Critical success factors of supply chain integration in container shipping: an application of resource-based view theory

ABSTRACT

The container shipping industry is receiving growing attention in driving the performance of global supply chains. This phenomenon has accelerated supply chain integration (SCI) within the industry. Although SCI could offer numerous benefits, it is often quoted to be implemented easier in theory than in practice. The high failure rate that is associated with SCI is often not addressed in the literature. Grounded on resource-based view (RBV) theory, this paper is aimed at identifying the critical success factors (CSFs) and examining their influence on SCI and supply chain performance (SCP). Survey questionnaires were administered on 164 container shipping firms. The constructs were validated empirically using confirmatory factor analysis and were subsequently analysed using structural equation modelling. The proposed CSFs in this study are found to be positively corelated with SCI, which, in turn, is positively correlated with SCP. This paper has contributed to both theory and practice by applying RBV theory to identify the key resources and capabilities that are necessary for SCI in the container shipping industry.     

港口供应链物流能力最优关系契约模型

港口供应链需要大量专用性物流能力,但又普遍存在着专用性物流能力投资不足的问题。通过港口供应链模型,分析了非合作与集中决策条件下能力投资,设计了最优关系契约,有效解决了港口供应链中专用性物流能力投资不足的问题。     

A model for the evaluation of some shipping company decisions

This paper describes a model which may be used in the evaluation of the relative effectiveness of policies used in the areas of ship chartering and the switching of combined carriers between the dry-cargo market and the tanker market. The policies for chartering and market switiching are expressed in the form of 'desired proportions' of the fleet operating in a particular charter-mode or a particular market. Graphical illustration of this form of expression of policies can be easily understood, so that alternative policies can be designed with relative case. The effectiveness of a particular from of policy under various freight market conditions can be determined from the model, the use of which is illustrated by its application to the deployment of the fleet of an hypothetical shipping company. It is assumed that the feedback connection between the company's actions and the market-place is negligible.     

A reactive container rerouting model for container flow recovery in a hub-and-spoke liner shipping network

This paper focuses on the container rerouting due to a disruption, aims at making the optimal container flow recovery plan for the affected liner shipping company. First, we make the initial effort to bring up with a basic framework of disruption management for liner shipping. Second, we present a compact integer linear programming model for addressing the container rerouting problem under the proposed framework in a hub-and-spoke liner shipping network, based on a given recovery vessel schedule that determines to omit a port of call. Other shipping companies’ services and other modes (roadway, railway, and airline) as candidate alternative means to transport the miss-connected containers are also incorporated in the proposed model. The container flow recovery plan would select the optimal alternative paths for the miss-connected containers balancing the trade-off between container transport costs and delivery delay penalty costs. Finally, a case study from a global liner shipping company is investigated and the computational results indicate the model can be solved effectively and efficiently for the real-scale problem. Thus, the proposed approach in this paper can supply real-time decision support tool for the liner shipping operators on handling the process of container flow recovery.     

Implementing green supply chain practices: an empirical investigation in the shipbuilding industry

ABSTRACT

Environmental concerns have become important in the shipbuilding industry. Governmental expectations about environmental and social performance are much higher than in the past. Public authorities penalize companies that do not comply with the rules. Shipbuilding companies face these challenges by introducing new technologies into their business processes. They do not only start initiatives to green their own business processes but also those of their supply chain partners. This form of environmental management is called Green Supply Chain Management (GrSCM) and its importance is increasingly recognized. Although GrSCM is growing, companies are experiencing difficulties engaging suppliers in environmental activities.

This empirical study analyses drivers for supply chain participation of suppliers in the shipbuilding industry. We explain the participations of suppliers in GrSCM practice by investigating influencing factors including governmental involvement in greening the supply chain, customer requirements towards green issues, feeling of social responsibility, competitive advantage by going green, and GrSCM readiness. Hypotheses are tested with partial least squares, using survey data of 93 suppliers of two leading shipbuilding companies. We found GrSCM readiness, competitive advantage, and social responsibility to be significant drivers in supplier participation. No significant support was found for governmental involvement and customer requirements.     

基于知识供应链的高校知识转移效率研究

为了及时、迅速、经济和有效地将创新系统内不断涌现的科技新知识从其生产者和供给者一方转移至其需求者和应用者一方,以全国省、自治区、直辖市高校技术转让为研究对象,利用随机前沿生产函数考察了从2004～2006年的高校知识转移效率问题.进一步分析了影响高校知识转移效率的     

A citation network analysis of sustainability development in liner shipping management: a review of the literature and policy implications

ABSTRACT

Based on an analysis of 253 related papers drawn from the Web of Science database, this study examines holistic sustainability research in liner shipping management literature using a citation network analysis (CNA) approach followed by a qualitative analysis of findings. We identify four major research domains, namely shipping performance, port selection and management, shipping markets, and environment, as well as related sub-domains of shipping performance. We discuss the current research trends and focal issues in these domains with a focus on their implications for policy development. Our results indicate that while the sustainability discourse in the literature has developed and matured significantly over the last decade, generating valuable insights for practitioners and regulators alike, it still struggles with blurry terminology and a lack of holistic frameworks jointly addressing the different aspects of sustainability: Economic considerations of liner shipping are still the main concern, while environmental and social issues are less regarded in the academic discourse. Furthermore, we identify a dearth of studies rooted in managerial or economic theory. In this regard, our study provides insights on the scope of the holistic sustainability discourse in liner shipping management, its contributions to theory and practice, and its implications for the further development of policies addressing sustainability in liner shipping management. We advocate further construct development for sustainability in liner shipping, as well as empirical tests of the antecedents of sustainability practice adoption in the industry for future research.     

全球供应链视角的东亚港口物流服务绩效与趋势分析*

东亚港口基于旺盛的贸易运输需求而在全球供应链体系中崛起,同时也因为港口拥挤等问题而存在降低贸易成本的空间。首先从全球供应链视角解析港口物流服务格局,突出了东亚地区、特别是中国港口的地位,评价港口物流的综合绩效和竞争状态,然后对发展趋势做出预测。研究发现：东亚港口将通过持续投资实现供给需求的动态平衡;日本地震引致的全球供应链重组将使港口物流服务发生结构性变化,东亚将加强跨国港口物流合作以满足区域经济一体化的要求。     

LNG供应链设备设施关键性定量分析研究

LNG供应链设备设施关键性分析,目前多采用定性分析的方法,通过小组讨论或专家判断,具有结构化流程简单的特点,但筛选出的结果准确性不足,为了从本质上解决定性分析的局限性问题,从而提出了全定量分析方法,是从定量分析的角度对目标流程涵盖的设备设施进行关键性分析,并通过应用项目验证了可行性。     

三角模糊数与数据包络分析在舰艇编队防潜队形选择中的应用

针对舰艇编队防潜队形选择的主观性问题,探讨了三角模糊数与数据包络分析(DEA)理论在舰艇编队防潜队形选择中的应用.采用三角模糊综合评价模型对典型方案队形进行评价优选,同时将DEA分析理论应用于编队队形的优选问题研究,构建了合适的DEA模型,分析了典型方案队形的相对有效性.通过求解,得出了最佳防潜队形--菱形队形.     

PMV热舒适性模型在船舶舱室热环境评价中的应用

将热舒适性理论研究与实际船舶舱室环境的实验和调查相结合,探索将普通建筑热环境评价上应用较为广泛的PMV热舒适性模型扩展到船舶舱室的热环境评价中.通过对实船热环境的系统性测试和对实验对象——船员对热环境的主观评价的分析统计以及船员对船舶舱室内热环境的满意度调查,探讨了PMV热舒适性模型在船舶舱室热环境评价中的适用性,并给出了针对不同的活动状态下修正后的PMV*方程,该方程能体现大部分船员在微小环境内的热感觉以及客观评价热环境控制效果.     

表面噪声矢量场空间相关特性射线声学建模(英文)

Spatial correlation of sound pressure and particle velocity of the surface noise in horizontally stratified media was demonstrated,with directional noise sources uniformly distributed on the ocean surface.In the evaluation of particle velocity,plane wave approximation was applied to each incident ray.Due to the equivalence of the sound source correlation property and its directivity,solutions for the spatial correlation of the field were transformed into the integration of the coherent function generated by a single directional source.As a typical horizontally stratified media,surface noise in a perfect waveguide was investigated.Correlation coefficients given by normal mode and geometric models show satisfactory agreement.Also,the normalized covariance between sound pressure and the vertical component of particle velocity is proportional to acoustic absorption coefficient,while that of the surface noise in semi-infinitely homogeneous space is zero.     

A numerical transport model for predicting the distributions of Cd, Cu, Ni, Pb and Zn in the southern North Sea: the sensitivity of model results to the uncertainties in the magnitudes of metal inputs

A new transport model for metals (named NOSTRADAMUS) has been developed to predict concentrations and distributions of Cd, Cu, Ni, Pb and Zn in the southern North Sea. NOSTRADAMUS is comprised of components for water, inorganic and organic suspended particulate matter transport; a primary production module contributes to the latter component. Metal exchange between dissolved (water) and total suspended particulate matter (inorganic + organic) phases is driven by distribution coefficients. Transport is based on an existent 2-D vertically integrated model, incorporating a 35 × 35 km grid. NOSTRADAMUS is largely driven by data obtained during the Natural Environment Research Council North Sea Project (NERC NSP). The sensitivity of model predictions to uncertainties in the magnitudes of metal inputs has been tested. Results are reported for a winter period (January 1989) when plankton production was low. Simulated ranges in concentrations in regions influenced by the largest inflows, i.e. the NE English coast and the Southern Bight, are similar to the ranges in the errors of the concentrations estimated at the northern and southern open sea boundaries of the model. Inclusion of uncertainties with respect to atmospheric (up to ± 54%) and riverine (± 30%) inputs makes little difference to the calculated concentrations of both dissolved and particulate fractions within the southern North Sea. When all the errors associated with the inputs are included there is good agreement between computed and observed concentrations, and that for dissolved and particulate Cd, Cu and Zn, and dissolved Ni and Pb, many of the observations fall within, or are close to, the range of values generated by the model. For particulate Pb, model simulations predict concentrations of the right order, but do not reproduce the large scatter in actual concentrations, with simulated concentrations showing a bias towards lower values compared to those observed. A factor which could have contributed to observed concentrations, and which is not included in the model, is considered to be a substantial benthic input of dissolved lead during this winter period, coupled to a rapid and extensive scavenging of the dissolved lead to particles. Significant reductions in riverine and aeolian inputs of total Cd and Cu of 70% and 50%, respectively, consistent with aims of North Sea Conferences, are predicted to lead to minor decreases (~ 10%) in water column concentrations of dissolved and particulate Cd and Cu, except near river sources, where maximum reductions of ~ 30–40% may occur.