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
Session
SES 3.3: Product and Process Design
Time:
Tuesday, 27/Jun/2017:
4:30pm - 5:30pm

Session Chair: Sara Mantovani
Location: Aula O (first floor)

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Presentations

30. A Critical Review of Design for Reliability - A bibliometric analysis and identification of research opportunities

Lucas Pagani, Milton Borsato

Federal University of Technology - Parana, Brazil

This paper presents a hierarchical heuristic to balance the workloads among multiple identical high-speed revolver-head gantry-type surface mount technology (SMT) machines in a printed circuit board (PCB) assembly line. The nozzle assignment, the component allocation, and the single machine optimization decisions are made with the objective of minimizing the assembly cycle time. An integer programming mathematical model is developed, and a deterministic hierarchical heuristic algorithm is proposed to solve this NP-hard problem efficiently. The experiment results show that the proposed heuristic algorithm reduces the cycle time by 6.94% on average compared to the industrial solutions.


313. Transforming ETO Businesses with Enhanced PLM Capabilities

Antti Juhani Pulkkinen1, Simo-Pekka Leino2, Jorma Papinniemi3

1Tampere University of Technology, Finland; 2VTT Technical Research Centre of Finland Ltd, P.O. Box 1000, FI-02044 VTT, Finland; 3Lappeenranta University of Technology, P.O.Box 20, FI-53851 Lappeenranta, Finland

This paper studies the transformation of business with enhanced Product Lifecycle Management (PLM) capabilities. The material for the research comes from a project conducted with public private partnership. The four industrial companies that we studied engineer and/or manufacture highly customized products in low volumes with globally distributed networks. This is an industrial context, which requires specific PLM capabilities. The capabilities include five areas and the new generation of software products supporting.

First capability is business oriented PLM implementation models, which enable companies to plan, deploy and benefit from a PLM roadmap for managing a business producing low volume and high variety products more systematically. Within the project it was estimated that the business impacts of PLM roadmap decrease lead-time even by 20% for every repeated process is enabled by shared data modules on the repeatability of projects and earlier product-related data.

The second capability is broad re-use of product knowledge and design automation. From the project experiences, it can be estimated that systematic design re-use and automation save thousands of engineering hours over a period of 0-3 years if the capability will be broadly utilized as a company-wide means of engineering industrialization.

Third PLM capability, enhanced enterprise change management (ECM+), is a set of novel means that cover the life-cycle, networks and product types of a company. We focused the first two in the project, which meant proactive change management in product development and change management as defined in CMII standard with released products. Based on real data, we analyzed that systematic change processes, review practices and digital product models enable substantial savings in time and costs by preventing material shortages and errors (15-25%) from progressing to production and procurement. This is supported by the expanded 3D (3D+) models and intermediary virtual prototyping (IVP) that in itself is the fourth PLM capability, which can be utilized in many different positions over the product lifecycle. 3D+ and IVP enable capturing and transforming product knowledge from all stakeholders, thus design and validation of product’s downstream properties and processes already in virtual stage. 3D+ and IVP models structure and conceptualize value creation mechanisms and preconditions for PLM and digitalization of manufacture.

Location independent manufacturing and supply (LIMS) is a PLM capability that will enable new ways of managing factory plant and technology projects supported by new PLM platform based solutions. Competitive advantage for project and lifecycle business can generate substantial growth and profit in the future, when implemented.

The new generation of software is aimed for the enhancing of collaboration within networks, design automation, and PLM system integration. In the software development, the requirements of the specific industrial context were being collected, analyzed and taken into account. All of the three vendors delivered new versions of their software.

The estimations of the business benefits of PLM capabilities are based on the experiences of industrial experts and our analysis of the situation in the companies before and after the project. The PLM capabilities support the transformation of other companies in similar industrial context.


387. Digital Continuity in Manufacturing

Adriano Garella

Dassault Systèmes, Italy

Today new trends creating opportunities in manufacturing: automation, data collection from smart sensors, decision support and operational user experiences, customer data, design models, all come together. In addition, there are ongoing technology changes increasing the viability of cloud computing in manufacturing, new mobile form factors for users, and new uses of big data. Digital continuity is the ability to use digital information in the way that you need, for as long as you need. If you do not actively work to ensure digital continuity, your information can easily become unusable. Digital continuity is about making sure that your information is complete, available and therefore usable for your business needs.

We must connect innovation with the product delivery, all devices and all the users who contribute to their company’s mission of providing goods and services. Connecting engineering with manufacturing is one key linkage. However, we must also connect the physical world and integrate to machinery and equipment. In our supporting our customers, we’ve been doing this for years - and it is now called edge computing. With new technologies evolving and new terminology (Industrial Internet of Things, Internet of Things), there are new ways to collect data from automation and equipment; and some of the technology allows for the creation of smart devices to be better orchestrated by decision support solutions.



 
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