Optimization models for sustainable insect production chains

Author:

Mouhrim N.1ORCID,Peguero D.A.2ORCID,Green A.2ORCID,Silva B.3,Bhatia A.3ORCID,Ristic D.3,Tonda A.1ORCID,Mathys A.2ORCID,Smetana S.3ORCID

Affiliation:

1. UMR 518 MIA-PS, INRAE, Université Paris-Saclay, 91120 Palaiseau, France

2. Sustainable Food Processing Laboratory, Institute of Food, Nutrition and Health, ETH Zurich, 8022 Zurich, Switzerland

3. German Institute of Food Technologies (DIL e.V.), 49610 Quakenbrueck, Germany

Abstract

Abstract Insect value chains are a complex system with non-linear links between many economic, environmental, and social variables. Multi-objective optimization (MOO) algorithms for finding optimal options for complex system functioning can provide a valuable insight in the development of sustainable insect chains. This review proposes a framework for MOO application that is based on gradual implementation, beginning with factors that have an immediate impact on insect production (feed qualities, resource utilization, yield), and progressing to integrated units (environmental, social, and economic impacts). The review introduces the key hotspots of insect production chains, which have been developed in suitable MOO objectives. They represent aspects of resource use, feed quality and its conversion by insects, labor safety and wage fairness, as well as environmental impacts. The capacity of the suggested MOO framework to describe all facets of sustainability may have certain limits. To determine the framework’s applicability and the specific MOO algorithms that can perform the function, modeling and further testing on real insect production chains would be necessary for the intended objectives.

Publisher

Brill

Subject

Insect Science,Food Science

Reference109 articles.

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5. Barichard, V., 2003. Approches hybrides pour les problèmes multiobjectifs. PhD thesis, Université d’Angers, Angers, France.

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