Bare PCBs are the foundation of any electronic device. With the increasing role of electronics in everyday life, including mobile phones, self-driving and electric cars, home automation and especially IoT, [...]
Modern Machine Shop. Jan 2019, Vol. 91 Issue 8, p98, 5 p.
COMPANY Lumenium LLC PROBLEM Long lead times hampered product development SOLUTION Studio System from Desktop Metal RESULTS Produced parts cheaper, faster and lighter than traditional machining The ability to rapidly [...]
RAPID prototyping, INVENTORIES, SPECIFICATIONS, HEURISTIC, and SOCIAL problems
• We present simple techniques for prototyping Parallel Alternating Criteria Search (PACS) into a domain-specific parallel primal MIP heuristic. • Our approach entails specializing PACS to better adapt to the target problem structure. • We showcase its application to two classes of the Maritime Inventory Routing Problem. • We show the adapted heuristic is competitive with state-of-the-art specialized algorithms and MIP solvers. • The modular nature of PACS proves a platform for the rapid prototyping of parallel domain-specific heuristics. Parallel Alternating Criteria Search (PACS) relies on the combination of computer parallelism and Large Neighborhood Searches to attempt to deliver high quality solutions to any generic Mixed-Integer Program (MIP) quickly. While general-purpose primal heuristics are widely used due to their universal application, they are usually outperformed by domain-specific heuristics when optimizing a particular problem class. In this paper, we focus on the fast development of domain-specific parallel primal heuristics. Our approach entails specializing PACS to better adapt to the target problem structure. We showcase its application to two classes of the Maritime Inventory Routing Problem, an important application of MIPs to real world problems. We computationally compare the proposed modified framework with state-of-the art specialized algorithms and MIP solvers. Results show the effectiveness of our approach, and how the modular nature of PACS can provide a platform for the rapid prototyping of parallel domain-specific heuristics. [ABSTRACT FROM AUTHOR]
Defense AT & L. May-June, 2017, Vol. 46 Issue 3, p30, 5 p.
United States. Department of Defense -- Innovations, United States. Army. Acquisition Corps -- Innovations, United States. Army -- Innovations, Soldiers, and Rapid prototyping
As technological advancements increasingly render once cutting-edge capabilities obsolete in just a few years, the Army's ability to maintain technological overmatch, and ultimately combat overmatch, is inextricably bound up in [...]
Redondo Beach CA (SPX) May 09, 2019, 2019 Northrop Grumman has successfully demonstrated rapid spacecraft development for the Defense Advanced Research Project Agency (DARPA), with the Radio Frequency Risk Reduction [...]
Contract agreement, Defense industry, Open Geospatial Consortium, Defense industry -- Contracts, Special forces (Military science), and Geospatial data
CAE today announced that CAE USA's wholly-owned subsidiary, CAE USA Mission Solutions Inc (MSI), has been awarded a contract by the United States Special Operations Command (USSOCOM) to support Open [...]
Appliance Design. July 2018, Vol. 66 Issue 7, p20, 5 p.
Time to market, Product development, 3D printing, and Machining
Using rapid prototyping to manufacture parts to test for component fit and function can help get your product to market faster than your competition. Adjustments in design, materials, size, shape, [...]
Shalpegin, Timofey, Sommer, Svenja, and Wan, Zhixi
Production and Operations Management. March 2018, Vol. 27 Issue 3, p496, 20 p.
Cost reduction and Cost control -- Analysis
Byline: Timofey Shalpegin, Svenja Sommer, Zhixi Wan Keywords: collaborative prototyping; parallel and sequential testing; supplier involvement; target costing Prototyping allows firms to evaluate the technical feasibility of alternative product designs and to better estimate their costs. We study a collaborative prototyping scenario in which a manufacturer involves a supplier in the prototyping process by letting the supplier make detailed design choices for critical components and provide prototypes for testing. While the supplier can obtain private information about the costs, the manufacturer uses target costing to gain control over the design choice. We show that involving the supplier in the prototyping process has an important influence on the manufacturer's optimal decisions. The collaboration results in information asymmetry, which makes parallel prototyping less attractive and potentially reverses the optimal testing sequence under sequential prototyping: It may be optimal to test designs in increasing order of attractiveness to avoid that the supplier does not release technically and economically feasible prototypes for strategic reasons. We also find that the classical target costing approaches (cost- and market-based) need to be adjusted in the presence of alternative designs: Due to the strategic behavior of suppliers, it is not always optimal to provide identical target costs for designs with similar cost and performance estimates, nor to provide different target costs for dissimilar designs. Furthermore, the timing is important: While committing upfront to carefully chosen target costs reduces the supplier's strategic behavior, in some circumstances, the manufacturer can take advantage of this behavior by remaining flexible and specifying the second prototype's target costs later. CAPTION(S): Appendix A: Detailed Derivations. Appendix B: Numerical Analysis.
Printed circuit board, Lockheed Martin Corp., Aerospace industry, Circuit printing, and Printed circuits
This partnership will enable Lockheed Martin to create their products faster by increasing the levels of precision, predictability and speed Tempo Automation, the world's fastest electronics manufacturer for prototyping and [...]