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3. Evaluating the optimal timing and capacity of investments in flexible combined heat and power generation for energy-intensive industries.

6. Preface: Business analytics and operations research.

8. Recent advances in multiobjective optimization.

10. A recursive linear programming analysis of the future of the pulp and paper industry in the United States: Changes in supplies and demands, and the effects of recycling.

13. Product bundling and advertising strategy for a duopoly supply chain: a power-balance perspective.

14. Editorial: Big data and data science in sport.

16. Spatial randomness-based anomaly detection approach for monitoring local variations in multimode surface topography.

18. Classification, sorting and clustering methods based on multiple criteria: recent trends.

21. Selection of optimum maintenance strategy based on FAHP integrated with GRA-TOPSIS.

22. Machine learning and optimization based decision-support tool for seed variety selection.

23. Data-driven reliability and resilience measure of transportation systems considering disaster levels.

24. Preface: New trends on combinatorial optimization for network and logistical applications.

26. Innovation in humanitarian logistics and supply chain management: a systematic review.

27. A structured literature review on the interplay between emerging technologies and COVID-19 – insights and directions to operations fields.

28. Cross-influence of information and risk effects on the IPO market: exploring risk disclosure with a machine learning approach.

29. Preface: Recent advances in multiple objective optimization and goal programming.

30. Great partners: how deep learning and blockchain help improve business operations together.

35. Reliability and maintenance modeling for a production system by means of point process observations.

36. Preface: Introducing operations research trends at CLAIO XVIII.

37. Determining cutting stock patterns when defects are present.

43. Preface: International conference on data envelopment analysis—DEA40, 16–18 April 2018.

44. Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020).

45. Root cause analysis of manufacturing variation from optical scanning data.

46. Identifying purchase intention through deep learning: analyzing the Q &D text of an E-Commerce platform.

47. Shortening the project schedule: solving multimode chance-constrained critical chain buffer management using reinforcement learning.

48. A critical analysis of the integration of blockchain and artificial intelligence for supply chain.

49. Preface: Data-driven operations research in transportation and logistics.