Kaitlyn Gee, Suh In Kim, Haden Quinlan and A. John Hart
This study presents a framework to estimate throughput and cost of additive manufacturing (AM) as related to process parameters, material thermodynamic properties and machine…
Abstract
Purpose
This study presents a framework to estimate throughput and cost of additive manufacturing (AM) as related to process parameters, material thermodynamic properties and machine specifications. Taking a 3D model of the part design as input, the model uses a parametrization of the rate-limiting physics of the AM build process – herein focusing on laser powder bed fusion (LPBF) and scaling of LPBF melt pool geometry – to estimate part- and material-specific build time. From this estimate, per-part cost is calculated using a quantity-dependent activity-based production model.
Design/methodology/approach
Analysis tools that assess how design variables and process parameters influence production cost increase our understanding of the economics of AM, thereby supporting its practical adoption. To this aim, our framework produces a representative scaling among process parameters, build rate and production cost.
Findings
For exemplary alloys and LPBF system specifications, predictions reveal the underlying tradeoff between production cost and machine capability, and look beyond the capability of currently commercially available equipment. As a proxy for build quality, the number of times each point in the build is re-melted is derived analytically as a function of process parameters, showcasing the tradeoff between print quality due to increased melting cycles, and throughput.
Originality/value
Typical cost models for AM only assess single operating points and are not coupled to models of the representative rate-limiting process physics. The present analysis of LPBF elucidates this important coupling, revealing tradeoffs between equipment capability and production cost, and looking beyond the limits of current commercially available equipment.
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Stan Aungst, Russell R. Barton and David T. Wilson
Quality Function Deployment (QFD) proposes to take into account the “voice of the customer,” through a list of customer needs, which are (qualitatively) mapped to technical…
Abstract
Quality Function Deployment (QFD) proposes to take into account the “voice of the customer,” through a list of customer needs, which are (qualitatively) mapped to technical requirements in House One. But customers do not perceive products in this space, nor do they not make purchase decisions in this space. Marketing specialists use statistical models to map between a simpler space of customer perceptions and the long and detailed list of needs. For automobiles, for example, the main axes in perceptual space might be categories such as luxury, performance, sport, and utility. A product’s position on these few axes determines the detailed customer requirements consistent with the automobiles’ position such as interior volume, gauges and accessories, seating type, fuel economy, door height, horsepower, interior noise level, seating capacity, paint colors, trim, and so forth. Statistical models such as factor analysis and principal components analysis are used to describe the mapping between these spaces, which we call House Zero.
This paper focus on House One. Two important steps of the product development process using House One are: (1) setting technical targets; (2) identifying the inherent tradeoffs in a design including a position of merit. Utility functions are used to determine feature preferences for a product. Conjoint analysis is used to capture the product preference and potential market share. Linear interpolation and the slope point formula are used to determine other points of customer needs. This research draws from the formal mapping concepts developed by Nam Suh and the qualitative maps of quality function deployment, to present unified information and mapping paradigm for concurrent product/process design. This approach is the virtual integrated design method that is tested upon data from a business design problem.
Jee Young Suh and Yong Jin Kim
The electronics industry is a key industry in South Korea. To improve efficiency and maintain a competitive edge in fast-paced technological age it is critical to synchronize…
Abstract
The electronics industry is a key industry in South Korea. To improve efficiency and maintain a competitive edge in fast-paced technological age it is critical to synchronize production supply with market demand. This paper focuses on the strategies which make the “just in time” production system within the electronic supply chain. The presented case study of Samsung Electronics Thin Film Transistor-Liquid Crystal Display (TFT-LCD) Inbound Logistics provides a solid example of process integration in the areas of: packaging, transportation and information sharing. The problems faced by Samsung Electronics in the early 2000’s were a direct result of an imbalance between increased traffic/demand and existing production capacity. The most detrimental of these problems caused delays in supply, shortage of space in the hub center and the bottlenecking of supply transportation. This paper demonstrates how Samsung Electronics reexamined and systematically streamlined their existing processes and how they successfully integrated “lean thinking” strategies to all areas of TFT-LCD production. As a result of the integration of these strategies, Samsung Electronics began using a line-to-line packing system which focused on packing items in a group using a standardized, returnable packing system. Additionally, they opted to replace their paper invoice system for an improved transportation system through which a data could reflect flows of information and materials in real time. The integration of these strategies gave Samsung Electronics a new approach to TFT-LCD Inbound Logistics which allowed them to overcome their dilemmas and resulted in successful outcomes, decreased lead times, higher quality products and an reduction in total costs.
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To explore the politics of gender, health, medicine, and citizenship in high-income countries, medical sociologists have focused primarily on the practice of legal abortion. In…
Abstract
To explore the politics of gender, health, medicine, and citizenship in high-income countries, medical sociologists have focused primarily on the practice of legal abortion. In middle- and low-income countries with restrictive abortion laws, however, medical sociologists must examine what happens when women have already experienced spontaneous or induced abortion. Post-abortion care (PAC), a global reproductive health intervention that treats complications of abortion and has been implemented in nearly 50 countries worldwide, offers important theoretical insights into transnational politics of abortion and reproduction in countries with restrictive abortion laws. In this chapter, I draw on my ethnography of Senegal’s PAC program to examine the professional, clinical, and technological politics and practices of obstetric care for abortions that have already occurred. I use the sociological concepts of professional boundary work and boundary objects to demonstrate how Senegalese health professionals have established the political and clinical legitimacy of PAC. I demonstrate the professional precariousness of practicing PAC for physicians, midwives, and nurses. I show how the dual capacity of PAC technologies to terminate pregnancy and treat abortion complications has limited their circulation within the health system, thereby reducing quality of care. Given the contradictory and complex global landscape of twenty-first-century abortion governance, in which pharmaceutical forms of abortion such as Misoprostol are increasingly available in developing countries, and as abortion restrictions are increasingly enforced across the developed world, PAC offers important theoretical opportunities to advance medical sociology research on abortion politics and practices in the global North and South.
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Jeonghwan Jeon and Yongyoon Suh
Using the large database of patent, the purpose of this paper is to structure a technology convergence network using various patent network analysis for integrating different…
Abstract
Purpose
Using the large database of patent, the purpose of this paper is to structure a technology convergence network using various patent network analysis for integrating different results according to network characteristics.
Design/methodology/approach
The patent co-class analysis and the patent citation analysis are applied to discover core safety fields and technology, respectively. In specific, three types of network analysis, which are centrality analysis, association rule mining analysis and brokerage network analysis, are applied to measure the individual, synergy and group intensity.
Findings
The core safety fields derived from three types of network analysis used by different nature of data algorithms are compared with each other to understand distinctive meaning of cores of patent class such as medical safety, working safety and vehicle safety, differentiating network structure. Also, to be specific, the authors find the detailed technology contained in the core patent class using patent citation network analysis.
Practical implications
The results provide meaningful implications to various stakeholders in organization: safety management, safety engineering and safety policy. The multiple patent network enables safety manager to identify core safety convergence fields and safety engineers to develop new safety technology. Also, in the view of technology convergence, the strategy of safety policy can be expanded to collaboration and open innovation.
Originality/value
This is the initial study on applying various network analysis algorithms based on patent data (class and citation) for safety management. Through comparison among network analysis techniques, the different results are identified and the collective decision making on finding core of safety technology convergence is supported. The decision maker can obtain the various perspectives of tracing technology convergence.
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In the wake of the COVID-19 pandemic, the interest in the use of virtual reality (VR) for organizational collaboration has dramatically increased. However, empirical research on…
Abstract
Purpose
In the wake of the COVID-19 pandemic, the interest in the use of virtual reality (VR) for organizational collaboration has dramatically increased. However, empirical research on the optimal types of VR and avatar designs for effective collaboration remains limited. To address these gaps, this study investigates how VR types (immersive vs non-immersive) and avatar similarity (high vs low) impact collaboration performance, with a focus on the mediating roles of somatic, psychological and behavioral engagement.
Design/methodology/approach
Drawing on embodied cognition theory and grounded in user engagement theory, we developed a research model that delineates the factors influencing collaboration performance. This model was empirically tested with data collected from a laboratory experiment involving 195 participants, employing a 2 × 2 factorial design. The Engage VR was used for the experiment because it supports the same virtual environment for collaboration between immersive and non-immersive VR contexts. The data were analyzed at the team level (n = 65).
Findings
The results of this study reveal that both immersive VR and high avatar similarity significantly enhance collaboration performance by augmenting somatic engagement, which subsequently boosts psychological and behavioral engagement.
Originality/value
This research deepens the scholarly understanding of the intricate interplay among VR types, avatar design and user engagement. The study’s theoretical implications underscore the conceptualization of somatic engagement as a critical dimension of user engagement in virtual collaboration, enriching the extant literature on VR-based collaboration. It also provides pragmatic insights to enhance virtual collaboration in the workplace.
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Soon-Ho Kim, Min-Seong Kim and Dong Hun Lee
Coffee shops are becoming more aware that brand loyalty can be an effective strategy for securing a competitive edge in business. To supplement current understanding of the…
Abstract
Coffee shops are becoming more aware that brand loyalty can be an effective strategy for securing a competitive edge in business. To supplement current understanding of the importance of coffee shop branding, this study investigates the role of personality traits and congruity in the formation of brand loyalty. This study finds that personality traits have direct effects on congruity and customer satisfaction, the two defining factors of brand loyalty. Overall, our results suggest that the interaction of personality traits, congruity, and satisfaction is essential to the process of influencing coffee shop customers’ brand loyalty.
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Sunduck Suh, Wonho Suh and Jung In Kim
The purpose of this study is to model risks in financial analysis. These risks associated with uncertainties in the projects should be properly addressed to ensure proper decision…
Abstract
Purpose
The purpose of this study is to model risks in financial analysis. These risks associated with uncertainties in the projects should be properly addressed to ensure proper decision regarding the projects. Performance indicators should be developed and assessing risks has high priority. All these activities comprise appraisal, and based on these, a proper course of action should be recommended.
Design/methodology/approach
To analyze the attractiveness of a project for foreign regional railroad investment or participation, the project should be analyzed in a systematic way. First, the project’s goals and objectives should be evaluated for compatibility. Also, criteria of acceptability for stakeholders should be checked against output from the project. Usually, a project can have many alternatives, and impacts of each alternative should be analyzed in terms of quantitative and qualitative forecasts of impacts. Benefits and costs need to be counted in proper units of measurement per goals and objectives.
Findings
This paper shows that risk modeling can reflect uncertainty in decision-making and provide robustness of modeling process and improved communication. Also, challenges are presented in using risk analysis.
Originality/value
To overcome the shortcomings of traditional mathematical optimization model in identifying best sets of projects for private application, the proposed model finds ways to incorporate risk management components for the optimization procedure. Based on simulation results, a brute force solution procedure using enumeration can be used. Another approach is recommended to use the genetic algorithm process to reduce the number of alternatives to search to reach an optimal solution.
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Ayoung Suh, Christy M.K. Cheung and Yongqian Lin
In light of the recent increase in the scholarly attention given to meaningful engagement with gamified information systems (IS), this research explores the definition and…
Abstract
Purpose
In light of the recent increase in the scholarly attention given to meaningful engagement with gamified information systems (IS), this research explores the definition and measurement of meaningful engagement as well as its role in predicting employees’ knowledge contributions via gamified knowledge management systems (KMSs).
Design/methodology/approach
The authors conducted two empirical studies. Study 1 develops a measure of meaningful engagement and evaluates its validity and reliability. Drawing on the literature on user engagement and work gamification theory, Study 2 places meaningful engagement in a nomological network and assesses the construct’s utility for predicting the quantity and quality of knowledge contributions via a gamified KMS.
Findings
The results show that meaningful engagement encompasses five specific dimensions: intense involvement, sense of meaning, self-discovery, pursuit of excellence, and personal expressiveness. The results also indicate that fostering meaningful engagement, which goes beyond hedonic and instrumental engagement, is essential to enhance the quality and quantity of knowledge contribution.
Research limitations/implications
This research contributes to the literature on gamification by drawing scholarly attention to meaningful engagement as a parsimonious yet powerful construct that complements the notions of hedonic and instrumental engagement with KMSs. Although previous studies have highlighted the significance of meaningful engagement with gamified IS, little effort has been made to develop a scale to measure meaningful engagement. The scale the authors have developed will help researchers precisely measure users’ meaningful engagement and systematically examine its role in gamified systems compared to that of other forms of engagement. The study also has practical implications, as the results can inform future design strategies to enable the successful implementation of gamified KMSs that facilitate knowledge contribution in the workplace.
Originality/value
The development of new constructs is the starting point for theoretical development. This research responds to the call to conceptualize meaningful engagement with gamified IS.
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This study identifies factors that affect customers' satisfaction with restaurant service and their intention to return to the restaurant. It also compares the significant service…
Abstract
This study identifies factors that affect customers' satisfaction with restaurant service and their intention to return to the restaurant. It also compares the significant service factors influencing customers' satisfaction and intention to return before and after the COVID-19 pandemic. Customers' dining experiences are measured with the sequential critical incident (SCI) method, which records customers' direct feedback after visiting a local restaurant. In this method, customers report critical incidents they have encountered and rate their overall satisfaction with their dining experience and their intention to return. The results show that before the COVID-19 pandemic, front-line employees' service quality had more influence on customers' satisfaction and return intention. After the pandemic, however, customers have been less influenced by employees' service provisions, such as order and waiting time. Instead, they must consider other attributes such as meals and extra services.