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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, ...
Impact of Bayesian Approach to Demand Management in Supply Chains for the Consumption of Dynamic Products
(Instituto Politécnico Nacional, 2023)
Acceso abierto
Bayesian approach was applied to the management of the supply chain in a dynamic food product portfolio for a company in the retail sector. We propose a quasi-experimental method considering pre and posttest and a control ...
Toward noninvasive monitoring of plant leaf water content by electrical impedance spectroscopy
(Elsevier, 2023)
Acceso restringido
Plant water content is one key factor that affects the wellbeing of plants. Furthermore, detecting plant water needs in a timely manner is important when considering irrigation strategies (water management). A first step ...
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 ...
Acquisition and analysis of floc images by machine learning technique to improve the turbidity removal process
(Desalination Publications, 2023)
Acceso restringido
his article reports on the implementation and use of a floc image acquisition and analysis system in a pilot water treatment plant to remove kaolin turbidity with a coagulant and flocculant. The system is based on the ...
Traditional Machine Learning based on Atmospheric Conditions for Prediction of Dengue Presence
(Centro de Investigación en Computación del Instituto Politécnico Nacional, 2023)
Acceso abierto
The dengue virus has become an increasingly critical problem for humanity due to its extensive spread. This is transmitted through a vector that sprouts in certain climatic conditions (tropical and subtropical climates). ...
Design of Functional Powdered Beverages Containing Co-Microcapsules of Sacha Inchi P. huayllabambana Oil and Antioxidant Extracts of Camu Camu and Mango Skins
(Multidisciplinary Digital Publishing Institute (MDPI), 2022)
Acceso abierto
Sacha inchi Plukenetia huayllabambana oil (SIPHO) was co-microencapsulated, by spray drying using gum arabic as a coating material, with antioxidant extracts of camu camu (Myrciaria dubia (HBK) McVaugh) (CCSE) and mango ...
Improving service level performance by Implementing lean six sigma in smes of the gaming peripherals industry in Peru: a case study
(South African Institute of Industrial Engineering, 2022)
Acceso abierto
Lean Six Sigma (LSS) is one of the essential and applicable techniques for any organisation in the 21st century, including small and medium-sized enterprises (SMEs), that wish to grow their competitive advantages. The LSS ...