Optimization in the Agri-Food Supply Chain

Recent Studies
Herausgeber: Koubaa, Mayssa; Mnejja, Sirine; Dhouib, Diala; Ammar, Mohamed Haykal

• Gebundenes Buch

Produktbeschreibung

This book discusses the optimization of supply chains in the agri-food and animal industries, and focuses on the integration of technology and sustainability practices. It explores the use of emerging technologies like IoT, Blockchain and AI in supply chain management, and also addresses the need for resilient supply chains and strategies for risk management. Optimization in the Agri-Food Supply Chain provides an overview of various studies conducted in the field, including topics such as the impact of climate change, sustainable initiatives, inventory management activities and the dynamics of specific supply chain systems. It also discusses the use of underutilized crops, optimization techniques, forecasting methods, circular production and the role of open innovation in the food supply chain. Overall, the book aims to contribute to the knowledge on supply chain optimization and also provide insights and recommendations for enhancing efficiency and sustainability in the agri-food and animal industries.

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Produktdetails

• Verlag: Wiley
• Seitenzahl: 288
• Erscheinungstermin: 24. September 2024
• Englisch
• Abmessung: 234mm x 156mm x 18mm
• Gewicht: 562g
• ISBN-13: 9781786308092
• ISBN-10: 1786308096
• Artikelnr.: 71552683

Autorenporträt

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).

Inhaltsangabe

Preface xi
Mayssa KOUBAA, Mohamed Haykal AMMAR, Diala DHOUIB and Sirine MNEJJA
Chapter 1. Selection of Tomato Varieties on Agri-Food Supply Chain:
Delphi-AHP Methodology and MOORA-MULTIMOORA Approaches for an Algerian Case
Study 1
Mohamed Amine CHERIER and Amina BENDJELLOUL
1.1. Introduction 1
1.2. Literature review 1
1.3. Methodology 3
1.3.1. Delphi method 3
1.3.2. Analytic hierarchy process (AHP) method 3
1.3.3. The MOORA method 5
1.4. Application of the proposed methodology to the tomato industry 7
1.4.1. Application of the Delphi method to the case study 8
1.4.2. Application of AHP methodology to the case study 9
1.4.3. Application of the MOORA and MULTIMOORA methodologies 10
1.5. Discussion 13
1.6. Conclusion 13
1.7. Acknowledgment 14
1.8. References 14
Chapter 2. The Effects and Challenges of Climate Change on the
Food-Energy-Water Nexus - Poland as a Case Study 17
Piotr F. BOROWSKI, Erick R. BANDALA, Aleksandra LUBA¿SKA and Eric STEIN
2.1. Introduction 18
2.2. Effect of climate change scenarios on Poland's FEW nexus 19
2.2.1. Poland's food production scenarios 20
2.2.2. Poland's energy usage scenarios 21
2.2.3. Poland's water security scenarios 22
2.3. Adaptation measures to the effects of climate change for the FEW nexus
in Poland 23
2.3.1. Food production adaptation 23
2.3.2. Energy usage adaptation 25
2.3.3. Water security adaptation 27
2.4. Conclusions 31
2.5. List of abbreviations 32
2.6. Acknowledgments 33
2.7. References 33
Chapter 3. Management and Analysis of the Sustainable Initiatives in the
Agri-Food Supply Chain in India 41
Chandra Prakash GARG, Munnaluru Sai Venkata YESWANTH and Archana SHARMA
3.1. Introduction 42
3.2. Literature review 43
3.2.1. Sustainable initiatives in the agri-food supply chain (AFSC) 43
3.3. Problem definition 44
3.4. Solution methodology 45
3.4.1. Fuzzy AHP method 46
3.5. Results and discussion 48
3.6. Sensitivity analysis 50
3.7. Conclusion 51
3.8. References 52
Chapter 4. Inventory Management Activities Determinants Post IT
Applications in Indian Sugar Supply Chain 55
Rupesh KUMAR, Deepak BANGWAL, Pradeep CHAUHAN and Githa S. HEGGDE
4.1. Introduction 55
4.1.1. Objective of the study 56
4.2. Literature review 57
4.3. Research methodology 59
4.4. Analysis 60
4.4.1. Factor analysis 60
4.4.2. Regression model 63
4.4.3. Hypothesis testing 65
4.5. Results and discussion 66
4.6. Conclusion, limitations and scope for future work 68
4.7. References 68
Chapter 5. Dynamics of the Rice Supply Chain System in Punjab, Pakistan 75
Muhammad Bilal AHSAN, Abd-Ur-REHMAN, Zohaib JABBAR and Hafiz Zahid MAHMOOD
5.1. Introduction 76
5.1.1. Rice supply chain 78
5.1.2. Objectives 78
5.2. Methodology 79
5.3. Results and discussion 80
5.3.1. Value chain mapping of rice 80
5.3.2. Margin analysis of the marketing system 81
5.3.3. Challenges and opportunities for the rice industry of Pakistan 84
5.4. References 86
Chapter 6. Solving the Multi-Objective Four-Dimensional Transportation
Problem using the Strength Pareto Evolutionary Algorithm 89
Zainab Alaa HAMEED and Taicir Moalla LOUKIL
6.1. Introduction 90
6.2. A mathematical model for the multi-objective four-dimensional
transportation problem 91
6.3. Strength Pareto evolutionary algorithm (SPEA2) 93
6.4. Application of SPEA2 to a real case problem 94
6.5. Results 118
6.6. Conclusions and perspectives 118
6.7. References 119
Chapter 7. Comparison of Classical and Machine Learning Forecasting
Techniques: A Case Study of Rice Production in India 121
Deepanshu NAYAK, Millie PANT and Kailash Chandra LACHHWANI
7.1. Introduction 121
7.2. Literature review 126
7.3. Materials and methods 127
7.3.1. Data source 127
7.3.2. Data description 127
7.3.3. Coding environment 128
7.3.4. Forecasting evaluation 133
7.4. Results and discussion 134
7.5. Conclusion and future scope 138
7.6. References 139
Chapter 8. Prioritization of Circular Olive Oil Production in Tunisia based
on Multi-Criteria Decision-Making within a Sustainable Life Cycle Framework
143
Mohamed Amir KESKES, Alaeddine ZOUARI, Rémy HOUSSIN, Diala DHOUIB and Jean
RENAUD
8.1. Introduction 143
8.2. Literature review 144
8.3. Proposed methodology 145
8.3.1. Calculation of criteria weights using the BWM 147
8.3.2. Ranking of alternatives using the VIKOR method 148
8.4. Olive oil production and waste management case study 149
8.4.1. The olive oil life cycle 149
8.4.2. Alternatives proposed by decision-makers in the field 151
8.4.3. Sustainability criteria (LCSA) 153
8.4.4. Results 155
8.4.5. Discussion 157
8.5. Conclusion 158
8.6. Appendix 159
8.6.1. Olive oil life cycle 159
8.7. References 160
Chapter 9. Open Innovation as a Solution in the Food Supply Chain 161
Bouthaina MAAZOUN and Raoudha KAMMOUN
9.1. Introduction 161
9.2. Theoretical and practical approaches of innovation 164
9.3. From closed innovation to open innovation 165
9.3.1. Context of open innovation 165
9.3.2. Typology of open innovation 168
9.3.3. Challenges of open innovation 170
9.3.4. Practices of open innovation 172
9.4. The food supply chain: characteristics and challenges 173
9.4.1. Characteristics of the food supply chain 173
9.4.2. Challenges of the food supply chain 175
9.5. Open innovation in the food supply chain 178
9.5.1. Main open innovation research works 178
9.5.2. Actors involved in open innovation 180
9.6. Open innovation contributions to the food supply chain 182
9.7. Conclusion 183
9.8. References 184
Chapter 10. The Agri-Food Supply Chain and Logistics Problems Optimization
197
Omid BOYER, Nadia SAEIDI, Farshad KAVEH, Negin BERJIS and Shila SHARIFZADEH
10.1. Introduction 197
10.2. Agri-food supply chain network 200
10.2.1. Forward agri-food supply chain 200
10.2.2. Reverse agri-food supply chain 201
10.2.3. Closed-loop agri-food supply chain 203
10.2.4. An example for the closed-loop supply chain 205
10.3. Approaches in the agri-food supply chain 212
10.3.1. Sustainable agri-food supply chain 212
10.3.2. A sustainable food supply chain model example 216
10.4. Resilience in the agri-food supply chain 221
10.4.1. Risk management and resilience of the agri-food supply chain 222
10.4.2. Agri-food supply chain during Covid-19 pandemic 223
10.4.3. An example for the resilient agri-food supply chain 224
10.4.4. Resilient model based on multi-supplier. 227
10.4.5. Halal supply chain 228
10.5. New approaches in the agri-food supply chain 233
10.5.1. Big data analytics 235
10.5.2. Internet of Things (IoT) 235
10.5.3. Blockchain technology 236
10.5.4. A mathematical model example in the blockchain concept 237
10.6. References 242
List of Authors 251
Index 255