Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Session Overview
SES 6.4: Engineering Collaboration for Smart Manufacturing
Wednesday, 28/Jun/2017:
1:50pm - 3:10pm

Session Chair: Roberto Raffaeli
Location: Aula P (first floor)

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121. High frequency and radicality of product innovation and high flexibility and agility of system of manufacturing: Towards the Smart Factories

Martins Oliveira

Federal Fluminense University, Brazil

This research aims to verify the correlation between the high frequency and high radicality in product innovation and high flexibility and high agility in manufacturing process in smart factories. Furthermore, this research examines how the high flexibility and high agility affect the Companies performance (results). A conceptual framework is drawn up based on the literature and confirmed with specialists. The model was tested on 15 manufacturing plants in innovative Companies (Apple, BMW, General Electric, IBM, Novartis, Philips, Samsung, Siemens, Tesla Motors, and Toyota, others) in Asia, Europe and United States. The research involved the intervention of experts, selected according to their technical-scientific criteria (production managers, product innovation managers, R&D managers, others). The data were extracted by means of a matrix of judgement in which experts made their judgments about the variables investigated (a Survey). To reduce subjectivity in the results achieved the following methods are used complementarily and in combination: multicriteria analysis, multivariate analysis, and neurofuzzy technology. In fact, production issues are rapidly emerging as one of the most important topics in strategic manufacturing decisions. In this sense, the innovation may represent a strategic tool, increasing the institutional capacity of smart companies in their assignments of formulation, evaluation and execution of such projects of products innovations. Furthermore, the integrated use of agility and flexibility manufacturing practices promotes manufacturing competitive strength. This study intends to fill an existing gap in literature between the high radicality product innovation and high agility and flexibility towards the smart factories. Companies that pursue smart manufacturing agility and flexibility should develop innovation capabilities to obtain an improvement on results performance. The high radicality in products innovations is positively associated with new product performance. The study offers clear guidance to management on ways of stimulating the flexibility and agility in radical innovation context of smart manufacturing.

291. The application of reference ontologies for semantic interoperability in an integrated product development process in smart factories

Anderson Luis Szejka, Osiris Canciglieri Junior

Pontifical Catholic University of Parana, Brazil

The modern manufacturing industry has been challenged to be highly flexible in bringing to the market new products, using extensive integration between customers, companies, and suppliers. The concept of Smart Factories requires efficient and effective information sharing between different phases of Product Development Process since multiple stakeholders are involved within and across the enterprise boundaries. Efficient and effective information sharing demands formal information structures in order to make sure the semantic interoperability across different phases of Product Development when multiple domains are involved in the process. The premise of the research is that the ontology provides the reference for determining the semantic interoperability across heterogeneous domains. In this context, this research presents an application of reference ontologies to support semantic interoperability during the Product Development Process in Smart Factories. The concepts inherent to the product development process are formalized in core reference ontologies that represent in an elementary way the information data structure. The core ontologies are specialized according the specific product data in order to support product design and manufacturing. A case study in thin wall plastic injected product is performed to evaluate the approach potential to aid the information sharing in the integrated product development process in Smart Factories. As a result, the potential benefits and limitations of the ontology-driven interoperability were discussed, contributing to the semantic interoperability field and improving the development of modern manufacturing industry.

360. Design and Analysis of Tungsten Carbide Sludge Removal Machine for Maintenance Department in Cutting Tool Manufacturer

Syahmi Shahar, Noor Azlina Mohd Salleh

Universiti Teknologi MARA Malaysia, Malaysia

In Cutting Tool Industries, the grinding process for producing cutting tools creates carbide sludge which is a combination of carbide waste from the product material and coolant from the grinding machine. Since carbide sludge will be filtered in the filter machine, a monthly maintenance is necessary for the filter machine which include transferring accumulated carbide sludge into the waste barrel. The current process of removing carbide sludge from the filter machine required 2 to 3 person and takes a considerate amount of time. The process also require several types of equipment such as jack and forklift which require skilled workers to operate. This research aim to develop a carbide sludge remover machine that fits perfectly into ABC Cutting Tool Industries production line. Methodology used for this research is by following Deming Cycle Approach (PDCA), observation, conceptual generation through PUGH method and design software (CATIA). The benefit of this research is a design and analysis of carbide sludge remover machine that could reduce the number of workers required for the waste removal process. It also simplifies the operation of removing carbide sludge from the filter machine. This research may contribute to the cost reduction for the carbide sludge removal process overtime and also improve the safety of the operator. Besides that, a fully automated Carbide Sludge Remover can also be the next part of this research as well as the intelligent carbide sludge indicator sensor that linked with the operation of the company.

353. A Novel Concept Of Production And Assembly Processes Integration

Bruno Miguel Moreira, Ronny Miguel Gouveia, Francisco Silva, Raul Campilho

ISEP – School of Engineering, Polytechnic of Porto – Department of Mechanical Engineering, Portugal

Due to cost pressure, shortened development cycles, as well as increasing variety and technical product complexity, companies face more complex parallel development processes. Automating a manual process can greatly increase the productivity of a

manufacturing facility. It can reduce overall system life cycle costs, reduce machine start-up time, and improve product quality and consistency. This work intends to show the real advantages of processes’ integration in opposition to a diversity of interdependent automated processes, in terms of work preparation (setups), materials flow and maintainability. A case study is presented, illustrating how the system can be designed, establishing a novel concept of fully-automated equipment integrated production and assembly systems.

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