Recycled construction and demolition waste material: a cost–benefit analysis under uncertainty

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ming-Lang Tseng ◽  
Shiou-Yun Jeng ◽  
Chun-Wei Lin ◽  
Ming K. Lim

PurposeConstruction and demolition waste (CDW) continuously causes environmental and social problems. These formidable challenges lead to sustainable issues and are an increasingly urgent issue worldwide. Prior studies have neglected to link the triple bottom line (TBL) to a reliable estimation or empirical model for estimating CDW production performance and lack empirical sensitivity analysis in profit maximization. This study proposes an attribute analysis to build a cost–benefit analysis (CBA) to obtain profit maximization.Design/methodology/approachThis study uses fuzzy set theory to develop a cost and benefit analysis (CBA) model to assess the sensitivity analysis in terms of its performance on addressing the environmental, economic and social aspects. The model is used to weigh the sum of benefits such as financial gain and total costs of actions taken to mitigate the negative impacts.FindingsBased on the sensitivity analysis conducted, the environmental, economic and social mean scales were significantly changed, i.e. increased, and profits increased drastically. The results provide an insight into environmental legislation compliance, environmental investment and environmental impact as the cause attributes for the CDW recycling profit increase. The results prove that sensitivity analysis is viable to infer that a sustainable production performance can achieve more revenue and profit through an adequate selection of attributes regarding the TBL aspects to address the firm's uncertainty problem in multiple criteria analysis.Originality/valueThis study builds a CBA model to maximize profits for recycled CDW material by linking of environmental, economic and societal aspects for recycled CDW assessments. It considers a sustainability structure with criteria based on TBL aspects to assess production performance to realize the Sustainable Development Goals and presents fuzzy set theory and sensitivity analysis to solve the uncertainty problem in the construction industry.

2018 ◽  
pp. 149-155
Author(s):  
Yanjiang GONG ◽  
Jiang LI ◽  
Wenshuang YU ◽  
Runbing YANG ◽  
Tiejun ZHOU

Based on the concept of DSM and the requirements of the demonstration project, the DSM model of green lighting was studied, carrying out the cost-benefit analysis. Combining the characteristics of the demonstration area, first of all, the cost-benefit of different interest subjects was analyzed. Secondly, the association rules algorithm was analyzed in detail, and the cost-benefit was analyzed by the association rules algorithm. Finally, the sensitivity analysis of the key factors, affecting the cost and benefit of each interest subject, was done by using the algorithm. And it is concluded that the user subsidy rate and consumer electricity price are the key factors that affect the userТs willingness to use green lighting technology and power grid enterprises to implement DSM measures.


2014 ◽  
Vol 41 (6) ◽  
pp. 808-820 ◽  
Author(s):  
David John Evans ◽  
Erhun Kula ◽  
Yoko Nagase

Purpose – The purpose of this paper is to estimate survey-based values of the elasticity of marginal social valuation of income, an important welfare parameter in cost-benefit analysis. Design/methodology/approach – A model relating equity welfare weights to income is developed, and iso-elasticity of marginal valuation of income is tested using survey data obtained from a sample of Turkish politicians who are instrumental in policy making. Findings – Based on the survey feedback, formal statistical testing indicates that Turkish politicians, regardless of party allegiance, reveal preferences consistent with an iso-elastic marginal social valuation of income. The estimated value of the elasticity measure is close to unity for each of the political parties. Originality/value – The originality of the paper is in terms of the survey method used to obtain from Turkish politicians estimates of the marginal social valuation of income. This welfare parameter is needed in the calculation of both social discount rates and welfare weights. The paper will be of interest to academics in the field of welfare economics as well as to practitioners involved in the appraisal of social projects and policies.


2019 ◽  
Vol 9 (2) ◽  
pp. 1-20
Author(s):  
Amol S Dhaigude ◽  
Soham Ray ◽  
Dhrubojit Konwar

Learning outcomes This case has four major learning outcomes using hands-on spreadsheet tool. First is to introduce and apply the Clarke and Wright’s Savings algorithm. Second is to conduct a cost-benefit analysis in transportation set up. Third is to find out the optimal route to be taken to fulfill given demand while satisfying time and capacity constraints. Finally, one has to optimize the number of vehicles required for daily operations. Case overview/synopsis Dhruvam, the protagonist of the case, working at ZeNXL, a third-party logistics service provider, was assigned the task of reducing the operational cost of the company as part of the new service offering called “Route optimization.” This new offering would help optimize vehicle delivery routes to meet daily customer demand. The launch of the new service offering was due in the next 10 days with client LG Electronics to be the first beneficiary. Complexity academic level MBA-1 (Logistics Management), MBA-2 (Route Optimization). This case provides an opportunity for instructors to introduce vehicle routing and scheduling as part of logistics management. Students are expected to use the data given in the case and exhibits to develop the optimal routes (using Clarke and Wright’s Savings algorithm) and conduct cost-benefit analysis. This case also provides insights on the challenges associated with start-up operations. Supplementary materials Teaching Notes are available for educators only. Please contact your library to gain login details or email [email protected] to request teaching notes. Subject code CSS 9: Operations and Logistics


2018 ◽  
Vol 118 (1) ◽  
pp. 96-125 ◽  
Author(s):  
Mengru Tu ◽  
Ming K. Lim ◽  
Ming-Fang Yang

Purpose The purpose of this paper is threefold: to present internet of things (IoT)-based cyber-physical system (CPS) architecture framework to facilitate the integration of IoT and CPS; to implement an IoT-based CPS prototype based on the architecture framework for a PL application scenario of in a case study; and to devise evaluation methods and conduct experimental evaluations on an IoT-based CPS prototype. Design/methodology/approach The design research method, case study, emulation experiment method, and cost-benefit analysis are applied in this research. An IoT-based CPS architecture framework is proposed, and followed by the development of prototype system and testbed platform. Then, the emulation and experimental evaluation of IoT-based CPS are conducted on the testbed, and the experimental results are analyzed. Findings The emulation experiment results show that the proposed IoT-based CPS outperforms current barcode-based system regarding labor cost, efficiency, and operational adaptiveness. The evaluation of the IoT-based CPS prototype indicates significant improvements in PL tasks and reduced part inventory under a dynamic changing shop-floor environment. Practical implications The case study shows that the proposed architecture framework and prototype system can be applied to many discrete manufacturing industries, such as automobile, airplane, bicycle, home appliance, and electronics. Originality/value The proposed IoT-based CPS is among the first to address the need to integrate IoT and CPS for PL applications, and to conduct experimental evaluations and cost-benefit analysis of adopting IoT-based CPS for PL. This paper also contributes to the IoT research by using diverse research methods to offer broader insights into understanding IoT and CPS.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shailendra Kumar ◽  
Mohd. Suhaib ◽  
Mohammad Asjad

PurposeThe study aims to analyze the barriers in the adoption of Industry 4.0 (I4.0) practices in terms of prioritization, cluster formation and clustering of empirical responses, and then narrowing them with identification of the most influential barriers for further managerial implications in the adoption of I4.0 practices by developing an enhanced understanding of I4.0.Design/methodology/approachFor the survey-based empirical research, barriers to I.40 are synthesized from the review of relevant literature and further discussions with academician and industry persons. Three widely acclaimed statistical techniques, viz. principal component analysis (PCA), fuzzy analytical hierarchical process (fuzzy AHP) and K-means clustering are applied.FindingsThe novel integrated approach shows that lack of transparent cost-benefit analysis with clear comprehension about benefits is the major barrier for the adoption of I4.0, followed by “IT infrastructure,” “Missing standards,” “Lack of properly skilled manpower,” “Fitness of present machines/equipment in the new regime” and “Concern to data security” which are other prominent barriers in adoption of I4.0 practices. The availability of funds, transparent cost-benefit analysis and clear comprehension about benefits will motivate the business owners to adopt it, overcoming the other barriers.Research limitations/implicationsThe present study brings out the new fundamental insights from the barriers to I4.0. The new insights developed here will be helpful for managers and policymakers to understand the concept and barriers hindering its smooth implementation. The factors identified are the major thrust areas for a manager to focus on for the smooth implementation of I4.0 practices. The removal of these barriers will act as a booster in the way of implementing I4.0. Real-world testing of findings is not available yet, and this will be the new direction for further research.Practical implicationsThe new production paradigm is highly complex and evolving. The study will act as a handy tool for the implementing manager for what to push first and what to push later while implementing the I4.0 practices. It will also empower a manager to assess the implementation capabilities of the industry in advance.Originality/valuePCA, fuzzy AHP and K means are deployed for identifying the significant barriers to I4.0 first time. The paper is the result of the original conceptual work of integrating the three techniques in the domain of prioritizing and narrowing the barriers from 16 to 6.


2007 ◽  
Vol 20 (3) ◽  
pp. 119-124 ◽  
Author(s):  
Glen Holt

PurposeAims to focus on the issue of value in libraries.Design/methodology/approachDraws from research conducted to set up a conservative transportable cost‐benefit analysis (CBA) methodology that could be applied to public libraries. The paper discusses the CBA‐survey participant comments draws out the value themes that interviewees talked about as they answered various questions.FindingsThere is a huge tendency in North America to talk about libraries as if they are secular churches and to impute spiritual values to them. This paper suggests that while library users may hold such feelings, that is not the first line of reasons for why they use their library.Originality/valueShows how library communications needs to be framed in the practical as well as the ethereal, the practical along with the ideal.


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