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Dynamic Data Mining for Improved Forecasting in Logistics and Supply Chain Management [chapter]

Richard Weber, Jose Guajardo
Dynamics in Logistics  
Cherkassky and Y. Ma.: Practical selection of SVM parameters and noise estimation for SVM regression.  ...  SVM -Basics Y t = f (Y t-j , …, Y t-n ;X 1t-i , X 1t-j ,…; X 2t-k , X 2t-h …;…) SVR: General model description SVR PARAMETERS Data Target Objective function: Minimize R y R x y x y x m i n n ∈ ∈  ... 
doi:10.1007/978-3-540-76862-3_4 dblp:conf/ldic/WeberG07 fatcat:3idgsxgawffk5b6xlctyvb4fai


2013 International Journal of Information Technology and Decision Making  
This paper proposes a framework of business analytics for supply chain analytics (SCA) as IT-enabled, analytical dynamic capabilities composed of data management capability, analytical supply chain process  ...  This paper also presents a dynamic-capabilities view of SCA and extensively describes a set of its three capabilities: data management capability, analytical supply chain process capability, and supply  ...  This framework describes BA for supply chain (or SCA) as IT-enabled, analytical dynamic capabilities for managing data, supply chain processes, and supply chain performance.  ... 
doi:10.1142/s0219622013500016 fatcat:jmnc4zbunjhbnb6oe3rs4yuau4

Construction of Knowledge Service Model of Guizhou Supply Chain Enterprises Based on Big Data

Boren Gao
2022 International Journal of Information Systems and Supply Chain Management (IJISSCM)  
The effect of big data technology on supply chain logistics mode is analyzed, and the current situation of logistics industry modernization in Guizhou province is discussed.  ...  To realize the optimization of supply chain collaborative innovation in the era of big data, the platform of the collection, analysis, mining and application of massive data resources is needed.  ...  The advanced analysis technology in big data can be quickly integrated into the whole supply chain to improve the management ability and value of the supply chain.  ... 
doi:10.4018/ijisscm.290016 fatcat:3sur7hvfwfemdkqutfomzkrina

Research on Collaborative Innovation Strategy of Smart Supply Chain in the Big Data Era

Wang He, Huang Xiang, G. Kierans, H. Liu, E.H.K. Ng
2021 E3S Web of Conferences  
finally puts forward the collaborative innovation strategy for smart supply chain in the Big Data Era, Providing reference for collaborative innovation development of enterprise supply chain.  ...  The paper analyzes the development opportunities of smart supply chain in the Big Data Era, summarizes the problems encountered in the application of big data in the smart supply chain at this stage, and  ...  Enterprises should innovate supply chain management models, create a customer-centric, big data-driven smart supply chain, and improve logistics service level and user experience, providing support for  ... 
doi:10.1051/e3sconf/202123503073 fatcat:ieihc3yifnbqbfu2otoeka3nye

Prediction Modelling of Cold Chain Logistics Demand Based on Data Mining Algorithm

Bo He, Lvjiang Yin, Ernesto Zambrano-Serrano
2021 Mathematical Problems in Engineering  
In terms of cold chain logistics, data mining also exerts positive effects on it.  ...  more accurate reference for the strategic deployment of logistics management such as optimizing automation and innovation in cold chain processes to adapt to the trend.  ...  According to the findings, in cold chain logistics and supply chain management, the use of neural network algorithm models for demand forecasting should be more popularized, and more appropriate mathematical  ... 
doi:10.1155/2021/3421478 fatcat:bg7xdadtq5glxeqyixtkn7dol4

Rational Precious Metals Supply Schemes

Anna Kurbatova, Petr Kurenkov, Anastasia Safronova, Margarita Kuzina, A. Mottaeva
2019 E3S Web of Conferences  
The algorithm of the process of introducing a new supply chain planning system for Vysochaishy PJSC is considered, and an improved strategic planning process for PJSC "Vysochaishy" is present.  ...  The main problems in the supply chain of PJSC "Vysochaishy" are identify.  ...  The main goal of the planning process for the supply chain of a gold mining company is to provide accurate demand forecasts, optimize replenishment programs, create realistic production plans and create  ... 
doi:10.1051/e3sconf/201913801039 fatcat:udpe5a7ylfbr5a7tn65k6zispe

Research on the Management System of enterprises using Modern Logistics Supply Chain Theory

Lanqing Liu
2011 Procedia Engineering  
To overcome this problem, this paper has presented a new management system of material supplies based on the modern Logistics supply chain theory for the enterprise material supply management.  ...  This chain structure can help the Logistics cost reduction, and improve the enterprise's core competitiveness. The function design of the chain system components has been discussed.  ...  The research of logistics and supply chain management Logistics and supply chain are two different concepts, not only in definition, but also in actual practice [9] .  ... 
doi:10.1016/j.proeng.2011.11.2725 fatcat:wv72t67qifaxjhf7edywravjpe

Big Data Analytics in Supply Chain Management: A Systematic Literature Review and Research Directions

In Lee, George Mangalaraj
2022 Big Data and Cognitive Computing  
Big data analytics has been successfully used for various business functions, such as accounting, marketing, supply chain, and operations.  ...  In light of the great interest and evolving nature of big data analytics in supply chains, this study conducts a systematic review of existing studies in big data analytics.  ...  Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/bdcc6010017 fatcat:lhlrkz4a5jgrfmhe4e2gtmjeiq

An overview of big data analytics application in supply chain management published in 2010-2019

Iman Ghalehkhondabi, Ehsan Ahmadi, Reza Maihami
2020 Production  
Data mining applications for logistics management are threefold: 1-Data analysis to match the needs of both logistics process management and the customer; 2-Data analysis to manage the logistics process  ...  Big data also improves the knowledge management in supply chains, which can increase the supply chain throughput by improving product development.  ... 
doi:10.1590/0103-6513.20190140 fatcat:fkixz6fnprcotdzp2nsxhcvgyq

Modeling, Planning, and Control of Complex Logistic Processes

Hamid R. Karimi, Neil Duffie, Michael Freitag, Michael Lütjen, Mohammed Chadli
2015 Mathematical Problems in Engineering  
There are many different technologies emerging for helping to improve complex supply chain logistics, for example, sensor networks, mass data management, and decentralized control.  ...  In recent years, complex logistic processes and supply chains have been considered to be among the most important activities in the modern economy and societies, and it is well known that they are subject  ...  Acknowledgments We would like to express appreciation to the authors for their excellent contributions and also the reviewers for their hard work in reviewing the submissions.  ... 
doi:10.1155/2015/184267 fatcat:zp2dek3rfrdntovc3n2npm4g2a


Hazar DORDUNCU, Zemzem Selin ORUÇ
2021 Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi  
Logistics and supply chain management has been affected by the developments in systems that are being digitized day by day.  ...  The purpose of this paper is to cover digital developments, their applications, and their impacts on logistics and supply chain management.  ...  The data transfer within these systems can also help gain and analyze the insight information. Therefore, the supply chains and the logistics can have improved forecasting.  ... 
doi:10.35379/cusosbil.974810 fatcat:ybpdexp7jzew5lgbfcqpanxsga

Methodology of effective application of Big Data and Data Mining technologies as an important anti-crisis component of the complex policy of logistic business optimization

Maxim T. Krasnyuk, Iryna S. Hrashchenko, Oleksandr D. Kustarovskiy, Svitlana O. Krasniuk
2018 Economies Horizons  
The next goal of the article is to develop a methodology for hybrid effective use of innovative technologies of Big Data and Data Mining within the framework of adaptive logistic information system for  ...  the use of innovative technologies Big Data and Data Mining.  ...  The first and main step for the formation of the above-mentioned adaptive models for a particular logistic company is the forecasting of the volume of necessary supplies within the supply chains.  ... 
doi:10.31499/2616-5236.3(6).2018.156317 fatcat:fico3mehbvbjhgxk77tonramvm

The impact of big data and business analytics on supply chain management

Hans W. Ittmann
2015 Journal of Transport and Supply Chain Management  
Change is inevitable and as supply chain managers prepare for the future they face many challenges.  ...  highlight the evolving nature of the supply chain management (SCM) environment, to identify how the two major trends ('big data' and analytics) will impact SCM in future, to show the benefits that can  ...  Acknowledgements Competing interests The author declares that he has no financial or personal relationships which may have inappropriately influenced him in writing this article.  ... 
doi:10.4102/jtscm.v9i1.165 fatcat:xckuknwwqzdy7imceyskkvw5he

Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities

Mahya Seyedan, Fereshteh Mafakheri
2020 Journal of Big Data  
In doing so, there is a growing attention to analysis of consumption behavior and preferences using forecasts obtained from customer data and transaction records in order to manage products supply chains  ...  In this survey, we investigate the predictive BDA applications in supply chain demand forecasting to propose a classification of these applications, identify the gaps, and provide insights for future research  ...  Acknowledgements The authors are very much thankful to anonymous reviewers whose comments and suggestion were very helpful in improving the quality of the manuscript.  ... 
doi:10.1186/s40537-020-00329-2 fatcat:62km562vjzaafowywx6q3vysnq

Digital Applications in Metals and Mining Industry

Sanjay Dehran
2018 American Journal of Operations Management and Information Systems  
The applications start from design & engineering followed by supply chain management, production & maintenance management, transport & logistics management.  ...  This information can then be used to improve how mines are run and to make betterinformed and speedier decisions across the full range of the mining business processes.  ...  The applications start from design & engineering followed by supply chain management, production & maintenance management, transport & logistics management.  ... 
doi:10.11648/j.ajomis.20180301.15 fatcat:ccx5ycwckfawhndyz2nlbgjhfq
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