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Profitability enhancement by digital transformation and canvas digital model on strategic processes in post-Covid-19 in logistics SMEs
(Elsevier, 2024)
Acceso abierto
The main objective of every Small and Medium Enterprise is to develop the ability to generate profits permanently over time; However, the Covid-19 pandemic significantly affected the global economy, generating an
average ...
Optimizing Warehouse Management in Footwear Commercial Companies: A Case Study on Lean-BPM
(Seventh Sense Research Group, 2024)
Acceso abierto
The article presents a case study on optimizing warehouse management in a footwear commercial company using the Lean-BPM methodology. The company experienced low performance in fulfilling complete and on-time orders, ...
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 ...
Enhancement of Productivity and Efficiency through a Service Model with Lean Service Tools-Case Study
(Seventh Sense Research Group, 2023)
Acceso abierto
This research aims to enhance productivity in the preparation and presentation of hamburgers at an artisanal
category restaurant. The goal is to increase productivity and efficiency while reducing reprocessing rates during ...
Productivity Enhancement through a Proposed Methodology in the Cutting Process of SMEs
(Seventh Sense Research Group, 2023)
Acceso abierto
The textile industry is still an essential sector in the global economy, and Peru, it plays a significant role in job creation. However, it often faces challenges such as a lack of innovation, high competition that decides ...
Minimization of Smashed Products in Sustenance Industries by Lean and Machine Learning Tools
(Seventh Sense Research Group, 2023)
Acceso abierto
This study focuses on developing a solution to one of the main problems in the food sector, product deterioration, often due to poor inventory management, low turnover, and lack of shelf-life control, among other causes. ...
Improving Demand Forecasting by Implementing Machine Learning in Poultry Production Company
(Seventh Sense Research Group, 2023)
Acceso abierto
The use of manual methods to forecast demand in perishable food companies is generally subject to the variability of internal and external factors in the company, causing excess inventories and significant monetary losses, ...
Minimization of Product Distribution Delays through An Integration Model of Lean Manufacturing Tools and A3 Report-Case Study
(Seventh Sense Research Group, 2023)
Acceso abierto
Latin American and Caribbean Gross Domestic Product (GDP) is about 70% of manufacturing. Product supply is vital for mass consumption enterprises due to population consumption. Improving value chain logistics maximizes ...
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 ...
A Proposed Model for Inventory Management to Minimize the Rate of Raw Materials Tied up of Textile Industry with Lean Engineering Tools
(Seventh Sense Research Group, 2023)
Acceso abierto
This research focuses on improving the stock rotation of the raw materials warehouse of a sheep wool yarn production plant. The objective is to reduce excessive operating costs, the misuse of resources and improve the ...