In order to control manufacturing systems, managers need risk and performance evaluation methods and simulation tools. However, these simulation techniques must evolve towards being multiperformance, multiactor, and multisimulation tools, and this requires interoperability between those distributed components. This paper presents an integrated platform that brings interoperability to several simulation components. This work expands the process modeling tool Papyrus to allow it to communicate with external components through both distributed simulation and cosimulation standards. The distributed modeling and simulation framework (DMSF) platform takes its environment into consideration in order to evaluate the sustainability of the system while integrating external heterogeneous components. For instance, a DMSF connection with external IoT devices has been implemented. Moreover, the orchestration of different smart manufacturing components and services is achieved through configurable business models. As a result, an automotive industry case study has successfully been tested to demonstrate the sustainability of smart supply chains and manufacturing factories, allowing better connectivity with their real environments.

Lean implementation plays a major role in optimizing productivity and reducing waste. Applying the adequate integration of Lean Techniques (LT) can ensure a higher profitable benefit. Many companies face difficulties in choosing the LT that best suit their situations to reach their objectives. In this study, we propose the simulation of specific modeled industrial contexts and check the impact of implementing LT simultaneously. Market fluctuation, demand diversification, and uncertainty of resources contexts are studied to perceive how LT behaves accordingly. Four KPIs (Key Performance Indicators) are retained for the analysis: Work in Progress, Lead-time, Production Throughput, and Defect Rate. An aeronautical company is modeled and experiments are performed to demonstrate the usefulness of a developed co-simulation framework to perceive the sensitivity of LT to some industrial contexts. The results showed that Poka Yoke and 5S are context-free LT valid in any industrial context. Pull, SMED, and Cross training are contextual and deserve careful applicability regarding the simulated context. Cross training, suitable for uncertainty of resources, does not show any significant improvements when the company was exposed to market fluctuations and demand diversification contexts.