing Networks" [1] : i) the modeling service which uses collected data (current plans for demand, production, supply, distribution and inventories) to maintain a model of a supply chain according to a reference meta-model. ii) the detection of deviations service which compares the supply chain status model to the model expressed from the originally validated plans, and therefore detects deviations that are changing the validated plans.…”