Paola Leon Andia, Lilian Gonzales Camarena, Gino Viacava Campos, J. A. Merino
{"title":"Model for the Optimization of the Supply Process in a MYPE Associated with the Consortium of the Metalworking Sector","authors":"Paola Leon Andia, Lilian Gonzales Camarena, Gino Viacava Campos, J. A. Merino","doi":"10.1109/ICITM52822.2021.00018","DOIUrl":null,"url":null,"abstract":"The problem consists of inefficient supply management, which is reflected on the on-time order delivery indicator. Generating order delays of up to seven days, in a metalworking SME (Small and Medium Enterprise) that works by order. Faced by this problem, a supply and inventory management model is formulated that includes the implementation of SLP (Sistematic Layout Planning), BPMN (Business Process Model and Notation), inventory management, diagnosed through the SCOR methodology (Supply Chain Operations Reference Model). In this model, a first diagnosis of the current situation is made through the SCOR questionnaire due to its practicality and flexibility to perform the analysis in diversed companies. The implementation of SLP Layout is included, allocating an adequate distribution of spaces for the resources stored in the inventory. In addition, the Business Process Model and Notation is included allowing to focus the investigation on control flows and distinguish the activities of the personnel. Likewise, the BPA and the kraljick matrix contribute by creating a basis for the classification of inputs and identification of the frequency of use of each of these, which will later serve in inventory management. The effectiveness of the proposal was measured through the implementation of a pilot project in a manufacturing company, where the indicator of on-time deliveries increased by 41.40% and the service level from the warehouse to production was improved by approximately 51.59%","PeriodicalId":199569,"journal":{"name":"2021 10th International Conference on Industrial Technology and Management (ICITM)","volume":"259 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 10th International Conference on Industrial Technology and Management (ICITM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITM52822.2021.00018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The problem consists of inefficient supply management, which is reflected on the on-time order delivery indicator. Generating order delays of up to seven days, in a metalworking SME (Small and Medium Enterprise) that works by order. Faced by this problem, a supply and inventory management model is formulated that includes the implementation of SLP (Sistematic Layout Planning), BPMN (Business Process Model and Notation), inventory management, diagnosed through the SCOR methodology (Supply Chain Operations Reference Model). In this model, a first diagnosis of the current situation is made through the SCOR questionnaire due to its practicality and flexibility to perform the analysis in diversed companies. The implementation of SLP Layout is included, allocating an adequate distribution of spaces for the resources stored in the inventory. In addition, the Business Process Model and Notation is included allowing to focus the investigation on control flows and distinguish the activities of the personnel. Likewise, the BPA and the kraljick matrix contribute by creating a basis for the classification of inputs and identification of the frequency of use of each of these, which will later serve in inventory management. The effectiveness of the proposal was measured through the implementation of a pilot project in a manufacturing company, where the indicator of on-time deliveries increased by 41.40% and the service level from the warehouse to production was improved by approximately 51.59%