{"id":{"repo_id":"lima","oai_identifier":"oai:repositorio.ulima.edu.pe:20.500.12724/20265"},"canonical_url":"https://search.dev.ndltd.org/etd/lima/oai:repositorio.ulima.edu.pe:20.500.12724/20265","repository":{"repo_id":"lima","name":"Universidad de Lima","base_url":"https://repositorio.ulima.edu.pe/oai/request"},"display":{"title":"Supply Chain optimization with two echelons in a small medium enterprise printing company","abstract":"This paper shows an optimized supply chain of a small-medium enterprise (SME) printing company. The methodology used was divided into two phases: phase I: identification of the current scenario and input analysis, and Phase II: implementation of the model with the application of Python, in which results were obtained from the optimization of the production plan, inventory plan, sales, plan and maintenance plan. With the validation of the software, a maximization was obtained with a profit of $58,113 per year. In addition to the modeling, it is possible to find the number of products to be produced in the following months of the year; that is to say, it is possible to foresee the number of inputs necessary to supply the company's demand.","abstract_html":"This paper shows an optimized supply chain of a small-medium enterprise (SME) printing company. The methodology used was divided into two phases: phase I: identification of the current scenario and input analysis, and Phase II: implementation of the model with the application of Python, in which results were obtained from the optimization of the production plan, inventory plan, sales, plan and maintenance plan. With the validation of the software, a maximization was obtained with a profit of $58,113 per year. In addition to the modeling, it is possible to find the number of products to be produced in the following months of the year; that is to say, it is possible to foresee the number of inputs necessary to supply the company's demand.","abstract_has_math":false,"creators":["Cardenas Yupanqui, Betsy Juistin","Garate Vasquez, Shirley Nataly"],"institution":"Universidad de Lima","degree_name":"Ingeniero Industrial","degree_level":"Título Profesional","degree_discipline":"Ingeniería Industrial","degree_department":null,"school":null,"contributors":[],"advisors":["Taquía Gutiérrez, José Antonio"],"committee_chairs":[],"committee_members":[],"year":2024,"date_issued":"2024","date_published":"2024","updated_at":"2026-07-24T02:49:59Z","subjects":["Imprenta","Cadena de suministro","Pequeñas y medianas empresas","Proceso de mejora continua","Printing","Supply chain management","Small business","Continuous improvement process"],"languages":["eng"],"rights":["info:eu-repo/semantics/openAccess"],"rights_urls":["https://creativecommons.org/licenses/by-nc-sa/4.0/"],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/20.500.12724/20265","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Taquía Gutiérrez, José Antonio"]},{"key":"dc:creator","label":"Author","values":["Cardenas Yupanqui, Betsy Juistin","Garate Vasquez, Shirley Nataly"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2024-04-22T17:14:53Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2024-04-22T17:14:53Z"]},{"key":"dc:date.issued","label":"Date","values":["2024"]},{"key":"dc:publisher","label":"Institution","values":["Universidad de Lima"]},{"key":"dc:type","label":"Dc Type","values":["info:eu-repo/semantics/bachelorThesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Ingeniería Industrial"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Título Profesional"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ingeniero Industrial"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Universidad de Lima. Facultad de Ingeniería"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Imprenta","Cadena de suministro","Pequeñas y medianas empresas","Proceso de mejora continua","Printing","Supply chain management","Small business","Continuous improvement process"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["info:eu-repo/semantics/openAccess"]},{"key":"dc:rights.uri","label":"Rights URI","values":["https://creativecommons.org/licenses/by-nc-sa/4.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/20.500.12724/20265"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This paper shows an optimized supply chain of a small-medium enterprise (SME) printing company. The methodology used was divided into two phases: phase I: identification of the current scenario and input analysis, and Phase II: implementation of the model with the application of Python, in which results were obtained from the optimization of the production plan, inventory plan, sales, plan and maintenance plan. With the validation of the software, a maximization was obtained with a profit of $58,113 per year. In addition to the modeling, it is possible to find the number of products to be produced in the following months of the year; that is to say, it is possible to foresee the number of inputs necessary to supply the company's demand.","Este trabajo muestra una cadena de suministro optimizada de una pequeña y mediana empresa (PYME) de impresión. La metodología utilizada se dividió en dos fases: fase I: identificación del escenario actual y análisis de insumos, y fase II: implementación del modelo con la aplicación de Python, en la cual se obtuvieron resultados de la optimización del plan de producción, plan de inventarios, plan de ventas y plan de mantenimiento. Con la validación del software, se obtuvo una maximización con un beneficio de $598,113 anuales. Además de la modelación, es posible encontrar el número de productos a ser producidos en los siguientes meses del año; es decir, es posible prever el número de insumos necesarios para abastecer la demanda de la empresa."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:source","label":"Dc Source","values":["Repositorio Institucional - Ulima","Universidad de Lima"]},{"key":"dc:title","label":"Title","values":["Supply Chain optimization with two echelons in a small medium enterprise printing company"]}]}],"canonical_facts":{"dc:contributor.advisor":["Taquía Gutiérrez, José Antonio"],"dc:creator":["Cardenas Yupanqui, Betsy Juistin","Garate Vasquez, Shirley Nataly"],"dc:date.accessioned":["2024-04-22T17:14:53Z"],"dc:date.available":["2024-04-22T17:14:53Z"],"dc:date.issued":["2024"],"dc:description.abstract":["This paper shows an optimized supply chain of a small-medium enterprise (SME) printing company. The methodology used was divided into two phases: phase I: identification of the current scenario and input analysis, and Phase II: implementation of the model with the application of Python, in which results were obtained from the optimization of the production plan, inventory plan, sales, plan and maintenance plan. With the validation of the software, a maximization was obtained with a profit of $58,113 per year. In addition to the modeling, it is possible to find the number of products to be produced in the following months of the year; that is to say, it is possible to foresee the number of inputs necessary to supply the company's demand.","Este trabajo muestra una cadena de suministro optimizada de una pequeña y mediana empresa (PYME) de impresión. La metodología utilizada se dividió en dos fases: fase I: identificación del escenario actual y análisis de insumos, y fase II: implementación del modelo con la aplicación de Python, en la cual se obtuvieron resultados de la optimización del plan de producción, plan de inventarios, plan de ventas y plan de mantenimiento. Con la validación del software, se obtuvo una maximización con un beneficio de $598,113 anuales. Además de la modelación, es posible encontrar el número de productos a ser producidos en los siguientes meses del año; es decir, es posible prever el número de insumos necesarios para abastecer la demanda de la empresa."],"dc:format":["application/pdf"],"dc:identifier.uri":["https://hdl.handle.net/20.500.12724/20265"],"dc:language.iso":["eng"],"dc:publisher":["Universidad de Lima"],"dc:rights":["info:eu-repo/semantics/openAccess"],"dc:rights.uri":["https://creativecommons.org/licenses/by-nc-sa/4.0/"],"dc:source":["Repositorio Institucional - Ulima","Universidad de Lima"],"dc:subject":["Imprenta","Cadena de suministro","Pequeñas y medianas empresas","Proceso de mejora continua","Printing","Supply chain management","Small business","Continuous improvement process"],"dc:title":["Supply Chain optimization with two echelons in a small medium enterprise printing company"],"dc:type":["info:eu-repo/semantics/bachelorThesis"],"thesis:degree_discipline":["Ingeniería Industrial"],"thesis:degree_level":["Título Profesional"],"thesis:degree_name":["Ingeniero Industrial"],"thesis:institution_name":["Universidad de Lima. Facultad de Ingeniería"]},"updated_at":"2026-07-24T02:49:59Z"}