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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.

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

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

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

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

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

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

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

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

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

37. Supply chain resilience in the context of I4.0 and I5.0 from a multilayer network ripple effect perspective.

38. Can government policies help to achieve the pollutant emissions information disclosure target in the Industry 4.0 era?

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

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

41. Determining cutting stock patterns when defects are present.

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

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

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

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