Optimal Quantity Caps in Discriminatory Price Auctions with Resale

2017 ◽  
Author(s):  
Brian Baisa ◽  
Justin E. Burkett
2020 ◽  
Vol 15 (1) ◽  
pp. 1-28
Author(s):  
Brian Baisa ◽  
Justin Burkett

We present a model of a discriminatory price auction in which a large bidder competes against many small bidders, followed by a post‐auction resale stage in which the large bidder is endogenously determined to be a buyer or a seller. We extend results on first‐price auctions with resale to this setting and use these results to give a tractable characterization of equilibrium behavior. We use this characterization to study the policy of capping the amount that may be won by large bidders in the auction, a policy that has received little attention in the auction literature. Our analysis shows that the trade‐offs involved when adjusting these quantity caps can be understood in terms familiar to students of asymmetric first‐price single‐unit auctions. Furthermore, whether one seeks to maximize welfare or revenue can have contradictory implications for the choice of cap.


Molecules ◽  
2021 ◽  
Vol 26 (14) ◽  
pp. 4164
Author(s):  
Elizabeth Diederichs ◽  
Maisyn Picard ◽  
Boon Peng Chang ◽  
Manjusri Misra ◽  
Amar Mohanty

Three-dimensional (3D) printing manufactures intricate computer aided designs without time and resource spent for mold creation. The rapid growth of this industry has led to its extensive use in the automotive, biomedical, and electrical industries. In this work, biobased poly(trimethylene terephthalate) (PTT) blends were combined with pyrolyzed biomass to create sustainable and novel printing materials. The Miscanthus biocarbon (BC), generated from pyrolysis at 650 °C, was combined with an optimized PTT blend at 5 and 10 wt % to generate filaments for extrusion 3D printing. Samples were printed and analyzed according to their thermal, mechanical, and morphological properties. Although there were no significant differences seen in the mechanical properties between the two BC composites, the optimal quantity of BC was 5 wt % based upon dimensional stability, ease of printing, and surface finish. These printable materials show great promise for implementation into customizable, non-structural components in the electrical and automotive industries.


2018 ◽  
Vol 71 ◽  
pp. 321-331 ◽  
Author(s):  
Nikolaos Danias ◽  
J. Kim Swales

2021 ◽  
Vol 8 (1) ◽  
pp. 27-36
Author(s):  
Ramsés Cabrera-Gala ◽  
Luis Carreón-Nava ◽  
Hugo Valencia-Cuevas ◽  
León Rivera-Sosa

The Mexican family companies must face the challenges of market volatility with greater recurrence, forcing them to use effective tools and models for the proper management of their organizations and inherent activities, such as inventory management. Therefore, this research was carried out at “Moles Santa Monica”, a typical food company located in the city of Puebla, Mexico. This enterprise has reflected a high variability in the administration of its inventories, with a Coefficient of Variation (CV) greater than 0.2 in most of their portfolio products. In this way, the objective of this study was to propose an inventory management model that might reduce the shortages and overstock, and also; improves its performance and profitability when it is managed. The applied methods were Pareto and ABC model to choose correctly the best seller company products. The inventory management model chosen was the periodic review (R, S) as well, for being the most effective and the one that best suited the circumstances of the company in question. Three of the portfolio products were studied (MPP10, MPC10 and COP10) due to they are the most representative in incomes and valuables for the company managers. The results allowed us to propose the review periodic model (R), the optimal quantity of units to produce (Q), the safety stock (Ss) and the maximum inventory (S) for each product. We conclude that this model will help the company to face the uncertainty of the demand. Finally, we include limitations and future studies.


Author(s):  
V. V. Primachenko ◽  
I. G. Shulyk ◽  
K. I. Kushchenko ◽  
Yu. O. Krakhmal ◽  
L. P. Tkachenko

For melting of heat­resistant alloys in induction furnaces high refractory vibroсast crucibles are used. Their technology was developed and implemented in JSC “URIR named after A. S. Berezhnoy”. For manufacturing of high refractory corundum periclase crucibles fused corundum and periclase, alumina, and ADS­1 + ADW­1 dispersing additive are used, wherein moisture of vibrocast mass is 4.5—4.6  % and their flowability is 80  %. Along with ADS­1 + ADW­1 additive it is possible to use Castament FS 10 + Castament FW 10 dispersing additive which provides almost the same moisture of masses. Also a new dispersant Castament FS 65 was developed. Therefore researches of Castament FS 65 dispersing additive influence on the structural and rheological properties of vibrocast corundum periclase granular masses in order to establish the possibility of further reducing their moisture is relevant. Influence of dispersing additive Castament FS 65 in the quantity of 0.05; 0.1; 0.2 and 0.3  % on flowability of corundum periclase mass in comparison with influence of optimal quantity (0.2  %) dispersing additive Castament FS 10 + FW 10 (in the ratio 3:1) was studied. Castament FS 65 additive optimal quantity, which significantly increases flowability of mass in comparison to Castament FS 10 + FW 10 additive and can provide decreasing mass moisture from 4.0—4.5  % to 3.5—4.0  % was found as 0.2  %.


2000 ◽  
Vol 46 (3) ◽  
pp. 444-450 ◽  
Author(s):  
Charles J. Corbett ◽  
Xavier de Groote

2016 ◽  
Vol 852 ◽  
pp. 859-866
Author(s):  
Milind Havanur ◽  
A. Arockia Selvakumar

Grease dispensing unit is a well invented tool for greasing application which preserves health of operator working and ensures optimal quantity. There are fluctuations in the process of grease dispensing which is dependent on process parameters which make the grease dispensing. The properties of grease vary which depend on environmental conditions. In this paper the modeling of grease dispensing process using artificial intelligence method, fuzzy logic to optimize the flow of grease by considering the factors affecting the flow of grease and usage of automated system for grease dispensing process. The work involves usage of LabVIEW for modeling of fuzzy logic network Based on the results obtained a detailed discussions were made on how to implement the fuzzy logic system for optimization of flow of grease for the existing process. Further, the work also details the future scope of work that can be carried out.


2017 ◽  
Vol 295 ◽  
pp. 70-79
Author(s):  
Marta Gorzkiewicz ◽  
◽  
Małgorzata Grabowska ◽  
Tomasz Grzybowski ◽  
◽  
...  

The aim of the project was to develop a specific and at the same time economical method for detecting human blood in biological traces based on analysis of haemoglobin mRNA with use of PCR reaction in real time and non-specific SYBR Green detector. The test, which has eventually been developed enabled simultaneous analysis of melting curves for three fragments of various lengths: HBB61, HBA197 and HBB503, as well as an additional reference gene: mRNA β-actin. A definite identification was possible already for 0,1 μl of blood. The method is tissue and species specific. The analysed mRNA markers are characterized by high stability, as compared to haemoglobin detected by standard methods. The result of mRNA profiling shows the predictive value as regards quality of genetic material and occurrence of mixture of liquids. Results of analyses performed during the project indicate potential usefulness of HBB and HBA1 markers in routine forensic genetic examinations. However, it is necessary to carry out a broader spectrum of validation experiments, and particularly to analyse a larger number of actual biological casework and precisely determining an optimal quantity of RNA and identifying ontogenetic differences in the levels of expression.


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