Search Results - "Demand forecasting"

Flexible Data Aggregation for Prediction and Decision Making with Contextual Information: Applications in Retailing: First Place—2025 M&SOM Practice-Based Research Competition.

Authors: Peng, Zhenkang Li, Chengzhang Rong, Ying et al.

Source: Manufacturing & Service Operations Management (M&SOM) (INFORMS). Jul/Aug2026, Vol. 28 Issue 4, p1091-1111. 21p.

Enhancing Cost-Efficiency and Effectiveness in USAID's Food Aid Supply Chain Operations in Ethiopia.

Authors: Jing, Weijia Tasci, Keziban R. Ergun, Özlem et al.

Source: INFORMS Journal on Applied Analytics. Mar/Apr2026, Vol. 56 Issue 2, p133-158. 26p.

Credible Cheap-Talk Communication of Private Demand Information on Both the Forecast Average and Accuracy.

Authors: Lu, Tao Tomlin, Brian

Source: Management Science (INFORMS). Feb2026, Vol. 72 Issue 2, p989-1006. 18p.

Print Demand Forecasting with Machine Learning at HP Inc.

Authors: Harshvardhan, M. Curtland, Cara Hwang, Jerry et al.

Source: INFORMS Journal on Applied Analytics. Nov/Dec2025, Vol. 55 Issue 6, p469-483. 15p.

Pooling and Boosting for Demand Prediction in Retail: A Transfer Learning Approach.

Authors: Lei, Dazhou Qi, Yongzhi Liu, Sheng et al.

Source: Manufacturing & Service Operations Management (M&SOM) (INFORMS). Nov/Dec2025, Vol. 27 Issue 6, p1779-1794. 16p.

Managerial Insight and "Optimal" Algorithms.

Authors: Flicker, Blair¹ (AUTHOR) blair.flicker@moore.sc.edu

Source: Management Science (INFORMS). Jan2026, Vol. 72 Issue 1, p128-147. 20p.

Human-Algorithm Collaboration with Private Information: Naïve Advice-Weighting Behavior and Mitigation.

Authors: Balakrishnan, Maya Ferreira, Kris Johnson Tong, Jordan

Source: Management Science (INFORMS). Jan2026, Vol. 72 Issue 1, p265-284. 20p.

Scenario Predict-then-Optimize for Data-Driven Online Inventory Routing.

Authors: Jia, Menglei Schrotenboer, Albert H. Chen, Feng

Source: Transportation Science (INFORMS). Sep/Oct2025, Vol. 59 Issue 5, p1032-1056. 25p.

A Data-Driven Optimization Framework for Static Rebalancing Operations in Bike Sharing Systems.

Authors: Liu, Junming Chen, Weiwei Sun, Leilei

Source: INFORMS Journal on Computing. Sep/Oct2025, Vol. 37 Issue 5, p1369-1390. 22p.

Conceptual Dataspace Architecture for District Heating Use Case.

Authors: Odeyemi, Julianah Du, Junsong Streblow, Rita et al.

Source: Open Conference Proceedings (OCP). 2026, Vol. 9, p1-5. 5p.

Railway Reservation System using Machine Learning.

Authors: Tarani, M. Gurrala, Dinesh

Source: International Scientific Journal of Engineering & Management. Jun2026, Vol. 5 Issue 6, p1-10. 10p.

Demand management and forecasting in pharmaceutical and vaccine supply chains: a review and conceptual framework.

Authors: Omri, Oussema Kafa, Nadine Babai, M. Zied et al.

Source: International Journal of Production Research. Jun2026, p1-36. 36p. 8 Illustrations.

Dynamic demand forecasting in bike-sharing systems: a multidimensional spatiotemporal network.

Authors: Cheng, Quan Li, Xin Su, Xiaoli et al.

Source: International Journal of Production Research. Jun2026, p1-31. 31p. 23 Illustrations.

Hybrid Clustering for Retail Demand Forecasting: Combining Rule-Based and Machine Learning Methods.

Authors: Kim, Jung-Hyuk Cho, Nam-Wook

Source: Forecasting. Jun2026, Vol. 8 Issue 3, p37. 25p.

AI-Driven Demand Planning: A Systematic Review of Adoption, Barriers and Strategic Implications.

Authors: Korcari, Anteo Saridi, Marina Koumpoti, Antonia et al.

Source: Administrative Sciences (2076-3387). Jun2026, Vol. 16 Issue 6, p260. 25p.

Supply chain production and procurement strategies for the mixed contract with time flexibility and options.

Authors: Xiong, Xuexia Shao, Lusheng Tang, Liang

Source: International Transactions in Operational Research. Jul2026, Vol. 33 Issue 4, p2781-2815. 35p.

Using Tobit exponential smoothing to enhance demand planning in the presence of censored data.

Authors: Pedregal, D. J. Trapero, J. R. Holgado, E.

Source: International Journal of Production Research. Jun2026, Vol. 64 Issue 11, p4297-4309. 13p.

E-ticaret verileriyle uluslararası lojistikte talep tahmini ve stok optimizasyonu: Makine öğrenmesi temelli bir model uygulaması.

Alternate Title: A machine learning-based approach for demand forecasting and inventory optimization in international logistics using e-commerce data.

Authors: Alkaç, Dilan Karakoç, Hale Tuğçe

Source: Journal of Economics & Administrative Sciences / Afyon Kocatepe Üniversitesi Iktisadi ve Idari Bilimler Fakültesi Dergisi. haz2026, Vol. 28 Issue 1, p49-71. 23p.

Transforming Demand Planning with Agentic AI.

Authors: WU, DAVIS¹ wudavis@yahoo.com

Source: Foresight: The International Journal of Applied Forecasting. 2026Q3, Issue 82, p37-45. 9p.

顧客集中度與企業債務資金成本: 交易成本觀點與需求 不確定性的調節作用.

Alternate Title: Customer Concentration and the Cost of Debt: A Transaction Cost Perspective and the Moderating Role of Demand Uncertainty.

Authors: 蔡宜呈 許恩得 沈瑜峰 et al.

Source: Journal of Management & Business Research (2521-4306). Jun2026, Vol. 43 Issue 2, p179-206. 28p.