Intro
Preface
Contents
Algorithms for Multiple Autonomous Robotic Systems in Warehouse Order Picking Operations: A General Review
1 Introduction
2 Automation of Warehouse Operations
3 Single-picker and Multi-picker Cases for Order Picking Related Problems
3.1 Single-picker Case
3.2 Multi-Picker Case
4 Conclusion
References
E-Grocery Challenges and a Solution Approach from Multi-objective Perspectives
1 Introduction
2 Structure of the e-grocery Industry
3 Trends Shaping the e-grocery Industry
3.1 Convenience
3.2 Personalization
3.3 Technology

3.4 Sustainability
4 Recent Customer Expectations
5 Relevant E-grocery Challenges Towards Customer Satisfaction
5.1 Product Availability
5.2 Home Delivery
6 Improving Customer Satisfaction by Leveraging Data
7 Conclusion
References
Product Recovery Option Evaluation for Different Departmental Objectives via Fuzzy AHP
1 Introduction and Literature Review
2 Fuzzy AHP
3 Application in a Telecommunication Company
4 Conclusion
References
A Novel Hesitant Fuzzy Association Rule Mining Model
1 Introduction
2 Preliminaries

3 The Proposed Hesitant FARM Model
4 A Numerical Application
5 Conclusion
References
Evaluating the Criteria in the Dimensions of the Kraljic Purchasing Portfolio Matrix
1 Introduction
2 Proposed Model
2.1 INVSs and Their Operations
3 Application
4 Conclusion
References
Predicting Sovereign Credit Ratings Using Machine Learning Algorithms
1 Introduction
2 Literature Review
3 Methodology and Data
3.1 Methodology
3.2 Data
4 Findings
4.1 Details of Prediction, 1st Response Class-Sovereign Credit Rating

4.2 Details of Prediction, 2nd Response Class-Sovereign Credit Rating Groups
5 Conclusion
References
Healthcare Waste Disposal Method Selection in the Era of COVID-19: A Novel Spherical Fuzzy CRITIC TOPSIS Approach
1 Introduction
1.1 Related Work
1.2 Motivation and Contribution
2 Methodology
2.1 Preliminaries of Spherical Fuzzy Sets
2.2 Proposed Spherical Fuzzy CRITIC TOPSIS
3 Application
3.1 Alternatives and Criteria
3.2 Numerical Solution
3.3 Sensitivity Analysis
4 Conclusion and Future Remarks
References

Online Learning and Lab Courses vs. Traditional Ones in Chemistry During the COVID-19 Pandemic: The Comparative Perceptions of the Undergraduate Students
1 Introduction
2 Literature Review
2.1 Online Learning
2.2 Online Lab Courses
3 Methodology
3.1 Setting
3.2 Participants
3.3 Research Instrument
4 Results
4.1 Participants' Characteristics
4.2 Comparative Perceptions of Students of the Online and Traditional Chemistry Lab Courses
4.3 Comparative Perceptions of Students of Online Learning and In-Class Learning
5 Discussion and Conclusions
References