Bibliographic citations
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González, M., Tang, S. (2022). Effort Optimization Model in Warehouse Manual Picking. Case Study: Tusan Distribuidores [Universidad de Lima]. https://hdl.handle.net/20.500.12724/17465
González, M., Tang, S. Effort Optimization Model in Warehouse Manual Picking. Case Study: Tusan Distribuidores []. PE: Universidad de Lima; 2022. https://hdl.handle.net/20.500.12724/17465
@misc{renati/1440529,
title = "Effort Optimization Model in Warehouse Manual Picking. Case Study: Tusan Distribuidores",
author = "Tang Yep, Sebastian",
publisher = "Universidad de Lima",
year = "2022"
}
Full metadata record
Larios Francia, Rosa Patricia
González Cáceres, Mateo Antonio
Tang Yep, Sebastian
2023-01-25T14:52:20Z
2023-01-25T14:52:20Z
2022
González Cáceres, M. A. & Tang Yep, S. (2022). Effort Optimization Model in Warehouse Manual Picking. Case Study: Tusan Distribuidores [Tesis para optar el Título Profesional de Ingeniero Industrial, Universidad de Lima]. Repositorio institucional de la Universidad de Lima. https://hdl.handle.net/20.500.12724/17465 (es_PE)
https://hdl.handle.net/20.500.12724/17465
A recurring and expensive operation in company’s warehouses is the picking. Operators who execute this activity perform repetitive physical movements and carry objects constantly, which can trigger
musculoskeletal disorders. Adittionally, there is a great consumption of energy by the operators, which
could have negative consequences in the long term. Health damages could reduce the quality of the
company’s service and productivity due to the increase in absenteeism of the personnel because of the
recovery. The objective of the investigation is the application of an optimization model to reduce energy
consumption during picking through the redistribution of product lines within a warehouse. The warehouse
under study belongs to a Peruvian distributor with several lines of products for mass consumption. The applied model will be the one proposed by Diefenbach & Glock. The data of the current situation taken
were: demand, average weights per line, efforts, distances and locations, which were coded in “A
Mathematical Programming Language” (AMPL) and solved using the CPLEX solver. The results show
4.4% reduction in energy expenditure compared to the current distribution and 6.0% compared to randomly
generated distributions. Finally, the optimal distribution by product lines is presented as a result of the
modelling that reduces effort. (en_EN)
application/pdf
eng
Universidad de Lima
info:eu-repo/semantics/openAccess (*)
https://creativecommons.org/licenses/by-nc-sa/4.0/ (*)
Repositorio Institucional Ulima
Universidad de Lima
Almacenes (es_PE)
Trabajadores (es_PE)
Sistemas de preparación de pedidos (es_PE)
Distribución física de mercancías (es_PE)
Sistema musculoesquelético (es_PE)
Estudios de prefactibilidad (es_PE)
Ergonomía
Warehouses (en_EN)
Employees (en_EN)
Order picking systems (en_EN)
Physical distribution of goods (en_EN)
Musculoskeletal system (en_EN)
Human engineering (en_EN)
Prefeasibility studies (en_EN)
Ingeniería industrial / Producción y logística (es_PE)
Effort Optimization Model in Warehouse Manual Picking. Case Study: Tusan Distribuidores (en_EN)
info:eu-repo/semantics/bachelorThesis
Universidad de Lima. Facultad de Ingeniería y Arquitectura
Ingeniería Industrial
Título profesional
Ingeniero Industrial
PE
https://purl.org/pe-repo/ocde/ford#2.11.04
http://purl.org/pe-repo/renati/level#tituloProfesional (*)
9304466
https://orcid.org/0000-0002-1471-9185
76535279
72815476
722026
Quiroz Flores, Juan Carlos
Larios Francia, Rosa Patricia
Collao Diaz, Martin Fidel
https://purl.org/pe-repo/renati/type#tesis (*)
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