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Service Model Based on 5s, Kanban and Standardization of Work to Reduce Rate of Non-service in the Retail Sector
(Springer Science and Business Media Deutschland GmbH, 2024)
Acceso restringido
In this study, the relevance of strengthening operations in the Commerce sector is highlighted, since it expands economic opportunities. In addition, within the field of commerce are the retail industries or department ...
Design and Development of Electronic Devices for Assessing Correct Use of Respirator Masks at Workplaces
(Institute of Electrical and Electronics Engineers Inc., 2024)
Acceso restringido
Silicosis is a type of pneumoconiosis caused by repeated inhalation of silica dust, leading to pulmonary fibrosis and bronchial problems. It is also a progressive and irreversible disease, causing temporary or permanent ...
Stockout Reduction Using Forecasting Methods, the EOQ Model and a Safety Stock in a Peruvian SME in the Commercial Sector
(Springer Science and Business Media Deutschland GmbH, 2024)
Acceso restringido
Effective inventory management is a constant challenge for SMEs. Stockouts represent a significant obstacle that affects the operability and profitability of these companies. The aim of this study is to develop an affordable ...
Lean Six Sigma and TPM for the Improvement of Equipment Maintenance Process in a Service Sector Company: A Case Study
(Springer Science and Business Media Deutschland GmbH, 2024)
Acceso restringido
Currently, competitiveness within the service industry has reached outstanding levels. In the pursuit of increasing the quality and efficiency of services, the approaches of continuous improvement acquire undeniable ...
Novel Thiosemicarbazone Derivatives from Furan-2-Carbaldehyde: Synthesis, Characterization, Crystal Structures, and Antibacterial, Antifungal, Antioxidant, and Antitumor Activities
(Hindawi Limited, 2023)
Acceso abierto
Ten new thiosemicarbazone derivatives, furan-2-carbaldehyde thiosemicarbazone (1), 3-methyl-furan-2-carbaldehyde thiosemicarbazone (2), 5-hydroxymethyl-furan-2-carbaldehyde thiosemicarbazone (3), 5-trifluoromethyl-furan- ...
Increased On-Time In-Full orders rate in a mass-consumption warehouse by applying Lean Warehouse tools: A case Study
(Latin American and Caribbean Consortium of Engineering Institutions, 2023)
Acceso abierto
The FMCG sector is developing globally and has maintained exponential growth in recent years. However, this growth is hampered by various challenges and issues affecting customer satisfaction, leading to a significant ...
Service model based on Lean Service: Standardized Work and 5S to increase customer satisfaction in a veterinary SME
(Latin American and Caribbean Consortium of Engineering Institutions, 2023)
Acceso abierto
Companies in the veterinary services sector face the challenge of providing optimal customer service. This sector contributes 40% of the national Gross domestic product and concentrates 48% of formal employment. Considering ...
Reduction of Waste Generation Using Lean Manufacturing in a Peruvian Craft Brewery. An Empirical Review
(Association for Computing Machinery, 2023)
Acceso restringido
The craft brewery sector is growing in the alcoholic beverage market; however, they face high costs and limitations that limit its growth. This is because companies in this sector are SMEs and need to be more efficient in ...
Application of the Use of Time Series Models: Tropospheric Nitrogen Dioxide (NO2) in Different Meteorological Systems in Two Districts of the City of Lima
(Seventh Sense Research Group, 2023)
Acceso abierto
This research will address air pollution, a severe problem in all world cities, because it negatively affects people's health and deteriorates the ecosystem. NO2 is a gas linked to acid rain formation and various reactions ...
Improving Demand Analysis and Supply Chain Management for Hair Products During the COVID-19 Pandemic: A Machine Learning Approach
(Seventh Sense Research Group, 2023)
Acceso abierto
This research analyzes the demand for hair care products during the COVID-19 pandemic. Two forecasting models, Arima and Sarima, based on Machine Learning technology, were proposed to improve data analysis and supply chain ...