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Implementing Lean Warehousing model to increase on time and in full of an SME commercial company: A research in Perú
(Association for Computing Machinery, 2023)
Acceso restringido
The commercial sector currently has high demands for fast and accurate delivery of orders; however, there is a trend of increasing customer dissatisfaction that directly impacts product returns; this is mainly related to ...
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 ...
Management model based on Lean, S&OP and SLP to increase the service level in a MSE in the brewery sector
(Latin American and Caribbean Consortium of Engineering Institutions, 2023)
Acceso abierto
This article is developed in a warehouse of a trading company belonging to the beer industry, which plays an essential role in the supply chain, since it favors delivery times and reduces financial losses in the warehouse, ...
Inventory management model based on Demand Forecasting, 5S, BPM and Max-Min to improve turnover in commercial enterprises
(IEEE, 2022)
Acceso restringido
The commercial sector in Peru has been developing progressively over the years, projecting an average growth of 4.4% per year for the period 2022-2024. For this reason, commercial companies must be more prepared than ever ...
Production Management Model Based on Lean Manufacturing and SPL to Increase Productivity in Clothing SMEs
(IEEE, 2022)
Acceso restringido
Micro and small businesses currently have a low performance in productivity indicators in the clothing industry. For this reason, a management model in production is presented, whose main objective is to increase the ...
Production Model Integrating TOC and Lean for Lead Time Reduction in Chemical Manufacturing: An Empirical Research in Peru
(Association for Computing Machinery, 2022)
Acceso restringido
The chemical industry allows the creation of a wide range of products such as polymers, emulsions, among others. In the world, this sector generates $5.7 billion of the world's Gross Domestic Product (GDP), and in Peru it ...
Proposal of production model based on Lean and Continuous Improvement to improve the productivity in SMEs of baking: an empirical investigation in Peru
(Association for Computing Machinery, 2022)
Acceso restringido
In Peru, the food industry represents 16.52% of GDP and bread is one of the foods that generated the highest consumption; however, despite the demand, bakery SMEs have a negative performance. Poor process management and ...
Reduction of order delivery time using Kanban, TPM and 5S in a Peruvian textile factory. An empirical review
(IEEE, 2022)
Acceso restringido
The importance of reducing delivery times is vital for customer loyalty and the reduction of losses due to cancellation of orders, this being the problem that was developed in the investigation. After recollecting the data, ...
Service Management Model Based on Lean Service and Systematic Layout Planning for the Improvement of Customer Satisfaction in an SME in the Restaurant Sector in Peru
(Association for Computing Machinery, 2022)
Acceso restringido
The restaurant industry is a sector of great importance in Peru, which was one of the most affected during the pandemic due to the sanitary measures that prevented its normal operation. Once these measures were diminished ...
Service Model under the Lean Service and Machine Learning Approach to Increase External User Satisfaction: A case study in the health sector SMEs in Peru
(Association for Computing Machinery, 2022)
Acceso restringido
The problem identified in the health sector was the low level of external user satisfaction in medical health centres. Due to this, a model based on Lean methodology (TPM and work standardization) and machine learning were ...