Similar Search Results

Inventory management for an assembly system subject to supply disruptions

DeCroix, Gregory A. - In: Management science : journal of the Institute for … 59 (2013) 9, pp. 2079-2092

Persistent link: https://www.econbiz.de/10010194833

Dynamic pricing and inventory management with dual suppliers of different lead times and disruption risks

Gong, Xiting; Chao, Xiuli; Zheng, Shaohui - In: Production and operations management : an international … 23 (2014) 12, pp. 2058-2074

Persistent link: https://www.econbiz.de/10010479106

Use of Big Data Analysis to identify possible sources of Supply Chain disruption through the DOTMLPFI method

Nagy, Judit; Foltin, Pavel; Ondryhal, Vojtech - In: LogForum : elektroniczne czasopismo naukowe z dziedziny … 18 (2022) 3, pp. 309-319

Persistent link: https://www.econbiz.de/10013450698

Decision-making with temporal association rule mining and clustering in supply chains

Agarwal, Reshu - In: Optimization and inventory management, (pp. 459-470). 2020

Persistent link: https://www.econbiz.de/10012122701

Extracting supply chain maps from news articles using deep neural networks

Wichmann, Pascal; Brintrup, Alexandra; Baker, Simon; … - In: International journal of production research 58 (2020) 17, pp. 5320-5336

Persistent link: https://www.econbiz.de/10012266346

Data science, predictive analytics, and big data : a revolution that will transform supply chain design and management

Waller, Matthew A.; Fawcett, Stanley E. - In: Journal of business logistics : JBL 34 (2013) 2, pp. 77-84

Persistent link: https://www.econbiz.de/10009766760

Using machine learning to detect misstatements

Bertomeu, Jeremy; Cheynel, Edwige; Floyd, Eric; Pan, … - In: Review of accounting studies 26 (2021) 2, pp. 468-519

Persistent link: https://www.econbiz.de/10012548986

Is artificial intelligence an enabler of supply chain resiliency post COVID-19? : an exploratory state-of-the-art review for future research

Naz, Farheen; Kumar, Anil; Majumdar, Abhijit; Agrawal, Rohit - In: Operations management research : OMR ; advancing … 15 (2022) 1/2, pp. 378-398

Persistent link: https://www.econbiz.de/10013462413

IPSERA ONLINE 2021 Track on Purchasing and Supply : Big Data and Analytics Methods of artificial intelligence in procurement: A conceptual literature review

Spreitzenbarth, Jan Martin; Stuckenschmidt, Heiner; … - 2022

Artificial intelligence is a key technology for procurement and its usage is still in its infancy.This work builds upon literature reviews on big data analytics in supply chain management(Min, 2010, Waller and Fawcett, 2013, Souza, 2014, Gunasekaran et al., 2017, Nguyen et al.,2017) focusing on...

Persistent link: https://www.econbiz.de/10014240544

Supply chain reliability and international economic growth : impacts of disruptions like COVID-19

Goel, Rajeev K.; Saunoris, James W.; Goel, Srishti S. - 2020

importance, formal research on the contribution of supply chain logistics, including the relative impacts across different … logistics dimensions, is less. The importance of supply chains has been recently been brought to the forefront in the wake of … examine the relative effects of the different aspects of supply chain logistics on economic growth. Placing the empirical …

Persistent link: https://www.econbiz.de/10012219347