A Fuzzy Logic-Based Cost Modelling System for Recycling Carbon Fibre Reinforced Composites

Carbon Fibre Reinforced Polymers (CFRPs) are commonly used materials in manufacturing components and products in the automotive, aerospace, and wind energy industries generating thousands of tons of waste, thus creating a threat to the environment if not recycled. Therefore, it is important for both academia and industry to investigate various ways of recycling this material. However, there is an urgent need for a reliable cost predication system to assist in making informed decisions, planning sustainable treatment, and developing pricing strategies for different waste treatment scenarios. This research paper presents the development of a fuzzy logic-based system to perform cost estimation of recycling processes of the CFRP. The developed system has taken into consideration uncertainties such as the characteristics of End of Life (EoL) material including its size and weight, its origin and diversity of existing recycling methods, and quantity of recycling waste. Cost drivers were divided into categories such as dismantling, transportation, operation, and capital cost. The system was developed by creating 243 fuzzy rules and three levels of fuzzy sets. Moreover, an interactive user-friendly interface was developed to enable the user to use the system easily and efficiently. Finally, case study results were examined to compare the whole life recycling cost of four different recycling technologies in various scenarios of waste treatment. The developed fuzzy logic-based system has the capability in evaluating the cost structure of CFRP recycling techniques and take into consideration uncertainty factors. Hence, a major contribution of the developed system is its provision of the heuristic rules that aid the decision-making process for selecting a cost-effective recycling method. The visualisation facility of the developed system is also a useful tool in enabling potential users to forecast the cost of the CFRP recycling techniques upfront.

A Cost Modelling System for Recycling Carbon Fiber-Reinforced Composites

Cost-effective and environmentally responsible ways of carbon fiber-reinforced composite (CFRP) recycling are increasingly important, owing to the rapidly increasing use of these materials in many industries such as the aerospace, automotive and energy sectors. Product designers need to consider the costs associated with manufacturing and the end-of-life stage of such materials to make informed decisions. They also need to understand the current methods of composite recycling and disposal and their impact on the end-of-life costs. A comprehensive literature review indicated that there is no such tool to estimate CFRP recycling costs without any prior knowledge and expertise. Therefore, this research paper proposed a novel knowledge-based system for the cost modelling of recycling CFRP that does not require in-depth knowledge from a user. A prototype of a cost estimation system has been developed based on existing CFRP recycling techniques such as mechanical recycling, pyrolysis, fluidized bed, and supercritical water. The proposed system has the ability to select the appropriate recycling techniques based on a user’s needs with the help of an optimization module based on the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Estimating recycling costs has taken into consideration various factors such as different material types in different industries, transportation, and dismantling costs. The developed system can be employed to support early-stage designers and decision-making stakeholders in terms of understanding and predicting recycling costs easily and quickly.

Cost Modelling from the Contractor Perspective: Application to Residential and Office Buildings

For the majority of the contractual arrangements used in construction projects, the owner is not responsible for the cost deviations due to the variability of labor productivity or material price, amongst many other aspects. Consequently, the cost performance of a project may be entirely distinct for the owner and the contractor. Since the majority of the quantitative research on cost estimation and deviation found in the literature adopts the owners’ perspective, this research provides a contribution towards modelling costs and cost deviation from a contractors’ perspective. From an initial sample of 13 residential building and 10 office building projects, it was possible to develop models for cost estimation at the early stage of development including both endogenous and exogenous variables. Although the sample is relatively small, the authors were able to fully analyze all the cost data, using no secondary sources of data (very frequent in cost modelling studies). The statistically significant variables in the cost estimation models were the areas above and below ground and the years following the 2008 financial crisis, including the international bailout (2011-2014) period. For estimating the unit cost, a nonlinear model was obtained with the number of underground and total floor, the floor ratio and the years following the 2008 financial crisis, including the international bailout (2011-2014) period as predictors. For the office buildings, it was also found a statistically significant correlation between the cost deviation and the number of underground floors.

Building Resilience Through Cross Industry Team Collaboration

This paper addresses the key issues that go into the making of a heavy truck wherein steel made parts are used in the making of a chassis , so here the challenge for both for the bodyframe designer of the automobile industry and the sheet metal designer of the steel industry to come up with solutions that not only addresses problems relating to the lowering of the weight but also making it strong enough to bear enough loads taking into account changes in materials used , kinematics – differences in body angles that affects the velocity of the actions directed , how parts connected not only in the truck but also in the processes followed including changes in design and thereafter the prototypes to be tried out in the face of oncoming changes . A pentagonal framework that includes open cost modelling as well a business model that talks of creating a value streams in consonance with the changes for the uncertain future has been included.

PARAMETRIC COST MODELLING OF COMPONENTS FOR TURBOMACHINES: PRELIMINARY STUDY

The ever-increasing competitiveness, due to the market globalisation, has forced the industries to modify their design and production strategies. Hence, it is crucial to estimate and optimise costs as early as possible since any following changes will negatively impact the redesign effort and lead time.This paper aims to compare different parametric cost estimation methods that can be used for analysing mechanical components. The current work presents a cost estimation methodology which uses non-historical data for the database population. The database is settled using should cost data obtained from analytical cost models implemented in a cost estimation software. Then, the paper compares different parametric cost modelling techniques (artificial neural networks, deep learning, random forest and linear regression) to define the best one for industrial components.Such methods have been tested on 9 axial compressor discs, different in dimensions. Then, by considering other materials and batch sizes, it was possible to reach a training dataset of 90 records. From the analysis carried out in this work, it is possible to conclude that the machine learning techniques are a valid alternative to the traditional linear regression ones.

SYSTEM DYNAMICS APPROACH FOR WHOLE LIFE CYCLE COST MODELLING OF RESIDENTIAL BUILDING PROJECTS IN UNITED ARAB EMIRATES

Purpose – Project management field is experiencing many challenges to maintain its performance within planned budget. Latest research focused on cost modelling and estimation. The significance of cost modelling comes from the forecasted information value. It is needed in the United Arab Emirates to satisfy the future vision and strategies. Methodology – This article aims to model project's whole life cycle costs of residential buildings in UAE at the preconstruction stage, choosing VENSIM system dynamics approach. The objective is to simulate dynamically cost over time for all outputs. The approach of this research is pure quantitative. It requires mapping diagrams and mathematical computation systems. DEMO simulation and real data verification modelling are used to ensure the outputs’ validity. The mean absolute deviation and mean square error are used for measuring the estimation accuracy. Findings – This research proved that VENSIM system dynamics approach can model and estimate residential building project’s cost and cash flow dynamically through time, with high accuracy, in the United Arab Emirates. Unique contribution to theory, practice and policy – This research provides the first cost estimation modelling for residential projects’ whole life cycle using VENSIM system dynamics approach. It is opening new research opportunities in cost modelling and estimating fields. The theoretical-implications, practical-implications, and limitations are presented in the conclusion for future research.

A time and cost analysis of speech pathology paediatric feeding services delivered in-person versus via telepractice

Introduction Telepractice models of care have the potential to reduce the time and financial burdens that consumers may experience accessing healthcare services. The current study aimed to conduct a time and financial cost analysis of paediatric feeding appointments accessed via telepractice (using videoconferencing) compared to an in-person model. Methods Parents of 44 children with paediatric feeding disorders (PFDs) residing in a metropolitan area completed three questionnaires relating to (a) demographics, (b) time and cost for in-person care and (c) time and cost for telepractice. Both cost questionnaires collected data required for direct and indirect costs comparisons (e.g. out-of-pocket costs associated with the appointment (direct), time away from usual duties (indirect)). Average number of services accessed by each participant, and PFD appointments conducted annually by the service, were collected from service statistics. Analysis involved cost minimisation and cost modelling from a societal perspective. Results The telepractice appointment resulted in significant time ( p = 0.007) and cost (AUD$95.09 per appointment, SD = AUD$64.47, p = < 0.0001) savings per family. The health service cost was equivalent for both models (AUD$58.25). Cost modelling identified cost savings of up to AUD$475.45 per family if 50% of appointments in a 10-session block were converted to telepractice. Potential cost savings of AUD$68,750.07 per annum to society could be realised if 50% of feeding appointments within the service were provided via telepractice. Discussion The telepractice model offered both time and cost benefits. Future service re-design incorporating hybrid services (in-person and telepractice) will help optimise benefits and minimise burden for families accessing services for PFDs.