scholarly journals Development of Multi-Disciplinary Green-BOM to Maintain Sustainability in Reconfigurable Manufacturing Systems

2021 ◽  
Vol 13 (17) ◽  
pp. 9533
Author(s):  
Kezia Amanda Kurniadi ◽  
Kwangyeol Ryu
Keyword(s):  
Manufacturing Systems ◽  
Product Information ◽  
Planning Problem ◽  
Reconfigurable Manufacturing ◽  
Multiple Sources ◽  
Design Data ◽  
Strongly Connected ◽  
Information Tracking ◽  
Development Processes ◽  
Product Variation

The reconfigurable manufacturing system (RMS) appears to be eco-friendly while coping with rapidly changing market demands. However, there remains a lack of discussion or research regarding sustainability or environment-friendly functions within RMS. In this study, the reconfiguration planning problem is introduced to represent the core issues within the RMS. Reconfiguration occurs depending on new demands or conditions in the company by reconfiguring machines, such as removing, adding, or changing parts, giving considerable consideration to arrangement of machines, known as configurations in RMS. Therefore, reconfiguration process is always strongly connected to cost, energy consumption, and, more importantly, data management. The complexity of reconfiguration, product variation, and development processes requires tools that are capable of managing multi-disciplinary bill-of-material(BOM) or product data and providing a better collaboration support for data/information tracking while maintaining sustainability. This paper proposes a multi-disciplinary green bill-of-material (MDG-BOM)—an improved Green-BOM concept—with an additional multi-disciplinary feature to minimize emissions and hazardous materials during product development, as well as manage product information across multiple disciplines during the reconfiguration process. A smart spreadsheet for managing MDG-BOM was developed to allow multiple departments to integrate multiple sources of CAD design data and monitor/track changes throughout each step of the process.

Product Modeling, Evaluation and Validation at the Detailed Design Stage

2011 ◽  
Author(s):  
Cristian Iorga ◽  
Alain Desrochers
Keyword(s):  
Product Development ◽  
Design Process ◽  
Design Stage ◽  
Product Modeling ◽  
Specific Product ◽  
Development Processes ◽  
Product Variation ◽  
Process Methodology ◽  
Capstone Projects ◽  
Short Time

The expansion of the markets corroborated with product customization and short time to launch the product have led to new levels of competition among product development companies. To be successful in the globalization of the markets and to enable the evaluation and validation of products, companies have to develop methodologies focused on lifecycle analysis and reduction of product variation to obtain both quality and robustness of products. Keywords: Modeling, Evaluation, Validation, Design ProcessThis paper proposes a new design process methodology that unifies theoretical results of modeling stage and empirical findings obtained from the validation stage. The evaluations and validations of engineering design are very important and they have a high influence on product performances and their functionality, as well on the customer perceptions.Given that most companies maintain the confidentiality of their product development processes and that the existing literature does not provide more detailed aspects of this field, the proposed methodology will represent a technical and logistical support intended for students or engineers involved in academic as well as industrial projects.A generic methodology will be refined based on a new approach that will take into consideration the specification types (quantitative or qualitative), the design objectives and the product types: new/improved, structural/esthetic. Hence the new generic methodology will be composed of specific product validation algorithms taking into account the above considerations. At the end of this paper, the improvements provided by the proposed methodology into the design process will be shown in the context of the engineering student capstone projects at the Université de Sherbrooke.

Analysis of Sound Signal Generation Due to Flank Wear in Turning

2000 ◽  
Author(s):  
Ming-Chyuan Lu ◽  
Elijah Kannatey-Asibu
Keyword(s):  
Tool Wear ◽  
Manufacturing Systems ◽  
Cutting Process ◽  
Reconfigurable Manufacturing ◽  
Monitoring Tool ◽  
Major Step ◽  
Part Quality ◽  
Audible Sound ◽  
The Individual ◽  
Flank Surface

Abstract Ramp-up is a major step in the implementation of manufacturing systems, and is even more critical in reconfigurable manufacturing systems. For a successful reduction in ramp-up time, it is essential to analyze and monitor both the overall manufacturing system and the individual machine tools/processes that comprise the system. Towards this end, we have addressed the issue of monitoring tool wear using audible sound to enable faulty conditions associated with wear to be identified during the process before the part quality gets out of specification. Audible sound generated from the cutting process is analyzed as a source for monitoring tool wear during turning, assuming adhesive wear as the predominant wear mechanism. The analysis incorporates the dynamics of the cutting process. In modeling the interaction on the flank surface, the asperities on the surfaces are represented as a trapezoidal series function with normal distribution. The effect of changing asperity height, size, spacing, and the stiffness of the asperity interaction is investigated and compared with experimental data.

Software Defined Manufacturing Extends Cloud-Based Control

2017 ◽  
Author(s):  
Armin Lechler ◽  
Alexander Verl
Keyword(s):  
Local Control ◽  
Software Defined Radio ◽  
Manufacturing Systems ◽  
Control Architecture ◽  
Control Algorithms ◽  
Software Systems ◽  
Reconfigurable Manufacturing ◽  
Process Data ◽  
Control Software ◽  
Manufacturing Equipment

Nowadays, the key goal in manufacturing is being very efficient within changing markets and under turbulent conditions. Therefore, production plants with their machines logistics and all the other involved components have to be adaptable to changing conditions. For this reason, reconfigurable manufacturing systems are needed, which allow a fast adaption to new requirements of the product to be manufactured. Today, reconfiguration in manufacturing is mostly limited due to missing reconfigurability of the control software in combination with the underlying hardware. The coupling is that strong that in manufacturing control software is always bound to special hardware. Until now, flexibility is only possible by changing application or part programs that are interpreted by a fixed control kernel. The adaption of any core functionality is impossible, and any other changes require high manual effort for redesigning software systems and parametrizing their functionalities. For better adaptability in manufacturing this coupling has to be dissolved. Other disciplines and industries have similar requirements like the information and communication technology (ICT). In the area of ICT, there are more and more concepts of Software Defined Anything (SDX) like Software Defined Networking (SDN) or Software Defined Radio (SDR). Flexible, adaptive and really reconfigurable manufacturing should be improved by a new concept of Software Defined Manufacturing (SDM). SDM allows freely defined functionalities within the physical limitations of the mechanical and electrical components of a machine. But current manufacturing equipment with its control architecture does not offer the technical basis for such a concept. Existing concepts of cloud-based control architectures show indeed a virtualization of the control algorithms. Due to the fact that the software is running remotely, the software is decoupled from its hardware. However, the local control algorithms with hard real-time requirements still have a very strong coupling with the hardware. The local control software could not be defined freely according to the requirements of the product to be manufactured. In this paper, a new control architecture for manufacturing that combines cloud-based control as a service (CaaS) and Software Defined Manufacturing is presented. As a result, an architecture of an operating system for manufacturing equipment is shown, which is freely programmable. This paper deals with Software Defined Manufacturing for local control software, communication and cloud-based control systems. SDM allows defining the behavior of the entire manufacturing process based on design description of a product to be manufactured. In addition, methods are described, which allow the automatic configuration and optimization of such an architecture by using simulation technics and collected process data.

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