FaGuang Jiang, Kebing Chen, Yang Chen and Cheng Tian
In response to the challenges posed by the conventional manual flange docking method in the LNG (Liquefied Natural Gas) loading process, such as low positioning accuracy…
Abstract
Purpose
In response to the challenges posed by the conventional manual flange docking method in the LNG (Liquefied Natural Gas) loading process, such as low positioning accuracy, constraints on production efficiency and safety hazards, this study analyzed the LNG five-axis loading arm’s main functions and structural characteristics.
Design/methodology/approach
An automated solution for the joints of the LNG loading arm was designed. The forward kinematic model of the LNG loading arm was established using the Denavit–Hartenberg (D-H) parameter method, and its workspace was analyzed. The Newton–Raphson iteration method was employed to solve the inverse kinematics of the LNG loading arm, facilitating trajectory planning. The relationship between the target position and the joint variables was established to verify the stability of the arm’s motion. Flange center identification was achieved using the Hough transform function. Based on the ROS platform, combined with Gazebo and Rviz, an experimental simulation of automatic docking of the LNG loading arm was conducted.
Findings
The docking errors in the XYZ directions were all less than 0.8 mm, meeting the required docking accuracy. Moreover, the motion performance of the loading arm during docking was smooth and free of abrupt changes, validating its capability to accomplish the automatic docking task.
Originality/value
The proposed trajectory planning and automatic docking scheme can be used for the rapid filling of LNG filling arms and LNG tankers to improve the efficiency of LNG transportation. In guiding the docking, the proposed automatic docking scheme is an accurate and efficient way to improve safety.
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Ting Tang, Haiyan Xu, Kebing Chen and Zhichao Zhang
The purpose of the study is to investigate the financing channels and carbon emission abatement preferences of supply chain members, and further examine the optimal contract…
Abstract
Purpose
The purpose of the study is to investigate the financing channels and carbon emission abatement preferences of supply chain members, and further examine the optimal contract design of the retailer.
Design/methodology/approach
This paper develops a low-carbon supply chain composed of one retailer and one manufacturer, in which the retailer provides trade credit to the manufacturer. Considering the cap-and-trade regulation, the manufacturer with uncertain yield makes decision on whether to invest in emission abatement. There are bank loan and trade credit to finance production for the manufacturer and green credit to finance emission abatement investment. Meanwhile, the retailer may provide the manufacturer with three kinds of contracts to improve emission abatement efficiency, namely, revenue sharing, cost sharing or both sharing.
Findings
The results show that the retailer prefers to offer financing service at lower interest rate, but trade (and green) credit financing is always optimal for manufacturer and supply chain. The investment in emission abatement is value-added to all players. The sharing contracts offered by the retailer at lower sharing ratios can realize Pareto improvement of the system regardless of the financing scheme. However, comparing with the revenue or cost sharing contract, the existence of optimal sharing ratios makes the both sharing contract more favorable to the retailer.
Practical implications
The findings provide guidance for the emission-dependent manufacturer in financing and emission abatement decisions, as well as recommendations for the retailer to offer loan service and sharing contract.
Originality/value
This paper integrates green credit into bank loan or trade credit to analyze the financing decision of the manufacturer with uncertain yield and further considers the influence of three kinds of sharing contracts introduced by the retailer on improving operational performance.
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Kebing Chen, Qi Wang and Shengbin Wang
The paper aims to explore how the participants in the closed-loop supply chain (CLSC) select collecting strategies under the scenarios of information symmetry and asymmetry, and…
Abstract
Purpose
The paper aims to explore how the participants in the closed-loop supply chain (CLSC) select collecting strategies under the scenarios of information symmetry and asymmetry, and to investigate the value of corporate social responsibility (CSR) cost information for participants.
Design/methodology/approach
This paper constructs a two-echelon CLSC Stackelberg game consisting of one manufacturer and one retailer, where the manufacturer undertakes CSR and is responsible for the remanufacturing of used products. First, the authors establish two collecting models under information symmetry: manufacturer-collecting and retailer-collecting. Second, the authors construct two collecting models under information asymmetry and propose a two-part tariff contract to coordinate the participants’ profits. Finally, the authors make a numerical analysis to verify the results.
Findings
Under information symmetry, the profit of the participant who does not undertake collecting is positively related to the collecting rate, and the other participant may not benefit from the increase in the collecting rate. Under information asymmetry, the manufacturer will still select the retailer-collecting channel. Asymmetric information only affects the retailer’s selection. In addition, the manufacturer’s private CSR cost information is always valuable to the retailer.
Originality/value
This paper first explores the influence of the CSR cost information value on the selection of collecting channel under information asymmetry in the CLSC. The results can help company managers choose optimal collecting channel under information symmetry or under information asymmetry.
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Augustine Senanu Komla Kukah, Xiaohua Jin, Robert Osei-Kyei and Srinath Perera
This conceptual paper aims to develop a theoretical framework for carbon trading in the built environment through theories to expand current knowledge on components of carbon…
Abstract
Purpose
This conceptual paper aims to develop a theoretical framework for carbon trading in the built environment through theories to expand current knowledge on components of carbon trading systems.
Design/methodology/approach
This theoretical framework was developed and supported with existing theories and past empirical literature from built environment, economics and finance. Underlying theories used in the framework were selected due to their significance and applicability to carbon trading projects. Hypotheses set in the study summarise the propositions developed from the theories and past empirical literature.
Findings
The framework reveals four major components of carbon trading for the built environment. Six hypotheses were further proposed to unravel the resultant influence of their interactions on each component in the trading system.
Research limitations/implications
This paper sought to undertake a theoretical review of classical theories and past studies on carbon trading. Even though a systematic review was undertaken, the constructs in the theoretical framework may not be exhaustive.
Practical implications
This study contributes and advances the body of knowledge on the components that comprise the mechanism of how carbon trading operates in the built environment. Theoretically, the framework developed serves as a multi-dimensional guide on the operations of carbon trading in the built environment.
Originality/value
The theoretical framework developed endeavours to consolidate multi-faceted theories from varying disciplines on the components that comprise carbon trading in the built environment.
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Xueyan Zhang and Xiaohong Wang
Team learning is critical to interdisciplinary research teams (IDR teams) to use heterogeneous knowledge effectively. Nevertheless, team learning is rarely addressed in the IDR…
Abstract
Purpose
Team learning is critical to interdisciplinary research teams (IDR teams) to use heterogeneous knowledge effectively. Nevertheless, team learning is rarely addressed in the IDR team literature. Also, few studies investigate the antecedents and consequences of team learning in IDR teams, leading to a lack of guidance for management practices. This study aims to investigate how team learning can be developed and how team learning influences team outcomes in IDR teams.
Design/methodology/approach
A questionnaire survey on 304 members of 37 IDR teams in a research university in China is conducted. Data are analyzed using a partial least square structural equation modeling.
Findings
The results support most hypotheses in general. For the antecedent variables, task interdependence, trust and constructive conflict positively affect team learning. For the outcome variables, team learning improves shared mental models, coordination quality and team performance significantly. Additionally, task uncertainty positively moderates the team learning-coordination quality relation and team learning-team performance relation. However, this paper does not find support for the moderating role of task uncertainty on the team learning-shared mental models relation.
Originality/value
To the best of the knowledge, this is the first study investigating the antecedents and consequences of team learning in IDR teams. A multidimensional measurement of team learning for the IDR team context is developed. This study investigates how team behavioral factors influence team learning and the effect of team learning on shared mental models, coordination quality and team performance. This study also explores the contingency role of task uncertainty in the effects of team learning.
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Nuno Miguel de Matos Torre and Andrei Bonamigo
Maintenance represents an indispensable role in the productive sector of the steel industry. The increasing use of operating with a high level of precision makes hydraulic systems…
Abstract
Purpose
Maintenance represents an indispensable role in the productive sector of the steel industry. The increasing use of operating with a high level of precision makes hydraulic systems one of the issues that require a high level of attention. This study aims to explore an empirical investigation for decreasing the occurrences of corrective maintenance of hydraulic systems in the context of Lean 4.0.
Design/methodology/approach
The maintenance model is developed based on action-research methodology through an empirical investigation, with nine stages. This approach aims to build a scenario to analyze and interpret the occurrences, seeking to implement and evaluate the actions to be performed. The undertaken initiatives demonstrate that this approach can be applied to optimize the maintenance of an organization.
Findings
The main contribution of this paper is to demonstrate that the applied method allows the overviewing results, with a qualitative approach concerning the maintenance actions and management processes to be considered, allowing a holistic understanding and contributing to the current literature. The results also indicated that Lean 4.0 has direct and mediating effects on maintenance performance.
Originality/value
This research intends to propose an evaluation framework with an interdimensional linkage between action research methodology and Lean 4.0, to explore an empirical investigation and contributing to understanding the actions to reduce the occurrences of hydraulic systems corrective maintenance in a production line in the steel industry.
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Marthe Deschesnes, Nathalie Drouin, Caroline Tessier and Yves Couturier
The purpose of this paper is to understand how a Canadian intervention based on a professional development (PD) model did or did not influence schools’ capacities to absorb a…
Abstract
Purpose
The purpose of this paper is to understand how a Canadian intervention based on a professional development (PD) model did or did not influence schools’ capacities to absorb a Healthy School (HS) approach into their operations. This study is the second part of a research project: previously published results regarding this research provided a detailed description of the PD model and highlighted the relevance and effectiveness of PD in improving actors’ HS-related knowledge and practices. The present paper focuses on the organizational impact of such PD intervention.
Design/methodology/approach
The design was based on a realist evaluation approach, which helps to elicit a theory explaining how an intervention leads to particular outcomes. A multi-site case study of three schools with pre- (T 0) and post- (T 1) intervention comparison was adopted. Multiple qualitative methods were used to capture how the changes were achieved by collecting data from various stakeholders involved in the intervention.
Findings
The PD model tested reinforced the schools’ capacities to absorb this type of initiative. For one of the capacities examined, “exploitation”, i.e., the ability to incorporate and maintain the initiative into schools operation, the evidence was less apparent. In congruence with the realist evaluation, the results are rendered in the form of a contextualized intervention theory identifying the links between the PD and the mechanisms that were likely necessary to explain what led to the changes in “absorptive” capacities (which refers to the capabilities of schools to acquire and assimilate HS knowledge, and also to transform and exploit them, in the context).
Originality/value
The refined theory, based on empirical findings, can enable facilitators and practitioners to gain a deeper understanding of the action mechanisms shown to be determining in the success of HS implementation.
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Michelle Grace Tetteh-Caesar, Sumit Gupta, Konstantinos Salonitis and Sandeep Jagtap
The purpose of this systematic review is to critically analyze pharmaceutical industry case studies on the implementation of Lean 4.0 methodologies to synthesize key lessons…
Abstract
Purpose
The purpose of this systematic review is to critically analyze pharmaceutical industry case studies on the implementation of Lean 4.0 methodologies to synthesize key lessons, benefits and best practices. The goal is to inform decisions and guide investments in related technologies for enhancing quality, compliance, efficiency and responsiveness across production and supply chain processes.
Design/methodology/approach
The article utilized a systematic literature review (SLR) methodology following five phases: formulating research questions, locating relevant articles, selecting and evaluating articles, analyzing and synthesizing findings and reporting results. The SLR aimed to critically analyze pharmaceutical industry case studies on Lean 4.0 implementation to synthesize key lessons, benefits and best practices.
Findings
Key findings reveal recurrent efficiency gains, obstacles around legacy system integration and data governance as well as necessary operator training investments alongside technological upgrades. On average, quality assurance reliability improved by over 50%, while inventory waste declined by 57% based on quantified metrics across documented initiatives synthesizing robotics, sensors and analytics.
Research limitations/implications
As a comprehensive literature review, findings depend on available documented implementations within the search period rather than direct case evaluations. Reporting bias may also skew toward more successful accounts.
Practical implications
Synthesized implementation patterns, performance outcomes and concealed pitfalls provide pharmaceutical leaders with an evidence-based reference guide aiding adoption strategy development, resource planning and workforce transitioning crucial for Lean 4.0 assimilation.
Originality/value
This systematic assessment of pharmaceutical Lean 4.0 adoption offers an unprecedented perspective into the real-world issues, dependencies and modifications necessary for successful integration, absent from conceptual projections or isolated case studies alone until now.
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Christopher Belford, Delin Huang, Yosri Nasr Ahmed, Ebrima Ceesay and Lang Sanyang
Climate change and its imminent threat to human survival adversely impact the agriculture sector. In an impoverished country like The Gambia, economic costs of climate change are…
Abstract
Purpose
Climate change and its imminent threat to human survival adversely impact the agriculture sector. In an impoverished country like The Gambia, economic costs of climate change are colossal. This study aims to establish a computable general equilibrium (CGE) model for The Gambia’s agriculture sector to examine the effects of climate change on crops, livestock and sea-level rise.
Design/methodology/approach
This study used a CGE model with other climate change impact models to compute the impacts of climate change on The Gambia’s agriculture sector. The social accounting matrix calibrates the results from the various models, thereby generating the baseline results which exemplify a “steady-state” and policy shock results illustrating the medium- and long-term effects of climate change on the country’s agriculture sector.
Findings
The baseline results indicate the status quo showing the neglect of the agriculture sector due to limited investment in the sector. Hence, the sector is the “hardest hit” sector as a result of climate change. When the model factored in climate change in the medium term (2055) and long term (2085), the macroeconomic indicators of gross domestic product, national savings, wages, disposable income and consumer price index deteriorated, elucidating the vulnerability of the economy to climate change. The consumption of groundnuts, cattle and fish will decline by 5%, 5% and 4%, respectively, in the long term. However, the production of all agricultural commodities will decline by an average of 35% for the same period. The results for international trade show that exportation would decline while importation will increase over time. The general price level for agricultural commodities would increase by 3% in 2055 and 5% in 2085. Generally, the results manifest the severity of climate change in the agriculture sector which will have a multiplier effect on the economy. The impact of climate change would result in agriculture and economic decline causing hunger, poverty and human misery.
Originality/value
The caveat of this study revealed the nuances not captured by previous Gambian climate change studies, thus the novelty of the study.
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Sudhanshu Joshi, Manu Sharma, Shalini Bartwal, Tanuja Joshi and Mukesh Prasad
The study proposes to determine the impending challenges to lean integration with Industry 4.0 (I4.0) in manufacturing that aims at achieving desired operational performance…
Abstract
Purpose
The study proposes to determine the impending challenges to lean integration with Industry 4.0 (I4.0) in manufacturing that aims at achieving desired operational performance. Integrating lean and Industry 4.0 as the two industrial approaches is synergetic in providing operational benefits such as increasing flexibility, improving productivity, reducing cost, reducing delivery time, improving quality and value stream mapping (VSM). There is an urgent need to understand the integrated potential of OPEX strategies like lean manufacturing and also to determine the challenges for manufacturing SMEs and further suggest a strategic roadmap for the future.
Design/methodology/approach
The current work has used a combined approach on interpretative structural modeling (ISM) and fuzzy Matrice d'impacts croisés multiplication appliquée á un classment (MICMAC) approach to structure the multiple level analysis for the implementation challenges to integrate OPEX strategies with Industry 4.0.
Findings
The research has found that the indulgence of various implementation issues like lack of standardization, lack of vision and lack of trained support, all are the major challenges that inhibit the integration of OPEX strategies with I4.0 technologies in manufacturing.
Research limitations/implications
The research has investigated the internal factors acting as a roadblock to lean and Industry 4.0 adoption. Further studies may consider external factors to lean and Industry 4.0 implementation. Also, further research may consider other operational excellence approaches and extend further to relevant sectors.
Practical implications
This study provides the analysis of barriers that is useful for the managers to take strategic actions for implementing OPEX strategies with I4.0 in smart manufacturing.
Originality/value
The research determines the adoption challenges towards the integrated framework. This is the first study to explore challenges in integrating OPEX strategies with I4.0 technologies in manufacturing SMEs.