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2. Evaluating the optimal timing and capacity of investments in flexible combined heat and power generation for energy-intensive industries.
3. Environmental production and productivity growth: evidence from european paper and pulp manufacturing
4. Green supplier selection and order allocation in a low-carbon paper industry: integrated multi-criteria heterogeneous decision-making and multi-objective linear programming approaches
5. 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
6. Preface: Business analytics and operations research.
7. A deep learning-based approach for performance assessment and prediction: A case study of pulp and paper industries
8. Recent advances in multiobjective optimization.
9. A coupling cutting stock-lot sizing problem in the paper industry
10. A deep learning-based approach for performance assessment and prediction: A case study of pulp and paper industries
11. Supply Chain Optimisation in the Paper Industry
12. 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. A bibliography of ATM related papers
14. Network reliability: Numbers or insight?: A discussion paper
15. Product bundling and advertising strategy for a duopoly supply chain: a power-balance perspective.
16. Editorial: Big data and data science in sport.
17. A coupling cutting stock-lot sizing problem in the paper industry
18. 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
19. Scalable optimization and decision-making in operations research.
20. Classification, sorting and clustering methods based on multiple criteria: recent trends.
21. Comparing groups of units through composite indicators in a non-convex approach: corporate social responsibility for the food and beverage manufacturing industry
22. Selection of optimum maintenance strategy based on FAHP integrated with GRA-TOPSIS.
23. Computational relevance of the Bayesian paradigm: Discussion of Professor Singpurwalla's paper
24. A coupling cutting stock-lot sizing problem in the paper industry
25. Innovation in humanitarian logistics and supply chain management: a systematic review.
26. A structured literature review on the interplay between emerging technologies and COVID-19 – insights and directions to operations fields.
27. Relevance of the Bayesian paradigm for “applied probabilists”: Discussion of Professor Singpurwalla's paper
28. Green supplier selection and order allocation in a low-carbon paper industry: integrated multi-criteria heterogeneous decision-making and multi-objective linear programming approaches
29. Data-driven reliability and resilience measure of transportation systems considering disaster levels.
30. Great partners: how deep learning and blockchain help improve business operations together.
31. Preface: New trends on combinatorial optimization for network and logistical applications.
32. Robust sourcing contract design for the manufacturer under supply risk
33. A bibliography of ATM related papers
34. Cross-influence of information and risk effects on the IPO market: exploring risk disclosure with a machine learning approach.
35. Preface: Recent advances in multiple objective optimization and goal programming.
36. Home healthcare routing and scheduling: operations research approaches and contemporary challenges
37. Extension of the Directed Search Domain algorithm for multi-objective optimization to higher dimensions
38. Hybrid metaheuristic for the dial-a-ride problem with private fleet and common carrier integrated with public transportation
39. Evaluating the optimal timing and capacity of investments in flexible combined heat and power generation for energy-intensive industries
40. Reliability and maintenance modeling for a production system by means of point process observations.
41. Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020).
42. Root cause analysis of manufacturing variation from optical scanning data.
43. Identifying purchase intention through deep learning: analyzing the Q &D text of an E-Commerce platform.
44. Preface: Introducing operations research trends at CLAIO XVIII.
45. Determining cutting stock patterns when defects are present.
46. Hierarchical spatial network models for road accident risk assessment
47. The impact of pollution on the dynamics of industry location and residence choice
48. How robust is the natalist bias of pollution control?
49. Nonlinear Kaldor model augmented with retardation and anticipation
50. Dynamic capital allocation rules via BSDEs: an axiomatic approach
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