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Journal articles on the topic 'Mining supply chain'

Author: Grafiati

Published: 19 January 2024

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1

Statsenko, Larissa, Alex Gorod, and Vernon Ireland. "A supply network governance framework: a case study of the South Australian mining industry." Journal of Global Operations and Strategic Sourcing 11, no. 1 (2018): 55–78. http://dx.doi.org/10.1108/jgoss-03-2017-0007.

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Purpose The competitiveness of mining regions largely depends on the performance of the regional supply chains that provide services to mining companies. These local supply chains are often highly intertwined and represent a regional supply network for the industry. Individual companies often use supply chain strategies that are sub-optimal to overall supply network performance. To effectively respond to an uncertain business environment, policy-makers and supply chain participants would benefit by a governance framework that would allow to incentivise the formation of supply networks structur

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Stefanovic, Nenad. "Proactive Supply Chain Performance Management with Predictive Analytics." Scientific World Journal 2014 (2014): 1–17. http://dx.doi.org/10.1155/2014/528917.

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Today’s business climate requires supply chains to be proactive rather than reactive, which demands a new approach that incorporates data mining predictive analytics. This paper introduces a predictive supply chain performance management model which combines process modelling, performance measurement, data mining models, and web portal technologies into a unique model. It presents the supply chain modelling approach based on the specialized metamodel which allows modelling of any supply chain configuration and at different level of details. The paper also presents the supply chain semantic bus

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Tavana, Madjid, Akram Shaabani, Iman Raeesi Vanani, and Rajan Kumar Gangadhari. "A Review of Digital Transformation on Supply Chain Process Management Using Text Mining." Processes 10, no. 5 (2022): 842. http://dx.doi.org/10.3390/pr10050842.

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Industry 4.0 technologies are causing a paradigm shift in supply chain process management. The digital transformation of the supply chains provides enormous benefits to organizations by empowering collaboration among multiple internal and external organizations and systems. This study presents a narrative review explaining the existing knowledge on digital transformation in supply chain process management using text mining. It summarizes the existing literature to explain the current state of the art in supply chain digitalization. This comprehensive review identifies the most important topics

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Jiang, Rui, Chunxue Liu, Xiaowei Liu, and Shuai Zhang. "Supply Chain Resilience of Mineral Resources Industry in China." Discrete Dynamics in Nature and Society 2023 (January 31, 2023): 1–10. http://dx.doi.org/10.1155/2023/1338223.

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Improving the supply chain resilience of the mineral resources industry is crucial for ensuring national economic security in China. Based on the supply and demand data of China’s mineral resources industry from 2002 to 2018, this study adopts system dynamics model to simulate the supply chain resilience of the mineral resources industry, the mining industry, and the smelting and processing industry under the scenario of steady economic development and the scenario of supply chain crisis. From the simulation results, the reserves of the mineral resources industry and the smelting and processin

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Shah, Sayed Mehdi, Michael Lütjen, and Michael Freitag. "Text Mining for Supply Chain Risk Management in the Apparel Industry." Applied Sciences 11, no. 5 (2021): 2323. http://dx.doi.org/10.3390/app11052323.

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Text mining tools are now widely used for the efficient management of information and resources in business, academic and research organizations. This paper provides a comprehensive overview of research articles on the application of text mining techniques in the field of Supply Chain Risk Management and the apparel industry. Research articles published between 2000 and 2020, were obtained from various journals through two online databases, i.e., SCOPUS and IEEE Xplore. Through a systematic approach following PRISMA guidelines, 370 research papers were screened, filtered and finally classified

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Young, Steven B., Alberto Fonseca, and Goretty Dias. "Principles for responsible metals supply to electronics." Social Responsibility Journal 6, no. 1 (2010): 126–42. http://dx.doi.org/10.1108/17471111011024595.

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PurposeThis paper seeks to critically analyse the list of principles on the extractive phase of the electronics supply chains, proposed for consumer electronic companies, by the non‐governmental campaign MakeITfair. The purpose is to understand whether conformance with these principles could positively influence the socio‐environmental conditions at the mining level.Design/methodology/approachThe paper reviews the literature on incorporation of corporate social responsibility in supply chain management. It then examines how metals are mined, traded and used in electronics, as well as how the m

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Son, Jeong-Soo. "A Study on the Establishment of a New Supply Chain and Risk Management According to the Global Transition Period: Focusing on the Urban Mining Industry." Korea International Trade Research Institute 19, no. 3 (2023): 277–92. http://dx.doi.org/10.16980/jitc.19.3.202306.277.

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Purpose – This study proposes a strategic direction to respond to deglobalization and trends that are changing due to COVID-19, the war in Ukraine, disruptive factors in the global supply chain, and domestic-centered supply chain establishment, and identifies changes in the global supply chain and the environment to respond. Design/Methodology/Approach – This study analyzes the changes in and structural characteristics of the global value chain, and develops case studies and related policies for the promotion and value of the urban mining industry as a countermeasure to solve problems in Korea

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Pieth, Mark. "Gold Standards in the Supply Chain – A Golden Example." Zeitschrift für europarechtliche Studien 25, no. 2 (2022): 351–58. http://dx.doi.org/10.5771/1435-439x-2022-2-351.

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Sourcing gold is an example of one of the most problematic mineral supply chains. This is undoubtedly the case in artisanal mining (with serious environmental degradation through deforestation, the use of mercury, child labour and frequent violence). However, industrial mining is rarely better (local communities suffer from displacement and toxic emissions). The international community is struggling to regulate, however most of the rules remain soft law and self-regulation is unreliable. Furthermore, a large part of the supply chain evades the regulation altogether, since consumers in the Midd

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Sinaga, Poltak T., Togar M. Simatupang, and Mursyid H. Basri. "Enhancing Supply Chain Resilience in Coal Mining: A Comprehensive Systematic Literature Review to Managing Disruptions." 15TH GLOBAL CONFERENCE ON BUSINESS AND SOCIAL SCIENCES ON 14 - 15 SEPTEMBER 2023, NOVOTEL BANGKOK PLATINUM PRATUNAM, THAILAND 15, no. 1 (2023): 152. http://dx.doi.org/10.35609/gcbssproceeding.2023.1(152).

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Supply chain risk and uncertainty are critical factors that impact coal mining operations. Risks can arise from various sources such as natural disasters, supplier disruptions, market fluctuations, regulatory changes, and geopolitical uncertainties (Marzouk et al., 2022; Pettersen-Sobczyk, 2018). Managing these risks involves identifying, assessing, and implementing measures to mitigate and minimize potential losses. Uncertainties, on the other hand, stem from the lack of predictability or knowledge about future events and outcomes. They represent a level of unpredictability and the potential

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Du, Wenyi, and Huimin Wang. "Operation decision of competitive mining supply chain based on social responsibility." PLOS ONE 17, no. 12 (2022): e0278815. http://dx.doi.org/10.1371/journal.pone.0278815.

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The development of the green economy has significantly impact the traditional mining industry. Mining enterprises must invest in green technology to reduce the environmental pollution caused by flying dust and soil erosion and are subject to increased scrutiny to be socially responsible when conducting their business. To address this issue, we consider a competitive mining supply chain system consisting of two excavators and two exclusive retailers. Among them, the excavators have a certain sense of corporate social responsibility (CSR), that is, in addition to pursuing economic profits, they

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Yaping, Qu, and Mary Bossman. "Logistics and Supply Chain Management Efficiency Strategy for Ghana’s Mining Industry." European Journal of Business and Management Research 6, no. 2 (2021): 193–202. http://dx.doi.org/10.24018/ejbmr.2021.6.2.779.

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The invaluable contribution of the mining industry in any country’s economy is widely acclaimed and thus not far-fetched. In as much as the mining industry contributes hugely to economic and social growth, its operations are characterized by complex supply chain processes that are relatively capital and cost intensive, and technologically sophisticated to manage. Unfortunately, firms in the mining industry especially for developing countries tend to focus more on procuring modernized equipment and technologies to carry out the complex processes of mining operations to the detriment of applying

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Wincewicz-Bosy, Marta, Małgorzata Dymyt, and Katarzyna Wasowska. "The Supply Chain of the Mining Industry: The Case of Copper Mining." EUROPEAN RESEARCH STUDIES JOURNAL XXIV, Issue 1 (2021): 204–25. http://dx.doi.org/10.35808/ersj/1958.

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Chen, Lihua, Liying Wang, and Yingjie Lan. "Auction models with resource pooling in modern supply chain management." Modern Supply Chain Research and Applications 1, no. 2 (2019): 120–34. http://dx.doi.org/10.1108/mscra-01-2019-0001.

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Purpose In this paper, the main focus is on supply and demand auction systems with resource pooling in modern supply chain from a theoretical modeling perspective. The supply and demand auction systems in modern supply chains among manufacturers and suppliers serve as information sharing mechanisms. The purpose of this paper is to match the supply and demand such that a modern supply chain can achieve incentive compatibility and economic efficiency. The authors design such a supply and demand auction system that can integrate resources to efficiently match the supply and demand. Design/methodo

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Kang, Yong-Shin, Kyounghun Lee, Yong-Han Lee, and Ku-Young Chung. "RFID-based Supply Chain Process Mining for Imported Beef." Korean Journal for Food Science of Animal Resources 33, no. 4 (2013): 463–73. http://dx.doi.org/10.5851/kosfa.2013.33.4.463.

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TIEN, JAMES M. "DATA MINING REQUIREMENTS FOR CUSTOMIZED GOODS AND SERVICES." International Journal of Information Technology & Decision Making 05, no. 04 (2006): 683–98. http://dx.doi.org/10.1142/s0219622006002167.

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Customized goods and services occur when their respective supply and demand chains are managed in a simultaneous and real-time manner. From a research perspective, we classify the methods that are employed in the management of these chains, based on whether supply and/or demand are flexible or fixed. Interestingly, our classification scheme highlights a critical and rewarding research area at which both supply and demand are flexible, thus manageable. Simultaneous management of supply and demand chains sets the stage for mass customization which is concerned with meeting the needs of an indivi

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Statsenko, Larissa, Alex Gorod, and Vernon Ireland. "A complex adaptive systems governance framework for regional supply networks." Supply Chain Management: An International Journal 23, no. 4 (2018): 293–312. http://dx.doi.org/10.1108/scm-08-2017-0279.

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PurposeThis paper aims to propose an empirically grounded governance framework based on complex adaptive systems (CAS) principles to facilitate formation of well-connected regional supply chains that foster economic development, adaptability and resilience of mining regions.Design/methodology/approachThis study is an exploratory case study of the South Australian (SA) mining industry that includes 38 semi-structured interviews with the key stakeholders and structural analysis of the regional supply network (RSN).FindingsFindings demonstrate the applicability of the CAS framework as a structure

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Stefanovic, Nenad. "Collaborative predictive business intelligence model for spare parts inventory replenishment." Computer Science and Information Systems 12, no. 3 (2015): 911–30. http://dx.doi.org/10.2298/csis141101034s.

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In today?s volatile and turbulent business environment, supply chains face great challenges when making supply and demand decisions. Making optimal inventory replenishment decision became critical for successful supply chain management. Existing traditional inventory management approaches and technologies showed as inadequate for these tasks. Current business environment requires new methods that incorporate more intelligent technologies and tools capable to make fast, accurate and reliable predictions. This paper deals with data mining applications for the supply chain inventory management. I

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Lan, Yong, Ning Miao, Yan Ya Wang, Ming Yong Feng, and Dong Xia Liu. "Research on the Coordinated Development Mechanism of supply chain finance among countries under the development of Internet Era." E3S Web of Conferences 251 (2021): 02017. http://dx.doi.org/10.1051/e3sconf/202125102017.

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This paper studies the international supply chain finance among trading countries under the Internet financial environment. By introducing “One Belt And One Road” and “supply chain finance”, this paper analyzes the main supply chain finance models involved in the “One Belt And One Road” strategy, and uses clustering method to analyze and summarize the financial risks of supply chain. The analysis results are obtained through data mining reasoning. On this basis, it mainly uses Internet information technology, big data analysis and other technologies to deal with the risks in the international

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Larin, Oleg, Dmitry Tarasov, Leonid Mirotin, Vladimir Rublev, and Denis Kapski. "Resilient Supply Chain Management Model." SHS Web of Conferences 93 (2021): 03005. http://dx.doi.org/10.1051/shsconf/20219303005.

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The strategy for the development of the supply chain should ensure a high level of fault tolerance of all links when exposed to adverse factors. The article analyzes the impact on the stability of the supply chain of two types of influences: failure and disruption. The low stability of the supply chain appears in the stoppage of work in case of any disruptions and failures. With moderate stability, disruptions do not give up a significant impact on the operation of the supply chain, and failures lead to an increase in operating costs to maintain the stability of work processes. With a high lev

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Lawrence, Kenneth D., Dinesh R. Pai, Ronald Klimberg, and Sheila M. Lawrence. "Enterprise Information System and Data Mining." International Journal of Business Intelligence Research 1, no. 3 (2010): 34–41. http://dx.doi.org/10.4018/jbir.2010070103.

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The advent of information technology and the consequent proliferation of information systems have lead to generation of vast amounts of data, both within the organization and across its supply chain. Enterprise information systems (EIS) have added to organizational complexity, and at the same time, created opportunities for enhancing its competitive advantage by utilizing this data for business intelligence purposes. Various data mining tools have been used to gain a competitive edge through these large data bases. In this paper, the authors discuss EIS-aided business intelligence and data min

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Agarwal, Reshu, and Adarsh Dixit. "Water Supply Chain Resource Management in Cities Using Data Mining Techniques." International Journal of Information Retrieval Research 13, no. 1 (2023): 1–14. http://dx.doi.org/10.4018/ijirr.317087.

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This paper presents a comparative research study between a number of data mining techniques, knowledge discovery tools, data analysis and software packages to be used in a Decision Support System (DSS) for Smart water supply chain resources management. The case study deals with the evaluation and comparative research of water quality of city water supply within New Delhi city area. In the case of New-Delhi water supply alternative actions for improving of water supply and quality are defined for efficient supply in distributed area. The real time water quality monitor uses given standards by W

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Lobsiger-Kägi, Evelyn, Luis López, Tobias Kuehn, Raoul Roth, Vicente Carabias, and Christian Zipper. "Social Life Cycle Assessment: Specific Approach and Case Study for Switzerland." Sustainability 10, no. 12 (2018): 4382. http://dx.doi.org/10.3390/su10124382.

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This article proposes a specific social life cycle assessment (S-LCA) approach, to be applied in a case study on energy production in Switzerland. The aim of the present study is to describe the social conditions along the global supply chains and to compare them with the social situation in Switzerland. Therefore, a specific S-LCA methodology was developed that combines a relevance analysis with a performance reference point (PRP) assessment. The relevance analysis is carried out to identify the most relevant unit processes and S-LCA indicators and the Swiss PRPs (SPRPs) are designed to compa

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Jokonowo, Bambang, Jan Claes, Riyanarto Sarno, and Siti Rochimah. "Process Mining in Supply Chains: A Systematic Literature Review." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 6 (2018): 4626. http://dx.doi.org/10.11591/ijece.v8i6.pp4626-4636.

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Performance analysis and continuous process improvement efforts are often supported by the construction of process models representing the interactions of the partners in the supply chain. This study was conducted to determine the state of the art in the process mining field, specifically in the context of cross-organizational process. The Systematic Literature Review (SLR) method is used to review a collection of twenty-one papers that are classified according to the Artifact framework of Hevner, et al. and within the Process Mining framework of Van der Aalst. In the reviewed papers, the auth

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Kurbatova, Anna, Petr Kurenkov, Anastasia Safronova, and Margarita Kuzina. "Rational Precious Metals Supply Schemes." E3S Web of Conferences 138 (2019): 01039. http://dx.doi.org/10.1051/e3sconf/201913801039.

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Rapidly developing social progress and new conditions for the functioning of all economic entities put industrial enterprises in a special, rigid economic framework. In a tough competitive environment, you can survive and develop only by orienting your business activities to a logistic approach. The gold mining industry plays a key role in the global economy. This industry has a high asset value, large-scale production lines and large infrastructure. One of the main tasks of strategic planning of gold mining enterprises is the choice of a rational marketing system. Planning and selection of sc

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Zuñiga, Raul, Thorsten Wuest, and Klaus-Dieter Thoben. "Comparing mining and manufacturing supply chain processes: challenges and requirements." Production Planning & Control 26, no. 2 (2013): 81–96. http://dx.doi.org/10.1080/09537287.2013.855335.

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Wu, Mengna, Ke Liu, and Hua Yang. "Supply chain production and delivery scheduling based on data mining." Cluster Computing 22, S4 (2018): 8541–52. http://dx.doi.org/10.1007/s10586-018-1894-8.

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Er Kara, Merve, Seniye Ümit Oktay Fırat, and Abhijeet Ghadge. "A data mining-based framework for supply chain risk management." Computers & Industrial Engineering 139 (January 2020): 105570. http://dx.doi.org/10.1016/j.cie.2018.12.017.

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Chatzidimitriou, Kyriakos C., and Andreas L. Symeonidis. "Data-Mining-Enhanced Agents in Dynamic Supply-Chain-Management Environments." IEEE Intelligent Systems 24, no. 3 (2009): 54–63. http://dx.doi.org/10.1109/mis.2009.51.

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Jowitt, Simon M. "COVID-19 and the Global Mining Industry." SEG Discovery, no. 122 (July 1, 2020): 33–41. http://dx.doi.org/10.5382/segnews.2020-122.fea-02.

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Abstract The world is currently experiencing a rapid and deep economic slowdown as a result of COVID-19 mitigation efforts. The depth and global nature of this recession, which could turn into a depression, suggests that this pandemic will significantly affect the demand for metals and the global mining sector. The majority of governments consider mining to be essential, meaning that the effect of mitigation on the mining industry and on metal production has been minimal to date. However, increases in metal stocks and decreases in metal prices suggest that the mining industry will be negativel

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Aranoglu, Fatih, Tulay Flamand, and Sebnem Duzgun. "Analysis of Artisanal and Small-Scale Gold Mining in Peru under Climate Impacts Using System Dynamics Modeling." Sustainability 14, no. 12 (2022): 7390. http://dx.doi.org/10.3390/su14127390.

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In this paper, we propose a system dynamics (SD) model to examine the dynamics of an informal artisanal and small-scale gold mining (ASGM) supply chain that has interactions with the illegal gold supply chain in the Amazon rainforest region, Madre de Dios (MdD), Peru. In order to examine the system under climate impacts and validate the model, we run it under a flood scenario, which is one of the main climate impacts that causes disruption in mining activities. Our findings suggest that the dynamics of informal mines are highly affected by the illegal mercury supply, fuel supply, and availabil

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Naderi, Reihaneh, Mohsen Shafiei Nikabadi, Akbar Alem-Tabriz, and Mir Saman Pishvaee. "Sustainable Coal Supply Chain Management Using Exergy Analysis and Genetic Algorithm." Management Systems in Production Engineering 29, no. 1 (2020): 44–53. http://dx.doi.org/10.2478/mspe-2021-0006.

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Abstract Environmental threats of coal usage in the electricity production combined with the consumption of renewable and non-renewable resources had led to worldwide energy challenges. The cost of coal mining and economical and environmentally sustainable usage of mined coal could be optimized by efficient management of coal supply chain. This paper provides a mathematical model for improving coal supply chain sustainability including the cost of exergy destruction (entropy). In the proposed method, exergy analysis is used to formulate the model considering not only economic costs but also de

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Yu, Bao Qin, and Yue Zhang. "A Method for Evaluation of Green Degree in Green Supply Chain." Key Engineering Materials 450 (November 2010): 433–36. http://dx.doi.org/10.4028/www.scientific.net/kem.450.433.

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Green supply chain management is a method to reduce the ecological impact of the whole supply chain and make the most efficient use of resources. In this paper, the data mining (DM) technique is utilised to evaluate green degree in green supply chain. Then the process of the evaluation is given and a classification model of multivariate decision tree based on rough set is proposed. Finally, a simulation analysis is given to show the application of this method.

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Fu, Yu, Xiaoxi Sun, and Weiwei Wang. "The Optimization of Global Organizational Communication for Enterprise Supply Organization Management by Using Big Data Text Mining." Journal of Global Information Management 31, no. 3 (2023): 1–17. http://dx.doi.org/10.4018/jgim.324608.

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The purpose is to optimize supply chain management (SCM) programs in global organizations and promote international economic development. This paper first discusses the development of cloud technology and the international organization supply chain under big data, artificial intelligence, the internet of things, mobile internet and cloud computing (BIIMC). Then, the application design concept of cloud technology in the global organization supply chain is discussed. Finally, based on the current international organization supply chain foundation, the management optimization program is designed

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Jiang, Fang, Jie Zhao, and Han Lin Ge. "Research on the Application of Improved Association Rule Algorithm in Supply Chain Management." Advanced Materials Research 121-122 (June 2010): 309–13. http://dx.doi.org/10.4028/www.scientific.net/amr.121-122.309.

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Effective Supply Chain Management (SCM) approach must focus on flexible supply and production processes as well as rapidly respond to change of customer demands. To make up of existing drawbacks of association rule data mining algorithm, the paper brought out an improved algorithm and applies it in the product relativity analysis of SCM. Based on the algorithm, the solution of how the parts be arranged can achieve more cost-effective and higher profits can be achieved by data mining. The mining result can not only guide customers to correctly shopping, but also help manufacturers to design and

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Wu, Kuo Jui, Yan Bin, Maomao Ren, Ming-Lang Tseng, Qing Wang, and Anthony S. F. Chiu. "Reconfiguring a hierarchical supply chain model under pandemic using text mining and social media analysis." Industrial Management & Data Systems 122, no. 3 (2022): 622–44. http://dx.doi.org/10.1108/imds-06-2021-0358.

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PurposeThis study is to reconfigure a hierarchical supply chain model utilizing databases and text files to understand future pathways due to COVID-19 pandemic has had a bullwhip effect, disrupting the global supply chain, and a mechanism is needed to address this disruptive event under pandemic uncertainties.Design/methodology/approachTo address this mechanism, this study employs bibliometric analysis and text mining to reconfigure a hierarchical supply chain model under pandemic conditions and associates it with social media to conduct an intuitive visual analysis.FindingsThe current academi

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Benalcazar, Pablo, Jacek Kamiński, and Piotr W. Saługa. "The storage location problem in a coal supply chain: background and methodological approach." Gospodarka Surowcami Mineralnymi 33, no. 1 (2017): 5–14. http://dx.doi.org/10.1515/gospo-2017-0009.

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Abstract In order to achieve two main objectives: (1) reduce risk and (2) increase the expected rate of return on invested capital, coal mining and coal trading companies have looked for new ways to improve their supply chain networks. Developments in the supply chain design and analysis have helped coal mining and coal trading companies expand their businesses, but at the same time, have forced them to consolidate their assets and downsize any underused storage facilities. In the coal mining industry, the problem of consolidation and downsizing becomes much more complicated due to the variety

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Puica, Elena. "Predictive Analytics Functionalities in Supply Chain Management." Proceedings of the International Conference on Business Excellence 17, no. 1 (2023): 986–96. http://dx.doi.org/10.2478/picbe-2023-0090.

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Abstract This scientific paper presents a comprehensive analysis of the capabilities of IT solutions for predictive analytics in supply chain management. The study uses a multi-method approach, including a literature review, case studies by applying a machine learning model to technology solutions currently available on the market. The study examines the various software and technology platforms available today and their key features and functionalities, focusing in particular on Scripting, Data Mining, Algorithms, Data Analysis, Modeling, Data Interaction, Data Visualization, Reporting and Da

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Ghadge, Abhijeet, Maximilian Weiß, Nigel D. Caldwell, and Richard Wilding. "Managing cyber risk in supply chains: a review and research agenda." Supply Chain Management: An International Journal 25, no. 2 (2019): 223–40. http://dx.doi.org/10.1108/scm-10-2018-0357.

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Purpose In spite of growing research interest in cyber security, inter-firm based cyber risk studies are rare. Therefore, this study aims to investigate cyber risk management in supply chain contexts. Design/methodology/approach Adapting a systematic literature review process, papers from interdisciplinary areas published between 1990 and 2017 were selected. Different typologies, developed for conducting descriptive and thematic analysis, were established using data mining techniques to conduct a comprehensive, replicable and transparent review. Findings The review identifies multiple future r

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Tan, Kangye, and Fang Xu. "The Importance Evaluation of Weighted Supply Chain Network Nodes Based on Big Data Considering the Degree of Coupling and Coordination." Journal of Physics: Conference Series 2138, no. 1 (2021): 012001. http://dx.doi.org/10.1088/1742-6596/2138/1/012001.

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Abstract Through big data and computer intelligent software, it is possible to quickly and accurately calculate the supply chain coordination relationship between global enterprises, and due to comprehensively, quickly and objectively assess the importance and stability of each node in the supply chain network where the company is located in the wave of supply chain globalization, it is convenient for decision makers to effectively and accurately identify the key nodes in the supply chain network system, thereby improving the supply chain of the stability and sustainability of the network. The

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Chu, Chih-Yuan, Kijung Park, and Gül E. Kremer. "A global supply chain risk management framework: An application of text-mining to identify region-specific supply chain risks." Advanced Engineering Informatics 45 (August 2020): 101053. http://dx.doi.org/10.1016/j.aei.2020.101053.

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Rahimpour Golroudbary, Saeed, Nikita Krekhovetckii, Mohammad El Wali, and Andrzej Kraslawski. "Environmental Sustainability of Niobium Recycling: The Case of the Automotive Industry." Recycling 4, no. 1 (2019): 5. http://dx.doi.org/10.3390/recycling4010005.

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The recycling of scrap is one of the common approaches aiming at reduction of mining-based production of critical metals and mitigation of their supply risk as well as processing-related environmental impact. The number of currently available end-of-life vehicles (ELVs) indicates—significant potential for critical metals recycling, especially niobium (Nb). Therefore, the quantification of environmental impact of niobium recovery starts to be an important issue in assessment of sustainability of large-scale recycling processes. In this paper, we assess energy consumption and greenhouse gas (GHG

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Augustine, Sabu, and Sajimon Abraham. "Analysis and Optimization of Supply Chain Traffic using Mobility Mining Techniques." International Journal of Computer Applications 54, no. 6 (2012): 40–43. http://dx.doi.org/10.5120/8574-2311.

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Kalinowski, Thomas, Jason Matthews, and Hamish Waterer. "Scheduling of maintenance windows in a mining supply chain rail network." Computers & Operations Research 115 (March 2020): 104670. http://dx.doi.org/10.1016/j.cor.2019.03.016.

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He, Xuefeng, Xingzheng Ai, Yuewu Jing, and Yuanyuan Liu. "Partner selection of agricultural products supply chain based on data mining." Concurrency and Computation: Practice and Experience 28, no. 4 (2015): 1246–56. http://dx.doi.org/10.1002/cpe.3625.

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Ngcobo, Abednigo, Chengedzai Mafini, and Welby Okoumba. "Extending Green Supply Chain Management to the Mining Sector in South Africa: Implications for Corporate Performance." African Journal of Inter/Multidisciplinary Studies 4, no. 1 (2022): 311–24. http://dx.doi.org/10.51415/ajims.v4i1.1044.

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The South African mining sector faces numerous challenges that limit the performance of firms, chief among them environmental management, labour, and operational issues. An important research gap exists on how the adoption of green supply chain management (GSCM) can contribute to the mitigation of some of these challenges. This study investigates the connection between GSCM, employee satisfaction, operational and relational efficiency, and enterprise performance in the mining sector in South Africa. The study employed a quantitative method using a cross-sectional survey design. A structured re

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Gao, Boren. "Construction of Knowledge Service Model of Guizhou Supply Chain Enterprises Based on Big Data." International Journal of Information Systems and Supply Chain Management 15, no. 3 (2022): 1–11. http://dx.doi.org/10.4018/ijisscm.290016.

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In the era of big data, "knowledge" scope is expanded. 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. By analyzing the sources of big data of collaborative innovation of supply chain, a basic framework of knowledge innovation platform of Guizhou supply chain enterprises under the environment of big data is proposed. The effect of big data technology on supply chain logistics mode is analyzed, and the current situation of logistics industry moderniz

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Qu, Qiao, Cheng Liu, and Xinzhong Bao. "E-Commerce Enterprise Supply Chain Financing Risk Assessment Based on Linked Data Mining and Edge Computing." Mobile Information Systems 2021 (May 19, 2021): 1–9. http://dx.doi.org/10.1155/2021/9938325.

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In recent years, the rapid development of information technology has affected the way the world economy operates. The emergence of e-commerce has greatly shortened the time and space distance between economic participants and maximized the sharing of resources. However, the financial management and risk assessment capabilities of the existing supply are insufficient to adapt to the rapidly developing new environment. This article uses a combination of normative analysis and empirical analysis to analyze the status quo of the supply chain of small and medium e-commerce companies. First, this ar

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Zong, Chun Mei, Hong Bin Wang, and Xue Juan Du. "The Application of Data Mining in the Food Manufacturing Industry." Applied Mechanics and Materials 20-23 (January 2010): 856–60. http://dx.doi.org/10.4028/www.scientific.net/amm.20-23.856.

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The paper first displays the feature of food, then points out the significance of putting into practice the Customer Relationship Management and supply chain administration in selling management, thereby draws out data mining. Finally, the paper describes the application of data mining in food.

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Saravanan, Nishant, Jessica Olivares-Aguila, and Alejandro Vital-Soto. "Bibliometric and Text Analytics Approaches to Review COVID-19 Impacts on Supply Chains." Sustainability 14, no. 23 (2022): 15943. http://dx.doi.org/10.3390/su142315943.

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The current COVID-19 pandemic has virtually disrupted supply chains worldwide. Thus, supply chain research has received significant attention. While the impacts have been immeasurable, organizations have realized the need to design strategies to overcome such unexpected events. Therefore, the supply chain research landscape has evolved to address the challenges during the pandemic. However, available literature surveys have not explored the power of text analytics. Hence, in this review, an analysis of the supply chain literature related to the impacts of COVID-19 is performed to identify the

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Gupta, Sachin, and Anurag Saxena. "Classification of Operational and Financial Variables Affecting the Bullwhip Effect in Indian Sectors: A Machine Learning Approach." Recent Patents on Computer Science 12, no. 3 (2019): 171–79. http://dx.doi.org/10.2174/2213275911666181012121059.

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Background: The increased variability in production or procurement with respect to less increase of variability in demand or sales is considered as bullwhip effect. Bullwhip effect is considered as an encumbrance in optimization of supply chain as it causes inadequacy in the supply chain. Various operations and supply chain management consultants, managers and researchers are doing a rigorous study to find the causes behind the dynamic nature of the supply chain management and have listed shorter product life cycle, change in technology, change in consumer preference and era of globalization,

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