Studies in Quantitative Decision Making: Selected Papers from XXIII Annual International Conference of the Society of Operations Management (Asset Analytics)

Preface and Introduction
Acknowledgments
About this book
Contents
About the Editors
Inventory Optimization Under Lost Sales and Fractional Lead Times
	1 Introduction
	2 Notation and Assumptions
		2.1 Notation
		2.2 Assumptions
	3 Properties of the Optimal Ordering Function
	4 Monotonicity Properties with Respect to the Lead Times
	5 Base Stock Policies: A Convexity Result
	6 Conclusions
	References
A New Insight on Order Quantity Allocation for Coordinated Multi-tier Multiple Supplier Networks Under Demand Uncertainty
	1 Introduction
	2 Literature Review
	3 Model Formulation for SSOQA Under Demand Uncertainties
		3.1 Influence of Variables on Supply Network Cost and Sustainability Cost
	4 Real-Life Case Data Analysis and New Insights
		4.1 Significant Variables and Their Impact on Supply Network and Sustainability Costs
	5 Conclusions
	Annexure 1
		A.1 Notations and Symbols
		A.2 Model Assumptions Under Sustainability and Demand Uncertainties
	References
Designing Distribution Network for Indian Agri-fresh Food Supply Chain
	1 Introduction
	2 Literature Review
		2.1 Distribution Network Design
		2.2 Multi-period Distribution Network Design
		2.3 Clustering in Distribution Network Design
		2.4 Research Gap
	3 Model Description and Formulation
		3.1 Assumptions
		3.2 The Model
		3.3 Linearization of MINLP
	4 Model Implementation and Numerical Results
		4.1 Data Preparation
		4.2 Comparison Between MINLP and MILP Outcomes
		4.3 Results of a Large-Size Problem
		4.4 Sensitivity Analysis
	5 Conclusions and Future Research
		5.1 Managerial Implications
		5.2 Future Research
	References
A Study on Inventory Models for Perishable Items in a Serial Supply Chain Operating with Price Markdowns
	1 Introduction
	2 Literature Review and Background
	3 Description of the Models for Different Order Policies
		3.1 Assumptions
		3.2 Notations
		3.3 Sequence of Events
		3.4 Mathematical Model Formulation for Perishable Items for Various Ordering Policies
	4 Computational Experimentation
	5 Results of Computational Experimentation
	6 Implications and Concluding Remarks
	Appendix 1: Demand Forecast
	Appendix 2: Sensitivity Analysis
	References
Material Flow Optimisation in a Manufacturing Plant by Real-Coded Genetic Algorithm (RCGA)
	1 Introduction
	2 Case Study #1
	3 Real-Coded Genetic Algorithm (RCGA)
		3.1 Working of RCGA
	4 Case Study #2
	5 Result and Discussion
	6 Conclusion
	References
A Multi-objective Particle Swarm Optimisation-Based Solution Approach for Multiple Mean-Responses Optimisation Considering Empirical Model Uncertainties
	1 Introduction
	2 Literature Review
	3 Proposed Multi-objective Optimisation-Based Solution Approach for Multiple Response Optimisation Problems
	4 Multiple Response Optimisation Case Studies
		4.1 Select Best Implementable Solutions
	5 Conclusions
	Appendix 1
	Appendix 2: Pseudo-code of MOPSO
	References
A Mathematical Model for Scheduling and Rostering of Staff with Real-Life Considerations: The Case of Indian Call Centres
	1 Introduction
	2 A Brief Literature Review
	3 Problem Description
		3.1 Problem Statement
		3.2 Shift Scheduling
		3.3 Task Assignment
		3.4 Break Assignment
		3.5 Days Off Scheduling
	4 Model Formulation
		4.1 Sets
		4.2 Parameters
		4.3 Decision Variables
		4.4 The Proposed MILP Model
		4.5 Special Case 1
		4.6 Special Case 2
	5 Computational Experimentation
		5.1 Numerical Illustrations
		5.2 Computational Results of the Proposed MILP Model
	6 Summary and Scope for Future Research
	References
Product Rate Variation (PRV) Problem and Its Variants
	1 Introduction
	2 Solving the PRV Problem
	3 Numerical Illustration and Computational Testing of the Proposed Algorithms
	4 Variant of the PRV Problem—Application from Round Robin Tournament Scheduling
	5 Variant of the PRV Problem—Application from Scheduling Campus Interviews
	6 Conclusions
	References
Optimized Multimodal Transportation for Efficient Parcel Movement in Courier Industry
	1 Introduction
		1.1 Key Components of Logistics Network
	2 Literature Review
	3 Mathematical Model Formulation
		3.1 The Problem is Modeled Using the Following Notation and Mathematical Formulation
		3.2 Construction Algorithm for Intermediate Model Parameters
		3.3 Decision Variable Used for the Mathematical Model
		3.4 Mathematical Model Formulation
	4 Computational Study
		4.1 Scenario Evaluation and Results
	5 Conclusion
	References
Enhancement for Easy Egress Through Emergency Gate of Bus
	1 Introduction
	2 Methodology
	3 Literature Review
	4 Concept
	5 Results and Analysis
	6 Conclusion
	7 Future Scope
	References