Implementing Industrial Symbiosis Incentives: an Applied Assessment Framework for Risk Mitigation

AbstractIndustrial symbiosis (IS) is a business model that proposes symbiotic exchanges, allowing the flow of resources, wastes, and utilities between companies. In recent years, IS initiatives have been exponentially growing around the world. This can be attributed to the increasing awareness on the possibility of obtaining economic, environmental, and social benefits through the implementation of this model. Despite the exponential growth of IS initiatives, the companies are still facing problems in the achievement of reliable and permanent synergies. Over the years the literature has identified several factors in the IS emerging process. Incentives are among these factors, being defined as unlocking tools or mechanisms related to diverse dimensions such as economic, political, social, intermediaries, process, and technology. Authors believe that the large-scale implementation of IS incentives has not been properly addressed. In order to promote facilitated IS implementation and achieve a replicator effect, incentives should be fully addressed. In many case studies, it has been observed that the incentives for IS can be threatened by risks, compromising the implementation, and hindering the emerging process. This study developed a dedicated framework that is composed of incentive identification from best practices of IS and expert consultation; a risk assessment model based on risk factors identification and clustering; and finally, the mitigation actions based on the assessment outputs. The main result of this study is one set of mitigations actions that correlate the implementation levels (clusters) and the potential stakeholders involved.

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Technical Risk Assessment of Large-Scale Construction Project Based on Triangle Whitening Weight Function

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.989-994.5294 ◽

2014 ◽

Vol 989-994 ◽

pp. 5294-5299

Author(s):

Wei Ma

Keyword(s):

Risk Assessment ◽

Weight Function ◽

Large Scale ◽

Construction Project ◽

Scale Construction ◽

Assessment Model ◽

Grey Theory ◽

Risk Assessment Model ◽

Technical Risk

Technical risk assessment model of large-scale construction project has been established by using triangle whitening weight function of grey theory against the problems of technical risk assessment of large-scale construction project. In the end, through example verification, this model is approved to be feasible and have certain value of reference and utilization in similar problems.

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Power System Cascading Failure Risk Assessment Model Based on Graph Theory

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.496-500.2844 ◽

2014 ◽

Vol 496-500 ◽

pp. 2844-2847

Author(s):

Fu Chao Zhang ◽

Jia Dong Huang

Keyword(s):

Risk Assessment ◽

Power System ◽

Large Scale ◽

Social Impact ◽

Assessment Model ◽

Levels Of Analysis ◽

Economic Losses ◽

Cascading Failure ◽

Risk Assessment Model ◽

Failure Risk

In recent years, large-scale power blackouts occur frequently in power system, resulting in extremely serious economic losses and social impact [. Scholars from various countries have made various levels of analysis on the causes of widespread blackouts from different angles [2-.The results show that most of the fault are caused by the cascading failure, and the linkage and relevance between failures are typical of such events. Accordingly, to strengthen the analysis of cascading has important significances on preventing the occurrence of large-scale power blackouts.

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Guidelines for Industrial Symbiosis—a Systematic Approach for Content Definition and Practical Recommendations for Implementation

Circular Economy and Sustainability ◽

10.1007/s43615-021-00006-3 ◽

2021 ◽

Author(s):

João Azevedo ◽

Juan Henriques ◽

Marco Estrela ◽

Rui Dias ◽

Doroteya Vladimirova ◽

...

Keyword(s):

Large Scale ◽

Systematic Approach ◽

Implementation Process ◽

Industrial Symbiosis ◽

Full Spectrum ◽

Support Tool ◽

Implementation Processes ◽

Is Implementation ◽

Lack Of Information ◽

Definition Of

AbstractThe increase of industrial symbiosis (IS) activities around the world has strongly contributed to promote awareness among companies on the benefits of this business model and, consequently, their interest to apply/incorporate dedicated IS actions in their activities. In most cases, companies assume self-learning and ongoing approaches for the adaption of synergies, ignoring some fundamental aspects as the full spectrum of considerations regarding these processes. Unexpected barriers frequently appear during the implementation process and become hardly overcome due to incomplete systematic approaches and the lack of information. In this context, it is important to promote effective and sequential guidance procedures regarding IS implementation processes to support companies in their transition to full IS processes implementation. This paper aims to advance the synergy implementation emerging process, through the identification, promotion, and definition of the core steps to be considered in an IS implementation process. This study is based on a comprehensive perspective for the definition of contents to be considered in a step-by-step guideline that includes the different theoretical, technical, and strategic approaches for large-scale IS promotion. The main outputs of this paper are a final set of independent and sequential information clusters, their associated contents identification process, and a comprehensive description of the systematic approach used to support companies in the implementation of their pre-identified stages. The guideline methodology proposed in this study is an important support tool for companies, practitioners, and agents intending to initiate IS synergies implementation and also a strong contribution to the development of complementary guidance activities regarding IS implementation process.

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Risk Assessment of Alpine Skiing Events Based on Knowledge Graph: A Focus on Meteorological Conditions

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi10120835 ◽

2021 ◽

Vol 10 (12) ◽

pp. 835

Author(s):

Muhua Wang ◽

Xueying Zhang ◽

Deen Feng ◽

Yipeng Wang ◽

Wei Tang ◽

...

Keyword(s):

Risk Assessment ◽

Large Scale ◽

Relevant Literature ◽

Meteorological Conditions ◽

Assessment Model ◽

Knowledge Graph ◽

Alpine Skiing ◽

Risk Assessment Model ◽

Sports Events ◽

Event Risk

The alpine skiing event is particularly vulnerable to changes in meteorological conditions as a winter sport held outdoors. The commonly used risk assessment methods cannot be inflexible and cannot be dynamically adjusted to combine multiple risk factors and actual conditions. A knowledge graph can organize data resources in the risk domain as structured knowledge systems. This paper combines a knowledge graph and risk assessment to effectively assess the risk status. First of all, we introduce the relevant literature review of sports event risk assessment, combining the characteristics of alpine skiing events. Then, we summarize the risk types of alpine skiing events and related risk knowledge. Secondly, a model is proposed to introduce an event risk assessment model based on the RippleNet framework combined with the characteristics of large-scale sports events. Moreover, the validity of the model is verified. The results show that the RippleNet-based event risk assessment model can be used to assess the risk of alpine skiing events. In order to effectively deal with the large-scale sports events that occur with a variety of risks, the smooth implementation of large-scale sports events provides a strong guarantee.

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Risk assessment model for venous thromboembolism in hospitalized surgical and non-surgical patients in the 4th Hungarian Antithrombotic Guidelines entitled “Diminution and Treatment of Venous Thromboembolism”

Orvosi Hetilap ◽

10.1556/oh.2010.28944 ◽

2010 ◽

Vol 151 (34) ◽

pp. 1365-1374 ◽

Cited By ~ 1

Author(s):

Marianna Dávid ◽

Hajna Losonczy ◽

Miklós Udvardy ◽

Zoltán Boda ◽

György Blaskó ◽

...

Keyword(s):

Risk Assessment ◽

Venous Thromboembolism ◽

Assessment Model ◽

Surgical Patients ◽

Risk Assessment Model

A kórházban kezelt sebészeti és belgyógyászati betegekben jelentős a vénásthromboembolia-rizikó. Profilaxis nélkül, a műtét típusától függően, a sebészeti beavatkozások kapcsán a betegek 15–60%-ában alakul ki mélyvénás trombózis vagy tüdőembólia, és az utóbbi ma is vezető kórházi halálok. Bár a vénás thromboemboliát leggyakrabban a közelmúltban végzett műtéttel vagy traumával hozzák kapcsolatba, a szimptómás thromboemboliás események 50–70%-a és a fatális tüdőembóliák 70–80%-a nem a sebészeti betegekben alakul ki. Nemzetközi és hazai felmérések alapján a nagy kockázattal rendelkező sebészeti betegek többsége megkapja a szükséges trombózisprofilaxist. Azonban profilaxis nélkül marad a rizikóval rendelkező belgyógyászati betegek jelentős része, a konszenzuson alapuló nemzetközi és hazai irányelvi ajánlások ellenére. A belgyógyászati betegek körében növelni kell a profilaxisban részesülők arányát és el kell érni, hogy trombózisrizikó esetén a betegek megkapják a hatásos megelőzést. A beteg trombóziskockázatának felmérése fontos eszköze a vénás thromboembolia által veszélyeztetett betegek felderítésének, megkönnyíti a döntést a profilaxis elrendeléséről és javítja az irányelvi ajánlások betartását. A trombózisveszély megállapításakor, ha nem ellenjavallt, profilaxist kell alkalmazni. „A thromboemboliák kockázatának csökkentése és kezelése” című, 4. magyar antithromboticus irányelv felhívja a figyelmet a vénástrombózis-rizikó felmérésének szükségességére, és elsőként tartalmazza a kórházban fekvő belgyógyászati és sebészeti betegek kockázati kérdőívét. Ismertetjük a kockázatbecslő kérdőíveket és áttekintjük a kérdőívekben szereplő rizikófaktorokra vonatkozó bizonyítékokon alapuló adatokat.

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Signature Analysis: Statistical Models and Their Application to FA

ISTFA 1996: Conference Proceedings from the 22nd International Symposium for Testing and Failure Analysis ◽

10.31399/asm.cp.istfa1996p0183 ◽

1996 ◽

Author(s):

C.K. Lakshminarayan ◽

S. Pabbisetty ◽

O. Adams ◽

F. Pires ◽

M. Thomas ◽

...

Keyword(s):

Risk Assessment ◽

Failure Analysis ◽

Statistical Models ◽

Essential Elements ◽

Assessment Model ◽

Signature Analysis ◽

Risk Assessment Model ◽

Sample Sizes ◽

Reliability Engineering ◽

Semiconductor Chips

Abstract This paper deals with the basic concepts of Signature Analysis and the application of statistical models for its implementation. It develops a scheme for computing sample sizes when the failures are random. It also introduces statistical models that comprehend correlations among failures that fail due to the same failure mechanism. The idea of correlation is important because semiconductor chips are processed in batches. Also any risk assessment model should comprehend correlations over time. The statistical models developed will provide the required sample sizes for the Failure Analysis lab to state "We are A% confident that B% of future parts will fail due to the same signature." The paper provides tables and graphs for the evaluation of such a risk assessment. The implementation of Signature Analysis will achieve the dual objective of improved customer satisfaction and reduced cycle time. This paper will also highlight it's applicability as well as the essential elements that need to be in place for it to be effective. Different examples have been illustrated of how the concept is being used by Failure Analysis Operations (FA) and Customer Quality and Reliability Engineering groups.

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