Optimization for Minimum Volume, Weight or Cost

Discusses “recurrent approaches” to determining when to despatch a consolidated load. Unlike a “non‐recurrent approach” (which sets a target time or weight prior to accumulating orders and despatches when the target is reached), recurrent approaches re‐evaluate the shipment‐release decision several times within an order accumulation cycle. Presents two probabilistic recurrent models, one assuming private transportation and the other common carriage. Compares the performance of these models with the nonrecurrent rules of despatching the “economic shipment weight” or, in the case of common carriage, the minimum volume weight. Concludes that with both forms of transportation, the decision heuristic outperforms despatching the economic shipment weight when that weight is close to vehicle capacity. Shows that, with common carriage, the use of the more sophisticated model does not yield better cost results than the minimum volume weight despatch rule. Discusses the reasons for, and implications of, these results.

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Optimization for Minimum Volume, Weight or Cost

Criteria and Methods of Structural Optimization ◽

10.1007/978-94-011-7517-3_4 ◽

1984 ◽

pp. 129-188

Author(s):

Andrzej M. Brandt ◽

Wojciech Dzieniszewski ◽

Stefan Jendo ◽

Wojciech Marks ◽

Stefan Owczarek ◽

...

Keyword(s):

Minimum Volume ◽

Volume Weight

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A Scale Invariant Clustering using Minimum Volume Ellipsoids

SSRN Electronic Journal ◽

10.2139/ssrn.882115 ◽

2006 ◽

Cited By ~ 2

Author(s):

Mahesh Kumar ◽

James B. Orlin

Keyword(s):

Minimum Volume ◽

Scale Invariant

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Herriott Cell Design With Minimum Volume and Multiple Reflection Rings for Infrared Gas Sensing

IEEE Photonics Technology Letters ◽

10.1109/lpt.2019.2901196 ◽

2019 ◽

Vol 31 (7) ◽

pp. 541-544

Author(s):

Ming Dong ◽

Chuantao Zheng ◽

Yu Zhang ◽

Yiding Wang ◽

Frank K. Tittel

Keyword(s):

Gas Sensing ◽

Multiple Reflection ◽

Cell Design ◽

Minimum Volume ◽

Herriott Cell

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Layer thickness optimization of ceramic composite for body armor by considering volume, weight, and cost

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science ◽

10.1177/09544062211015791 ◽

2021 ◽

pp. 095440622110157

Author(s):

Yuksel Palaci ◽

Mustafa M Arikan

Keyword(s):

Silicon Nitride ◽

Boron Carbide ◽

Layer Thickness ◽

Ceramic Composite ◽

Material Selection ◽

Composite Layer ◽

Ceramic Materials ◽

Ternary Diagram ◽

Body Armor ◽

Volume Weight

This study investigates visualization of optimized layer thickness with a ternary diagram by considering Volume, Weight, and Cost priorities to determine the composite structure of alternative ceramics to use in body armor application by using the Digital Logic Method (DLM). Three criterion priorities (volume, weight, cost) have been investigated to help designers decide on optimum ceramic material for their applications. Alumina (Al2O3), silicon carbide (SiC), silicon nitride (Si3N4), and boron carbide (B4C) were analyzed and ranked to decide for material selection based on priorities. The analysis results showed that silicon nitride (Si3N4) had the maximum performance index (PI) point (80.0) based on the volume priority. On the other hand, while boron carbide (B4C) had the maximum PI point (76.4) in terms of the weight priority, alumina (Al2O3) was determined to be the best material according to the cost priority. PI point of alumina (Al2O3) was calculated as 100. A ternary diagram was developed for decision-makers to visualize material selection performances. The optimization of the ceramic composite layer thickness of the alternative ceramic materials is visualized by considering three criteria.

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Drone Ground Impact Footprints with Importance Sampling: Estimation and Sensitivity Analysis

Applied Sciences ◽

10.3390/app11093871 ◽

2021 ◽

Vol 11 (9) ◽

pp. 3871

Author(s):

Jérôme Morio ◽

Baptiste Levasseur ◽

Sylvain Bertrand

Keyword(s):

Sensitivity Analysis ◽

Monte Carlo ◽

Importance Sampling ◽

Loss Of Control ◽

Minimum Volume ◽

Multiple Importance Sampling ◽

Impact Position ◽

Engine Failure ◽

Main Engine ◽

Ground Impact

This paper addresses the estimation of accurate extreme ground impact footprints and probabilistic maps due to a total loss of control of fixed-wing unmanned aerial vehicles after a main engine failure. In this paper, we focus on the ground impact footprints that contains 95%, 99% and 99.9% of the drone impacts. These regions are defined here with density minimum volume sets and may be estimated by Monte Carlo methods. As Monte Carlo approaches lead to an underestimation of extreme ground impact footprints, we consider in this article multiple importance sampling to evaluate them. Then, we perform a reliability oriented sensitivity analysis, to estimate the most influential uncertain parameters on the ground impact position. We show the results of these estimations on a realistic drone flight scenario.

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The Potential Role of IL1RAP on Tumor Microenvironment-Related Inflammatory Factors in Stomach Adenocarcinoma

Technology in Cancer Research & Treatment ◽

10.1177/1533033821995282 ◽

2021 ◽

Vol 20 ◽

pp. 153303382199528

Author(s):

Qing Lv ◽

Qinghua Xia ◽

Anshu Li ◽

Zhiyong Wang

Keyword(s):

Tumor Microenvironment ◽

Interleukin 1 ◽

Mrna Level ◽

Inflammatory Factors ◽

Stomach Carcinoma ◽

Downstream Target ◽

Volume Weight

This study was performed to investigate the role of interleukin-1 receptor accessory protein (IL1RAP) in stomach carcinoma in vitro and in vivo, determine whether IL1RAP knockdown could regulate the development of stomach carcinoma, and elucidate the relationship between IL1RAP knockdown and inflammation by tumor microenvironment-related inflammatory factors in stomach carcinoma. We first used TCGA and GEPIA systems to predict the potential function of IL1RAP. Second, western blot and RT-PCR were used to analyze the expression, or mRNA level, of IL1RAP at different tissue or cell lines. Third, the occurrence and development of stomach carcinoma in vitro and in vivo were observed by using IL1RAP knockdown lentivirus. Finally, the inflammation of stomach carcinoma in vitro and in vivo was observed. Results show that in GEPIA and TCGA systems, IL1RAP expression in STAD tumor tissue was higher than normal, and high expression of IL1RAP in STAD patients had a worse prognostic outcome. Besides, GSEA shown IL1RAP was negative correlation of apopopsis, TLR4 and NF-κB signaling pathway. We also predicted that IL1RAP may related to IL-1 s, IL-33, and IL-36 s in STAD. The IL1RAP expression and mRNA level in tumor, or MGC803, cells were increased. Furthermore, IL1RAP knockdown by lentivirus could inhibit stomach carcinoma development in vitro and in vivo through weakening tumor cell proliferation, migration, invasion, therefore reducing tumor volume, weight, and biomarker levels, and increasing apoptotic level. Finally, we found IL1RAP knockdown could increase inflammation of tumor microenvironment-related inflammatory factors of stomach carcinoma, in vitro and in vivo. Our study demonstrates that IL1RAP is possibly able to regulate inflammation and apoptosis in stomach carcinoma. Furthermore, TLR4, NF-κB, IL-1 s, IL-33, and IL-36 s maybe the downstream target factor of IL1RAP in inflammation. These results may provide a new strategy for stomach carcinoma development by regulating inflammation.

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