Agent-based model of self-organized industrial symbiosis
Agent-based model of self-organized industrial symbiosis
复制标题
基于Agent的自组织产业共生模型
DOI：
10.1016/j.jclepro.2017.05.128
复制
发表时间：
2017
影响因子：
11.1
通讯作者：
Chahid Ahabchane
中科院分区：
文献类型：
--
作者：
Mohamed Raouf Ghali;J. Frayret;Chahid Ahabchane
工业协同作用是指公司之间的合作伙伴关系，导致资源共享或物质或能源副产品的交换，并导致更清洁的生产过程和更有效地利用资源。它们通常具有经济和环境效益。在一个领土内建立这种创新伙伴关系，导致工业共生关系的发展，这是一个相互联系的工业行为者的动态网络。基础设施服务可以以不同的方式发展，具有不同程度的规划和偶然性，其中信任和知识的传播通常被认为发挥了关键作用。本文提出并评估了一个简单的基于代理的自组织IS开发模型，该模型能够模拟和预测社会因素（即，社会结构和动态、信任、知识传播）对创造工业协同作用和基础设施服务的出现的影响。该模型使用NetLogo进行了测试。通过考虑多个因素的敏感性分析，验证了其与原设计目标的一致性。接下来，设计并进行实验以研究社会结构（即，社交网络的类型）和动态（即，植物之间建立新的社会联系）。结果表明，这两个因素有协同创造的影响，和IS的发展是一个功能的社会动力学和结构。然而，需要进行更多的多学科分析，以更好地了解这一模式的局限性，验证其假设，以及改进它。
Industrial synergies are collaborative partnerships between companies resulting in the sharing of resources or the exchange of material or energy by-products, and leading to cleaner production processes and more efficient use of resources. They generally have both economic and environmental benefits. The creation of such innovative partnerships within a territory leads to the development of an industrial symbiosis (IS), which is a dynamic network of interconnected industrial actors. IS can develop in different manners, with different levels of planning and serendipity, in which the diffusion of trust and knowledge are generally thought to play a key role. This paper proposes and evaluates a simple agent-based model of self-organized IS development capable of simulating and predicting the impacts of social factors (i.e., social structure and dynamics, trust, knowledge diffusion) on the creation of industrial synergies and the emergence of IS. This model was tested using NetLogo. Its consistency with the original design objectives was validated with a sensitivity analysis that considered several factors. Next, experiments were designed and carried out in order to study the influence of the social structure (i.e., types of social network) and dynamics (i.e., creation of new social contacts between plants). Results revealed that both factors have an influence on synergy creation, and IS development is a function of both social dynamics and structure. However, more multidisciplinary analysis is required to better understand the limits of this model, to validate its assumptions, as well as to improve it.