Industrial Internet Reference Architectures and Agent-Based Approach in Design and Manufacturing

Author(s):  
Victor V. Taratukhin ◽  
Yulia V. Yadgarova
Author(s):  
Zahed Siddique ◽  
Karunakar Reddy Boddu

To survive in today’s volatile market, companies are striving to deliver greater quality, more customization, faster response, more innovative designs and lower prices. The new shift in the current market has introduced the concept of mass customization. One of the aspects of mass customization is to provide customers with products that are manufactured to their needs and requirements. To provide such a support requires better integration of customer with different stages of design and manufacturing. Expansion of the Internet provides an opportunity for such an integration, which will need to link design and manufacturing of the company with the customer. In current approaches, customer usually specifies the options and gets the price or simple pictures of the object. In this paper a system is presented, where customer options and size parameters are gathered using the Internet and is used to automatically generate 3D CAD model of the product and then display the 3D model to the customer for feedback. Development of a framework to generate 3D models from user input will require maintaining explicit correspondence among various types of product information from a module perspective. The Internet based system presented in this paper uses templates to automatically generate 3D CAD models of components, assemble them into products and then export VRML files that are displayed to the customer.


Author(s):  
Mohammad Reza Danesh ◽  
Yan Jin

Abstract Engineering design is a complex process. Even in designing a simple product, tens, if not hundreds, of decisions must be made by a single designer or manufacturer. The problem gets more complex when a group of designers work as a team to design an artifact. In this paper, we take a decision-based approach to model design process and introduce an agent-based decision network (ADN) to support concurrent decision-making and collaboration in design and manufacturing. Our research on ADN focuses on making team members consider other members’ decisions when making their owns and attempts to achieve coherent design decisions among designers by explicitly representing and capturing individual design decisions and negotiation processes. To achieve this goal we introduce a decision-based design process model (DDPM) and a condition-based negotiation model (CNM). The DDPM was developed to capture individual designers’ design processes. The CNM was developed to facilitate condition-based negotiation process and to track both conditions generated and decisions made at each design stage for downstream negotiation support. In ADN, each designer is associated with an agent and both the DDPM and CNM are captured and facilitated by agents and are not explicitly visible to designers. Agents generate and utilize the DDPM and CNM information to support their designers. This paper describes the ADN framework in detail, points out its advantages, and presents an application example to demonstrate the effectiveness of the ADN framework.


Author(s):  
Ardeshir Raihanian Mashhadi ◽  
Behzad Esmaeilian ◽  
Sara Behdad

Although separation of product design from manufacturing capabilities is a major advantage of Additive Manufacturing (AM), the impact of AM is not only limited to the design and manufacturing stages. In addition to the freedom of design such as elimination of design constraints, material saving, and free complexity, AM offers other potential benefits to the manufacturing industry as well. One of the most immediate potentials of AM is the possibility of more efficient logistics. This paper aims at describing the characteristics and requirement of a Supply Chain (SC) as well as the changes AM will bring into the current structure of supply chain. Insights are provided on the transformative effects of AM on traditional businesses, and how these changes impact the configuration of a supply chain. The potential for using simulation tools to evaluate AM supply chain have been discussed. Further, two examples of Agent Based Simulation (ABS) and System Dynamics (SD) have been provided to show the application of simulation models. The ABS results show the possibility of lead time reduction in AM based supply chain. In addition, the SD model illustrates the potential for less ‘pipeline’ effect in AM compared to traditional supply chain.


Author(s):  
Jorge Perdigao

In 1955, Buonocore introduced the etching of enamel with phosphoric acid. Bonding to enamel was created by mechanical interlocking of resin tags with enamel prisms. Enamel is an inert tissue whose main component is hydroxyapatite (98% by weight). Conversely, dentin is a wet living tissue crossed by tubules containing cellular extensions of the dental pulp. Dentin consists of 18% of organic material, primarily collagen. Several generations of dentin bonding systems (DBS) have been studied in the last 20 years. The dentin bond strengths associated with these DBS have been constantly lower than the enamel bond strengths. Recently, a new generation of DBS has been described. They are applied in three steps: an acid agent on enamel and dentin (total etch technique), two mixed primers and a bonding agent based on a methacrylate resin. They are supposed to bond composite resin to wet dentin through dentin organic component, forming a peculiar blended structure that is part tooth and part resin: the hybrid layer.


2008 ◽  
Author(s):  
Sato Hiroshi ◽  
Kubo Masao ◽  
Namatame Akira
Keyword(s):  

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