Transnational companies, operating in extremely competitive global markets, always seek to lower different operating costs, such as inventory holding costs in their intra- supply chain system. This paper incorporates a cost reducing product distribution policy into an intra-supply chain system with multiple sales locations and quality assurance studied by [Chiu et al., Expert Syst Appl, 40:2669-2676, (2013)]. Under the proposed cost reducing distribution policy, an added initial delivery of end items is distributed to multiple sales locations to meet their demand during the production unit's uptime and rework time. After rework when the remaining production lot goes through quality assurance, n fixed quantity installments of finished items are then transported to sales locations at a fixed time interval. Mathematical modeling and optimization techniques are used to derive closed-form optimal operating policies for the proposed system. Furthermore, the study demonstrates significant savings in stock holding costs for both the production unit and sales locations. Alternative of outsourcing product delivery task to an external distributor is analyzed to assist managerial decision making in potential outsourcing issues in order to facilitate further reduction in operating costs.
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http://dx.doi.org/10.1186/s40064-015-1498-1 | DOI Listing |
BMJ Open
January 2025
Department of Economics, University of Indonesia Faculty of Economics and Business, Depok, Jawa Barat, Indonesia.
Objectives: To investigate the relationship between purchasing loose cigarettes and adolescent smoking habits in Indonesia.
Design And Setting: This study employed a mixed-methods sequential explanatory design. We analysed the secondary data from a national survey, the 2019 Global Youth Tobacco Survey, using multivariable logistic regression models to examine the association between loose cigarette purchase and smoking frequency and intensity and nicotine dependence.
PLoS One
January 2025
College of Economics and Management, Shanghai Maritime University, Shanghai, China.
The dry bulk shipping market plays a crucial role in global trade. To examine the volatility, correlation, and risk spillover between freight rates in the BCI and BPI markets, this paper employs the GARCH-Copula-CoVaR model. We analyze the dynamic behavior of the secondary market freight index for dry bulk cargo, highlighting its performance in a complex financial environment and offering empirical support for the shipping industry and financial markets.
View Article and Find Full Text PDFBMJ Open
January 2025
Postgraduate Program in Pharmaceutical Sciences, Federal University of Espirito Santo, Vitoria, Espírito Santo, Brazil
Objective: Our study evaluated the prevalence of hypertension in a population of Brazilian firefighters and the association of elevated blood pressure (BP) with personal, occupational, and cardiovascular risk factors.
Design: This was a cross-sectional study.
Setting: Our study was based on health inspections of the Military Fire Brigade of the Espírito Santo State, Brazil, performed in 2019.
Acta Ortop Bras
January 2025
Universidade Federal de Sao Paulo, Centro de Traumatologia do Esporte CETE, Departamento de Ortopedia e Traumatologia DOT-UNIFESP/EPM, Sao Paulo, SP, Brazil.
Objective: Soccer shows a high incidence of injuries and its cause is multifactorial. The impacts of the coronavirus pandemic are unknown. This study aims to evaluate the incidence of injuries in the 2023 Campeonato Paulista de Futebol (São Paulo Soccer Championship) and compare it to the championships prior to the pandemic.
View Article and Find Full Text PDFSci Rep
January 2025
Faculty of Business and Commerce, Kansai University, Osaka, 5648680, Japan.
In field of location prediction, trajectory recognition is one of the most widely research issues. Since trajectory includes various information such as position, time, and speed, many scientific methods are applied to extracting meaningful features, and discovering valuable knowledges. This paper pays more attention on case study of in-store trajectory, and proposes a series of recurrent neural network (RNN) for location prediction based on trajectory.
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