Optimization in the Agri-Food Supply Chain

Name: Optimization in the Agri-Food Supply Chain | Recent Studies
Brand: Wiley
Price: 142.99 EUR
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Recent Studies

Mayssa Koubaa Mohamed Haykal Ammar Diala Dhouib Sirine Mnejja(Herausgeber*in)

Wiley (Verlag)

1. Auflage

Erschienen am 22. August 2024

277 Seiten

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Inhalt

Cover
Title Page
Copyright Page
Contents
Preface
Chapter 1. Selection of Tomato Varieties on Agri-Food Supply Chain: Delphi-AHP Methodology and MOORA-MULTIMOORA Approaches for an Algerian Case Study
1.1. Introduction
1.2. Literature review
1.3. Methodology
1.3.1. Delphi method
1.3.2. Analytic hierarchy process (AHP) method
1.3.3. The MOORA method
1.4. Application of the proposed methodology to the tomato industry
1.4.1. Application of the Delphi method to the case study
1.4.2. Application of AHP methodology to the case study
1.4.3. Application of the MOORA and MULTIMOORA methodologies
1.5. Discussion
1.6. Conclusion
1.7. Acknowledgment
1.8. References
Chapter 2. The Effects and Challenges of Climate Change on the Food-Energy-Water Nexus - Poland as a Case Study
2.1. Introduction
2.2. Effect of climate change scenarios on Poland's FEW nexus
2.2.1. Poland's food production scenarios
2.2.2. Poland's energy usage scenarios
2.2.3. Poland's water security scenarios
2.3. Adaptation measures to the effects of climate change for the FEW nexus in Poland
2.3.1. Food production adaptation
2.3.2. Energy usage adaptation
2.3.3. Water security adaptation
2.4. Conclusions
2.5. List of abbreviations
2.6. Acknowledgments
2.7. References
Chapter 3. Management and Analysis of the Sustainable Initiatives in the Agri-Food Supply Chain in India
3.1. Introduction
3.2. Literature review
3.2.1. Sustainable initiatives in the agri-food supply chain (AFSC)
3.3. Problem definition
3.4. Solution methodology
3.4.1. Fuzzy AHP method
3.5. Results and discussion
3.6. Sensitivity analysis
3.7. Conclusion
3.8. References
Chapter 4. Inventory Management Activities Determinants Post IT Applications in Indian Sugar Supply Chain
4.1. Introduction
4.1.1. Objective of the study
4.2. Literature review
4.3. Research methodology
4.4. Analysis
4.4.1. Factor analysis
4.4.2. Regression model
4.4.3. Hypothesis testing
4.5. Results and discussion
4.6. Conclusion, limitations and scope for future work
4.7. References
Chapter 5. Dynamics of the Rice Supply Chain System in Punjab, Pakistan
5.1. Introduction
5.1.1. Rice supply chain
5.1.2. Objectives
5.2. Methodology
5.3. Results and discussion
5.3.1. Value chain mapping of rice
5.3.2. Margin analysis of the marketing system
5.3.3. Challenges and opportunities for the rice industry of Pakistan
5.4. References
Chapter 6. Solving the Multi-Objective Four-Dimensional Transportation Problem using the Strength Pareto Evolutionary Algorithm
6.1. Introduction
6.2. A mathematical model for the multi-objective four-dimensional transportation problem
6.3. Strength Pareto evolutionary algorithm (SPEA2)
6.4. Application of SPEA2 to a real case problem
6.5. Results
6.6. Conclusions and perspectives
6.7. References
Chapter 7. Comparison of Classical and Machine Learning Forecasting Techniques: A Case Study of Rice Production in India
7.1. Introduction
7.2. Literature review
7.3. Materials and methods
7.3.1. Data source
7.3.2. Data description
7.3.3. Coding environment
7.3.4. Forecasting evaluation
7.4. Results and discussion
7.5. Conclusion and future scope
7.6. References
Chapter 8. Prioritization of Circular Olive Oil Production in Tunisia based on Multi-Criteria Decision-Making within a Sustainable Life Cycle Framework
8.1. Introduction
8.2. Literature review
8.3. Proposed methodology
8.3.1. Calculation of criteria weights using the BWM
8.3.2. Ranking of alternatives using the VIKOR method
8.4. Olive oil production and waste management case study
8.4.1. The olive oil life cycle
8.4.2. Alternatives proposed by decision-makers in the field
8.4.3. Sustainability criteria (LCSA)
8.4.4. Results
8.4.5. Discussion
8.5. Conclusion
8.6. Appendix
8.6.1. Olive oil life cycle
8.7. References
Chapter 9. Open Innovation as a Solution in the Food Supply Chain
9.1. Introduction
9.2. Theoretical and practical approaches of innovation
9.3. From closed innovation to open innovation
9.3.1. Context of open innovation
9.3.2. Typology of open innovation
9.3.3. Challenges of open innovation
9.3.4. Practices of open innovation
9.4. The food supply chain: characteristics and challenges
9.4.1. Characteristics of the food supply chain
9.4.2. Challenges of the food supply chain
9.5. Open innovation in the food supply chain
9.5.1. Main open innovation research works
9.5.2. Actors involved in open innovation
9.6. Open innovation contributions to the food supply chain
9.7. Conclusion
9.8. References
Chapter 10. The Agri-Food Supply Chain and Logistics Problems Optimization
10.1. Introduction
10.2. Agri-food supply chain network
10.2.1. Forward agri-food supply chain
10.2.2. Reverse agri-food supply chain
10.2.3. Closed-loop agri-food supply chain
10.2.4. An example for the closed-loop supply chain
10.3. Approaches in the agri-food supply chain
10.3.1. Sustainable agri-food supply chain
10.3.2. A sustainable food supply chain model example
10.4. Resilience in the agri-food supply chain
10.4.1. Risk management and resilience of the agri-food supply chain
10.4.2. Agri-food supply chain during Covid-19 pandemic
10.4.3. An example for the resilient agri-food supply chain
10.4.4. Resilient model based on multi-supplier
10.4.5. Halal supply chain
10.5. New approaches in the agri-food supply chain
10.5.1. Big data analytics
10.5.2. Internet of Things (IoT)
10.5.3. Blockchain technology
10.5.4. A mathematical model example in the blockchain concept
10.6. References
List of Authors
Index
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