Applying process modeling with GPS-X™ for Understanding the impact of the WASSTRIP™ process on nutrient recovery systems

2016 ◽  
Vol 2016 (3) ◽  
pp. 504-518
Author(s):  
Malcolm Fabiyi ◽  
Ahren Britton ◽  
Peter Schauer ◽  
Andy Shaw ◽  
Rajeev Goel
Keyword(s):  
Process Modeling ◽  
Nutrient Recovery ◽  
The Impact

Financial Evaluation and Optimization of Business Processes

2013 ◽  
Vol 4 (2) ◽  
pp. 91-120 ◽  
Author(s):  
Partha B. Sampathkumaran ◽  
Martin Wirsing
Keyword(s):  
Business Process ◽  
Process Modeling ◽  
Business Processes ◽  
Business Process Modeling ◽  
Cost Calculation ◽  
Financial Optimization ◽  
Business Process Modeling Notation ◽  
The Impact ◽  
Structured Approach ◽  
Evaluation Techniques

Designing and optimizing a Business Process based on its financial parameters is a challenging task which requires well defined approaches, actions and recommendations which when implemented lead to tangible and quantifiable results. In this paper the authors consider Business Processes represented through the Business Process Modeling Notation with their Costs evaluated through a pattern based methodology. Using this concept of Cost calculation the authors analyze the effect of different well known best practices on the financial parameters of the process. In this study the authors also evaluate the impact of each task in a process on the overall Cost through Sensitivity Analysis leading to a structured approach to parameter variation to achieve financial optimization. The study briefly introduces the Business Process Modeling Notation, Workflow Patterns, and available Performance Measures Evaluation Techniques and recommends an adaptation of Devils Quadrangle suitable for impact evaluation.

Evaluation of the Impact of Process Modeling on Opportunity Loss/Gain in a Manufacturing Environment

2015 ◽  
Author(s):  
Mohamed A. Gadalla ◽  
Mohamed Seif
Keyword(s):  
Process Modeling ◽  
Process Model ◽  
Assessment Tool ◽  
Research Area ◽  
Assessment Model ◽  
Free Form ◽  
Competitive Edge ◽  
Thermal Growth ◽  
The Impact ◽  
Free Form Surfaces

Process modeling is a very common research area in the field of manufacturing engineering. Examples of process modeling in machining include cutting forces, tool wear, machine thermal growth. Very few research has been done to demonstrate the impact they could have to improve a competitive edge of a company. In this paper, a model based on Monto Carlo simulation has been developed to provide an assessment tool for the impact of a process modeling on the competitive edge in an industrial setting. The competiveness is assessed as an improvement in quality by decreasing the defect rate, or as an opportunity to reduce losses if the process model has been developed or used. Finally, a case study based on an error compensation schema to eliminate the cutting tool deflection errors when machining free form surfaces is used to demonstrate the use and the benefits of a proposed assessment model.

Interaction of the underdog with equality and scarcity

2019 ◽  
Vol 38 (2) ◽  
pp. 254-267
Author(s):  
Bangwool Han ◽  
Minho Kim
Keyword(s):  
Process Modeling ◽  
Purchase Intention ◽  
Purchase Intentions ◽  
Value Orientations ◽  
Brand Positioning ◽  
Ongoing Research ◽  
Content Type ◽  
Social Value Orientations ◽  
The Impact ◽  
The Relationship

Purpose The purpose of this paper is to investigate the moderating roles of equality and scarcity on the impact of underdog brand positioning on consumer purchase intentions. Beyond testing the relationship between underdog brand positioning and purchase intentions (Study 1), the study examines how the equality perception affects consumer choices on underdog brands (Study 2) and how the reasons for product scarcity influence purchase intentions of consumers with prosocial orientations (Study 3). Design/methodology/approach A research model is developed, depicting the impact of underdog brand positioning on purchase intentions via social value orientations and scarcity types. The conceptual model is validated using moderation process modeling and data for which are collected through sets of structured questionnaires analyzed through PROCESS modeling in SPSS. Findings The findings support that compared with top dog brand positioning, underdog brand positioning has a greater impact on consumers’ purchase intentions, and consumers with prosocial orientations generate greater purchase intentions than consumers with proself orientations. In addition, the demand-caused product scarcity also moderates the relationship between underdog brand biography and purchase intentions. Originality/value The study contributes to the ongoing research on brand positioning by examining the associations between equality perception and purchase intentions in the context of underdog brand biography. The study also shows the value of demand-caused scarcity as a moderator of the underdog brand–purchase intention linkage.

Keep fighting or give up? An investigation of consumer regret over repetitive failures in weight loss services

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yi-Fen Liu ◽  
I-Ling Ling
Keyword(s):  
Weight Loss ◽  
Process Modeling ◽  
Structural Equation ◽  
Associated Factors ◽  
Design Methodology ◽  
Consumer Involvement ◽  
Equation Modeling ◽  
Content Type ◽  
Antecedents And Consequences ◽  
The Impact

Purpose Weight loss services feature high consumer involvement that is sometimes marked by repetitive failures. These features can affect regret and its associated factors differently from the way that discrete failure can. The purpose of this study is to investigate consumer regret over repetitive failures in weight loss services as well as its antecedents (overeating and insufficient exercise), consequences (rumination and reflection) and moderators (failure experiences and required effort). This study also investigates how rumination and reflection affect persistence intention. Design/methodology/approach A total of 318 samples were collected through three surveys, one of which contained a scenario, provided to consumers who experienced repetitive failures in weight loss. The proposed relationships were tested using structural equation modeling, dominance analysis and PROCESS modeling. Findings The results of this study reveal that overeating contributes to regret more saliently than does insufficient exercise. The effect of regret on rumination (thoughts about continuing to blame oneself and giving up the pursuit of goals) is stronger than on reflection (thoughts about learning from prior failures and willingness to try again), and greater reflection results in higher persistence intention. Moreover, the effect of insufficient exercise on regret and the effect of regret on rumination are augmented with cumulative failure experiences, whereas required effort enhances the impact of regret on reflection. Originality/value This study is the first to focus on regret over repetitive failures in weight loss. It advances the literature by clarifying the antecedents and consequences of regret, showing how failure experiences influence the relationships between regret and its associated factors as well as identifying interventions that benefit from regret.

Breaking Process Modeling Using FEM – Proposition of a Method for Identification of Material Data and for Identification Features Job Contact

2014 ◽  
Vol 1036 ◽  
pp. 592-597
Author(s):  
Jarosław Mańkowski
Keyword(s):  
Compression Test ◽  
Brittle Material ◽  
Process Modeling ◽  
Complex Structure ◽  
Brittle Materials ◽  
Contact Problems ◽  
Good Convergence ◽  
Material Parameters ◽  
Properties Of Materials ◽  
The Impact

Brittle materials belong to the group of brittle materials with a very complex structure. As heterogeneous and anisotropic materials, are randomly distributed discontinuity structures such as scratches, cracks, pores. One of the problems, which often occurs during the analysis, is to identify the properties of materials data and identify the characteristics of the impact of the tool on a brittle material. This paper presents a method of identification of material parameters and a method of modelling the contact problems for limestone Morawica. Tests and analyzes were performed for a roller compression test. Very good convergence of the results of analysis and of the results of an experiment performed on a real object was obtained.

scholarly journals Valorization of organic waste fractions: a theoretical study on biomethane production potential and the recovery of N and P in Austria

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Daniel C. Rosenfeld ◽  
Johannes Lindorfer ◽  
Markus Ellersdorfer
Keyword(s):  
Natural Gas ◽  
Organic Waste ◽  
High Potential ◽  
Nutrient Recovery ◽  
World Population ◽  
Production Potential ◽  
Recovery Potential ◽  
Biomethane Production ◽  
Efficient Recovery ◽  
The Impact

Abstract Background Due to climate change and the rising world population, sustainable energy and fertilizer production faces many challenges. The utilization of organic waste fractions is one possible solution for promoting sustainability. Organic waste fractions have a high potential for biomethane production, which could positively contribute to the current energy mix. Furthermore, organic waste fractions could be used for nutrient recovery (i.e., the recovery of N and P) concurrently to their use in biomethane production. This study examined the theoretical potential of organic waste fractions for valorization in Austria. Further, it provides a theoretical overview of biomethane production and nutrient-recovery potential. Results This analysis revealed a total substrate potential of 13 Mt per year in Austria, with the highest contribution from manure. Over 900 million Nm3 of biomethane could potentially be produced from organic waste fractions. Furthermore, developing organic waste fractions as an energy source could improve the impact of the natural gas consuming sectors on climate, reducing 2.4 Mt of CO2 emissions annually. Regarding nutrient recovery, more than 60 kt of N and 20 kt of P could potentially be recovered per year. Conclusion The study shows a high potential for producing biomethane from organic waste fractions in Austria. The overall production potential could substitute up to 11% of the Austrian natural gas demand, which could highly decrease the CO2 emissions from fossil energy carriers. Furthermore, a high nutrient recovery potential was identified for an inclusive implementation of an efficient recovery.

The impact of biogas digestate typology on nutrient recovery for plant growth: Accessibility indicators for first fertilization prediction

2020 ◽  
Vol 117 ◽  
pp. 18-31
Author(s):  
Julie Jimenez ◽  
Marco Grigatti ◽  
Elisa Boanini ◽  
Dominique Patureau ◽  
Nicolas Bernet
Keyword(s):  
Plant Growth ◽  
Nutrient Recovery ◽  
Biogas Digestate ◽  
The Impact
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