This research contributes to understanding and shaping systems for OFMSW separation at urban Small and Medium Enterprises (SMEs, such as offices, shops and service providers). Separating SMEs’ organic fraction of municipal solid waste (OFMSW) is both an opportunity and a serious challenge for the transition towards circular cities. It is an opportunity because OFMSW represents approximately 40% of the total waste mass generated by these companies. It is challenging because post-collection separation is not feasible for OFMSW. Therefore, SMEs disposing of waste should separate their solid waste so that processing the organic fraction for reuse and recycling is practical and attainable. However, these companies do not experience direct advantages from the extra efforts in separating waste, and much of the OFMSW ends up in landfills, often resulting in unnecessary GHG emissions. Therefore, governments and waste processors are looking for ways to improve the OFMSW separation degree by urban companies disposing of waste through policies for behaviour change.There are multiple types of personnel at companies disposing of waste. These co-workers act according to their values, beliefs and norms. They adapt their behaviour continuously, influenced by the physical environment, events over time and self-evaluation of their actions. Therefore, waste separation at companies can be regarded as a Socio-Technical Complex Adaptive System (STCAS). Agent-based modelling and simulation are powerful methods to help understand STCAS. Consequently, we have created an agent-based model representing the evolution of behaviour regarding waste separation at companies in the urban environment. The model aims to show public and private stakeholders involved in solid waste collection, transport and processing to what extent behaviour change policies can shape the system towards desired waste separation degrees.We have co-created the model with participants utilising literature and empirical data from a case study on the transition of the waste collection system of a business park located at a former harbour area in Amsterdam, The Netherlands. First, a conceptual model of the system and the environment was set up through participatory workshops, surveys and interviews with stakeholders, domain experts and relevant actors. Together with our case participants, five policies that affect waste separation behaviour were included in the model. To model the behaviour of each company worker’s values, beliefs and norms during the separation and disposal of OFMSW, we have used the Value-Belief-Norm (VBN) Theory by Stern et al. (1999). We have collected data on waste collection behaviour and separation rates through interviews, workshops and a literature study to operationalise and validate the model.Simulation results show how combinations of behaviour profiles affect waste separation rates. Furthermore, findings show that single waste separation policies are often limitedly capable of changing the behaviour in the system. Rather, a combination of information and communication policies is needed to improve the separation of OFMSW, i.e., dissemination of a newsletter, providing personal feedback to the co-workers disposing of waste, and sharing information on the (improvement of) recycling rates.This study contributes to a better understanding of how policies can support co-workers’ pro-environmental behaviour for organic waste separation rates at SMEs. Thus, it shows policymakers how to stimulate the circular transition by actively engaging co-workers’ waste separation behaviour at SMEs. Future work will extend the model’s purpose by including households and policies supporting separating multiple waste types aimed at various R-strategies proposed by Potting et al. (2016).
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Presented at the 14th 14th European Conference on Management, Leadership and Governance ECMLG 2018: From the article: "Abstract: Scientific literature and practices emphasize that organizations have to align their business strategies with their IT strategy. Strategic alignment of business with IT in organizations is not only a prerequisite for organizations to be successful or competitive but also positively influences IT effectiveness and leads to greater profitability. At the same time organizations have been struggling for a long time with the concept of strategic alignment. In this paper an enhanced concept of strategic alignment is given in such a way that organizations can practically use to align their business and IT. Based on scientific research in this study the existing concept of strategic alignment model, i.e. the relationship between business and IT, was enhanced by placing the discipline of information management between business and IT and thus making information management responsible for the alignment or linking of business with IT. This conceptually enhanced concept of strategic alignment was practically enhanced even further with the use of the Business information Service Library (BiSL) framework. This framework links business with IT on the strategically, managing and operational level of an organization. The BiSL process framework thus provides an description of the information management processes on the different levels of an organization that have to be implemented and carried out to achieve strategic alignment within an organization. With the support of three experts in the field of information management and BiSL, an enhanced Strategic Alignment Model was constructed. To validate this model 25 semi-structured interviews were conducted in eleven organizations. The results of these interviews show not only a strong and solid support for adding information management to the existing concept of strategic alignment but also indicate a strong and solid support for the use of the BiSL framework for implementing information management. These findings support the notion that the BiSL enhanced Strategic Alignment Model not only provides a conceptually enhanced strategic alignment model but also provides organizations with a concept of strategic alignment that organization can practically use to align their business with IT."
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This paper presents an innovative approach that combines optimization and simulation techniques for solving scheduling problems under uncertainty. We introduce an Opt–Sim closed-loop feedback framework (Opt–Sim) based on a sliding-window method, where a simulation model is used for evaluating the optimized solution with inherent uncertainties for scheduling activities. The specific problem tackled in this paper, refers to the airport capacity management under uncertainty, and the Opt–Sim framework is applied to a real case study (Paris Charles de Gaulle Airport, France). Different implementations of the Opt–Sim framework were tested based on: parameters for driving the Opt–Sim algorithmic framework and parameters for riving the optimization search algorithm. Results show that, by applying the Opt–Sim framework, potential aircraft conflicts could be reduced up to 57% over the non-optimized scenario. The proposed optimization framework is general enough so that different optimization resolution methods and simulation paradigms can be implemented for solving scheduling problems in several other fields.
Power Quality, ofwel de kwaliteit van spanning en stroom, is momenteel een veelbesproken onderwerp. Door de sterke toename van niet-lineaire en energiebesparende belastingen (denk bijv. aan spaar- en ledverlichting, computervoedingen, frequentieregelaars, solaromvormers, etc.) verslechtert de kwaliteit van de netspanning terwijl diezelfde apparatuur juist gevoeliger worden voor verstoringen. Dit heeft nadelige economische en technische gevolgen voor de levensduur, efficiëntie, betrouwbaarheid en veiligheid van zowel de energie infrastructuur als de aangesloten apparatuur. Het belang van Power Quality blijkt ook uit het recent aantal publicaties en conferenties op dit vakgebied. Desondanks is de technische en wetenschappelijke analyse van Power Quality problemen voornamelijk fenomenologisch van aard. Problemen worden doorgaans beschreven aan de hand van metingen. Oplossingen worden meestal gezocht in het ad hoc plaatsen van commerciële power conditioners die de spanning en stroom beogen te verbeteren. De Power Quality problemen waar MKB-er Kanters al jaren mee worstelt zijn typerend voor de vele Power Quality problemen waar MKB-er HyTEPS, marktleider in Power Quality en Energy Efficiency, dagelijks mee te maken heeft. De installaties kunnen worden doorgemeten, maar het blijft lastig om de veroorzaker(s) van het Power Quality probleem met zekerheid vast te stellen. Het is meestal niet toegestaan om ‘verdachte’ apparaten af te schakelen in dit proces. De optimale plaatsing van de power conditioner(s) blijft daarmee een open vraag. Derhalve ontstaat de dringende behoefte aan computersimulaties om de oorzaak van verstoring te analyseren en de mogelijke oplossingen te valideren. PQsim onderzoekt of middels modellering en simulatie de bron van Power Quality problemen kan worden gealloceerd zodat er efficiënt oplossingen kunnen worden ontwikkeld en toegepast. De kennisassimilatie tussen HyTEPS, Kanters, RUG en de HAN beoogt een solide basis te vormen voor een unieke systematische en regeltechnische benadering van Power Quality problemen. De verworven inzichten dienen voorts als input voor toekomstige SiA-RAAK/TKI projecten.
