5,826 research outputs found
The optimal ordering policy with trade credit under two different payment methods
[[abstract]]Suppliers’ offering delay payment terms to retailers can be regarded as a type of price reduction. In today’s ever competitive marketplace, offering delay payments has become a commonly adopted method to suppliers. Most of the inventory models with permissible delay in payments assumed that the entire lot size is delivered at the same time. However, in practice, goods ordered are usually arrived overtime in separate batches. In this study, we discuss an inventory problem with a finite replenishment rate under trade credit for two payment methods. We establish a theorem to find the optimal solution for each payment method. Numerical examples are also given to illustrate the solution procedure. Finally, to investigate the effect of changes of some main parameter values on the optimal solution, a sensitivity analysis is performed and some management interpretations are proposed.[[journaltype]]國外[[incitationindex]]SCI[[ispeerreviewed]]Y[[booktype]]紙本[[countrycodes]]DE
Analyzing children’s lying behaviors with fuzzy logics
Lying behaviors; Fuzzy clustering[[abstract]]The purpose of this study is to explore children lying as they relate to responsive behavior and motivations in elementary schools. Conducting nonparametric procedures by using the fuzzy questionnaire, the study seeks to address the fuzzy mode, fuzzy nonparametric test, and fuzzy cluster analysis to clarify the lying related data. The study shows that using fuzzy logics to detect lying behaviors is a practical method to improve the traditional one. The fuzzy methods also reveal that students were afraid of being caught when they lied, and that they tended to be more tensed when lying. Students were not concerned with whether their lying made people felt bad. When students lie, they tended toward nervous.[[journaltype]]國外[[ispeerreviewed]]Y[[booktype]]紙本[[booktype]]電子版[[countrycodes]]JP
Forecasting bus passenger flows by using a clustering-based support vector regression approach
As a significant component of the intelligent transportation system, forecasting bus passenger
flows plays a key role in resource allocation, network planning, and frequency setting. However, it remains
challenging to recognize high fluctuations, nonlinearity, and periodicity of bus passenger flows due to
varied destinations and departure times. For this reason, a novel forecasting model named as affinity
propagation-based support vector regression (AP-SVR) is proposed based on clustering and nonlinear
simulation. For the addressed approach, a clustering algorithm is first used to generate clustering-based
intervals. A support vector regression (SVR) is then exploited to forecast the passenger flow for each
cluster, with the use of particle swarm optimization (PSO) for obtaining the optimized parameters. Finally,
the prediction results of the SVR are rearranged by chronological order rearrangement. The proposed model
is tested using real bus passenger data from a bus line over four months. Experimental results demonstrate
that the proposed model performs better than other peer models in terms of absolute percentage error and
mean absolute percentage error. It is recommended that the deterministic clustering technique with stable
cluster results (AP) can improve the forecasting performance significantly.info:eu-repo/semantics/publishedVersio
Same-Sign Dilepton Excesses and Vector-like Quarks
Multiple analyses from ATLAS and CMS collaborations, including searches for
ttH production, supersymmetric particles and vector-like quarks, observed
excesses in the same-sign dilepton channel containing b-jets and missing
transverse energy in the LHC Run 1 data. In the context of little Higgs
theories with T parity, we explain these excesses using vector-like T-odd
quarks decaying into a top quark, a W boson and the lightest T-odd particle
(LTP). For heavy vector-like quarks, decay topologies containing the LTP have
not been searched for at the LHC. The bounds on the masses of the T-odd quarks
can be estimated in a simplified model approach by adapting the search limits
for top/bottom squarks in supersymmetry. Assuming a realistic decay branching
fraction, a benchmark with a 750 GeV T-odd b-prime quark is proposed. We also
comment on the possibility to fit excesses in different analyses in a common
framework.Comment: 1+17 pages and 11 figure
Dark matter for excess of AMS-02 positrons and antiprotons
We propose a dark matter explanation to simultaneously account for the excess
of antiproton-to-proton and positron power spectra observed in the AMS-02
experiment while having the right dark matter relic abundance and satisfying
the current direct search bounds. We extend the Higgs triplet model with a
hidden gauge symmetry of that is broken to by a quadruplet
scalar field, rendering the associated gauge bosons stable weakly-interacting
massive particle dark matter candidates. By coupling the complex Higgs triplet
and the quadruplet, the dark matter candidates can annihilate into
triplet Higgs bosons each of which in turn decays into lepton or gauge boson
final states. Such a mechanism gives rise to correct excess of positrons and
antiprotons with an appropriate choice of the triplet vacuum expectation value.
Besides, the model provides a link between neutrino mass and dark matter
phenomenology.Comment: 12 pages, 3 figures, references and comments added, version to appear
in Phys. Lett.
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