Additive Manufacturing Plant for Large Scale Production of Medical Devices: A Simulation Study

Avventuroso, Giuseppe; Silvestri, Marco; Frazzon, Enzo Morosini

doi:10.1016/j.ifacol.2018.08.312

Cited by 15 publications

(8 citation statements)

References 7 publications

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“…Their function is to bring the small lance, moved by a pneumatic drive, which have the task of carrying the bellows on the packs; 14. upper jaw. For them are valid the same considerations made for (8), with the difference that within there is a knife driven by the pneumatic piston (16) upon completion of the weld;…”

Section: Marco Silvestrimentioning

confidence: 99%

“…The first one is modification of the motion law from the motor [7]. The second way is to modify the mechanical structure such as redesign the mechanism or adding a balance weight [8], [9]. In this work, a modification realized by adding balance weights will be discussed, through the software ADAMS which allows one to simulate the kinematic and dynamic movement and reaction of both the system and each component [10].…”

Section: Introductionmentioning

confidence: 99%

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Dynamics Modeling and Optimization of a Wrapper Flow Pack Mechanism

Silvestri¹

2019

IJRTE

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Abstract: This paper is about a mechanical solution to vibration problem of a wrapper flow pack mechanism, which is used in packaging industry. The target mechanism is the welding head of the machine where the vibration is generated, due to eccentric masses rotating with a cut-on-the-fly motion law. Consequently, production rate is limited by the vibration at 200 pieces per minute. To reduce the vibration so that the production rate can exceed over 200 ppm, two ways of improvements are considered. The first one is optimizing the motion law. The other one consists in mechanical modifications which eliminates or balance out the inertia forces derived from the eccentric rotating mass. This research implements the second way of adding balance weights and discusses the properties of it. During analysis, the software ADAMS which provides kinematic simulation is used as the analytical tool to test and examine the solutions proposed.

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Section: Marco Silvestrimentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dynamics Modeling and Optimization of a Wrapper Flow Pack Mechanism

Silvestri¹

2019

IJRTE

Self Cite

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“…They successfully optimized various process parameters and showed the importance of computer simulations in value stream analysis that can help in making effective decisions pertaining to the improvement and development of a manufacturing process. Avventuroso, Silvestri, and Frazzon [79] used Anylogic to conduct a simulation-based analysis to support planning, designing, and performance evaluation of an AM plant for large-scale production of medical devices. They modeled a pilot plant in the software based on liquid frozen deposition manufacturing and optimized the production flow by modifying the number of printers, clusters, gelation stations, and employees.…”

Section: Simulationmentioning

confidence: 99%

A Strategic Roadmap for the Manufacturing Industry to Implement Industry 4.0

Butt

2020

Designs

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Industry 4.0 (also referred to as digitization of manufacturing) is characterized by cyber physical systems, automation, and data exchange. It is no longer a future trend and is being employed worldwide by manufacturing organizations, to gain benefits of improved performance, reduced inefficiencies, and lower costs, while improving flexibility. However, the implementation of Industry 4.0 enabling technologies is a difficult task and becomes even more challenging without any standardized approach. The barriers include, but are not limited to, lack of knowledge, inability to realistically quantify the return on investment, and lack of a skilled workforce. This study presents a systematic and content-centric literature review of Industry 4.0 enabling technologies, to highlight their impact on the manufacturing industry. It also provides a strategic roadmap for the implementation of Industry 4.0, based on lean six sigma approaches. The basis of the roadmap is the design for six sigma approach for the development of a new process chain, followed by a continuous improvement plan. The reason for choosing lean six sigma is to provide manufacturers with a sense of familiarity, as they have been employing these principles for removing waste and reducing variability. Major reasons for the rejection of Industry 4.0 implementation methodologies by manufactures are fear of the unknown and resistance to change, whereas the use of lean six sigma can mitigate them. The strategic roadmap presented in this paper can offer a holistic view of phases that manufacturers should undertake and the challenges they might face in their journey toward Industry 4.0 transition.

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“…They can help solve common manufacturing challenges that include assessing the impact of investment, production planning optimization/scheduling, facility designing, manufacturing capability planning, process improvement, bottleneck analysis, production line balancing, resource allocation, improve material flow and inventory planning, experimentation with lean manufacturing techniques and last but not least plan Industry 4.0 approaches. Avventuroso, Silvestri, and Frazzon [92] made use of Anylogic (version PLE 8.1.0) software to undertake a simulation-based analysis to support planning, designing, and performance evaluation of an AM plant for large scale production of medical devices. Liquid Frozen Deposition Manufacturing (LFDM) was the focus and was being utilized for the manufacture of biomedical devices that could adhere to the FDA (Food and Drug Administration) guidelines.…”

Section: Sheet Laminationmentioning

confidence: 99%

Exploring the Interrelationship between Additive Manufacturing and Industry 4.0

Butt

2020

Designs

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Innovative technologies allow organizations to remain competitive in the market and increase their profitability. These driving factors have led to the adoption of several emerging technologies and no other trend has created more of an impact than Industry 4.0 in recent years. This is an umbrella term that encompasses several digital technologies that are geared toward automation and data exchange in manufacturing technologies and processes. These include but are not limited to several latest technological developments such as cyber-physical systems, digital twins, Internet of Things, cloud computing, cognitive computing, and artificial intelligence. Within the context of Industry 4.0, additive manufacturing (AM) is a crucial element. AM is also an umbrella term for several manufacturing techniques capable of manufacturing products by adding layers on top of each other. These technologies have been widely researched and implemented to produce homogeneous and heterogeneous products with complex geometries. This paper focuses on the interrelationship between AM and other elements of Industry 4.0. A comprehensive AM-centric literature review discussing the interaction between AM and Industry 4.0 elements whether directly (used for AM) or indirectly (used with AM) has been presented. Furthermore, a conceptual digital thread integrating AM and Industry 4.0 technologies has been proposed. The need for such interconnectedness and its benefits have been explored through the content-centric literature review. Development of such a digital thread for AM will provide significant benefits, allow companies to respond to customer requirements more efficiently, and will accelerate the shift toward smart manufacturing.

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Additive Manufacturing Plant for Large Scale Production of Medical Devices: A Simulation Study

Cited by 15 publications

References 7 publications

Dynamics Modeling and Optimization of a Wrapper Flow Pack Mechanism

Dynamics Modeling and Optimization of a Wrapper Flow Pack Mechanism

A Strategic Roadmap for the Manufacturing Industry to Implement Industry 4.0

Exploring the Interrelationship between Additive Manufacturing and Industry 4.0

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