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.

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.

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 Green Energy Strategic Management for Service of Quality Composition in the Internet of Things Environment

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Jianhao Gao
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Service Composition ◽  
Evaluation Model ◽  
Green Energy ◽  
The Internet ◽  
Energy Evaluation ◽  
Internet Of Things Environment ◽  
Qos Evaluation ◽  
The Internet Of Things

With the rapid development of Internet of Things (IoT) technology, the energy consumption of service composition in the IoT environment is a key problem to be studied. At present, the problems of service composition in the IoT environment mostly focus on the evaluation research based on quality of service (QoS), ignoring the overall energy consumption in the process of dynamic configuration of service composition. Therefore, we construct the service composition structure for the IoT and propose the QoS evaluation model and energy evaluation model for the service composition in the IoT environment. Considering that the service composition in the Internet of things environment is NP hard, moth algorithm (MFO) is successfully applied to the QoS evaluation model and energy evaluation model. The simulation results reveal that MFO has good optimization effect in the abovementioned models, and the optimization effect of MFO is improved by 8% and 6% compared with the genetic algorithm and particle swarm optimization, so as to realize the green energy strategic management of QoS composition in the environment of IoT.

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.

Business management in the football industry from a supply chain management perspective

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhaleh Memari ◽  
Abbas Rezaei Pandari ◽  
Mohammad Ehsani ◽  
Shokufeh Mahmudi
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Business Management ◽  
Relationship Management ◽  
Flow Management ◽  
Manufacturing Firm ◽  
Chain Management ◽  
Content Type ◽  
Proposed Model ◽  
Football Industry

PurposeTo understand the football industry in its entirety, a supply chain management (SCM) approach is necessary. This includes the study of suppliers, consumers and their collaborations. The purpose of this study was to present a business management model based on supply chain management.Design/methodology/approachData were collected through in-depth interviews with 12 academic and executive football experts. After three steps of open, axial and selective coding based on grounded theory with a paradigmatic approach, the data were analysed, and a football supply chain management (FSCM) was developed. The proposed model includes three managerial components: upstream suppliers, the manufacturing firm, and downstream customers.FindingsThe football industry sector has three parts: upstream suppliers, manufacturing firm/football clubs and downstream customers. We proposed seven parts for the managerial processes of football supply chain management: event/match management, club management, resource and infrastructure management, customer relationship management, supplier relationship management, cash flow management and knowledge and information flow management. This model can be used for configuration, coordination and redesign of business operations as well as the development of models for evaluation of the football supply chain's performance.Originality/valueThe proposed model of a football supply chain management, with the existing literature and theoretical review, created a synergistic outcome. This synergy is presented in the linkage of the players in this chain and interactions between them. This view can improve the management of industry productivity and improve the products quality.

Sustainable supply chain management: continuing evolution and future directions

2019 ◽  
Vol 50 (1) ◽  
pp. 122-146 ◽  
Author(s):  
Craig R. Carter ◽  
Marc R. Hatton ◽  
Chao Wu ◽  
Xiangjing Chen
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Theory Development ◽  
Future Research ◽  
Sustainable Supply Chain ◽  
Unit Of Analysis ◽  
Chain Management ◽  
Content Type ◽  
Empirical Validity ◽  
Sustainable Supply Chain Management

Purpose The purpose of this paper is to update the work of Carter and Easton (2011), by conducting a systematic review of the sustainable supply chain management (SSCM) literature in the primary logistics and supply chain management journals, during the 2010–2018 timeframe. Design/methodology/approach The authors use a systematic literature review (SLR) methodology which follows the methodology employed by Carter and Easton (2011). An evaluation of this methodology, using the Modified AMSTAR criteria, demonstrates a high level of empirical validity. Findings The field of SSCM continues to evolve with changes in substantive focus, theoretical lenses, unit of analysis, methodology and type of analysis. However, there are still abundant future research opportunities, including investigating under-researched topics such as diversity and human rights/working conditions, employing the group as the unit of analysis and better addressing empirical validity and social desirability bias. Research limitations/implications The findings result in prescriptions and a broad agenda to guide future research in the SSCM arena. The final section of the paper provides additional avenues for future research surrounding theory development and decision making. Originality/value This SLR provides a rigorous, methodologically valid review of the continuing evolution of empirical SSCM research over a 28-year time period.

An empirical examination of firm financial performance along dimensions of supply chain resilience

2017 ◽  
Vol 40 (3) ◽  
pp. 254-269 ◽  
Author(s):  
Xun Li ◽  
Qun Wu ◽  
Clyde W. Holsapple ◽  
Thomas Goldsby
Keyword(s):  
Supply Chain ◽  
Financial Performance ◽  
Three Dimensions ◽  
Empirical Examination ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Critical Dimensions ◽  
Firm Financial Performance ◽  
Supply Chain Agility ◽  
The Impact

Purpose This paper aims to investigate the impact of three critical dimensions of supply chain resilience, supply chain preparedness, supply chain alertness and supply chain agility, all aimed at increasing a firm’s financial outcomes. In a turbulent environment, firms require resilience in their supply chains to prepare for potential changes, detect changes and respond to actual changes, thus providing superior value. Design/methodology/approach Using survey data from 77 firms, this study develops scales for preparedness, alertness and agility. It then tests their hypothesized relationships with a firm’s financial performance. Findings The results reveal that the three dimensions of supply chain resilience (i.e. preparedness, alertness and agility) significantly impact a firm’s financial performance. It is also found that supply chain preparedness, as a proactive resilience capability, has a greater influence on a firm’s financial performance than the reactive capabilities including alertness and agility, suggesting that firms should pay more attention to proactive approaches for building supply chain resilience. Originality/value First, this study develops a comparatively comprehensive definition for supply chain resilience and explores its dimensionality. Second, this study provides empirically validated instruments for the dimensions of supply chain resilience. Third, this study is one of the first to provide empirical evidence for direct impact of supply chain resilience dimensions on a firm’s financial performance.

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