Production最新文献_第3页

Interpreting direct sales’ demand forecasts using SHAP values 使用SHAP值解释直销需求预测

Production Pub Date : 2023-01-06 DOI: 10.1590/0103-6513.20220035

Mariana Arboleda-Florez, Carlos Castro-Zuluaga

{"title":"Interpreting direct sales’ demand forecasts using SHAP values","authors":"Mariana Arboleda-Florez, Carlos Castro-Zuluaga","doi":"10.1590/0103-6513.20220035","DOIUrl":"https://doi.org/10.1590/0103-6513.20220035","url":null,"abstract":"Paper aims: Several concerns regarding the lack of interpretability of machine learning models obstruct the implementation of machine learning projects as part of the demand forecasting process. This paper presents a methodology to support the introduction of machine learning into the forecasting process of a traditional direct sales company by providing explanations for the otherwise obscure results. We also suggest incorporating human knowledge inside the machine learning pipeline as an essential part of capturing the business logic and integrating machine learning into the existing processes. Originality: Using explainable machine learning methods on real-life company data demonstrates that machine learning techniques are functional beyond the academy and can be introduced to everyday companies’ production. Research method: The project used real-world data from a company and followed a traditional machine learning pipeline to collect, preprocess, select and train a machine learning model, to conclude with the explanation of the model results through the implementation of SHAP Main findings: The results provided insights regarding the contribution of the features to the forecast. We analyzed individual predictions to understand the behavior of different variables, proving helpful when interpreting complex machine learning models. Implications for theory and practice: This study contributes to a discussion about adopting new technology and implementing machine learning models for demand forecasting. The methodology presented in this paper can be used to implement similar projects on interested companies.","PeriodicalId":34960,"journal":{"name":"Production","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67578353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Energy efficiency decision-making in non-energy intensive industries: content and social network analysis 非能源密集型产业的能源效率决策:内容与社会网络分析

Production Pub Date : 2022-01-01 DOI: 10.1590/0103-6513.20210065

J. Martins, M. I. Morandi, D. P. Lacerda, Barbara Pisoni Bender Andrade

{"title":"Energy efficiency decision-making in non-energy intensive industries: content and social network analysis","authors":"J. Martins, M. I. Morandi, D. P. Lacerda, Barbara Pisoni Bender Andrade","doi":"10.1590/0103-6513.20210065","DOIUrl":"https://doi.org/10.1590/0103-6513.20210065","url":null,"abstract":"Paper aims: The present study aims to identify the limitations of the artifacts used in the decision-making process in the adoption of energy efficiency measures in productive systems, using non-intensive energy companies as a delimitation. Originality: Identifies authors and connections, the relationships between them and how these interactions contribute to the advancement of knowledge on the subject. Regarding energy efficiency, studies show that the real investment in initiatives in the industrial sector is below the full potential and that the artifacts used in the decision-making process have severe limitations when used in a complex and dynamic context. Research method: In this paper a systematic literature review was conducted from the Literature-Grounded Theory. Additionally, social network analysis was used. Main findings: It concludes that the approaches are limited to technical and financial factors and does not consider a systemic and dynamic understanding of different internal and external variables to the organization. Implications for theory and practice: The contribution of this study is that it identifies the initiatives that help in the process of decision-making for the adoption of energy efficiency measures in productive systems. Specifically, the focus of this study is on non-intensive energy companies. Scientific articles published in the main databases of management were selected.","PeriodicalId":34960,"journal":{"name":"Production","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67576641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Flexibility of operations in developing countries with Industry 4.0. A systematic review of literature 发展中国家在工业4.0时代的运营灵活性。对文献的系统回顾

Production Pub Date : 2022-01-01 DOI: 10.1590/0103-6513.20210055

Diana C. Tascón, G. Mejía, D. Rojas-Sánchez

{"title":"Flexibility of operations in developing countries with Industry 4.0. A systematic review of literature","authors":"Diana C. Tascón, G. Mejía, D. Rojas-Sánchez","doi":"10.1590/0103-6513.20210055","DOIUrl":"https://doi.org/10.1590/0103-6513.20210055","url":null,"abstract":"Paper aims: To provide guidelines on current state of the literature on aspects related to the implementation of Industry 4.0 (I4.0) for operations flexibility in emerging economies, and derived from this, propose a conceptual framework for the analysis of the main topics studied. Originality: Based on previous literature reviews on related topics (I4.0 and flexibility), we recognized an opportunity to focus on developing countries which until now has not been documented. Research method: We carried out a systematic review of the literature together with a topic cluster analysis. Main findings: The study revealed that there is a perceived consensus on how Industry 4.0 technologies can impact flexibility in emerging countries. Cloud computing is by far the most adopted technology despite the fact that there is a wide concern about security issues. The use of other technologies and their impact appears to be incipient. Implications for theory and practice: The study presented here can be used as a starting point for new directions of research in terms of adoption of these technologies and new applications developed and/or customized to the realities of emerging countries.","PeriodicalId":34960,"journal":{"name":"Production","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67576685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Prioritisation of barriers for supply chain management implementation in the Malaysian automotive industry 马来西亚汽车工业供应链管理实施障碍的优先排序

Production Pub Date : 2022-01-01 DOI: 10.1590/0103-6513.20210073

A. Anis, R. Islam, N. I. Hafit

引用次数: 0

Corporate social responsibility and competitiveness: a study of Brazilian multinationals 企业社会责任与竞争力:巴西跨国公司研究

Production Pub Date : 2022-01-01 DOI: 10.1590/0103-6513.20210111

Mary Fernanda de Sousa de Melo, R. Piao, Willerson Lucas Campos-Silva, Diogo Palheta Nery

引用次数: 1

A PRISMA-driven systematic review of data mining methods used for defects detection and classification in the manufacturing industry 一个prisma驱动的数据挖掘方法在制造业中用于缺陷检测和分类的系统回顾

Production Pub Date : 2022-01-01 DOI: 10.1590/0103-6513.20210097

Blanka Bártová, V. Bína, Lucie Váchová

{"title":"A PRISMA-driven systematic review of data mining methods used for defects detection and classification in the manufacturing industry","authors":"Blanka Bártová, V. Bína, Lucie Váchová","doi":"10.1590/0103-6513.20210097","DOIUrl":"https://doi.org/10.1590/0103-6513.20210097","url":null,"abstract":"Paper aims: This research aims to analyze the primary studies published in recent years focusing on defect detection or classification in manufacturing and extract information about frequently used data mining (DM) methods, their accuracy, strengths, and limitations. Originality: Industrial production is now undergoing a dynamic transformation in the context of Industry 4.0, where implementation of data mining is a frequently discussed topic, and such an overall summary is missing. Research method: In this study, the PRISMA-driven systematic literature review is combined with the approach defined by Kitchenham (2004). Main findings: The most frequently used data mining methods for defect detection are Bayesian network (BN) and Support vector machine (SVM). Besides previously mentioned methods, the Decision trees (DT) and Clustering are often used for defect classification. Neural Networks (NN) use is common for both defect detection and classification. DT, together with the Genetic algorithm (GA) and SVM, achieved the highest average accuracy. Recently, authors often combine different DM methods, and also methods for data dimensionality reduction are often used. Implications for theory and practice: This study contributes to the quality management literature by extending a summary of recently used DM methods for defect detection and classification. This summary can help researchers choose a suitable method and build models for achieving its research purpose.","PeriodicalId":34960,"journal":{"name":"Production","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67577388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Fuzzy multi-objective optimization of the energy transition towards renewable energies with a mixed methodology 混合方法下可再生能源转型的模糊多目标优化

Production Pub Date : 2022-01-01 DOI: 10.1590/0103-6513.20210132

F. G. Camargo

引用次数: 2

Developing and prioritizing lean key performance indicators for plastering supply chains 制定和优先考虑抹灰供应链的精益关键绩效指标

Production Pub Date : 2022-01-01 DOI: 10.1590/0103-6513.20220054

Ana Carolina de Oliveira, W. Silva, D. Morais

引用次数: 4

Digital competences of the industrial engineer in industry 4.0 a systematic vision 工业4.0中工业工程师的数字化能力是一个系统的愿景

Production Pub Date : 2022-01-01 DOI: 10.1590/0103-6513.20220028

W. Quintero

引用次数: 1

A prioritization approach based on VFT and AHP for group decision making: a case study in the military operations 基于VFT和AHP的群体决策优先排序方法:军事行动中的案例研究

Production Pub Date : 2022-01-01 DOI: 10.1590/0103-6513.20210059

Ygor Logullo, Vinícius Bigogno-Costa, Amanda Cecília Simões da Silva, M. Belderrain

{"title":"A prioritization approach based on VFT and AHP for group decision making: a case study in the military operations","authors":"Ygor Logullo, Vinícius Bigogno-Costa, Amanda Cecília Simões da Silva, M. Belderrain","doi":"10.1590/0103-6513.20210059","DOIUrl":"https://doi.org/10.1590/0103-6513.20210059","url":null,"abstract":"Paper Aims: This paper aims to develop an approach to support group decision making combining methods and tools to a holistic MCDA process. Originality : Authors have been using Value-Focused Thinking (VFT) for structuring problems with different MCDA methods, but there is a lack of a process that defines a clear transition from VFT to those methods. Here we propose a process to fill this gap. Research method : Rich Picture and VFT structure the problem and elicit objectives that become criteria within a decision hierarchy. Analytic Hierarchy Process (AHP) with ratings supports preference elicitation and sensitivity analysis in the judgment weights of decision-makers. Main findings : VFT is effective for eliciting the decision structure to AHP; using weight distribution of stakeholders may affect the results, and the multimethodology approach developed here can deal with group decision making. Implications for theory and practice : The approach developed is effective in complex environments (complex problems and multiple stakeholders) because it focuses on values and defines a process to bring those values into a multicriteria method. Furthermore, sensitivity analysis with the judgment weights of the different stakeholders may be useful in negotiation.","PeriodicalId":34960,"journal":{"name":"Production","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67576489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6