Proactive Cost Impact Assessments of Design Alternatives

Author(s):  
Joseph P. Falque

This paper discusses how a process-based parametric cost model, SEER-DFM, is used to facilitate the proactive real time cost impact assessment of composite and metallic design alternatives. The main purpose is to introduce the underlying methodology and demonstrate the flexibility of the cost model for developing trade studies. Readers are introduced to the model, its premise, and how engineers use it to obtain substantial cost savings through ‘real world’ cases.

2020 ◽  
Vol 10 (24) ◽  
pp. 9154
Author(s):  
Paula Morella ◽  
María Pilar Lambán ◽  
Jesús Royo ◽  
Juan Carlos Sánchez ◽  
Jaime Latapia

The purpose of this work is to develop a new Key Performance Indicator (KPI) that can quantify the cost of Six Big Losses developed by Nakajima and implements it in a Cyber Physical System (CPS), achieving a real-time monitorization of the KPI. This paper follows the methodology explained below. A cost model has been used to accurately develop this indicator together with the Six Big Losses description. At the same time, the machine tool has been integrated into a CPS, enhancing the real-time data acquisition, using the Industry 4.0 technologies. Once the KPI has been defined, we have developed the software that can turn these real-time data into relevant information (using Python) through the calculation of our indicator. Finally, we have carried out a case of study showing our new KPI results and comparing them to other indicators related with the Six Big Losses but in different dimensions. As a result, our research quantifies economically the Six Big Losses, enhances the detection of the bigger ones to improve them, and enlightens the importance of paying attention to different dimensions, mainly, the productive, sustainable, and economic at the same time.


Hand ◽  
2019 ◽  
pp. 155894471987314
Author(s):  
Mark Henry ◽  
Forrest H. Lundy

Background: Acute, direct inoculation osteomyelitis of the hand has traditionally been managed by intravenous antibiotics. With proven high levels of bone and joint penetration, specific oral antimicrobials may deliver clinical efficacy but at substantially lower cost. Methods: Sixty-nine adult patients with surgically proven acute, direct inoculation osteomyelitis of the hand were evaluated for clinical response on a 6-week postdebridement regimen of susceptibility-matched oral antibiotics. Inclusion required gross purulence and bone loss demonstrated at the initial debridement and radiographic evidence of bone loss. Excluded were 2 patients with extreme medical comorbidities. There were 53 men and 16 women with a mean age of 46 years. Mean follow-up was 16 weeks (±10). The cost model for the outpatient oral antibiotic treatment was intentionally maximized using Walgreen’s undiscounted cash price. The cost model for the traditional intravenous treatment regimen was intentionally minimized using the fully discounted Medicare fee schedule. Results: All patients achieved resolution of osteomyelitis by clinical and radiographic criteria. In addition, 7 patients underwent successful subsequent osteosynthesis procedures at the previously affected site without reactivation. The mean postdebridement direct cost of care per patient in the study cohort was $482.85, the cost of the antibiotic alone. The postdebridement direct cost of care per patient on a regimen of vancomycin 1.5 g every 12 hours via peripherally inserted central catheter line was $21 646.90. Conclusions: Acute, direct inoculation osteomyelitis of the hand can be successfully managed on oral antibiotic agents with substantial direct and indirect cost savings.


Author(s):  
Der-Min Tsay ◽  
Hsin-Pao Chen ◽  
Sa´ndor Vajna ◽  
Michael Schabacker

To increase productivity of marine propellers by raising machining efficiency, this paper presents the zigzag/spiral tool paths generation algorithm based on the arc base curve approach for three-axis machining of curved surfaces of propellers. By considering the shapes of selected cutters with different types of tool paths generated by the proposed procedure, machining efficiency can be calculated and simulated. To verify the accuracy and effectiveness of the developed approach, numerical and experimental results of machining of propeller surfaces are compared. It was proved that the machining time can be cut down up to 19% by using zigzag tool paths with a toroidal cutter. In addition, the machining knowledge revealed here can be accumulated for benefit evaluation in the manufacturing process with existing CAD/CAM systems. From the cost model, design, and process views, the overall cost savings after 5 years are investigated, and the expected benefit yield is about 45%.


2020 ◽  
Vol 22 (2) ◽  
pp. 53-70
Author(s):  
Juan Rendon Schneir ◽  
Konstantinos Konstantinou ◽  
Julie Bradford ◽  
Gerd Zimmermann ◽  
Heinz Droste ◽  
...  

Purpose 5G systems will enable an improved transmission performance and the delivery of advanced communication services. To meet the expected requirements, operators will need to invest in network modernisation, with the radio access network being the most expensive network component. One possible way for operators to reduce this investment would be via sharing of resources by means of a multi-tenancy concept. This implies that a mobile service provider may use the common infrastructure of one or various infrastructure providers, whereby it provides services to multiple tenants. This paper aims to study the expected cost savings in terms of capital expenditures (CAPEX) and operational expenditures (OPEX) that can be achieved when using a cloudified 5G multi-tenant network. Design/methodology/approach A cost model was used. The study period is 2020-2030 and the study area consists of three local districts in central London, UK. Findings This paper describes that the total cost reduction achieved when using multi-tenancy for a 5G broadband network in comparison with the case where operators make the investment independently ranges from 5.2% to 15.5%. Research limitations/implications Further research is needed to assess the cost implications of network sharing for 5G on a regional or nationwide basis. Originality/value Very little quantitative research about the cost implications of network sharing under 5G networks has been published so far. This paper sheds light on the economic benefits of multi-tenancy in a 5G broadband network.


2013 ◽  
Vol 658 ◽  
pp. 614-619 ◽  
Author(s):  
Hong Kyu Kwon ◽  
Kwang Kyu Seo

In a competitive and globalized business environment, the need for the sustainable product development becomes stronger. To meet these trends, the total cost during the product life cycle, called life cycle cost (LCC), should be considered as an important factor in new product development. In this paper, a hybrid life cycle cost model (HLCCM) is developed as a hybrid life cycle cost system (HLCCS) to estimate the cost performance of product design alternatives. It aims at improving the cost performance of products using genetic algorithms and artificial neural networks which consist of high-level product attributes and LCC results. The framework incorporated HLCCM is proposed in cloud computing based collaborative design environment and allows users to estimate the product data and other related information on a wide variety of application. This paper presents approximate LCC estimation of product design alternatives represented by solid models in cloud computing based collaborative design environment.


2020 ◽  
pp. neurintsurg-2020-016160 ◽  
Author(s):  
Kavit Shah ◽  
Merritt Brown ◽  
Shashvat M Desai ◽  
Tudor G Jovin ◽  
Ashutosh P Jadhav ◽  
...  

BackgroundWith a continued rise in healthcare expenditures, there is a demonstrable focus on curbing expenses. Mechanical thrombectomy (MT) is the standard of treatment for large vessel occlusions (LVOs); however, considerable costs are associated with devices utilized in each procedure. We report our institution’s experience with capitation pricing models negotiated with three different companies.MethodsWe retrospectively reviewed a prospectively maintained database from February 2018 to August 2019 identifying cases performed under capitation models. We calculated the cost of equipment for each thrombectomy using the cost for individual devices utilized (virtual) and compared this sum to the total derived from cost-negotiated bundled equipment packages. This was compared with real-world cases that did not meet capitation criteria during this study period.Results107 cases met the criteria for capitation; 39 cases used company A’s models (28 with stentrievers), 44 cases used company B’s models (3 with stentrievers), and 24 cases used company C’s models (14 with stentrievers). Overall, there was a net savings of $202 370.50 utilizing the capitated model ($689 435 vs $891 805.50), amounting to $1891.31 savings per case. Mean capitation was lower ($6972±2774) compared with virtual ($8794±4614) and real-world non-capitation costs ($7176±3672).ConclusionThe negotiated capitated pricing model yielded total cost savings associated with equipment from each company. Overall mean capitation costs were lower than virtual and real-world cases. This may serve as a model for other centers in controlling costs for patients undergoing MT for LVO.


Author(s):  
Chen Liu ◽  
Bo Li ◽  
Jun Zhao ◽  
Ming Su ◽  
Xu-Dong Liu

Detecting the newly emerging malware variants in real time is crucial for mitigating cyber risks and proactively blocking intrusions. In this paper, we propose MG-DVD, a novel detection framework based on dynamic heterogeneous graph learning, to detect malware variants in real time. Particularly, MG-DVD first models the fine-grained execution event streams of malware variants into dynamic heterogeneous graphs and investigates real-world meta-graphs between malware objects, which can effectively characterize more discriminative malicious evolutionary patterns between malware and their variants. Then, MG-DVD presents two dynamic walk-based heterogeneous graph learning methods to learn more comprehensive representations of malware variants, which significantly reduces the cost of the entire graph retraining. As a result, MG-DVD is equipped with the ability to detect malware variants in real time, and it presents better interpretability by introducing meaningful meta-graphs. Comprehensive experiments on large-scale samples prove that our proposed MG-DVD outperforms state-of-the-art methods in detecting malware variants in terms of effectiveness and efficiency.


2015 ◽  
Vol 2015 (1) ◽  
pp. 000035-000040 ◽  
Author(s):  
Adam Beece ◽  
Dragomir Milojevic ◽  
Geert van der Plas ◽  
Rod Augur ◽  
Michelle Sureddin ◽  
...  

The traditional drivers for the adoption of 3D integration technology are footprint, power, performance, and/or bandwidth gains at the expense of increased cost due to additional wafer processing, dies stacking and 3D test. However, for larger dies in cutting edge technology, total system cost can be reduced by leveraging heterogeneous 3D stacking, if it is done correctly. This paper presents a model which allows comparing the cost of moving a traditionally designed chip at given advanced node (in 2D) to an implementation in the next generation technology node using heterogeneous face-to-face 3D stacking. With this model we show that 3D integration scheme can be driven by cost savings. This is possible in a world where CMOS cost per transistor continues to improve because other components that are required in large SoCs, notably analog and I/O functionality, do not. The proposed model is used to evaluate the cost impact of iterating a 14nm SoC into a 10nm SoC (traditional scaling) compared to a 3D implementation that pulls the analog and I/O circuitry into a cheap 28nm top die. The cost impact of such a transition is evaluated for different starting SoC sizes (from 100 to 400mm2), differing area percentages of analog I/O (15–40% of the total 2D area), different increases in complexity (measured in implicit number of transistors). In the most realistic and representative cases studied, 28–10nm heterogeneous 3D stack reduced large-die package cost from 5% to 10%. Sensitivity analysis to various model parameters show that these savings are fairly robust, persisting through various scenarios unfavorable to this integration technique.


Author(s):  
Pranav Jain ◽  
Conrad Tucker

Abstract In this paper, a mobile-based augmented reality (AR) method is presented that is capable of accurate occlusion between digital and real-world objects in real-time. AR occlusion is the process of hiding or showing virtual objects behind physical ones. Existing approaches that address occlusion in AR applications typically require the use of markers or depth sensors, coupled with compute machines (e.g., laptop or desktop). Furthermore, real-world environments are cluttered and contain motion artifacts that result in occlusion errors and improperly rendered virtual objects, relative to the real world environment. These occlusion errors can lead users to have an incorrect perception of the environment around them while using an AR application, namely not knowing a real-world object is present. Moving the technology to mobile-based AR environments is necessary to reduce the cost and complexity of these technologies. This paper presents a mobile-based AR method that brings real and virtual objects into a similar coordinate system so that virtual objects do not obscure nearby real-world objects in an AR environment. This method captures and processes visual data in real-time, allowing the method to be used in a variety of non-static environments and scenarios. The results of the case study show that the method has the potential to reduce compute complexity, maintain high frame rates to run in real-time, and maintain occlusion efficacy.


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