MARC details
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08178 a2200253 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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20250714085839.0 |
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250609b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781786308092 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
338.1 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Koubaa, Mayssa (ed.) |
| 245 ## - TITLE STATEMENT |
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| Title |
Optimization in the Agri-Food supply chain: recent studies |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Place of publication, distribution, etc. |
Hoboken: |
| Name of publisher, distributor, etc. |
ISTE & John Wiley, |
| Date of publication, distribution, etc. |
2024. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xv, 256p., app., ref., ind., 24 cm x 16 cm |
| 490 ## - SERIES STATEMENT |
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| Series statement |
Systems and industrial engineering series |
| 500 ## - GENERAL NOTE |
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| General note |
Recommended by: Githa Heggde |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
Summary: 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. |
| 521 ## - TARGET AUDIENCE NOTE |
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| Target audience note |
Content:<br/><br/>Chapter 1. Selection of Tomato Varieties on Agri-Food Supply Chain: Delphi-AHP Methodology and MOORA-MULTIMOORA Approaches for an Algerian Case Study 1<br/>Mohamed Amine CHERIER and Amina BENDJELLOUL<br/><br/>1.1. Introduction 1<br/><br/>1.2. Literature review 1<br/><br/>1.3. Methodology 3<br/><br/>1.3.1. Delphi method 3<br/><br/>1.3.2. Analytic hierarchy process (AHP) method 3<br/><br/>1.3.3. The MOORA method 5<br/><br/>1.4. Application of the proposed methodology to the tomato industry 7<br/><br/>1.4.1. Application of the Delphi method to the case study 8<br/><br/>1.4.2. Application of AHP methodology to the case study 9<br/><br/>1.4.3. Application of the MOORA and MULTIMOORA methodologies 10<br/><br/>1.5. Discussion 13<br/><br/>1.6. Conclusion 13<br/><br/>1.7. Acknowledgment 14<br/><br/>1.8. References 14<br/><br/>Chapter 2. The Effects and Challenges of Climate Change on the Food-Energy-Water Nexus - Poland as a Case Study 17<br/>Piotr F. BOROWSKI, Erick R. BANDALA, Aleksandra LUBAÑSKA and Eric STEIN<br/><br/>2.1. Introduction 18<br/><br/>2.2. Effect of climate change scenarios on Poland’s FEW nexus 19<br/><br/>2.2.1. Poland’s food production scenarios 20<br/><br/>2.2.2. Poland’s energy usage scenarios 21<br/><br/>2.2.3. Poland’s water security scenarios 22<br/><br/>2.3. Adaptation measures to the effects of climate change for the FEW nexus in Poland 23<br/><br/>2.3.1. Food production adaptation 23<br/><br/>2.3.2. Energy usage adaptation 25<br/><br/>2.3.3. Water security adaptation 27<br/><br/>2.4. Conclusions 31<br/><br/>2.5. List of abbreviations 32<br/><br/>2.6. Acknowledgments 33<br/><br/>2.7. References 33<br/><br/>Chapter 3. Management and Analysis of the Sustainable Initiatives in the Agri-Food Supply Chain in India 41<br/>Chandra Prakash GARG, Munnaluru Sai Venkata YESWANTH and Archana SHARMA<br/><br/>3.1. Introduction 42<br/><br/>3.2. Literature review 43<br/><br/>3.2.1. Sustainable initiatives in the agri-food supply chain (AFSC) 43<br/><br/>3.3. Problem definition 44<br/><br/>3.4. Solution methodology 45<br/><br/>3.4.1. Fuzzy AHP method 46<br/><br/>3.5. Results and discussion 48<br/><br/>3.6. Sensitivity analysis 50<br/><br/>3.7. Conclusion 51<br/><br/>3.8. References 52<br/><br/>Chapter 4. Inventory Management Activities Determinants Post IT Applications in Indian Sugar Supply Chain 55<br/>Rupesh KUMAR, Deepak BANGWAL, Pradeep CHAUHAN and Githa S. HEGGDE<br/><br/>4.1. Introduction 55<br/><br/>4.1.1. Objective of the study 56<br/><br/>4.2. Literature review 57<br/><br/>4.3. Research methodology 59<br/><br/>4.4. Analysis 60<br/><br/>4.4.1. Factor analysis 60<br/><br/>4.4.2. Regression model 63<br/><br/>4.4.3. Hypothesis testing 65<br/><br/>4.5. Results and discussion 66<br/><br/>4.6. Conclusion, limitations and scope for future work 68<br/><br/>4.7. References 68<br/><br/>Chapter 5. Dynamics of the Rice Supply Chain System in Punjab, Pakistan 75<br/>Muhammad Bilal AHSAN, Abd-Ur-REHMAN, Zohaib JABBAR and Hafiz Zahid MAHMOOD<br/><br/>5.1. Introduction 76<br/><br/>5.1.1. Rice supply chain 78<br/><br/>5.1.2. Objectives 78<br/><br/>5.2. Methodology 79<br/><br/>5.3. Results and discussion 80<br/><br/>5.3.1. Value chain mapping of rice 80<br/><br/>5.3.2. Margin analysis of the marketing system 81<br/><br/>5.3.3. Challenges and opportunities for the rice industry of Pakistan 84<br/><br/>5.4. References 86<br/><br/>Chapter 6. Solving the Multi-Objective Four-Dimensional Transportation Problem using the Strength Pareto Evolutionary Algorithm 89<br/>Zainab Alaa HAMEED and Taicir Moalla LOUKIL<br/><br/>6.1. Introduction 90<br/><br/>6.2. A mathematical model for the multi-objective four-dimensional transportation problem 91<br/><br/>6.3. Strength Pareto evolutionary algorithm (SPEA2) 93<br/><br/>6.4. Application of SPEA2 to a real case problem 94<br/><br/>6.5. Results 118<br/><br/>6.6. Conclusions and perspectives 118<br/><br/>6.7. References 119<br/><br/>Chapter 7. Comparison of Classical and Machine Learning Forecasting Techniques: A Case Study of Rice Production in India 121<br/>Deepanshu NAYAK, Millie PANT and Kailash Chandra LACHHWANI<br/><br/>7.1. Introduction 121<br/><br/>7.2. Literature review 126<br/><br/>7.3. Materials and methods 127<br/><br/>7.3.1. Data source 127<br/><br/>7.3.2. Data description 127<br/><br/>7.3.3. Coding environment 128<br/><br/>7.3.4. Forecasting evaluation 133<br/><br/>7.4. Results and discussion 134<br/><br/>7.5. Conclusion and future scope 138<br/><br/>7.6. References 139<br/><br/>Chapter 8. Prioritization of Circular Olive Oil Production in Tunisia based on Multi-Criteria Decision-Making within a Sustainable Life Cycle Framework 143<br/>Mohamed Amir KESKES, Alaeddine ZOUARI, Rémy HOUSSIN, Diala DHOUIB and Jean RENAUD<br/><br/>8.1. Introduction 143<br/><br/>8.2. Literature review 144<br/><br/>8.3. Proposed methodology 145<br/><br/>8.3.1. Calculation of criteria weights using the BWM 147<br/><br/>8.3.2. Ranking of alternatives using the VIKOR method 148<br/><br/>8.4. Olive oil production and waste management case study 149<br/><br/>8.4.1. The olive oil life cycle 149<br/><br/>8.4.2. Alternatives proposed by decision-makers in the field 151<br/><br/>8.4.3. Sustainability criteria (LCSA) 153<br/><br/>8.4.4. Results 155<br/><br/>8.4.5. Discussion 157<br/><br/>8.5. Conclusion 158<br/><br/>8.6. Appendix 159<br/><br/>8.6.1. Olive oil life cycle 159<br/><br/>8.7. References 160<br/><br/>Chapter 9. Open Innovation as a Solution in the Food Supply Chain 161<br/>Bouthaina MAAZOUN and Raoudha KAMMOUN<br/><br/>9.1. Introduction 161<br/><br/>9.2. Theoretical and practical approaches of innovation 164<br/><br/>9.3. From closed innovation to open innovation 165<br/><br/>9.3.1. Context of open innovation 165<br/><br/>9.3.2. Typology of open innovation 168<br/><br/>9.3.3. Challenges of open innovation 170<br/><br/>9.3.4. Practices of open innovation 172<br/><br/>9.4. The food supply chain: characteristics and challenges 173<br/><br/>9.4.1. Characteristics of the food supply chain 173<br/><br/>9.4.2. Challenges of the food supply chain 175<br/><br/>9.5. Open innovation in the food supply chain 178<br/><br/>9.5.1. Main open innovation research works 178<br/><br/>9.5.2. Actors involved in open innovation 180<br/><br/>9.6. Open innovation contributions to the food supply chain 182<br/><br/>9.7. Conclusion 183<br/><br/>9.8. References 184<br/><br/>Chapter 10. The Agri-Food Supply Chain and Logistics Problems Optimization 197<br/>Omid BOYER, Nadia SAEIDI, Farshad KAVEH, Negin BERJIS and Shila SHARIFZADEH<br/><br/>10.1. Introduction 197<br/><br/>10.2. Agri-food supply chain network 200<br/><br/>10.2.1. Forward agri-food supply chain 200<br/><br/>10.2.2. Reverse agri-food supply chain 201<br/><br/>10.2.3. Closed-loop agri-food supply chain 203<br/><br/>10.2.4. An example for the closed-loop supply chain 205<br/><br/>10.3. Approaches in the agri-food supply chain 212<br/><br/>10.3.1. Sustainable agri-food supply chain 212<br/><br/>10.3.2. A sustainable food supply chain model example 216<br/><br/>10.4. Resilience in the agri-food supply chain 221<br/><br/>10.4.1. Risk management and resilience of the agri-food supply chain 222<br/><br/>10.4.2. Agri-food supply chain during Covid-19 pandemic 223<br/><br/>10.4.3. An example for the resilient agri-food supply chain 224<br/><br/>10.4.4. Resilient model based on multi-supplier. 227<br/><br/>10.4.5. Halal supply chain 228<br/><br/>10.5. New approaches in the agri-food supply chain 233<br/><br/>10.5.1. Big data analytics 235<br/><br/>10.5.2. Internet of Things (IoT) 235<br/><br/>10.5.3. Blockchain technology 236<br/><br/>10.5.4. A mathematical model example in the blockchain concept 237 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| General subdivision |
agricultural industries |
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animal industries |
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food industry and trade |
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business logistics |
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Blockchain and AI |
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supply chain management |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Haykal Ammar, Mohamed (ed.) |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Dhouib, Diala (ed.) |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Mnejja, Sirine (ed.) |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Koha item type |
Books |
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Dewey Decimal Classification |
