Design for environment at Intel

Product design decisions have significant impact on the environment at all stages of the product life cycle. The designer can make significant contribution to the environmental impact of a product by including design for environment (DFE) criteria up-front in the design phase. The up-front incorporation of DFE criteria adds design rules and guidelines above and beyond the current design criteria. The interdisciplinary nature of DFE, and, at times, its contradictory criteria can make its implementation confusing and overwhelming, at least at the beginning. To help alleviate the confusion and facilitate the acceptance and eventual incorporation of DFE as part of product design criteria, both the product design and product management community need a friendly DFE tool. In this paper we put forth a framework for the development of a user-friendly, easy-to-use software tool that should help both managers and product and process designers evaluate the environmental compatibility of products and their associated manufacturing processes. Of particular interest to the authors is the manufacture of electronic components and assemblies which involve process intensive, semi-continuous, and repetitive wet chemical and physical operations that define circuit patterns on polymers, ceramic and silicon substrates and associated component assembly processes. In this paper we outline an environmental figure of merit for product and process designs that provides the designer the capability to assess the environmental compatibility of various product and process choices. A brief discussion of the PC-based tool, its architecture and a sample application in product and process design will be given.

Facilitating human learning is one of the uses of virtual reality (VR). Users interact within original and dynamic situations of learning in an integrated learning environment called Virtual Reality Learning Environment (VRLE). Nevertheless, the design of these environments is still considered as a complex task. We intend to study and propose technical and methodological solutions to help teachers to design (adapt or reuse) their pedagogical situation with a scenario-based approach and to operationalize it in a VR learning environment. In this work, we defined a design process allowing teachers to generate their VRLE. Then, we instantiated the proposed design process with a pedagogical situation as an illustrated example.

PurposeThe generic design environment for a flexible printed‐circuit board assemblies (PCBA) remanufacturing cell contains four interrelated complex design domains. Mechanical design domains are really complex and the use of well‐proven mechanical product design methodologies does not help the designer. Hence, this paper aims to develop a generic systematic design methodology for a flexible PCBA remanufacturing cell.Design/methodology/approachThe study investigates the use of conventional mechanical product design techniques for the design of a flexible PCBA rework (remanufacturing) cell. It indicates problems and the weaknesses when conventional product design techniques are used for the development of flexible manufacturing systems (FMS). It then provides a new systematic mechanical design methodology for designing a flexible PCBA rework (remanufacturing) cell. The design methodology is intended to be generic in order to apply successfully to any FMS design.FindingsConventional product design methodology cannot be used directly for the design of a flexible PCBA remanufacturing cell. Hence, two design methodologies were developed: the generic FMS mechanical design methodology and a specific FMS design methodology for a PCBA rework cell. The first one was developed based on the tasks of the conventional product design process integrated with new design tools. The generic design methodology was then extended to obtain the second methodology for a PCBA rework cell design. Both of the methodologies were applied to a flexible PCBA rework cell design problem. Both design methodologies eliminated unusable design solutions at the early design stages of the conceptual design process and made the design process easier.Practical implicationsThe generic and specific design methodologies provide a better design environment, even for less specialized FMS designers.Originality/valueThe design methodologies may help for the commercialization of a flexible PCBA remanufacturing cell that may be used for SM rework and assembly.

With the development of science and technology, computers have brought many changes to our life. For artistic design creation, the use of computer aided design can not only break through the traditional form of expression, more importantly, it can liberate our design thinking. Computer in visual communication, environmental design, animation and industrial modeling and other fields, has become an indispensable performance tool. Computer aided design as a new design tool, it broke the original design form, compared with the traditional technique of expression to its visual effect is distinct, picture abound change simple, accurate and fast operation, easy to modify and so on a series of advantages are obvious, that is why by computer-generated performance figure has a wide range of generally accepted by people in the area, in cultivating talents of higher learning design, computer aided design course has become an important part of art design teaching course system, for art design major students to master relevant professional auxiliary software has become an essential skill.3DS MAX aided design can provide powerful real-time 3 d modeling, rendering and animation design, and other functions, it has been widely used in film and television, games, multimedia production, advertising, architecture, industrial design and engineering visual field, as a design student engaged in film and television media, advertising design and architectural design in the future, etc. At the same time, industrial design, architectural design, environmental art design, animation design and other art design related majors in colleges and universities have listed “computer Aided Design - 3DS MAX” as a compulsory course, and its teaching reform is attracting more and more attention.

In order to render cost effective and environmentally friendly products, design for environment (DFE) is becoming of critical use in the preliminary phases of the product design and development process. This can be enhanced by employing computer aided design (CAD) and computer aided engineering (CAE) tools, which have the ability to manipulate the product concepts in electronic environment. This paper presents an integrated product design and development (iProD) framework with the integration of DFE guidelines combined with CAD/CAE principles. The efficacy of the proposed approach is demonstrated through a case study involving a desktop organiser selected from the Caribbean market. The proposed integrated framework is considered to be highly valuable for its implementation in similar product development situations to achieve business benefits such as reduced cost and time which would in turn improve the profitability.

New Product Positioning in an Evolving Technology Environment

The semiconductor industry stands at a technological inflection point where artificial intelligence and machine learning offer transformative potential across the entire value chain. This article examines the strategic implementation of AI/ML technologies throughout semiconductor design, manufacturing, quality control, and supply chain operations. Drawing from industry experience spanning multiple semiconductor sectors, it explores how intelligent systems optimize chip design processes, enhance fabrication yields, revolutionize defect detection methodologies, and create resilient supply networks. While acknowledging implementation challenges related to data infrastructure, computational requirements, and specialized talent acquisition, integrating these advanced technologies presents a clear pathway toward addressing modern semiconductor development and production's increasing complexity and performance demands.

Design for environment and design for disassembly practices in Malaysia: a practitioner's perspectives

Technological innovation development plays a pivotal role in mineral economics. History shows that the difference between a mineral deposit's economic status and its uneconomic status lies in the mining technological innovation most prevalent in each phase of technological development. The significance of mining technology is that it curbs the negative impact of mineral deposit depletion by improving productivity, thereby keeping mineral exploitation profitable. This relationship makes it imperative to develop a framework that utilises this concept to sustain mining in the future. The framework will incorporate the benefits of technological innovation implementation to demonstrate its impact on a company's share price. It will help public investors understand share price performance while serving as an additional internal new technology investment approval tool.This paper demonstrates how applying technological development and innovation affects mining processes and its economics. This relationship is evident throughout the four historical mining technological stages, which started in the 18th Century with mechanisation, then remote control, automation, and currently, autonomous technology systems. At each stage, the need for a more productive technology arose as the effects of mineral resources depletion threatened mining's profitability. Thus, it can be judged that the future of mining profitability lies in the current advanced technologies that leverage artificial intelligence and machine learning systems. Nonetheless, while mineral commodity miners profit and firm market values grow, the growth is not empirically linked to the technological innovation development that drives it. Conversely, in other industries, the firm's technological development innovation resultant economic metrics, along with macroeconomic factors, are captured and empirically linked to stock market value. This exposes a gap in the financial impact evaluation of mining technology innovation implementation. Therefore, this paper explores the possibility of developing that framework for the mining industry by identifying improved productivity and cost metrics, profit margin growth, and the resultant share price performance.

Human-machine collaboration represents an essential frontier for optimizing semiconductor fabrication processes, addressing unique challenges that require both human expertise and computational precision. This article explores the transformative integration of AI-powered systems, augmented reality interfaces, digital twins, and collaborative technologies in semiconductor manufacturing operations. AI-vision systems and cobots enhance precision handling while minimizing contamination risks, while augmented reality interfaces project process parameters and maintenance procedures directly into operators' field of vision. Digital twin technology creates virtual representations allowing engineers to test configurations without disrupting production, complemented by human-in-the-loop machine learning systems that incorporate operator feedback for improved anomaly detection and predictive maintenance. Explainable AI models provide transparent reasoning for process adjustments while knowledge management systems systematically capture best practices and preserve institutional memory. Through these collaborative human-machine partnerships, semiconductor manufacturers achieve higher productivity, improved yields, and accelerated innovation cycles while addressing challenges in interface design, cybersecurity, and establishing optimal automation-supervision equilibrium.

Environmentally conscious product development, eco-design or design for environment is the methodology trying to introduce environmental requirements into product design. The first step of this process is the gathering of customer requirements for a structured product development procedure, such as quality function deployment (QFD). The problem is that environmental requirements are usually unspoken by the customers. This paper describes a methodology for uncovering such requirements by using environmental default questions in an elaboration process. This leads to an increased customer environmental awareness, and it generates a comprehensive list of requirements suitable for use in a subsequent QFD process. The effects of the elaboration process are demonstrated in one case study.

Current vehicles in the automotive industry are increasingly equipped with a variety of complex electrical and electronic (abbr.: e/e) applications. These e/e applications are used to create innovative vehicle functions. One of the challenges in the development of e/e applications is the selection and integration of available semiconductor technologies and semiconductor products. Often only a semiconductor product with the latest technology enables an efficient and economical realization of innovative vehicle functions. The differing technology cycles and development processes between the semiconductor and automotive industries make it a challenge for the companies involved in the development. This paper describes an evaluation method to determine the integration potential of semiconductor components in vehicles. The method describes an interdisciplinary approach to prepare decisions for the integration of available semiconductor technologies and products in vehicles. The focus is on the use of the latest semiconductor technologies in the automotive industry.

A novel approach to integrating multi-tool design environments is described which involves making a data flow model of the tools and design methodologies within the relevant design environment and storing this model in a database. This information about the design environment is subsequently used as the basis for organizing and accessing the sets of design data which are used and created within this environment. This approach thus provides a bridge between design process related functions (tool invocation, design process checking and auditing, history logging, and design releasing) and functions related to the design data (data identification, data classification, version management, and data browsing). The main advantages of this technique are its user- and system-level simplicity. its ability to handle data in work-in-progress situations, its support for design methodology, its consistent handling of a wide range of data types and flexibility with respect to changes in the design environment. >

High speed machinery has played and continues to play a vital role in the manufacture and production of consumer goods. In the design of high speed systems there are two key considerations: power transmission and motion control. Although there is considerable computer-based support for the design of systems to achieve requirements of power transmission, there is only limited support for the design of systems to deliver complex motion control. This is particularly the case where mechanism and linkage systems are considered in order to achieve large displacements and intricate paths involving reentrant and reciprocating components. One explanation for this relative lack of supportive tools is the underlying reasoning and analysis techniques implemented within many commercial and research software environments. To overcome these limitations a constraint-based approach has been employed to provide the fundamental elements of a design environment for mechanisms and machine systems. The design environment provides support for the transition from concept to embodiment stages of the design process and the subsequent stages of detailed design and optimization. In contrast to many research approaches the design environment presented in this paper has been created and developed through close collaboration with industry and through extensive application to real design scenarios. First, the underlying representations and methods are presented. The fundamental elements of the design environment are then described and its capabilities discussed with particular reference to the use of constraints in design.

Additive Manufacturing increasingly becomes a viable alternative to conventional manufacturing technologies. However, the knowledge and awareness to achieve a ready-for-manufacturing and quality-ensured design of additively manufactured products are mostly lacking. Knowledge from the manufacturing process on how certain process variables affect the product requirements must already be considered in product design to assure and potentially enhance the quality a priori, thus saving time and cost-intensive iterations. Therefore, this knowledge must be front-loaded as a basis to suitably adapt product and process design simultaneously. This contribution therefore proposes a framework for the simultaneous product and process design synthesis of existing designs by providing insight knowledge about product and process design specific to Fused Layer Modeling. This is achieved via a consolidated ontology-based knowledge representation and its integration in a design environment. Thus, the aim, in contrast to most existing approaches, is to provide this knowledge on a product- and application-specific basis to parallelise product and process design for non-assembly mechanisms and exploit currently unused potential concerning the interaction between the different domains. This can shorten development times and also compensate for a lack of background knowledge in certain areas. A practical use case highlights the general procedure, benefits, and applicability.