Simultaneous action or protection after production? Decision making based on a chance-constrained approach by measuring environmental performance considering PM2.5

2021 ◽  
pp. 101147
Author(s):  
Anyu Yu ◽  
Puwei Zhang ◽  
Simon Rudkin
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yasanur Kayikci

PurposeAs the global freight transport network has experienced high vulnerability and threats from both natural and man-made disasters, as a result, a huge amount of data is generated in freight transport system in form of continuous streams; it is becoming increasingly important to develop sustainable and resilient transport system to recover from any unforeseen circumstances quickly and efficiently. The aim of this paper is to develop a stream processing data driven decision-making model for higher environmental performance and resilience in sustainable logistics infrastructure by using fifteen dimensions with three interrelated domains.Design/methodology/approachA causal and hierarchical stream processing data driven decision-making model to evaluate the impact of different attributes and their interrelationships and to measure the level of environmental performance and resilience capacity of sustainable logistics infrastructure are proposed. This work uses fuzzy cognitive maps (FCMs) and fuzzy analytic hierarchy process (FAHP) techniques. A real-life case under a disruptive event scenario is further conducted.FindingsThe result shows which attributes have a greater impact on the level of environmental performance and resilience capacity in sustainable logistics infrastructure.Originality/valueIn this paper, causal and hierarchical stream processing data decision and control system model was proposed by identified three domains and fifteen dimensions to assess the level of environmental performance and resilience in sustainable logistics infrastructure. The proposed model gives researchers and practitioners insights about sustainability trade-offs for a resilient and sustainable global transport supply chain system by enabling to model interdependencies among the decision attributes under a fuzzy environment and streaming data.


Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2306 ◽  
Author(s):  
Christos Vlachokostas ◽  
Charisios Achillas ◽  
Ioannis Agnantiaris ◽  
Alexandra V. Michailidou ◽  
Christos Pallas ◽  
...  

Lately, the model of circular economy has gained worldwide interest. Within its concept, waste is viewed as a beneficial resource that needs to be re-introduced in the supply chains, which also requires the use of raw materials, energy, and water to be minimized. Undeniably, a strong link exists between the bioeconomy, circular economy, bioproducts, and bioenergy. In this light, in order to promote a circular economy, a range of alternative options and technologies for biowaste exploitation are currently available. In this paper, we propose a generic methodological scheme for the development of small, medium, or large-scale units of alternative biowaste treatment, with an emphasis on the production of bioenergy and other bioproducts. With the use of multi-criteria decision analysis, the model simultaneously considers environmental, economic, and social criteria to support robust decision-making. In order to validate the methodology, the latter was demonstrated in a real-world case study for the development of a facility in the region of Serres, Greece. Based on the proposed methodological scheme, the optimal location of the facility was selected, based on its excellent assessment in criteria related to environmental performance, financial considerations, and local acceptance. Moreover, anaerobic digestion of agricultural residues, together with farming and livestock wastes, was recommended in order to produce bioenergy and bioproducts.


2020 ◽  
Vol 12 (24) ◽  
pp. 10245
Author(s):  
Mélanie Schmutz ◽  
Roland Hischier ◽  
Till Batt ◽  
Peter Wick ◽  
Bernd Nowack ◽  
...  

With the COVID-19 pandemic, wearing facemasks became common. Many initiatives arose to develop new types of reusable textile masks in order to overcome a shortage of surgical masks for the health care personnel and for the civil society. Having such high demand of facemasks raises the question about what factors define their environmental sustainability. This paper presents a first simplified Life-Cycle-Assessment (LCA) comparing surgical masks and 2-layered cotton masks. The aim of the paper is to identify and understand the relevant ecological factors in order to support decision making on how textile masks could be designed in a more sustainable manner. The results of our simplified LCA show that the cotton masks were performing better than the surgical masks and vice versa depending on the environmental impact that was looked at. It was also found that the lifespan and the weight of the cotton masks are two variables having a great importance for their overall environmental performance.


2014 ◽  
Vol 6 (2) ◽  
Author(s):  
Juliana Cardoso Braga ◽  
Maria Luiza Almeida Cunha de Castro ◽  
Marlene Teresinha De Muno Colessanti

2021 ◽  
Vol 937 (2) ◽  
pp. 022036
Author(s):  
T Podolskaya ◽  
G V Kravchenko ◽  
Kh Shatila

Abstract Environmental management accounting is a mechanism for determining and evaluating, and incorporating these cost and benefit in the day-to-day business decision making, the full spectrum of environmental costs of current production processes and the economic benefits of contamination prevention, or cleaner processes. In practice, the past 10 years have acquired significance from corporate accounting, which is the most prominent part of cost accounting. Limits were widely acknowledged of conventional financial and cost accounting techniques reflecting companies’ sustainability efforts and providing management with necessary information for sustainable business choices. Information on companies’ environmental performance may be somewhat accessible, but both domestic decision makers and those at the level of public authorities are seldom able to connect environmental information with economic variables and are essentially deprived of environmental cost information. Decision makers do thus not recognize the economic worth of natural resources as asset and the commercial and financial benefit of excellent environmental performance. Beyond ‘goodwill’ efforts, there are a number of market-based incentives for integration with decision making of environmental issues. This article provides an outline of environmental management methods and we evaluate environmental costs in terms of current economic crisis.


2014 ◽  
Vol 16 (04) ◽  
pp. 1005-1021 ◽  
Author(s):  
Jie Wu ◽  
Xiang Lu ◽  
Dong Guo ◽  
Liang Liang

Data envelopment analysis (DEA) has recently gained great popularity in modeling environmental performance because it provides condensed information to decision makers when the production process includes undesirable outputs. In this paper, we develop a new slacks-based efficiency measurement for modeling environmental performance using the environmental DEA technology. The proposed index has more theoretical justification, and distinguishes among different decision making units (DMUs) better in practice. Then we further extend it to the nonoriented index with double aim of increasing desirable outputs and reducing undesirable outputs. Finally, we calculate the index for each of 25 OECD European countries in a model of CO2 emission performance from 2007 to 2009 and the results obtained are presented.


2020 ◽  
Vol 31 (6) ◽  
pp. 1603-1622
Author(s):  
Wafa Boulagouas ◽  
Rachid Chaib ◽  
Mebarek Djebabra

PurposeDecoupling of pressures ranging from regulatory compliance and stakeholders expectations to business competitiveness and sustainability, companies need to align their environmental strategies with a broader consideration of these influences. This paper aims at developing a dynamic alignment model to enhance the environmental performance that considers the influential pressures based on a multi-criteria decision-making process.Design/methodology/approachAuthors have proposed a dynamic model for the alignment of the environmental performance based on a hybrid multi-criteria decision-making approach combining the analytic hierarchy process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). This model considers contemporary strategic dynamism of the environmental performance and provides a methodology to assist companies prioritizing the environmental aspects based on the influential pressures and deciding on the enhancement pathways.FindingsThe proposed model based on a hybrid multi-criteria decision-making process allows prioritizing the environmental aspects considering the allocated weights to the alignment-triggered pressures and draw the way to develop different pathways to improve the alignment.Practical implicationsThe proposed dynamic alignment model presents an instrument for the continuous alignment of the environmental performance and an effective management of changes and contributes to minimize gaps and divergences.Originality/valueIn this paper, the environmental performance has been approached through the contemporary strategic dynamism with the deployment of the multi-criteria decision-making techniques to yield an alignment framework for the environmental decision that combines the internal and external approaches for an effective and sustainable improvement of the environmental performance.


2021 ◽  
Vol 11 (1) ◽  
pp. 147-162
Author(s):  
Simon Weaving

Over the past three years, cinematic virtual reality (CVR) has emerged as a form of media storytelling that takes advantage of the immersive properties of VR technology. However, as a practice it poses a number of challenges for the writer–director used to controlling the frame through which the viewer experiences the narrative. This research outlines the making of Entangled (a live-action, stereoscopic, VR experience incorporating ambisonic audio) and reflects on concept development and production decision-making with reference to the emerging body of academic knowledge about cinematic VR, in particular ideas about the position of the viewer and the nature of narration. The research addresses some of the gaps in knowledge in these areas, reconciling theoretical positions with a deep understanding of the realities of production processes.


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