Towards an Automatized Generation of Rule-Based Systems for Architecting Eco-Industrial Parks

Hein, Andreas M.; Yannou, Bernard; Janković, Marija; Farel, Romain

doi:10.1007/978-981-10-3518-0_60

Cited by 5 publications

(4 citation statements)

References 24 publications

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“…Policymakers could use the proposed model when designing policy actions aimed at supporting the development of a stable IS practice, e.g., regulations or financial support (e.g., Fraccascia et al, 2017c;Hein et al, 2017;Tao et al, 2019). In this regard, consider the IS practice concerning the use of a given waste to replace a given input (for example, the use of marble waste replacing traditional aggregate in concrete production) and suppose that the purchase cost of aggregate is characterized by high fluctuations over time.…”

mentioning

confidence: 99%

The impact of technical and economic disruptions in industrial symbiosis relationships: An enterprise input-output approach

Fraccascia

2019

International Journal of Production Economics

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mentioning

confidence: 99%

The impact of technical and economic disruptions in industrial symbiosis relationships: An enterprise input-output approach

Fraccascia

2019

International Journal of Production Economics

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“…In the example shown, this technique was able to link an LCI flow name mentioning “softwood” to other flows from another LCI database mentioning “cedar,” “spruce,” and “pine,” which are indeed different examples of softwoods. Similarly, for industrial symbiosis matchmaking, word vectors have been proposed as a means to assist with locating synonyms (Hein et al., 2017); however, as we argue further in this paper, they can have value far beyond this limited application and can be used for actual matchmaking and can also be used to give an indication of material properties. More recently, van Capelleveen et al.…”

Section: Methodsmentioning

confidence: 94%

Machine learning‐assisted industrial symbiosis: Testing the ability of word vectors to estimate similarity for material substitutions

Davis¹,

Aid²

2022

J of Industrial Ecology

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A challenge of facilitating industrial symbiosis involves identifying novel uses of waste streams that can satisfy the demands of other industries. For these efforts, a variety of characteristics must often be considered. A mine of relevant knowledge has been gathered in resources such as academic journals and patent databases. However, in looking to harness the potential of such data to support facilitation, compiling information on expansive ranges of material properties and technical requirements from a variety of unstructured sources can pose a significant manual effort. To ameliorate this, we demonstrate and evaluate an automated system that, given a large collection of patents and academic articles related to waste valorization, is able to assist with the process of identifying which waste streams could potentially be used as substitute feedstocks. Instead of aiming to measure (potentially thousands of) material properties directly, we use word correlations as a proxy to reflect "common knowledge." Novel in furthering this approach is the application of word vectors, which have emerged as a promising natural language processing tool. The process employs a

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“…The IS practice allows firms to encompass the borders of traditional supply chains because symbiotic relationships are usually implemented among companies belonging to different industries that might not cooperate in traditional business models (Bansal and McNight, 2009;Geng and Côté, 2007;Herczeg et al, 2018;Jensen, 2016). In addition to waste producers and waste receivers, also companies carrying out waste treatment processes can take part in ISNs, when a waste treatment process is required to make the waste able to be used as input (e.g., Aviso, 2014;Hein et al, 2017b;Lèbre et al, 2017;Liwarska-Bizukojc et al, 2009;Shi and Chertow, 2017).…”

Section: Industrial Symbiosismentioning

confidence: 99%

Business models for industrial symbiosis: A taxonomy focused on the form of governance

Fraccascia

Giannoccaro

Albino

2019

Resources, Conservation and Recycling

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The aim of this paper is to propose a taxonomy of industrial symbiosis (IS) business models. Rather than to adopt a firm perspective, we take a system perspective and focus on the governance of the system made up of the firms implementing IS, being the latter considered an important factor influencing firm's competitive advantage. Four extreme IS business models are identified, characterized on the basis of two governance features: (1) need for coordination and (2) centralization of control. For each model, the main characteristics are presented and the main factors influencing firm value creation and value capture discussed. In doing so, our study contributes to clarify how and why firms applying IS practice can gain competitive advantage, a major gap in the current literature. Consequently, we contribute to the practical development of IS, which appears to be still not fully exploited by firms, despite its relevance.

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Towards an Automatized Generation of Rule-Based Systems for Architecting Eco-Industrial Parks

Cited by 5 publications

References 24 publications

The impact of technical and economic disruptions in industrial symbiosis relationships: An enterprise input-output approach

The impact of technical and economic disruptions in industrial symbiosis relationships: An enterprise input-output approach

Machine learning‐assisted industrial symbiosis: Testing the ability of word vectors to estimate similarity for material substitutions

Business models for industrial symbiosis: A taxonomy focused on the form of governance

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