Pub Date : 1900-01-01DOI: 10.4018/978-1-7998-0202-0.ch015
C. Fajardo-Toro, A. Astudillo, P. Sánchez, Paola Andrea Sanchéz Sanchéz, Alvaro José Fajardo-Toro
Companies must deal with a high uncertainty caused by the characteristics of the markets and the economic, political, and social environment in which they offer their products and services. These characteristics are defined by the preferences of the consumers, which have a high variety coupled with the digital era. On the other hand, there is the necessity to implement measures that align the companies with the sustainability concepts, because of both legislations as well as the image that the customer could have of them. Due to this context, the organizations must find a way to optimize process and structures that require high flexibility given the need of combining perfect innovation, customization, standardization, and sustainability. Part of this planning process is the construction of forecast models that allows predicting with high precisión. In this chapter, a theoretical exposition is done and a literature revision of machine learning techniques is applied to try to solve the forecasting problem with special emphasis in neural networks and Case-Based Reasoning - CBR.
{"title":"Case-Based Reasoning","authors":"C. Fajardo-Toro, A. Astudillo, P. Sánchez, Paola Andrea Sanchéz Sanchéz, Alvaro José Fajardo-Toro","doi":"10.4018/978-1-7998-0202-0.ch015","DOIUrl":"https://doi.org/10.4018/978-1-7998-0202-0.ch015","url":null,"abstract":"Companies must deal with a high uncertainty caused by the characteristics of the markets and the economic, political, and social environment in which they offer their products and services. These characteristics are defined by the preferences of the consumers, which have a high variety coupled with the digital era. On the other hand, there is the necessity to implement measures that align the companies with the sustainability concepts, because of both legislations as well as the image that the customer could have of them. Due to this context, the organizations must find a way to optimize process and structures that require high flexibility given the need of combining perfect innovation, customization, standardization, and sustainability. Part of this planning process is the construction of forecast models that allows predicting with high precisión. In this chapter, a theoretical exposition is done and a literature revision of machine learning techniques is applied to try to solve the forecasting problem with special emphasis in neural networks and Case-Based Reasoning - CBR.","PeriodicalId":106828,"journal":{"name":"Handbook of Research on Industrial Applications for Improved Supply Chain Performance","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117293685","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}
Pub Date : 1900-01-01DOI: 10.4018/978-1-7998-0202-0.ch001
Rebeca B Sánchez-Flores, Samantha E. Cruz-Sotelo, S. Ojeda-Benítez, Carlos R. Navarro-Gonzalez
The purpose of this chapter is to present an overview of current research on sustainable procurement identifying practices and case studies in supply chain that have been said to improve its performance from a global perspective. As an introduction, this chapter describes the importance of sustainability in supply chain, driving the discussion into the procurement process. Theoretical perspectives used in sustainable supply chain literature are presented, focusing on procurement management and the three dimensions of sustainability. The chapter discusses current procurement practices as a source of competitive advantage. It also highlights techniques, tools, and methodologies from research case studies, and presents sustainable procurement practices as a driver of performance improvement. Finally, this chapter provides further research directions and confirms sustainable procurement as a key process to performance enhancement in supply chain management, and as a source for global business improvement and competitive advantage achievement.
{"title":"Sustainable Procurement to Enhance Organizational Performance in Supply Chain Management","authors":"Rebeca B Sánchez-Flores, Samantha E. Cruz-Sotelo, S. Ojeda-Benítez, Carlos R. Navarro-Gonzalez","doi":"10.4018/978-1-7998-0202-0.ch001","DOIUrl":"https://doi.org/10.4018/978-1-7998-0202-0.ch001","url":null,"abstract":"The purpose of this chapter is to present an overview of current research on sustainable procurement identifying practices and case studies in supply chain that have been said to improve its performance from a global perspective. As an introduction, this chapter describes the importance of sustainability in supply chain, driving the discussion into the procurement process. Theoretical perspectives used in sustainable supply chain literature are presented, focusing on procurement management and the three dimensions of sustainability. The chapter discusses current procurement practices as a source of competitive advantage. It also highlights techniques, tools, and methodologies from research case studies, and presents sustainable procurement practices as a driver of performance improvement. Finally, this chapter provides further research directions and confirms sustainable procurement as a key process to performance enhancement in supply chain management, and as a source for global business improvement and competitive advantage achievement.","PeriodicalId":106828,"journal":{"name":"Handbook of Research on Industrial Applications for Improved Supply Chain Performance","volume":"186 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133220898","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}