A cost evaluation model for IoT-enabled prefabricated construction supply chain management

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wennan Zhang ◽  
Kai Kang ◽  
Ray Y. Zhong
Keyword(s):  
Hong Kong ◽  
Supply Chain ◽  
Input Data ◽  
Evaluation Model ◽  
Construction Cost ◽  
Influential Factors ◽  
System Boundary ◽  
Supply Chain System ◽  
Content Type ◽  
The Relationship

PurposeThis paper proposes an evaluation model for prefabricated construction to guide a supply chain with controllable costs. Prefabricated construction is prevalent due to area limitations. Nevertheless, the development is limited by budget control and identifying the factors affecting cost. The degree of close collaboration in the supply chain is closely interconnected with cost performance that includes direct and indirect factors. This paper not only quantizes these factors but also distinguishes the degree of influence of various factors.Design/methodology/approachSystem dynamics is applied to simulate and analyze the construction cost factors through Vensim software. It can also clarify the relationship between cost and other influencing factors. The input data are collected from an Internet of Things (IoT)-enabled system under a Building Information Modeling (BIM) system and Hong Kong government reports.FindingsSimulation results indicate that prefabricated construction cost is mainly influenced by government promotion degree (GPD), working pressure from on-site construction (WPOSC), prefab quality (PQ), load-bearing capacity per vehicle (LBPV) and mold quality (MQ). However, it is more sensitive toward GPD, which indicates that the government should take measures to promote this construction technology. On-site worker management is also essential for the assembly process and indirectly influences the construction cost.Research limitations/implicationsThis paper quantifies indirect influential factors to clarify the specific features for prefabricated construction. The investigated factors are limited.Practical implicationsThe contractor can identify all factors and classify the levels of influence to make decisions under the supply chain system boundary.Social implicationsThe input data are collected from an IoT-enabled system under a BIM system and Hong Kong government reports. Thus, the relationship between construction cost influential factors can be investigated.Originality/valueThis paper quantifies indirect influencing factors and clarifies the specific features in prefabricated construction. The contractor could identify these factors to make decisions and classify the levels of influence under the supply chain system boundary.

Does China's power supply chain systems perform well? A data-based path-index meta-frontier analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jiasen Sun ◽  
Shuqi Xu ◽  
Guo Li
Keyword(s):  
Supply Chain ◽  
Power Supply ◽  
Evaluation Model ◽  
Performance Model ◽  
Chinese Government ◽  
Eastern Region ◽  
Supply Chain System ◽  
Content Type ◽  
Frontier Analysis ◽  
Sustainable Performance

PurposeTo improve the sustainable performance of the power supply chain system (PSCS), the Chinese government proposed a series of relevant policies and promoted the application of various technologies in the power industry. This study analyzes the sustainable performance and technology levels of PSCSs in various regions of China.Design/methodology/approachTo quantify the technological heterogeneity between PSCSs, this study incorporates a meta-frontier into the performance evaluation model. To increase the performance of inefficient PSCSs, this study also proposes a series of performance improvement path indexes.FindingsEmpirical analysis of China's provincial PSCSs, using data from 2014 to 2017, has yielded several key findings. First, the average performance of PSCSs of all provinces in China is 0.7192, indicating that PSCSs in China have great potential for improvement. Second, independent of power generation subsystem (PGS) or power retail subsystem (PRS), regional differences affect the technological heterogeneity of PSCSs in China. Third, for PGS, the technological level of PSCSs in the eastern region displays a high level, while the management level can still be greatly improved. Fourth, only the PSCS of Beijing is best in both PGS and PRS. The two subsystems of the PSCSs in the other provinces are either insufficiently managed or technologically inadequate.Originality/valueCompared with the traditional performance model, the model proposed in this study considers the technological heterogeneity between PSCSs. In addition, the path indexes proposed in this study clearly indicate an improvement direction and the specific improvement level for inefficient PSCSs.

A fuzzy synthetic evaluation of vulnerabilities affecting supply chain resilience of industrialized construction in Hong Kong

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
E.M.A.C. Ekanayake ◽  
Geoffrey Shen ◽  
Mohan Kumaraswamy ◽  
Emmanuel Kingsford Owusu
Keyword(s):  
Hong Kong ◽  
Supply Chain ◽  
Evaluation Model ◽  
Vulnerability Index ◽  
Fuzzy Synthetic Evaluation ◽  
Content Type ◽  
Supply Chain Resilience ◽  
And Performance ◽  
Synthetic Evaluation

PurposeDemands for Industrialized Construction (IC) have intensified with growing construction industry imperatives to (A) boost performance; (B) reduce reliance on “in-situ and on-site” operations; and (C) strengthen supply chain resilience (SCR) not just for survival but also to fulfill obligations to clients in the coronavirus disease 2019–induced (COVID-19–induced) “new normal”. In addressing these imperatives, this paper targets more effective leveraging of latent efficiencies of off-site-manufacture, based on findings from a Hong Kong (HK)–based study on assessing and improving SCR in IC in a high-density city.Design/methodology/approachStarting with the identification of critical supply chain vulnerabilities (CSCVs), this study developed a multilevel–multicriteria mathematical model to evaluate the vulnerability levels of IC supply chains (SCs) in HK based on an in-depth questionnaire survey followed by experts' inputs and analyzing them using fuzzy synthetic evaluation (FSE).FindingsThe overall vulnerability index indicates that IC in HK is substantially vulnerable to disruptions, while production-based vulnerabilities have the highest impact. Top management attention is needed to address these CSCVs in IC in HK.Originality/valueTo the authors' knowledge, this is the first structured evaluation model that measures the vulnerability level of IC, providing useful insights to industry stakeholders for well-informed decision-making in achieving resilient, sustainable and performance-enhanced SCs.

Critical capabilities of improving supply chain resilience in industrialized construction in Hong Kong

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
E.M.A.C. Ekanayake ◽  
Geoffrey Shen ◽  
Mohan M. Kumaraswamy
Keyword(s):  
Hong Kong ◽  
Supply Chain ◽  
Evaluation Model ◽  
Relevant Literature ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Significance Analysis ◽  
Multi Stage ◽  
Financial Strength ◽  
Selection Of

PurposeIndustrialized construction (IC) has accelerated the technological advancements of construction supply chains (SCs) in Hong Kong (HK). However, the usually fragmented IC SCs often lead to friction and turbulence that retard their performance. Streamlining these workflows call for resilient SCs that can proactively overcome various vulnerabilities and avoid disruptions. Having identified supply chain capabilities (SCC) as essential precursors to supply chain resilience (SCR), this paper reports on a vital segment of a study on SCC for IC in HK that focused here on critical SCC (CSCC). Specifically, this paper aims at identifying and probing the CSCC for improving SCR in IC in HK.Design/methodology/approachAfter drawing on the plentiful relevant literature, an empirical study using a questionnaire survey and interviews was conducted following the multi-stage methodological framework of this study. Relevant significance analysis of the collected data enabled the selection of CSCC. Next, factor analysis facilitated grouping them under nine underlying components.FindingsThe results reveal 41 CSCC pertinent to achieve resilient SCs in IC in HK under critical capability components of resourcefulness, flexibility, capacity, adaptability, efficiency, financial strength, visibility, anticipation and dispersion.Originality/valueIt is expected that industry practitioners would benefit from prior knowledge of CSCC and their levels of criticalities, so as to prioritize integrating them suitably into SC processes, to develop value-enhanced-resilient SCs. Further, these findings lay the foundations for developing a powerful evaluation model to assess, then improve, SCR in IC in HK by mapping the identified CSCC with relevant critical vulnerabilities, based on study outcomes.

scholarly journals Criterial suppliers’ evaluation model aimed at SCM performance, production and engineering process’s improvement

2017 ◽  
Vol 2 (1) ◽  
pp. 45-51
Author(s):  
Oana Dumitrascu
Keyword(s):  
Supply Chain ◽  
High Performance ◽  
Evaluation Model ◽  
Engineering Process ◽  
Supply Chain System ◽  
Secondary Sources ◽  
Services Delivery ◽  
Quality Aspects ◽  
And Control ◽  
The Relationship

Abstract This paper focuses on the suppliers’ evaluation and selection and aims to develop a criterial model of suppliers’ evaluation as an innovative method for engineering and business education. This new method comes with the purpose of organisational supply chain management performance growth, by improving the entire supply chain system and engineering process, and bringing contribution to the specialty literature in this field. The research methodology is based on qualitative research. The bibliographic research from various secondary sources is used, such as diverse books, scientific articles, reports and information material. In order to achieve a high performance in an organisation it is necessary to monitor and control the procurement process. Certain gaps have been identified in identifying a supplier rating and selection system based on both logistical, financial, price or quality aspects. As an own contribution, this paper proposes a criterial model of evaluating and selecting suppliers, based on specific aspects related to the product, services, delivery and to the financial situation. The motivation of choosing this model is found in its capacity of noticing the negative aspects regarding the relationship between an organisation and its suppliers and finding out the improvement aspects, with a high impact on the engineering process’ and supply chain management’s improvement. The model offers the possibility to benchmark the suppliers, aspect which favours the potential collaboration with future suppliers.

Capabilities to withstand vulnerabilities and boost resilience in industrialized construction supply chains: a Hong Kong study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
E.M.A.C. Ekanayake ◽  
Geoffrey Shen ◽  
Mohan Kumaraswamy ◽  
Emmanuel Kingsford Owusu ◽  
Jin Xue
Keyword(s):  
Hong Kong ◽  
Supply Chain ◽  
Structural Equation ◽  
Evaluation Model ◽  
Equation Modeling ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Body Of Knowledge ◽  
Modeling Process ◽  
Statistical Relationships

PurposeGiven the heightened imperatives for boosting supply chain resilience (SCR) in industrialized construction (IC), it is essential to explore the correlational impacts of supply chain vulnerabilities (SCV) and supply chain capabilities (SCC) which are the measures of SCR, specifically in Hong Kong where policymakers actively promote IC. Therefore, this study aims to develop a model to explore the correlational impacts of vulnerabilities and capabilities targeting SCR in IC.Design/methodology/approachAfter drawing on the general literature on SCR, empirical research using an expert opinion survey was conducted following the methodological framework of this study. The gathered data were then subjected to the partial least squares structural equation modeling process. Thereby, four hypotheses were formulated and tested for 20 capability–vulnerability relationships.FindingsSeven of the 20 statistical relationships tested were identified to be significant. Accordingly, production-based SCV were identified as the most critical disruptions. “Resourcefulness” could substantially withstand production-based SCV, receiving the highest path significance. An “enablers-results framework” for achieving SCR of IC was also developed based on these findings to help industry practitioners with SCR implementation.Originality/valueTo the authors' knowledge, this is the first structured evaluation model that measures the correlational impacts of SCC and SCV targeting SCR in the construction domain. Further, this study adds substantially to the existing SCR and construction “body of knowledge” by proposing a model explaining how various SCV and SCC influence SCR in IC. These findings also inform the industry where and how to deploy critical SCC at appropriate levels, targeting critical SCV, to contain or extirpate them.

Sustainable supply chain management

2015 ◽  
Vol 115 (3) ◽  
pp. 436-461 ◽  
Author(s):  
MingLang Tseng ◽  
Ming Lim ◽  
Wai Peng Wong
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Balanced Scorecard ◽  
Evaluation Model ◽  
Corporate Sustainability ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Content Type ◽  
Sustainable Supply Chain Management ◽  
Fuzzy Delphi

Purpose – Assessing a measure of sustainable supply chain management (SSCM) performance is currently a key challenge. The literature on SSCM is very limited and performance measures need to have a systematic framework. The recently developed balanced scorecard (BSC) is a measurement system that requires a balanced set of financial and non-financial measures. The purpose of this paper is to evaluate the SSCM performance based on four aspects i.e. sustainability, internal operations, learning and growth, and stakeholder. Design/methodology/approach – This paper developed a BSC hierarchical network for SSCM in a close-loop hierarchical structure. A generalized quantitative evaluation model based on the Fuzzy Delphi Method (FDM) and Analytical Network Process (ANP) were then used to consider both the interdependence among measures and the fuzziness of subjective measures in SSCM. Findings – The results of this study indicate that the top-ranking aspect to consider is that of stakeholders, and the top five criteria are green design, corporate sustainability, strategic planning for environmental management, supplier cost-saving initiatives and market share. Originality/value – The main contributions of this study are twofold. First, this paper provides valuable support for supply chain stakeholders regarding the nature of network hierarchical relations with qualitative and quantitative scales. Second, this paper improves practical performance and enhances management effectiveness for SSCM.

Autonomous evolution of service system in cluster supply chain

Kybernetes ◽  
2015 ◽  
Vol 44 (1) ◽  
pp. 139-158
Author(s):  
Xiao Xue ◽  
Shufang Wang ◽  
Hao Chao
Keyword(s):  
Supply Chain ◽  
Service Composition ◽  
Service System ◽  
Evaluation Model ◽  
Service Component ◽  
Evolution Mechanism ◽  
Content Type ◽  
External Customer ◽  
Qos Evaluation ◽  
Autonomous Evolution

Purpose – The purpose of this paper is to provide strong theoretical and technical support for the dynamic evolution of service system in “Cluster Supply Chain”(CSC), which can deal with two kinds of context changes: the internal service component changes and the external customer requirement changes. Design/methodology/approach – A “feedback-based” evolution mechanism of service system for CSC is proposed in this study. By means of the feedback update of enterprise service’s Quality of Service (QoS) attribute and the adjustment of the assumed QoS evaluation model, the evolution of service system can be achieved to suit the dynamic market demands. Findings – Results of the study suggest: by means of the “feed-back” evolution mechanism of service system, the enterprises in CSC can handle the context changes effectively to maintain the optimized operation status. Practical implications – The implementation of evolution mechanism in service system can keep the effectiveness of enterprise service composition to face the frequent service component changes and the unpredictable market turbulence. Originality/value – This paper proposes a method to realize the autonomous evolution of service system in CSC, which can support the flexibility and adaptability of enterprise service composition in the changing environment.

Effects of cloud computing assimilation on supply chain financing risks of SMEs

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Qiang Lu ◽  
Jinliang Chen ◽  
Hua Song ◽  
Xiangyu Zhou
Keyword(s):  
Cloud Computing ◽  
Supply Chain ◽  
Small And Medium Enterprises ◽  
Supply Chain Integration ◽  
Content Type ◽  
Supply Chain Financing ◽  
Medium Enterprises ◽  
The Relationship ◽  
Moderating Role

Purpose The purpose of this study is to examine how cloud computing assimilation reduces supply chain financing (SCF) risks of small and medium enterprises (SMEs). This study also investigated the mediating roles of internal and external supply chain integration between cloud computing assimilation and the SCF risks of SMEs, as well as the moderating role of environmental competitiveness. Design/methodology/approach Data was collected from surveys of SMEs located in China. Multiple regression analysis was used to validate the proposed theoretical model and research hypotheses. Findings The findings show that cloud computing assimilation could reduce the SCF risks of SMEs directly. The results also indicate that both internal and external supply chain integration mediate the relationship between cloud computing assimilation and SCF risks. Furthermore, environmental competitiveness inhibits the effects of cloud computing assimilation on SCF risks. Originality/value To our best knowledge, this is the preliminary study to explore the role of cloud computing assimilation in reducing the SCF risks of SMEs. Also, this study attempted to investigate the process by which cloud computing assimilation affects the SCF risks of SMEs.

The mediating effect of supply chain flexibility on the relationship between supply chain integration and supply chain performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anurodhsingh Khanuja ◽  
Rajesh Kumar Jain
Keyword(s):  
Supply Chain ◽  
Survey Methodology ◽  
Mediating Effect ◽  
Supply Chain Integration ◽  
Supply Chain Performance ◽  
Business Practices ◽  
Chain Flexibility ◽  
Content Type ◽  
Supplier Integration ◽  
The Relationship

PurposeSupply chain integration (SCI) and flexibility (SCF) are recognised as crucial business practices and capability in the global competitive market. However, limited research has paid attention to study the relationship between SCI, SCF and their impact on supply chain performance (SCP). Therefore, the purpose of this paper is to establish a relationship between integration, flexibility and performance.Design/methodology/approachThe structural equation modelling technique was used to analyse the 187 data collected from Indian organisations through the survey methodology.FindingsFindings indicate that external integration contributes significantly to realise SCF and SCP. Sourcing and logistics flexibility also help to improve the SCP. The mediation analysis showed that the association of customer and supplier integration with SCP is partially and fully mediated by logistics flexibility, respectively. This study suggests that integration influences the SCP when the firm has a strong association with downstream partners and enough capability for logistics flexibility.Research limitations/implicationsThe study has collected cross-sectional data to analyse the relationship between SCI, SCF and SCP. However, as integration requires an effort of the years, longitudinal data and industry-specific studies may provide comprehensive views to validate the results of this study.Originality/valueBuilding on relational view theory and dynamic capability theory, the study has proposed the SCP assessment framework based on the relationship between SCI and SCF.

The role of digital economy in China's sustainable development in a post-pandemic environment

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Malin Song ◽  
Chenbin Zheng ◽  
Jiangquan Wang
Keyword(s):  
Economic Growth ◽  
Sustainable Development ◽  
Supply Chain ◽  
Social Development ◽  
Environmental Protection ◽  
Digital Economy ◽  
Series Data ◽  
Content Type ◽  
The Relationship

PurposeThe COVID-19 pandemic is still raging, which calls for an exploration of how to prevent and control pandemics to promote sustainable development. The purpose of this paper is to examine the role of the digital economy in sustainable development, the relationship between the two, the impacts of the outbreak on economic and social development, and changes in China's digital economy.Design/methodology/approachThe study used the time-series data from 2002 to 2019 and an unconstrained VAR model to examine the relationship between the digital economy and sustainable development before the pandemic.FindingsChina's digital economy has promoted the country's sustainable economic and social development; it has advanced rapid economic growth, improved people's living standards, increased efficient utilization of resources, and strengthened environmental protection.Research limitations/implicationsAmid the pandemic, China's digital economy developed effectively; it showed strong resilience because of its unique advantages. The digital economy in China has helped the country to control the pandemic in a short period, reduced the risk of supply chain disruption, promoted China's economic growth, and ensured the orderly operation of society. Therefore, countries worldwide are encouraged to prioritize their digital economies.Originality/valueCompared with the extant literature, this study explores the sustainable supply chain in a broader sense in the context of a pandemic, and how the supply chain is influenced by the digital economy. It not only includes the stability, resilience, and viability of the supply chain in economic development but also involves aspects of people's life, resource utilization, and environmental protection.

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