Mayssa Koubaa is a postdoctoral researcher at OLID Research Laboratory at the Higher Institute of Industrial Management (University of Sfax, Tunisia).Mohamed Haykal Ammar is an assistant professor at the Higher Institute of Industrial Management (University of Sfax, Tunisia) and a member of the OLID Research Laboratory.Diala Dhouib is a full professor in Quantitative Methods at the Higher Institute of Industrial Management (University of Sfax, Tunisia) and Head of the OLID Research Laboratory.Sirine Mnejja is a doctor in Computer Systems Engineering. She is currently working as an assistant in the Department of Computer Science at the Higher Institute of Computer Science and Multimedia (University of Sfax, Tunisia).

• Preface xiMayssa KOUBAA, Mohamed Haykal AMMAR, Diala DHOUIB and Sirine MNEJJAChapter 1. Selection of Tomato Varieties on Agri-Food Supply Chain: Delphi-AHP Methodology and MOORA-MULTIMOORA Approaches for an Algerian Case Study 1Mohamed Amine CHERIER and Amina BENDJELLOUL1.1. Introduction 11.2. Literature review 11.3. Methodology 31.3.1. Delphi method 31.3.2. Analytic hierarchy process (AHP) method 31.3.3. The MOORA method 51.4. Application of the proposed methodology to the tomato industry 71.4.1. Application of the Delphi method to the case study 81.4.2. Application of AHP methodology to the case study 91.4.3. Application of the MOORA and MULTIMOORA methodologies 101.5. Discussion 131.6. Conclusion 131.7. Acknowledgment 141.8. References 14Chapter 2. The Effects and Challenges of Climate Change on the Food-Energy-Water Nexus - Poland as a Case Study 17Piotr F. BOROWSKI, Erick R. BANDALA, Aleksandra LUBA�SKA and Eric STEIN2.1. Introduction 182.2. Effect of climate change scenarios on Poland’s FEW nexus 192.2.1. Poland’s food production scenarios 202.2.2. Poland’s energy usage scenarios 212.2.3. Poland’s water security scenarios 222.3. Adaptation measures to the effects of climate change for the FEW nexus in Poland 232.3.1. Food production adaptation 232.3.2. Energy usage adaptation 252.3.3. Water security adaptation 272.4. Conclusions 312.5. List of abbreviations 322.6. Acknowledgments 332.7. References 33Chapter 3. Management and Analysis of the Sustainable Initiatives in the Agri-Food Supply Chain in India 41Chandra Prakash GARG, Munnaluru Sai Venkata YESWANTH and Archana SHARMA3.1. Introduction 423.2. Literature review 433.2.1. Sustainable initiatives in the agri-food supply chain (AFSC) 433.3. Problem definition 443.4. Solution methodology 453.4.1. Fuzzy AHP method 463.5. Results and discussion 483.6. Sensitivity analysis 503.7. Conclusion 513.8. References 52Chapter 4. Inventory Management Activities Determinants Post IT Applications in Indian Sugar Supply Chain 55Rupesh KUMAR, Deepak BANGWAL, Pradeep CHAUHAN and Githa S. HEGGDE4.1. Introduction 554.1.1. Objective of the study 564.2. Literature review 574.3. Research methodology 594.4. Analysis 604.4.1. Factor analysis 604.4.2. Regression model 634.4.3. Hypothesis testing 654.5. Results and discussion 664.6. Conclusion, limitations and scope for future work 684.7. References 68Chapter 5. Dynamics of the Rice Supply Chain System in Punjab, Pakistan 75Muhammad Bilal AHSAN, Abd-Ur-REHMAN, Zohaib JABBAR and Hafiz Zahid MAHMOOD5.1. Introduction 765.1.1. Rice supply chain 785.1.2. Objectives 785.2. Methodology 795.3. Results and discussion 805.3.1. Value chain mapping of rice 805.3.2. Margin analysis of the marketing system 815.3.3. Challenges and opportunities for the rice industry of Pakistan 845.4. References 86Chapter 6. Solving the Multi-Objective Four-Dimensional Transportation Problem using the Strength Pareto Evolutionary Algorithm 89Zainab Alaa HAMEED and Taicir Moalla LOUKIL6.1. Introduction 906.2. A mathematical model for the multi-objective four-dimensional transportation problem 916.3. Strength Pareto evolutionary algorithm (SPEA2) 936.4. Application of SPEA2 to a real case problem 946.5. Results 1186.6. Conclusions and perspectives 1186.7. References 119Chapter 7. Comparison of Classical and Machine Learning Forecasting Techniques: A Case Study of Rice Production in India 121Deepanshu NAYAK, Millie PANT and Kailash Chandra LACHHWANI7.1. Introduction 1217.2. Literature review 1267.3. Materials and methods 1277.3.1. Data source 1277.3.2. Data description 1277.3.3. Coding environment 1287.3.4. Forecasting evaluation 1337.4. Results and discussion 1347.5. Conclusion and future scope 1387.6. References 139Chapter 8. Prioritization of Circular Olive Oil Production in Tunisia based on Multi-Criteria Decision-Making within a Sustainable Life Cycle Framework 143Mohamed Amir KESKES, Alaeddine ZOUARI, Rémy HOUSSIN, Diala DHOUIB and Jean RENAUD8.1. Introduction 1438.2. Literature review 1448.3. Proposed methodology 1458.3.1. Calculation of criteria weights using the BWM 1478.3.2. Ranking of alternatives using the VIKOR method 1488.4. Olive oil production and waste management case study 1498.4.1. The olive oil life cycle 1498.4.2. Alternatives proposed by decision-makers in the field 1518.4.3. Sustainability criteria (LCSA) 1538.4.4. Results 1558.4.5. Discussion 1578.5. Conclusion 1588.6. Appendix 1598.6.1. Olive oil life cycle 1598.7. References 160Chapter 9. Open Innovation as a Solution in the Food Supply Chain 161Bouthaina MAAZOUN and Raoudha KAMMOUN9.1. Introduction 1619.2. Theoretical and practical approaches of innovation 1649.3. From closed innovation to open innovation 1659.3.1. Context of open innovation 1659.3.2. Typology of open innovation 1689.3.3. Challenges of open innovation 1709.3.4. Practices of open innovation 1729.4. The food supply chain: characteristics and challenges 1739.4.1. Characteristics of the food supply chain 1739.4.2. Challenges of the food supply chain 1759.5. Open innovation in the food supply chain 1789.5.1. Main open innovation research works 1789.5.2. Actors involved in open innovation 1809.6. Open innovation contributions to the food supply chain 1829.7. Conclusion 1839.8. References 184Chapter 10. The Agri-Food Supply Chain and Logistics Problems Optimization 197Omid BOYER, Nadia SAEIDI, Farshad KAVEH, Negin BERJIS and Shila SHARIFZADEH10.1. Introduction 19710.2. Agri-food supply chain network 20010.2.1. Forward agri-food supply chain 20010.2.2. Reverse agri-food supply chain 20110.2.3. Closed-loop agri-food supply chain 20310.2.4. An example for the closed-loop supply chain 20510.3. Approaches in the agri-food supply chain 21210.3.1. Sustainable agri-food supply chain 21210.3.2. A sustainable food supply chain model example 21610.4. Resilience in the agri-food supply chain 22110.4.1. Risk management and resilience of the agri-food supply chain 22210.4.2. Agri-food supply chain during Covid-19 pandemic 22310.4.3. An example for the resilient agri-food supply chain 22410.4.4. Resilient model based on multi-supplier. 22710.4.5. Halal supply chain 22810.5. New approaches in the agri-food supply chain 23310.5.1. Big data analytics 23510.5.2. Internet of Things (IoT) 23510.5.3. Blockchain technology 23610.5.4. A mathematical model example in the blockchain concept 23710.6. References 242List of Authors 251Index 255

Mayssa Koubaa is a postdoctoral researcher at OLID Research Laboratory at the Higher Institute of Industrial Management (University of Sfax, Tunisia).Mohamed Haykal Ammar is an assistant professor at the Higher Institute of Industrial Management (University of Sfax, Tunisia) and a member of the OLID Research Laboratory.Diala Dhouib is a full professor in Quantitative Methods at the Higher Institute of Industrial Management (University of Sfax, Tunisia) and Head of the OLID Research Laboratory.Sirine Mnejja is a doctor in Computer Systems Engineering. She is currently working as an assistant in the Department of Computer Science at the Higher Institute of Computer Science and Multimedia (University of Sfax, Tunisia).

• Preface xiMayssa KOUBAA, Mohamed Haykal AMMAR, Diala DHOUIB and Sirine MNEJJAChapter 1. Selection of Tomato Varieties on Agri-Food Supply Chain: Delphi-AHP Methodology and MOORA-MULTIMOORA Approaches for an Algerian Case Study 1Mohamed Amine CHERIER and Amina BENDJELLOUL1.1. Introduction 11.2. Literature review 11.3. Methodology 31.3.1. Delphi method 31.3.2. Analytic hierarchy process (AHP) method 31.3.3. The MOORA method 51.4. Application of the proposed methodology to the tomato industry 71.4.1. Application of the Delphi method to the case study 81.4.2. Application of AHP methodology to the case study 91.4.3. Application of the MOORA and MULTIMOORA methodologies 101.5. Discussion 131.6. Conclusion 131.7. Acknowledgment 141.8. References 14Chapter 2. The Effects and Challenges of Climate Change on the Food-Energy-Water Nexus - Poland as a Case Study 17Piotr F. BOROWSKI, Erick R. BANDALA, Aleksandra LUBA�SKA and Eric STEIN2.1. Introduction 182.2. Effect of climate change scenarios on Poland’s FEW nexus 192.2.1. Poland’s food production scenarios 202.2.2. Poland’s energy usage scenarios 212.2.3. Poland’s water security scenarios 222.3. Adaptation measures to the effects of climate change for the FEW nexus in Poland 232.3.1. Food production adaptation 232.3.2. Energy usage adaptation 252.3.3. Water security adaptation 272.4. Conclusions 312.5. List of abbreviations 322.6. Acknowledgments 332.7. References 33Chapter 3. Management and Analysis of the Sustainable Initiatives in the Agri-Food Supply Chain in India 41Chandra Prakash GARG, Munnaluru Sai Venkata YESWANTH and Archana SHARMA3.1. Introduction 423.2. Literature review 433.2.1. Sustainable initiatives in the agri-food supply chain (AFSC) 433.3. Problem definition 443.4. Solution methodology 453.4.1. Fuzzy AHP method 463.5. Results and discussion 483.6. Sensitivity analysis 503.7. Conclusion 513.8. References 52Chapter 4. Inventory Management Activities Determinants Post IT Applications in Indian Sugar Supply Chain 55Rupesh KUMAR, Deepak BANGWAL, Pradeep CHAUHAN and Githa S. HEGGDE4.1. Introduction 554.1.1. Objective of the study 564.2. Literature review 574.3. Research methodology 594.4. Analysis 604.4.1. Factor analysis 604.4.2. Regression model 634.4.3. Hypothesis testing 654.5. Results and discussion 664.6. Conclusion, limitations and scope for future work 684.7. References 68Chapter 5. Dynamics of the Rice Supply Chain System in Punjab, Pakistan 75Muhammad Bilal AHSAN, Abd-Ur-REHMAN, Zohaib JABBAR and Hafiz Zahid MAHMOOD5.1. Introduction 765.1.1. Rice supply chain 785.1.2. Objectives 785.2. Methodology 795.3. Results and discussion 805.3.1. Value chain mapping of rice 805.3.2. Margin analysis of the marketing system 815.3.3. Challenges and opportunities for the rice industry of Pakistan 845.4. References 86Chapter 6. Solving the Multi-Objective Four-Dimensional Transportation Problem using the Strength Pareto Evolutionary Algorithm 89Zainab Alaa HAMEED and Taicir Moalla LOUKIL6.1. Introduction 906.2. A mathematical model for the multi-objective four-dimensional transportation problem 916.3. Strength Pareto evolutionary algorithm (SPEA2) 936.4. Application of SPEA2 to a real case problem 946.5. Results 1186.6. Conclusions and perspectives 1186.7. References 119Chapter 7. Comparison of Classical and Machine Learning Forecasting Techniques: A Case Study of Rice Production in India 121Deepanshu NAYAK, Millie PANT and Kailash Chandra LACHHWANI7.1. Introduction 1217.2. Literature review 1267.3. Materials and methods 1277.3.1. Data source 1277.3.2. Data description 1277.3.3. Coding environment 1287.3.4. Forecasting evaluation 1337.4. Results and discussion 1347.5. Conclusion and future scope 1387.6. References 139Chapter 8. Prioritization of Circular Olive Oil Production in Tunisia based on Multi-Criteria Decision-Making within a Sustainable Life Cycle Framework 143Mohamed Amir KESKES, Alaeddine ZOUARI, Rémy HOUSSIN, Diala DHOUIB and Jean RENAUD8.1. Introduction 1438.2. Literature review 1448.3. Proposed methodology 1458.3.1. Calculation of criteria weights using the BWM 1478.3.2. Ranking of alternatives using the VIKOR method 1488.4. Olive oil production and waste management case study 1498.4.1. The olive oil life cycle 1498.4.2. Alternatives proposed by decision-makers in the field 1518.4.3. Sustainability criteria (LCSA) 1538.4.4. Results 1558.4.5. Discussion 1578.5. Conclusion 1588.6. Appendix 1598.6.1. Olive oil life cycle 1598.7. References 160Chapter 9. Open Innovation as a Solution in the Food Supply Chain 161Bouthaina MAAZOUN and Raoudha KAMMOUN9.1. Introduction 1619.2. Theoretical and practical approaches of innovation 1649.3. From closed innovation to open innovation 1659.3.1. Context of open innovation 1659.3.2. Typology of open innovation 1689.3.3. Challenges of open innovation 1709.3.4. Practices of open innovation 1729.4. The food supply chain: characteristics and challenges 1739.4.1. Characteristics of the food supply chain 1739.4.2. Challenges of the food supply chain 1759.5. Open innovation in the food supply chain 1789.5.1. Main open innovation research works 1789.5.2. Actors involved in open innovation 1809.6. Open innovation contributions to the food supply chain 1829.7. Conclusion 1839.8. References 184Chapter 10. The Agri-Food Supply Chain and Logistics Problems Optimization 197Omid BOYER, Nadia SAEIDI, Farshad KAVEH, Negin BERJIS and Shila SHARIFZADEH10.1. Introduction 19710.2. Agri-food supply chain network 20010.2.1. Forward agri-food supply chain 20010.2.2. Reverse agri-food supply chain 20110.2.3. Closed-loop agri-food supply chain 20310.2.4. An example for the closed-loop supply chain 20510.3. Approaches in the agri-food supply chain 21210.3.1. Sustainable agri-food supply chain 21210.3.2. A sustainable food supply chain model example 21610.4. Resilience in the agri-food supply chain 22110.4.1. Risk management and resilience of the agri-food supply chain 22210.4.2. Agri-food supply chain during Covid-19 pandemic 22310.4.3. An example for the resilient agri-food supply chain 22410.4.4. Resilient model based on multi-supplier. 22710.4.5. Halal supply chain 22810.5. New approaches in the agri-food supply chain 23310.5.1. Big data analytics 23510.5.2. Internet of Things (IoT) 23510.5.3. Blockchain technology 23610.5.4. A mathematical model example in the blockchain concept 23710.6. References 242List of Authors 251Index 255

Mayssa Koubaa is a postdoctoral researcher at OLID Research Laboratory at the Higher Institute of Industrial Management (University of Sfax, Tunisia).Mohamed Haykal Ammar is an assistant professor at the Higher Institute of Industrial Management (University of Sfax, Tunisia) and a member of the OLID Research Laboratory.Diala Dhouib is a full professor in Quantitative Methods at the Higher Institute of Industrial Management (University of Sfax, Tunisia) and Head of the OLID Research Laboratory.Sirine Mnejja is a doctor in Computer Systems Engineering. She is currently working as an assistant in the Department of Computer Science at the Higher Institute of Computer Science and Multimedia (University of Sfax, Tunisia).

• Preface xiMayssa KOUBAA, Mohamed Haykal AMMAR, Diala DHOUIB and Sirine MNEJJAChapter 1. Selection of Tomato Varieties on Agri-Food Supply Chain: Delphi-AHP Methodology and MOORA-MULTIMOORA Approaches for an Algerian Case Study 1Mohamed Amine CHERIER and Amina BENDJELLOUL1.1. Introduction 11.2. Literature review 11.3. Methodology 31.3.1. Delphi method 31.3.2. Analytic hierarchy process (AHP) method 31.3.3. The MOORA method 51.4. Application of the proposed methodology to the tomato industry 71.4.1. Application of the Delphi method to the case study 81.4.2. Application of AHP methodology to the case study 91.4.3. Application of the MOORA and MULTIMOORA methodologies 101.5. Discussion 131.6. Conclusion 131.7. Acknowledgment 141.8. References 14Chapter 2. The Effects and Challenges of Climate Change on the Food-Energy-Water Nexus - Poland as a Case Study 17Piotr F. BOROWSKI, Erick R. BANDALA, Aleksandra LUBA�SKA and Eric STEIN2.1. Introduction 182.2. Effect of climate change scenarios on Poland’s FEW nexus 192.2.1. Poland’s food production scenarios 202.2.2. Poland’s energy usage scenarios 212.2.3. Poland’s water security scenarios 222.3. Adaptation measures to the effects of climate change for the FEW nexus in Poland 232.3.1. Food production adaptation 232.3.2. Energy usage adaptation 252.3.3. Water security adaptation 272.4. Conclusions 312.5. List of abbreviations 322.6. Acknowledgments 332.7. References 33Chapter 3. Management and Analysis of the Sustainable Initiatives in the Agri-Food Supply Chain in India 41Chandra Prakash GARG, Munnaluru Sai Venkata YESWANTH and Archana SHARMA3.1. Introduction 423.2. Literature review 433.2.1. Sustainable initiatives in the agri-food supply chain (AFSC) 433.3. Problem definition 443.4. Solution methodology 453.4.1. Fuzzy AHP method 463.5. Results and discussion 483.6. Sensitivity analysis 503.7. Conclusion 513.8. References 52Chapter 4. Inventory Management Activities Determinants Post IT Applications in Indian Sugar Supply Chain 55Rupesh KUMAR, Deepak BANGWAL, Pradeep CHAUHAN and Githa S. HEGGDE4.1. Introduction 554.1.1. Objective of the study 564.2. Literature review 574.3. Research methodology 594.4. Analysis 604.4.1. Factor analysis 604.4.2. Regression model 634.4.3. Hypothesis testing 654.5. Results and discussion 664.6. Conclusion, limitations and scope for future work 684.7. References 68Chapter 5. Dynamics of the Rice Supply Chain System in Punjab, Pakistan 75Muhammad Bilal AHSAN, Abd-Ur-REHMAN, Zohaib JABBAR and Hafiz Zahid MAHMOOD5.1. Introduction 765.1.1. Rice supply chain 785.1.2. Objectives 785.2. Methodology 795.3. Results and discussion 805.3.1. Value chain mapping of rice 805.3.2. Margin analysis of the marketing system 815.3.3. Challenges and opportunities for the rice industry of Pakistan 845.4. References 86Chapter 6. Solving the Multi-Objective Four-Dimensional Transportation Problem using the Strength Pareto Evolutionary Algorithm 89Zainab Alaa HAMEED and Taicir Moalla LOUKIL6.1. Introduction 906.2. A mathematical model for the multi-objective four-dimensional transportation problem 916.3. Strength Pareto evolutionary algorithm (SPEA2) 936.4. Application of SPEA2 to a real case problem 946.5. Results 1186.6. Conclusions and perspectives 1186.7. References 119Chapter 7. Comparison of Classical and Machine Learning Forecasting Techniques: A Case Study of Rice Production in India 121Deepanshu NAYAK, Millie PANT and Kailash Chandra LACHHWANI7.1. Introduction 1217.2. Literature review 1267.3. Materials and methods 1277.3.1. Data source 1277.3.2. Data description 1277.3.3. Coding environment 1287.3.4. Forecasting evaluation 1337.4. Results and discussion 1347.5. Conclusion and future scope 1387.6. References 139Chapter 8. Prioritization of Circular Olive Oil Production in Tunisia based on Multi-Criteria Decision-Making within a Sustainable Life Cycle Framework 143Mohamed Amir KESKES, Alaeddine ZOUARI, Rémy HOUSSIN, Diala DHOUIB and Jean RENAUD8.1. Introduction 1438.2. Literature review 1448.3. Proposed methodology 1458.3.1. Calculation of criteria weights using the BWM 1478.3.2. Ranking of alternatives using the VIKOR method 1488.4. Olive oil production and waste management case study 1498.4.1. The olive oil life cycle 1498.4.2. Alternatives proposed by decision-makers in the field 1518.4.3. Sustainability criteria (LCSA) 1538.4.4. Results 1558.4.5. Discussion 1578.5. Conclusion 1588.6. Appendix 1598.6.1. Olive oil life cycle 1598.7. References 160Chapter 9. Open Innovation as a Solution in the Food Supply Chain 161Bouthaina MAAZOUN and Raoudha KAMMOUN9.1. Introduction 1619.2. Theoretical and practical approaches of innovation 1649.3. From closed innovation to open innovation 1659.3.1. Context of open innovation 1659.3.2. Typology of open innovation 1689.3.3. Challenges of open innovation 1709.3.4. Practices of open innovation 1729.4. The food supply chain: characteristics and challenges 1739.4.1. Characteristics of the food supply chain 1739.4.2. Challenges of the food supply chain 1759.5. Open innovation in the food supply chain 1789.5.1. Main open innovation research works 1789.5.2. Actors involved in open innovation 1809.6. Open innovation contributions to the food supply chain 1829.7. Conclusion 1839.8. References 184Chapter 10. The Agri-Food Supply Chain and Logistics Problems Optimization 197Omid BOYER, Nadia SAEIDI, Farshad KAVEH, Negin BERJIS and Shila SHARIFZADEH10.1. Introduction 19710.2. Agri-food supply chain network 20010.2.1. Forward agri-food supply chain 20010.2.2. Reverse agri-food supply chain 20110.2.3. Closed-loop agri-food supply chain 20310.2.4. An example for the closed-loop supply chain 20510.3. Approaches in the agri-food supply chain 21210.3.1. Sustainable agri-food supply chain 21210.3.2. A sustainable food supply chain model example 21610.4. Resilience in the agri-food supply chain 22110.4.1. Risk management and resilience of the agri-food supply chain 22210.4.2. Agri-food supply chain during Covid-19 pandemic 22310.4.3. An example for the resilient agri-food supply chain 22410.4.4. Resilient model based on multi-supplier. 22710.4.5. Halal supply chain 22810.5. New approaches in the agri-food supply chain 23310.5.1. Big data analytics 23510.5.2. Internet of Things (IoT) 23510.5.3. Blockchain technology 23610.5.4. A mathematical model example in the blockchain concept 23710.6. References 242List of Authors 251Index 255