Smart product service system hierarchical model in banking industry under uncertainties

Tseng, Ming‐Lang; Bui, Tat-Dat; Lan, Shulin; Lim, Ming K.; Mashud, Abu Hashan Md

doi:10.1016/j.ijpe.2021.108244

Cited by 34 publications

(22 citation statements)

References 49 publications

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“…However, this is not a frequently occurring case. In addition, the effect of the environmentally friendly approaches or the impact of integrating smart manufacturing techniques on the final product costs has not been considered in this content and will be addressed at a later stage [35][36][37][38][39][40]. Last but not least, the framework has not taken into consideration the effect of carbon storage solutions, use of recycling materials or disposal costs.…”

Section: Discussionmentioning

confidence: 99%

A Framework for CO2 Emission Reduction in Manufacturing Industries: A Steel Industry Case

Stavropoulos

Panagiotopoulou

Papacharalampopoulos

et al. 2022

Designs

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Rising carbon emissions are linked to the increase in global temperature, because of increasing human activities and increasing greenhouse gas emissions. Since manufacturing is one of the most carbon intensive sectors, it is vital to suggest solutions that lead to carbon emission reduction in all sectors, among which is the steelmaking manufacturing sector. The present study focuses on presenting a framework for energy intensive industries introducing digitalization and energy efficient equipment in the production line. The current framework proposes different metrics, both from carbon emissions and cost viewpoints. A secondary steelmaking industry was used as a case study, showcasing the impact of digitalization and energy efficient equipment towards the reduction of carbon emissions. In addition, different metrics were calculated with energy efficient scenarios providing the lowest energy consumption metric, but their high purchasing costs make these scenarios less attractive. However, if carbon emission reduction per cost is the metric, a combination of digital tools and energy efficient equipment is the answer to the company’s needs. Applying the concepts of innovation absorption and digitalization, the number of alternatives is kept low, however, the impact on the line is quite large. The introduction of new technologies is also supported by training of the workforce, aligning the framework with current industrial trends.

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Section: Discussionmentioning

confidence: 99%

A Framework for CO2 Emission Reduction in Manufacturing Industries: A Steel Industry Case

Stavropoulos

Panagiotopoulou

Papacharalampopoulos

et al. 2022

Designs

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“…FDM was used to ensure that we only considered valid factors relevant to the aims of the current study. We then applied FDEMATEL to determine the relationships among the factors with a specific focus on causes and effects [5,18]. This method aids decision-makers in visualizing the relationships among various relevant factors of complex topics.…”

Section: Proposed Methodologymentioning

confidence: 99%

“…Hence, corporate sustainability performance (CSP) is important to transform how businesses operate in order to create value for multiple stakeholders [2][3][4]. However, the industry is facing increasing competition and pressures from economic, environmental, and social aspects [5][6][7]. A decision-making CSP framework needs to highlight the attributes to guide industry leaders and policy-makers for sustainable development.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Approach to Corporate Sustainability Performance in Indonesia’s Cement Industry

et al. 2021

Self Cite

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This study aimed to create a solid framework for decision-making in Indonesia’s cement industry, emphasizing those factors which bring about the most impactful results. The framework was developed using the fuzzy Delphi method, the fuzzy decision-making trial and evaluation laboratory, and a fuzzy Kano model. This study builds a hierarchical structure to approach the impact of corporate sustainability performance. We classify important factors into causes or effects and further identify those factors which are critical to improving the performance of Indonesia’s cement industry. Although corporate sustainability performance is a crucial topic in today’s business environment, sustainability strategies remain underrated in Indonesia. We confirm the validity of 19 factors within the following dimensions: environmental impact, social sustainability, economic gain, technological feasibility, and institutional compliance. The sub-dimensions of community interest, risk-taking ability, and regulatory compliance were identified as causes of perceived risks and benefits. In contrast, the following factors were identified as critical to improving corporate sustainability performance: renewable energy resources, contributions to charity, the perception of management regarding technology as a differentiator, and firm readiness to collaborate with high-tech companies.

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“…With the gradual maturity of analysis technologies such as the Internet of things (IoT) and big data, smart innovation management has become the mainstream for enterprises to pursue sustainable operations. Many scholars have engaged in research on service innovation management in the hope of seeking a more objective and more scientific service efficiency evaluation and management model [1][2][3][4][5][6]. As noted by Chen et al [7], owing to the improvement of customers' financial status, they have expressed more concern about the service quality and demanded more value-added services, including service attitude and administrative efficiency.…”

Section: Introductionmentioning

confidence: 99%

“…As noted above, the advantages of the novel service efficiency evaluation and management model include: (1) the method has a simple and easy-to-use point estimate which can be maintained, (2) this model can evaluate the performance of the multi-workstation service operation process as well as directly monitor whether the service operation efficiency of each workstation needs to be improved at the same time, (3) the risk of misjudgment caused by sampling errors can be reduced as well, (4) this model is helpful for the service industry to move towards the goal of intelligent innovation management, and (5) this method is not only applied to the performance evaluation of the multi-workstation service operation process but also applicable to the performance evaluations of other service operations.…”

Section: Introductionmentioning

confidence: 99%

Novel Service Efficiency Evaluation and Management Model

Lin

Chen

et al. 2021

Applied Sciences

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Numerous scholars have invested in the research of service innovation management, hoping to find a more objective and scientific service efficiency evaluation and management model so as to stride forward towards the goal of smart innovation management. In the service operating system, the multi-workstation service operation is one of the common service operation models. Some studies have pointed out: apart from a good service attitude, the service operation time of each workstation is a key factor which measures the performance of the workstation’s service operation. Therefore, this paper proposed a standardized concept with a service operation efficiency evaluation index. This index is not only convenient and easy-to-use, but it also has a one-to-one mathematical relationship with the performance achievement rate. Next, the radar evaluation chart was employed to evaluate the service efficiency of each workstation. First, according to the upper confidence limit and the required value of the index, the minimum value (MV) of the index estimator was derived and marked on each radar line; at the same time, all MVs were connected to form a control block. When the point estimate of the index does not fall into the control block of the radar chart, it represents that the service operation efficiency of the workstation has not reached the required level, so it needs to be improved. Because this model can directly compare the point estimate of the index with the MV, it can judge whether the service operation efficiency reaches the required level. In this way, the advantage of simple and easy-to-use point estimate can be maintained, and the risk of misjudgment caused by sampling errors can be reduced as well, which is helpful for the service industry to move towards the goal of intelligent innovation management. This method is not only applied to the performance evaluation of the multi-workstation service operation process but also applicable to the performance evaluations of other service operations.

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Smart product service system hierarchical model in banking industry under uncertainties

Cited by 34 publications

References 49 publications

A Framework for CO2 Emission Reduction in Manufacturing Industries: A Steel Industry Case

A Framework for CO2 Emission Reduction in Manufacturing Industries: A Steel Industry Case

Hybrid Approach to Corporate Sustainability Performance in Indonesia’s Cement Industry

Novel Service Efficiency Evaluation and Management Model

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