scholarly journals SISTEMA DE GESTIÓN DE INVENTARIOS PARA COMPAÑÍAS DE HARDWARE - CASO DE ESTUDIO

2021 ◽  
Vol 16 (8) ◽  
pp. 27-36
Author(s):  
ANA RODRÍGUEZ ◽  
◽  
TANIA SABOGAL CÁCERES ◽  
EVER FUENTES ROJAS
Keyword(s):  
Inventory Management ◽  
Goodness Of Fit ◽  
Information Quality ◽  
High Demand ◽  
Ishikawa Diagram ◽  
Abc Classification ◽  
Goodness Of Fit Tests ◽  
Inventory Management System ◽  
Main Factors ◽  
Made In

Some hardware assembly and marketing companies do not apply proper inventory management, causing failures in the product records, which can lead to shortages if there is an unexpected high demand, affecting the costs of ledgers and generating the need for an inventory management system. For this purpose, a methodological process was carried out, starting with the diagnosis, identifying the main factors that need to be improved concerning the management of merchandise, such as lack of inventory policies or reorder level, found through tools such as the SWOT, Ishikawa Diagram and Vester Matrix. Subsequently, an ABC classification was made, in which 1664 products are ordered and 118 of them belong to category A and applying goodness-of-fit tests. Then, the system is characterized and the mathematical models that adjust to the proposed conditions are selected: CEP without shortages and discount by suppliers, which is validated with a simulation. As a result of this process, the policy is established and a 95% improvement in the information quality is observed as a result. Variables part of the models are proposed and developed in the simulation and improve the system by 20% because they impact several products which are the most essential for the company.

Research on Management of Emergency Supplies Reserves For Integrated Military-Civilian

2012 ◽  
Vol 201-202 ◽  
pp. 987-990 ◽  
Author(s):  
Yu Lan Li ◽  
Ai Dong Guo ◽  
Su Jun Luo
Keyword(s):  
Inventory Management ◽  
Rational Design ◽  
Technology Development ◽  
Design Method ◽  
Variation Method ◽  
Dynamic Programming Method ◽  
Abc Classification ◽  
Inventory Management System ◽  
Multi Level ◽  
Optimal Type

Currently there are several aspects in the management of emergency material reserves, such as limited resources of emergency supplies reserves, lagging in the contingency reserve technology development and non-consistency of reserve process of emergency supplies. How to optimize the management of emergency supplies stored using rational design method is the focus of this study. On the basis of analysis of existing inadequate emergency supplies reserves in China, building three-level management mechanism of emergency supplies reserves in view of local, military and related organizations is proposed. The multi-level inventory management system is put forward according to fair share allocation method, ABC classification and statistics that have occurred in the case of disaster supplies needed. Based on the limited storage resources for emergency reserves, the relevant indicators coefficient is constructed by the Delphi method and the coefficient of variation method, and the optimal type of emergency supplies reserves is ultimately obtained through the dynamic programming method.

scholarly journals Dependence Modeling in Energy Markets using Sibuya-type Copulas

2017 ◽  
Vol 6 (3) ◽  
pp. 43
Author(s):  
Nikolai Kolev ◽  
Jayme Pinto
Keyword(s):  
Goodness Of Fit ◽  
Basic Assumption ◽  
Energy Markets ◽  
Dependence Structure ◽  
Dependence Function ◽  
Dependence Modeling ◽  
Goodness Of Fit Tests ◽  
Oil And Natural Gas ◽  
Error Terms ◽  
Time Invariant

The dependence structure between 756 prices for futures on crude oil and natural gas traded on NYMEX is analyzed  using  a combination of novel time-series and copula tools.  We model the log-returns on each commodity individually by Generalized Autoregressive Score models and account for dependence between them by fitting various copulas to corresponding  error terms. Our basic assumption is that the dependence structure may vary over time, but the ratio between the joint distribution of error terms and the product of marginal distributions (e.g., Sibuya's dependence function) remains the same, being time-invariant.  By performing conventional goodness-of-fit tests, we select the best copula, being member of the currently  introduced class of  Sibuya-type copulas.

scholarly journals Goodness-of-Fit Tests for Bivariate Time Series of Counts

Econometrics ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 10
Author(s):  
Šárka Hudecová ◽  
Marie Hušková ◽  
Simos G. Meintanis
Keyword(s):  
Goodness Of Fit ◽  
Probability Generating Function ◽  
Parametric Bootstrap ◽  
Real Data ◽  
Data Sets ◽  
Test Statistics ◽  
Finite Sample ◽  
Generalized Poisson ◽  
Goodness Of Fit Tests ◽  
Monte Carlo Experiments

This article considers goodness-of-fit tests for bivariate INAR and bivariate Poisson autoregression models. The test statistics are based on an L2-type distance between two estimators of the probability generating function of the observations: one being entirely nonparametric and the second one being semiparametric computed under the corresponding null hypothesis. The asymptotic distribution of the proposed tests statistics both under the null hypotheses as well as under alternatives is derived and consistency is proved. The case of testing bivariate generalized Poisson autoregression and extension of the methods to dimension higher than two are also discussed. The finite-sample performance of a parametric bootstrap version of the tests is illustrated via a series of Monte Carlo experiments. The article concludes with applications on real data sets and discussion.

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