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工程管理前沿：英文版

工程管理前沿：英文版

依托建设领域高层权威信息背景，旨在做好政府领导决策的重要参谋；成为政策理论探讨的前沿阵地，积极探索和引导建设事业发展方向和改革实践；提供重大事件权威报道，深度阐释焦点话题，纵深调查热点事件，努力追求权威性、建设性、实用性和可读性风格；努力做大媒介传播平台，真诚为建设企事业单位服务，为中国建设事业和城市化发展服务，为广大读者开启一个探求知识的窗口。
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  • 主管单位：Chinese Academy of Engineering
    主办单位：Higher Education Press, China;Tsinghua University;Huazhong University of Science and Technology
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工程管理前沿：英文版 >2023年第4期

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  • 摘要：Innovation and knowledge diffusion in megaprojects is one of the most complicated issues in project management.Compared with conventional projects,megaprojects typically entail large-scale investments,long construction periods,and conflicting stakeholder interests,which result in a distinctive pattern of innovation diffusion.However,traditional investigation of innovation diffusion relies on subjective feedback from experts and frequently neglects inter-organizational knowledge creation,which frequently emerges in megaprojects.Therefore,this study adopted project network theory and modeled innovation diffusion in megaprojects as intra-and interorganizational learning processes.In addition,system dynamics and flizzy systems were combined to interpret experts9 subject options as quantitative coefficients of the project network model.This integrated model will assist in developing an insightful understanding of the mechanisms of innovation diffusion in megaprojects.Three typical network structures,namely,a traditional megaproject procurement organization(TMO),the environ megaproject organization(EMO),and an integrated megaproject organization(IMO),were examined under six management scenarios to verify the proposed analytic paradigm.Assessment of project network productivity suggested that the projectivity of the TMO was insensitive to technical and administrative innovations,the EMO could achieve substantial improvement from technical innovations,and the 1MO trended incompatibly with administrative innovations.Thus,industry practitioners and project managers can design and reform agile project coordination by using the proposed quantitative model to encourage innovation adoption and reduce productivity loss at the start of newly established collaborations.
  • 摘要：Residents’concerns and feelings play pivotal roles in smoothly promoting urban redevelopment.Anxiety,as an intuitive feeling toward uncertainties,generally exists among residents who are confronted with redevelopment,and this feeling has gradually attracted scholars’attention.However,relatively few studies have focused on the multidimensional view of this concept and its influencing factors.Drawing upon a large-scale questionnaire survey conducted in 13 pilot areas in China,this study refines and verifies five prominent dimensions of anxiety,namely,housing conditions,monetary compensation,public services,life adaptation,and public participation level,through factor analysis and one-sample/-test.The finding contributes to achieving a complete understanding of anxiety,and the scales developed for measuring these dimensions lay the foundation for further empirical studies on anxiety.The individual and collective effects of age,job,and region variables on anxiety dimensions are demonstrated via independent-sample/-test and analysis of variance,which clarifies the formation process of anxiety and highlights the importance of these contextual variables.Tailored strategies for policymaking and engineering management,including establishing reasonable compensation standards,providing equal public services,and delivering highquality housing,are proposed to relieve residents5 anxiety.These strategies are expected to consider further the sensitive group,such as the elderly,farmers,and casual workers.
  • 摘要：The integration of building information modeling(BIM)and lean construction(LC)provides a solution for the management of megaprojects.Previous studies have generally focused on the theoretical or empirical adoption of BIM and LC.Moreover,only a few studies have examined the approach of simultaneously using BIM and LC in megaprojects.Therefore,an intensive study on the application of BIM and LC in megaprojects,particularly to explore considerably effective integrated application modes of BIM and LC in megaprojects,will substantially promote the management efficiency of megaprojects.The current study describes a method that integrates owner-dominated BIM and LC that was developed in a case study.The proposed method provides a framework for all stakeholders to use BIM and LC in a megaproject dominated by the owner.The interactional relations among the owner,BIM,and LC were analyzed and positive interactions were identified.These positive interactions served as a basis for the implementation of this integrated approach in a case study and could be applied to other megaprojects.The megaproject(i.e.,airport construction project)was examined to verify the performance of the developed method.Results showed that the integration of BIM and LC dominated by the owner can improve management performance and achieve high quality standard.
  • 摘要：Cyber-physical systems(CPS)are intended to facilitate the tight coupling of the cyber and physical worlds.Their potential for enhancing the delivery and management of constructed facilities is now becoming understood.In these systems,it is vital to ensure bidirectional consistency between construction components and their digital replicas.This paper introduces the key features of CPS and describes why they are ideally suited for addressing a number of problems in the delivery of construction projects.It draws on examples of research prototypes developed using surveys,field experiments,and prototyping methodologies,to outline the key features and benefits of CPS for construction applications and the approach to their development.In addition,it outlines the lessons learned from developing various systems for the design,construction and management of constructed facilities,which include building component placement and tracking,temporary structures monitoring,and mobile crane safety.The paper concludes that the construction industry stands to reap numerous benefits from the adoption of CPS.It states that the future direction of CPS in construction will be driven by technological developments and the extent to which CPS is deployed in new application areas.
  • 摘要：Areas that are covered with natural vegetation have been converted into asphalt,concrete,or roofed structures and have increased surface impermeability and decreased natural drainage capability.Conventional drainage systems were built to mimic natural drainage patterns to prevent the occurrence of waterlogging in developed sites.These drainage systems consist of two major components:1)a stormwater conduit system,and 2)a runoff storage system.Runoff storage systems contain retention basins and drywells that are used to store and percolate runoff,whereas conduit systems are combination of catch basins and conduit pipes used to collect and transport runoff.The construction of these drainage systems is costly and may cause significant environmental disturbance.In this study,low impact development(LID)methods that consist of extensive green roofs(GRs)and permeable interlocking concrete pavements(PICPs)are applied in real-world construction projects.Construction project documents were reviewed,and related cost information was gathered through the accepted bidding proposals and interviews of specialty contractors in the metropolitan area of Phoenix,Arizona.Results indicate that the application of both LID methods to existing projects can save an average of 27.2%in life cycle costs(LCC)for a 50-year service life and 18.7%in LCC for a 25-year service life on the proposed drainage system,respectively.
  • 摘要：Cities are incorporating smart and green infrastructure components in their urban design policies,adapting existing and new infrastructure systems to integrate technological advances to mitigate extreme weather due to climate change.Research has illustrated that smart green infrastructure(SGI)provides not only climate change resilience but also many health and wellbeing benefits that improve the quality of life of citizens.With the growing demand for smart technology,a series of problems and challenges,including governance,privacy,and security,must be addressed.This paper explores the potential to transition from grey,green,or smart silos to work with nature-based solutions and smart technology to help change cities to achieve considerable environmental and socio-economic benefits.The concepts of grey,green,and smart infrastructure are presented,and the needs,benefits,and applications are investigated.Moreover,the advantages of using integrated smart,green nature-based solutions are discussed.A comprehensive literature review is undertaken with keyword searches,including journal papers,stakeholder and case study reports,and local authority action plans.The methodology adopts multimethod qualitative information review,including literature,case studies,expert interviews,and documentary analysis.Published data and information are analysed to capture the key concepts in implementing SGI systems,such as storm-water control,flood and coastal defense,urban waste management,transportation,recreation,and asset management.The paper investigates the elimination of silo approaches and the alleviation of the destructions caused by extreme weather events using these interdependent SGI systems supported by novel datadriven platforms to provide nature-based solutions to boost the health and wellbeing of the residents.
  • 摘要：Handoff processes during civil infrastructure operations are transitions between sequential tasks.Typical handoffs constantly involve cognitive and communication activities among operations personnel,as well as traveling activities.Large civil infrastructures,such as nuclear power plants(NPPs),provide critical services to modem cities but require regular or unexpected shutdowns(i.e.,outage)for maintenance.Handoffs during such an outage contain interwoven workflows and communication activities that pose challenges to the cognitive and communication skills of handoff participants and constantly result in delays.Traveling time and changing field conditions bring additional challenges to effective coordination among multiple groups of people.Historical NPP records studied in this research indicate that even meticulous planning that takes six months before each outage could hardly guarantee sufficient back-up plans for handling various unexpected events.Consequently,delays frequently occur in NPP outages and bring significant socioeconomic losses.A synthesis of previous studies on the delay analysis of accelerated maintenance schedules revealed the importance and challenges of handoff modeling.However,existing schedule representation methods could hardly represent the interwoven communication,cognitive,traveling,and working processes of multiple participants collaborating on completing scheduled tasks.Moreover,the lack of formal models that capture how cognitive,waiting,traveling,and communication issues affect outage workflows force managers to rely on personal experiences in diagnosing delays and coordinating multiple teams involved in outages.This study aims to establish formal models through agent-based simulation to support the analytical assessment of outage schedules with full consideration of cognitive and communication factors involved in handoffs within the NPP outage workflows.Simulation results indicate that the proposed handoff modeling can help predict the impact of cognitive and communication issues on delays propagating throughout outage schedules.Moreover,various activities are flilly considered,including traveling between workspaces and waiting.Such delay prediction capability paves the path toward predictive and resilience outage control of NPPs.
  • 摘要：Strong aftershocks generally occur following a significant earthquake.Aftershocks further damage buildings weakened by mainshocks.Thus,the accurate and efficient prediction of aftershock-induced damage to buildings on a regional scale is crucial for decision making for post-earthquake rescue and emergency response.A framework to predict regional seismic damage of buildings under a mainshock-aftershock(MS-AS)sequence is proposed in this study based on city-scale nonlinear time-history analysis(THA).Specifically,an MS-AS sequence-generation method is proposed to generate a potential MS-AS sequence that can account for the amplification,spectrum,duration,magnitude,and site condition of a target area.Moreover,city-scale nonlinear THA is adopted to predict building seismic damage subjected to MS-AS sequences.The accuracy and reliability of city-scale nonlinear THA for an MS-AS sequence are validated by as-recorded seismic responses of buildings and simulation results in published literature.The town of Longtoushan,which was damaged during the Ludian earthquake,is used as a case study to illustrate the detailed procedure and advantages of the proposed framework.The primary conclusions are as follows.(1)Regional seismic damage of buildings under an MS-AS sequence can be predicted reasonably and accurately by city-scale nonlinear THA.(2)An MS-AS sequence can be generated reasonably by the proposed MS-AS sequencegeneration method.(3)Regional seismic damage of buildings under different MS-AS scenarios can be provided efficiently by the proposed framework,which in turn can provide a useful reference for earthquake emergency response and scientific decision making for earthquake disaster relief.
  • 摘要：Industrial intelligence is a core technology in the upgrading of the production processes and management modes of traditional industries.Motivated by the major development strategies and needs of industrial intellectualization in China,this study presents an innovative fusion structure that encompasses the theoretical foundation and technological innovation of data analytics and optimization,as well as their application to smart industrial engineering.First,this study describes a general methodology for the fusion of data analytics and optimization.Then,it identifies some data analytics and system optimization technologies to handle key issues in smart manufacturing.Finally,it provides a four-level framework for smart industry based on the theoretical and technological research on the fusion of data analytics and optimization.The framework uses data analytics to perceive and analyze industrial production and logistics processes.It also demonstrates the intelligent capability of planning,scheduling,operation optimization,and optimal control.Data analytics and system optimization technologies are employed in the four-level framework to overcome some critical issues commonly faced by manufacturing,resources and materials,energy,and logistics systems,such as high energy consumption,high costs,low energy efficiency,low resource utilization,and serious environmental pollution.The fusion of data analytics and optimization allows enterprises to enhance the prediction and control of unknown areas and discover hidden knowledge to improve decision-making efficiency。Therefore,industrial intelligence has great importance in China’s industrial upgrading and transformation into a true industrial power.
  • 摘要：The construction industry is facing a gradual but important transformation toward more productivity and collaboration.In this framework,two major approaches are often cited in the literature as having the potential to improve the practices in the industry:Building Information Modeling(BIM)and Lean Construction.Several scientific studies have demonstrated the synergy of these two approaches and very recent research has reported positive results from the use of software applications as support for their implementation on construction sites.However,the stakes of such integration have been very little studied.This article presents the results of a research project conducted within a general contractor firm that decided to implement BIM and Last Planner System(LPS)on its construction sites.The research uses a four-stage action research approach,including the characterization of the research issue,the establishment of an action plan,its implementation and its evaluation.Compared to recent related studies,the research is less enthusiastic.While it highlights the need for new tools to improve production planning and control,it also points to a strong resistance to change by practitioners at the site.They emphasize the necessity for adequate pre-service training and the need for new resources that can work flill-time on the ongoing training of site teams.In addition,some limitations of the tool lead workers to believe that it can quickly become a factor that slows down their daily work rather than improving it.Based on the advice of professionals,the paper formulates some recommendations to the industry,the researchers and the software developers.
  • 摘要：Energy development concerns not only the development of renewable energies but also the shift from centralised to clean,decentralised power generation.The development of decentralised energy(DE)is a core part of the energy and economic strategies being adopted around the world that drives the progress toward a highly sustainable future.This paper reviews the concepts,development status,trends,benefits and challenges of DE systems and analyses the existing models and methods for assessing the performance of these systems.A hierarchical decision model for evaluating the performance of DE systems is also constructed based on the framework of multiple criteria decision analysis,which considers the identification,definition and assessment grade of decision criteria.The evidential reasoning approach is applied to aggregate assessment information in a case study of the implementation of an intelligent decision system.Sensitivity and trade-off analyses are also conducted to show how the proposed model can be used to support decision making in DE systems.
  • 摘要：The field of engineering management usually involves evaluation issues,such as program selection,team performance evaluation,technology selection,and supplier evaluation.The traditional self-evaluation data envelopment analysis(DEA)method usually exaggerates the effects of several inputs or outputs of the evaluated decision-making unit(DMU),resulting in unrealistic results.To address this problem,scholars have proposed the cross-efficiency evaluation(CREE)method.Compared with the DEA method,CREE can rank DMUs more completely by using reasonable weights.With the extensive application of this technique,several problems,such as non-unique weights and non-Pareto optimal results,have arisen in CREE methods.Therefore,the improvement of CREE has attracted the attention of many scholars.This paper reviews the theory and applications of CREE,including the non-uniqueness problem,the aggregation of cross-efficiency data,and applications in engineering management.It also discusses the directions for future research on CREE.
  • 摘要：The low carbon energy transition has attracted worldwide attention to mitigate climate change.Renewable energy(RE)is the key to this transition,with significant developments to date,especially in China.This study systematically reviews the literature on RE development to identify a general context from many studies.The goal is to clarify key questions related to RE development from the current academic community.We first identify the forces driving RE development.Thereafter,we analyze methods for modeling RE developments considering the systematic and multiple complexity characteristics of RE.The study concludes with insights into the target selection and RE development roadmap in China.
  • 摘要：Servitization of manufacturing has become one of the main pathways for transition and upgrade in the manufacturing industry.New information and communication technologies(ICTs),such as the Internet of Things,Big Data,and Cloud Computing have enabled the servitization of manufacturing in terms of value creation,resource management,and supply chain management.This study presents a comprehensive review on the servitization in operations management in the era of new ICTs.A new value chain framework is proposed under the business model that revolves around servitization,which showcases the new activities and ways of implementation in the era of new ICTs.The virtualization,configuration,and evaluation of integrated manufacturing and service resources are analyzed.In particular,the methods used in new ICT-supported resource management platforms are surveyed.Problems in the supply chain management in manufacturing services(including the selection of partners,as well as the coordination,planning,and scheduling among members)are presented.This study concludes with a discussion on state-of-the-art servitization in operations management in the era of new ICTs.
  • 摘要：This multiple case study of a contracting firm contributes to understanding the barriers that organizations face during the implementation of building information modeling(BIM)by providing insights into the impact of these barriers across different organizational levels(i.e.,from top management to project teams)and by relating these barriers to different degrees of BIM maturity.First,we observe the dominance of barriers related to the motivation,competence,and time capacity of people across all levels of an organization.Second,the cluster of barriers at the middle-management level highlights the important role of this level in reducing these barriers.Third,only those cases with a low level of BIM maturity have struggled with lack of top management support,thereby highlighting the importance of such support in achieving BIM maturity growth.High BIM maturity situations are more prone to externally oriented barriers in attempting to further leverage the benefits of BIM.Our study provides insights on where to focus BIM implementation measures and how to enhance organizational BIM maturity.
  • 摘要：Mega projects require large funding,which often reaches tens or even hundreds of billions of yuan.In the state-oriented financing system,the huge fund gap has generally become an important factor restricting the development of mega projects worldwide.Since the 1980s,China’s long-span bridge projects have developed rapidly as typical mega projects as their financing systems have also undergone a series of changes and shown a high adaptability to complexity.However,the existing literature based on the perspective of evolution lacks focus on the complexity of mega project financing systems and its causes.Therefore,the complexity of the financing methods employed in the financing systems for China’s long-span bridges is analyzed in this work from the dimensions of time and regions through investigation and interviews.On the basis of the results and complex adaptive systems theory,the causes of the complexity are further explored in terms of the clustering effects of financing subjects and the deep uncertainty of financing environments.Then,the evolution rules of financing systems of mega projects are established from the aspect of financing subjects,financing environments,and financing methods.The research results can enrich decision-makers’understanding of the essential attributes and formation mechanism of the financing systems of mega projects and provide powerful support for decision-making in financing.
  • 摘要：Distributed photovoltaic(PV)systems have constantly been the key to achieve a low-carbon economy in China.However,the development of Chinese distributed PV systems has failed to meet expectations because of their irrational profit and cost allocations.In this study,the methodology for calculating the levelized cost of energy(LCOE)for PV is thoroughly discussed to address this issue.A mixed-integer linear programming model is built to determine the optimal system operation strategy with a benefit analysis.An externality-corrected mathematical model based on Shapley value is established to allocate the cost of distributed PV systems in 15 Chinese cities between the government,utility grid and residents.Results show that(i)an inverse relationship exists between the LCOEs and solar radiation levels;(ii)the government and residents gain extra benefits from the utility grid through net metering policies,and the utility grid should be the highly subsidized participant;(iii)the percentage of cost assigned to the utility grid and government should increase with the expansion of battery bank to weaken the impact of demand response on increasing theoretical subsidies;and(iv)apart from the LCOE,the local residential electricity prices remarkably impact the subsidy calculation results.
  • 摘要：How latecomers from emerging countries catch up on technological innovation is an important topic for industrial practitioners,policymakers,and academic researchers.This study systematically reviews 37 empirical studies on the precursors of industry catch-up in emerging countries.A general framework on what makes a successful catch-up in latecomer industries is suggested based on literature review.The framework comprises six generic determinants,including technological capability,business ecosystem,government roles,market condition,technological regime,and windows of opportunity.In addition,this framework is applied to the Chinese LED industry,and a case analysis of the catch-up is performed in Chinese LED firms.
  • 摘要：International shipping accounts for around 2.2%of global carbon dioxide(C0_(2))emissions(Smith et al.,2014).Emissions from international shipping are expected to increase by 50%-250%by 2050,mainly due to the growth of the world maritime trade(Smith et al.,2014).However,efforts to control C0_(2)emissions from the global shipping industry are absent from the Kyoto Protocol and Paris Agreement.Therefore,the International Maritime Organization(IMO)has released an ambitious strategy to cut the total annual greenhouse gas emissions of shipping by at least 50%by 2050,compared with 2008(IMO,2018).
  • 摘要：The BeiDou Navigation Satellite System(hereinafter referred to as BDS)has been independently developed and operated by China with an eye on the needs of the country’s national security as well as economic and social development.As a temporal-spatial infrastructure of national significance,the BDS provides all-time,all-weather and high-accuracy positioning,navigation and timing services to global users.
  • 摘要：1 Project overview As a result of 60 years of independent innovation of China’s nuclear industry,Hualong One nuclear reactor(hereafter referred to as HPR1000,see Fig.1)is developed based on 30 years of experience in nuclear power research,design,manufacturing,construction and operation with the world’s advanced nuclear power concept and feedback from previous nuclear accidents.With more than 100 scientific research projects completed,HPR1000 has finally become a success as a 1000 MW Gen III nuclear power technology with completely independent intellectual property rights.It has met or exceeded requirements of international Gen III nuclear power users in terms of safety,economy and performance indicators,making China jump into the ranks of advanced countries of nuclear power technology.
  • 摘要：Design review(DR)is a product development(PD)activity used to inspect the technical characteristics of a design solution.Immersive virtual reality(IVR)technology enables the presentation of spatial information and interaction with 3D CAD models inside an immersive virtual environment(IVE).Such capabilities have shown the potential to mitigate the cognitive load needed for the visual perception of spatial information and,consequently,enhance design understanding and DR performance.Thus,an increasing number of studies have explored the effect of IVR technology on DR activities in different domains.However,determining when the implementation of IVR technology rather than a conventional user interface for DRs in mechanical engineering PD projects will be beneficial remains unclear.Hence,a conceptual DR experimental study was conducted to investigate the differences in the ability of engineering students to identify mechanisms and understand their functions when a design solution for a technical system is presented in an IVE by IVR technology and in a non-immersive virtual environment(nIVE)by a conventional user interface(monitor display,keyboard,and mouse).Data were collected by performing DR tasks and having participants complete a prior experience questionnaire,presence questionnaire,and mental rotations test.Findings of the study indicate that IVR does not support an enhanced ability of engineering students to identify mechanisms and understand their functions compared with a conventional user interface.
  • 摘要：As part of general construction management,production planning and control is vital for successful project delivery.Numerous approaches supporting production planning and control exist in practice and research.However,the different approaches focus on distinct areas such as workflow stabilization or cost control,and no single system combines all the requirements of a holistic production management system.Varying production management systems can be explained by the unique characteristics of many construction projects.As an approach for the digital twinning in the construction industry,building information modeling(BIM)can help standardize production management through shifting the management system design toward the digital prototype.Previous scientific work has acknowledged this approach,thereby generating numerous concepts for using building information models within construction management approaches.However,BIM is often merely used as a parallel support rather than as an integral part of production management systems.To address this gap and in terms of research methodology,we follow a Design Science Research approach.Thus,we propose a new BIM-based production management system,which is characterized by a theoretical integration model for BIM and existing construction management techniques,and a methodology for applying these concepts in practice.
  • 摘要：Performance measurement(PM)generates useful data for process control,facilitates communication between different sectors,and helps to align efforts on the most important aspects of the business.Thus,PM plays a key role in the management of projects and organizations.PM is also important in the implementation of lean production principles and methods,such as reducing the share of nonvalue-adding activities,increasing process transparency,building continuous improvement into the process,and benchmarking.Moreover,the adoption of the lean production philosophy requires changes in PM.Despite its importance,limited studies have been conducted on the use of PM systems for assessing the impact of lean production programs in construction projects.In addition,studies on how lean companies(or projects)use performance measurement and to what extent the indicators adopted reflect the result of actions that have been undertaken are limited.This study proposes a set of requirements in PM systems of construction projects from the perspective of lean production and a taxonomy of performance metrics for lean production systems.Five empirical studies have been carried out on construction companies from South America involved in the implementation of lean production systems.The scope of this investigation is limited to the construction projects as production systems rather than PM at the level of construction organizations.
  • 摘要：Liquid Air Energy Storage(LAES)is at pilot scale.Air cooling and liquefaction stores energy;reheating revaporises the air at pressure,powering a turbine or engine(Ameel et al.,2013).Liquefaction requires water&CO2 removal,preventing ice fouling.This paper proposes subsequent geological storage of this CO2–offering a novel Carbon Dioxide Removal(CDR)by-product,for the energy storage industry.It additionally assesses the scale constraint and economic opportunity offered by implementing this CDR approach.Similarly,established Compressed Air Energy Storage(CAES)uses air compression and subsequent expansion.CAES could also add CO2 scrubbing and subsequent storage,at extra cost.CAES stores fewer joules per kilogram of air than LAES–potentially scrubbing more CO2 per joule stored.Operational LAES/CAES technologies cannot offer full-scale CDR this century(Stocker et al.,2014),yet they could offer around 4%of projected CO2 disposals for LAES and<25%for current-technology CAES.LAES CDR could reach trillion-dollar scale this century(20 billion USD/year,to first order).A larger,less certain commercial CDR opportunity exists for modified conventional CAES,due to additional equipment requirements.CDR may be commercially critical for LAES/CAES usage growth,and the necessary infrastructure may influence plant scaling and placement.A suggested design for low-pressure CAES theoretically offers global-scale CDR potential within a century(ignoring siting constraints)–but this must be costed against competing CDR and energy storage technologies.
  • 摘要：1 Introduction Today’s world has become volatile,uncertain,complex,and ambiguous(VUCA).In such a world,supply chains not only are embedded in VUCA environments but also increasingly exhibit VUCA features.A widely recognized description of the characteristics of VUCA was developed by Bennett and Lemoine(2014),outlined in the following.Volatility:An event encountered by a supply chain is unexpected or unstable;however,information on such an event is available and its impact is generally predictable.Uncertainty:The cause and effect of an event encountered by a supply chain are known;however,other information about the event is unavailable.Complexity:Both the environment and the supply chain itself have many interconnected parts and variables;hence,connecting the cause and effect of an event is very difficult.Ambiguity:An event encountered by a supply chain is unexpected.
  • 摘要：For Authors As soon as an article is accepted for publication,authors will be requested to assign copyright of the article(or to grant exclusive publication and dissemination rights)to the publisher(respective the owner if other than Springer).This will ensure the widest possible protection and dissemination of information under copyright laws.More information about copyright regulations for this journal is available at www.springer.com/joumal/42524.
  • 摘要：In this paper,we briefly review the development of ranking and selection(R&S)in the past 70 years,especially the theoretical achievements and practical applications in the past 20 years.Different from the frequentist and Bayesian classifications adopted by Kim and Nelson(2006b)and Chick(2006)in their review articles,we categorize existing R&S procedures into fixed-precision and fixed-budget procedures,as in Hunter and Nelson(2017).We show that these two categories of procedures essentially differ in the underlying methodological formulations,i.e.,they are built on hypothesis testing and dynamic programming,respectively.In light of this variation,we review in detail some well-known procedures in the literature and show how they fit into these two formulations.In addition,we discuss the use of R&S procedures in solving various practical problems and propose what we think are the important research questions in the field.
  • 摘要：The global collaboration and integration of online and offline channels have brought new challenges to the logistics industry.Thus,smart logistics has become a promising solution for handling the increasing complexity and volume of logistics operations.Technologies,such as the Internet of Things,information communication technology,and artificial intelligence,enable more efficient functions into logistics operations.However,they also change the narrative of logistics management.Scholars in the areas of engineering,logistics,transportation,and management are attracted by this revolution.Operations management research on smart logistics mainly concerns the application of underlying technologies,business logic,operation framework,related management system,and optimization problems under specific scenarios.To explore these studies,the related literature has been systematically reviewed in this work.On the basis of the research gaps and the needs of industrial practices,future research directions in this field are also proposed.
  • 摘要：Partial least squares structural equation modeling(PLS-SEM)is a modern multivariate analysis technique with a demonstrated ability to estimate theoretically established cause-effect relationship models.This technique has been increasingly adopted in construction management research over the last two decades.Accordingly,a critical review of studies adopting PLS-SEM appears to be a timely and valuable endeavor.This paper offers a critical review of 139 articles that applied PLS-SEM from 2002 to 2019.Results show that the misuse of PLS-SEM can be avoided.Critical issues related to the application of PLS-SEM,research design,model development,and model evaluation are discussed in detail.This paper is the first to highlight the use and misuse of PLS-SEM in the construction management area and provides recommendations to facilitate the future application of PLS-SEM in this field.

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