Recent investments in industrial digitization together with the concrete need for short-term planning capabilities mean digital twins can effectively aid enterprises management of their production systems and value chains. This paper introduces a conceptual framework assembly line re-balancing context Industry 5.0, focusing on manual processes. The aims to leverage twin obtaining synchronized representation current task allocations line, uses data-driven scenario generation methods...

In the last years, increase of data availability together with enhanced resource flexibility shed light on possibility to develop planning and control methods real-time inputs. Literature is rich approaches simulate, quickly evaluate system performances, take decisions based optimization criteria. Further, simulation has been identified as one pillars for Industry 4.0 revolution. However, lack a generally recognized approach methodology deal decision-making through evident. Simulation can...

Modern manufacturing systems can benefit from the use of digital tools to support both short- and long-term decisions. Meanwhile, such reached a high level complexity are frequently subject modifications that quickly make obsolete. In this context, ability dynamically generate models production is essential guarantee their exploitation on shop-floors as decision-support systems. The literature offers approaches for generating based real-time data streams. These represent system more...

The fourth industrial revolution introduces new technological innovations and amplifies the importance of some existing technologies such as Artificial Intelligence (AI), Internet Things (IoT), Blockchain, amongst others. Digital Twin (DT) has emerged one most prominent this era caught attention industry, academia, governments. However, realisation full potential DT is challenged by lack standard terminologies practices, This reflected in state-of-the-art architectures, which indicates that...

Recently, the development of new technologies within Industry 4.0 revolution enabled to increase digitization level manufacturing plants. To benefit from functionalities digital twins, it is essential guarantee a correct alignment between physical system and associated model along whole life cycle, assess validity online. Traditional validation techniques cannot be applied for such purpose because restrictive assumptions need large amounts data. This work proposes novel online method...

Recently, production plants have become very complex environments, in which the final output is result of favourable interplay several processes. Successful management strictly depends on ability to grasp current disposition both physical and managerial To achieve this goal, use structured data-based methods has proved be effective. Yet, literature lacks successful applications, especially regarding support processes (e.g., order acquisition, procure-to-pay), are directly connected overall...

Recently, the connection between manufacturing systems and their digital counterparts has become of great significance for planning control activities in a short-term scope. However, alignment model with very dynamic system is not always guaranteed, traditional validation techniques cannot be used since they are designed off-line simulators rely on availability large amount data. This work develops novel procedure inspired by signal-processing theory approach called quasi Trace Driven...

This work provides an overview of digital twins, replicas real entities conceived to support analysis, improvements, and optimal decisions. Specifically, it aims better clarify what twins are by pointing out their main features, they can do related physical which models use. An illustrative case together with a few selected application examples is used describe twins. A discussion on the actual challenges research opportunities also reported.

In the last years, increase of data availability together with enhanced resource flexibility shed light on possibility to develop planning and control methods real-time inputs. Literature is rich approaches simulate, quickly evaluate system performances, take decisions based optimization criteria. Further, simulation has been identified as one pillars for Industry 4.0 revolution. However, lack a generally recognized approach methodology deal decision-making through evident. Simulation can...

Involving and stimulating students through intensive work in computer laboratories simulation projects might be a challenging task, often due to the lack of real manufacturing system that must modeled improved. Indeed, studying cannot observed represents obstacle for student effective learning. In this paper, we describe "LEGO FACTORY" initiative, an extra-curricular experience within Master Degree Study Program Mechanical Engineering Politecnico di Milano. The initiative is open from any...

In order to successfully develop and apply cyber-physical systems in manufacturing it is fundamental ensure the availability of up-to-date digital models. Production are intricate environments subject frequent changes due both external internal factors. Therefore, complex guarantee that a model can correctly represent real system at any time. Literature rich with methods for automated generation discrete event simulation However, generated representations may be excessively accurate describe...

Simulation classes have the main advantage of deeply involving and stimulating students through intensive work in computer laboratories projects. The counterpart is often lack real system that subject to simulation modeling. Creating, building validating a model cannot be observed represent obstacle for student learning. In this paper, we describe experience from an educational project launched course manufacturing systems mechanical engineering which discrete event plays fundamental role...

Industry 4.0 determined the emergence of technologies which allow for data-based production planning and control approaches. Digital twins can be used to take decisions based on current system state. Hence, their performance strictly depends capability correctly represent physical counterparts at any time. The development digital manufacturing systems significantly accelerated by automated model generation techniques. However, including assembly stations suffer from event records with...

The growing complexity of worldwide supply chain networks, together with the increased occurrence disruptive events stress need for a focused introduction digital support tools. Digital twins have encountered an interest from both industry and research their capability to provide useful services in short term. number contributions on twin-based methodologies system design production planning control experienced significant increase, while applications management remain scarce. However,...

This paper presents a System Engineering Platform which supports the design and reconfiguration of versatile manufacturing systems that are based on reconfigurable mechatronic objects (MO). The platform assists system designers, to generate, evaluate optimize designs can efficiently adapt dynamic demand product evolutions scenarios, along life cycle. To this end, includes analysis software tools provides outputs Pareto frontiers, showing various key performance indicators. has been applied...

The recent economic outlook has prompted manufacturers to spend a lot of resources towards automation and Cyber Physical Systems (CPS). One the requisites successfully deploy CPSs is availability up-to-date digital models coupled with real system, yet this not always guaranteed in dynamic complex environments such as production systems. This paper develops new method that generates Petri Net model manufacturing system starting from an event log three data labels. user decides number maximum...

Digital models for planning and control of production systems are a key asset manufacturers to gain or maintain their leadership. However, these often based on frameworks that do not take into account the real-time dimension, hence it is arduous exploit them taking short-term decisions over complex systems. The goal this work prove applicability Real-Time Simulation (RTS) framework prescribes exchange current-status data from manufacturing system run alternative simulation decide next moves....

The recent industrial scenario was defined by the emergence of digital twins and cyber physical systems as key elements for manufacturers leadership. Digital models can perform good in terms production planning control decisions if they are correctly representing their counterparts at anytime. Discrete event simulation be considered established manufacturing system, thanks to proven capabilities estimating system performances. Automated model generation techniques significantly reduce...

The Machine Loading Problem (MLP) refers to the allocation of operative tasks and tools machines for production parts. Since uncertainty processing times might affect quality solution, this paper proposes a robust formulation an MLP, based on cardinality-constrained approach, evaluate optimal solution in presence given number fluctuations actual time with respect nominal one. applicability model practice has been tested case study.

The design phase of assembly systems under uncertain product-mix and product volume settings is challenging for both manufacturers researchers. One the paradigms to deal with dynamic environments through reconfigurable system designs. This paper presents formulation a solution approach supporting that are based on modular resources. method assists in search optimal solutions future reconfiguration actions. Systems designed this way can efficiently respond external changes, such as evolving...

Under social-distancing directives due to the COVID-19 pandemic, universities faced problem of how teach without providing access university installations. The physical laboratories and learning factories are essential pieces equipment that allow for realistic modeling activities. At Department Mechanical Engineering in Politecnico di Milano, there is a laboratory used students perform simulation projects related manufacturing systems. lab exploits models built with LEGO components. For...