Design Management Research Articles

A Foundation for Real-time Applications onFunction-as-a-Service

Serverless (or Function-as-a-Service) compute model enables new applications with dynamic scaling. However, all current Serverless systems are best-effort, and as we prove this means they cannot guarantee hard real-time deadlines, rendering them unsuitable for such real-time applications. We analyze a proposed extension of the Serverless model that adds a guaranteed invocation rate to the serverless model called Real-time Serverless. This approach aims to meet real-time deadlines with dynamically allocated function invocations. We first prove that the Serverless model does not support real-time guarantees. Next, we analyze Real-time Serverless, showing it can guarantee application real-time deadlines for rate-monotonic real-time workloads. Further, we derive bounds on the required invocation rate to meet any set of workload runtimes and periods. Subsequently, we explore an application technique, pre-invocation, and show that it can reduce the required guaranteed invocation rate. We derive bounds for the feasible rate guarantee reduction, and corresponding overhead in wasted compute resources. Finally, we apply the theoretical results to improve the experience quality of a distributed virtual reality/ augmented reality application as well as simplify the application design and resource management.

Optimal plug‐in hybrid electric vehicle performance management using decentralized multichannel network design

AbstractIn addition to providing mobility, plug‐in hybrid electric vehicles (PHEVs) provide a two‐sided energy exchange opportunity which makes them highly flexible distributed energy storage systems for the future of energy systems. This paper analyzes PHEVs' performance from the perspective of urban traffic and energy using a decentralized multichannel blockchain network based on the hyperledger model. This network using a layered design and local management of energy sources can significantly contribute to urban management and optimal use of its infrastructures. Then, dynamic modelling of PHEVs in this network is performed, and their data is added to the network to evaluate the network performance compared with the current centralized networks. The results indicated that the proposed blockchain network could simultaneously optimize PHEVs' performance, urban traffic management, and energy systems. Furthermore, by utilizing smart contracts, it can consider and optimize multiple challenges, such as congestion in the electricity network, urban traffic, and limited fuel, simultaneously. Therefore, it gives a strong tool to study the impact of mass deployment of PHEVs and their value and role in the sustainable cities and communities of the future while helping to support the global efforts toward affordable and clean energy for all.

Design Processes: From the Historical Perspective to the Application in Startups Companies

This article addresses innovation, entrepreneurship and design management, aiming to investigate how it could contribute to the maintenance of the innovative character of startup companies. A brief survey was made on the importance of design in organizations. The timeline with the main developments from the 1950s to the present day, revealed that design has been strengthened as an entrepreneurial and strategic character. Subsequently, the Brazilian startup scenario was structured, analyzing the context in which they are inserted, as well as their management paradigms, which culminated in the search for information about design management and its role for the innovation of organizations. As a result, the theoretical studies allowed the elaboration of a model with five processes: Design for innovation strategies; Design for idea generation; Design for concept creation; Project to represent the company; and Design as an integrator.

Designence® 2.0: Strategic Design for a Responsible Future in Action

Design, design management and design thinking as drivers of innovation and as means to enhance organizational performance are only now, however slowly, being taken seriously by private sector service providers and manufacturing industries, the public sector, and third sector organizations.Like everything else, the field of design changes to keep pace with the world around us. Learn about a unique tool that facilitates an examination of an organization's vision and mission in relation to the powers of design.

A Design & Innovation‐Driven Growth Model For Micro, Small, And Medium Enterprises

For a developing economy like India's, the creative industries can help the economy flourish and grow.India's fast growing furniture industry is used to illustrate the link between strategy, design, and entrepreneurial thinking as a growth engine model—adding value to the design management process.

Physics-informed neural networks to advance pavement engineering and management

Physics-informed neural networks (PINN) are machine learning (ML) algorithms that can bridge the gap between our understanding of physical phenomena and the corresponding empirical observations. This paper discusses applications of physics-integrated ML to advance pavement engineering. To demonstrate an example, a PINN model was pretrained to approximate the simulation of vehicles’ suspension responses to longitudinal road profiles. The parameters of the outer layers were finetuned to adapt model output to the standard International Roughness Index (IRI), while keeping the pretrained inner layers to preserve the embedded physical knowledge of the suspension behaviour. The PINN model showed low bias and standard error in predicting IRI values on training, test, and an independent dataset from an autonomous vehicle study by the Ford Motor Company. This approach to reconcile and supplement infrequent survey data with spatiotemporally continuous data (from connected vehicles) can enhance data-driven practices for pavement design, maintenance and asset management.

Multi-objective optimization problem-solving based on evolutionary algorithms and chaotic systems

Dynamical systems that exhibit a high degree of sensitivity to the parameters of their initial states are referred to as chaotic. Natural selection and the process of evolution are the models that inspire a group of optimization algorithms collectively referred to as evolutionary algorithms (EA). EA is quite beneficial when handling difficult optimization difficulties, especially in situations where traditional procedures are either not practical or insufficient. The resolution of goal conflicts is accomplished through multi-objective optimization (MOO). The study proposed using chaotic systems and evolutionary algorithms to address the issue of multi-objective optimization.An initially chaotic time series of wind speed predictions was gathered from three locations in Penglai, China. The preprocessing of these data was carried out using Z-score normalization. We suggested using multi-objective particle swarm optimization (MOPSO) to gather information. Before the suggested design can be applied to the MOPSO of the chaotic system itself, it is required to evaluate the architecture of the proposed that will be utilized, the functioning of the chaotic systems, and the problems in the design of the system. Studies using currently available methods demonstrate that the proposed method outperforms all parameter measurements in terms of 15bits of throughput, active power loss 6.4812 MVA, 0.6495 voltages, 6.8% of RMSE, 0.8% of MAPE, and 0.1 sec of time. The finding of combining evolutionary algorithms with chaotic systems yields a powerful and effective framework for addressing multi-objective optimization problems, which bodes well for practical implementations in fields like building design, economics, and time management.

Leather Industry Waste Management for Architectural Design

The leather and footwear cluster in Tungurahua state has a main role in the country’s production chain, supplying 76% of the country’s tanned hides for the textile, footwear, and furniture industries, among others. The processes involved in leather tanning generate liquid, gaseous, and solid waste, the latter including the shavings from the leather trimming process, which, due to their composition and volume, are compressed and disposed of in sanitary landfills. Through Strategic Design and circular processes, as axes of change in production, new processes and strategies are established for the creation of products derived from the reuse of tannery waste; as a result, a decorative block is obtained for the design of architectural spaces with dimensions of 150 × 75 × 355 mm, 300 g in weight, and a compressive strength of 15.72 MPa. This is subjected to physicochemical tests for its validation.

Leveraging Industry 4.0 Technologies for Sustainable Humanitarian Supply Chains: Evidence from the Extant Literature

Prevailing and exacerbating impacts of climate change call for robust and resilient humanitarian supply chains (HSCs). To that end, intelligent technologies that brought about the Industry 4.0 (I4.0) revolution, such as the Internet of Things, blockchain, and artificial intelligence, may tremendously impact the optimal design and effective management of HSCs. In this paper, we conduct a systematic literature network analysis and identify trends in I4.0 and HSCs. We posit the need to instill into current HSC efforts the quadruple bottom-line (cultural, economic, environmental, and social) pillars of sustainability and define a Sustainable Humanitarian Supply Chain (SHSC). Based on the extant literature and ongoing practice, we highlight how I4.0 technologies can aid SHSC stages from disaster risk assessment to preparedness to response to relief. The complex nature of SHSCs requires a holistic and multidisciplinary approach and collaboration by scholars, policymakers, and industry practitioners to pool solution resources. We offer future research venues in this fledgling but life-saving scientific discipline. SHSCs can be empowered with I4.0 technologies, a much needed direction in our climate-changed world.

Optimal Design of PV/WT/Battery Based Microgrid for Rural Areas in Leh Using Dragonfly Algorithm

This study proposes an optimal microgrid design for rural electrification in India’s Leh and Ladakh regions, using wind energy, solar, energy, and battery energy storage system. The Dragonfly Algorithm (DA) is used to calculate the optimal number of microgrid units, and results are compared with popular optimization algorithms such as Grey Wolf optimization (GWO), Differential Evolution (DE), and Discrete Harmony Search (DHS). The optimal design is based on an objective function to minimize the Levelized cost of energy (LCOE) while keeping the loss of power supply probability (LOPSP) as a reliability constraint. Three configuration studies are carried out, with three cases, each with a different maximum permissible LOPSP (LOPSPmax) value. The results show that optimal design and efficient energy management reliably meet the load demand. The energy generated from the proposed microgrid is clean compared to the grid supply, and the amount of greenhouse gas (GHG) emissions is reduced by 91.2% from Configuration-I, Case-I, which is the most economical configuration. The LCOE obtained from Configuration-I, Case-I is 0.129 $/kWh, the lowest among similar systems available in the literature. To determine the parameter cost with supply, the LCOE and Total life cycle cost (TLCC) sensitivity to LOPSPmax are considered. Furthermore, statistical analysis shows that DA outperforms GWO, DE, and DHS in terms of accuracy and convergence rate.

Exploring the Impact of Rainfall on Vehicle Trajectory Patterns and Sideslip Risk: An Empirical Investigation

Understanding the sideslip risks of various trajectory patterns, as well as the impact of rainfall on them, is critical for improving road safety. However, the lack of precise classification indicators hampers systematic analysis of the variations in vehicle trajectory patterns. To address this, this study proposes a parameterized classification method for trajectories on curved segments, employing the radius and offset of the trajectory as the primary classification features and dividing the trajectories into nine patterns. These patterns represent variations from smaller to larger radii and inside to outside lane offsets, reflecting different driving behaviors and vehicle stability during vehicle cornering. Concurrently, the friction coefficient utilization rate is used to effectively compare vehicles’ sideslip risk under different weather conditions. Based on this, we construct a framework using computer vision technology for automatically identifying trajectory patterns and measuring sideslip risk. We conducted an empirical study on a highway-curved segment with high sideslip risk in China and collected two datasets under clear and rainy conditions for analysis. The classification results show that the proposed method can effectively classify trajectories according to nine trajectory patterns. Comparative analysis reveals that vehicle trajectories in both the inside and outside lanes are notably more affected by rainfall compared to the middle lane. Meanwhile, trucks demonstrate a higher susceptibility to rainfall than cars. In addition, the analysis of the sideslip risk for different trajectory patterns discovers several high-risk patterns. This study provides an effective approach for monitoring and analyzing the sideslip risk on curved segments, thereby contributing to the enhancement of road design and traffic safety management.

Design Reliability Analysis and Quality Control of Nuclear Pressure Reducing Valve

In order to improve the localization level of nuclear power and solve the “neck” problem of nuclear pressure reducing valve in CAP1400 project, the design reliability analysis and quality control requirements of domestic prototype of nuclear pressure reducing valve was studied. Through the analysis and application of the technical requirements of the pressure reducing valve, the control was strengthened from the reliability requirements of seismic analysis, identification test and quality control points, which provided a strong technical support for the localization of nuclear grade pressure reducing valve. The seismic analysis required that the stress, resonance frequency and deformation analysis on the dangerous section of the main parts of nuclear pressure reducing valve met the requirements of regulations and standards. The reliability control was carried out from three aspects: the selection of test medium, the stability control of pressure behind the valve and the requirements of failure operation performance. Quality point control taked quality control measures from three aspects: tooling design, standard application and test bench management. All measurements ensured that the design quality of nuclear pressure reducing valve meets the requirements. The successful development of the domestic prototype of nuclear grade pressure reducing valve shows the effectiveness of the design reliability analysis and quality control method, which provides a reference for the localization of equipment in the future.

Phase field model for electric-thermal coupled discharge breakdown of polyimide nanocomposites under high frequency electrical stress

In contrast to conventional transformers, power electronic transformers, as an integral component of new energy power system, are often subjected to high-frequency and transient electrical stresses, leading to heightened concerns regarding insulation failures. Meanwhile, the underlying mechanism behind discharge breakdown failure and nanofiller enhancement under high-frequency electrical stress remains unclear. An electric-thermal coupled discharge breakdown phase field model was constructed to study the evolution of the breakdown path in polyimide nanocomposite insulation subjected to high-frequency stress. The investigation focused on analyzing the effect of various factors, including frequency, temperature, and nanofiller shape, on the breakdown path of Polyimide (PI) composites. Additionally, it elucidated the enhancement mechanism of nano-modified composite insulation at the mesoscopic scale. The results indicated that with increasing frequency and temperature, the discharge breakdown path demonstrates accelerated development, accompanied by a gradual dominance of Joule heat energy. This enhancement is attributed to the dispersed electric field distribution and the hindering effect of the nanosheets. The research findings offer a theoretical foundation and methodological framework to inform the optimal design and performance management of new insulating materials utilized in high-frequency power equipment.

Design Management of Environmental Access Security in Priority Spatial Spaces for Green Open Space (OGS) Tropical City Surabaya - Indonesia with CPTED Approach to Reduce the Impact of Visitor Vandalism

This research examines environmental and social problems with a security design solution approach for green open spaces in tropical city parks related to negative visitor behavior, especially in the form of vandalism which can cause damage to facilities and vegetation in areas with dense and varied visitor activities. This research was conducted in priority spatial environments popular and paid parks in the tropical city of Surabaya, Indonesia. The classification of visitor access security detection uses the Crime Prevention through Environment Design (CPTED) vandalism management strategy theory to determine the access security model applied to spatial behavior. The results show that spatial areas with high levels of visitor density and management’s low level of application of CPTED attributes have an effect on increasing the impact of visitor vandalism on park facilities.

A new lean tool for design management: design cost deployment

The design process wields substantial influence across various dimensions in product’s life cycle, encompassing functionality, manufacturability, assembly, safety and numerous other facets. Consequently, it represents a significant contributor to the product’s overall cost. Enhancing the design process translates into accessing diverse opportunities within an ever-competitive market landscape. This paper introduces a novel lean framework explicitly that pinpoints and eradicates losses occurring during the design phases using an Overall Design Effectiveness (ODE) metric that assesses the performance of a company’s technical department. Our Design Cost Deployment (DCD) lean toolkit then identifies, analyses and eliminates design-related losses. The DCD implementation involves five core steps, each necessitating a purpose-built matrix for loss detection, cause–effect relationship investigation, cost quantification related to losses and guidance for decision-making in the context of improvements. This framework was tested in a real-world industrial scenario, involving a mechanical manufacturing company and was both to use straightforward and effective in its results.

Critical Control Points and Case Studies in the Production of Metal Additive Manufacturing Medical Device

The critical control points in the production quality management of metal additive manufacturing medical devices, including personnel, hardware, design and development, procurement control, production management and quality control are summarized from the perspective of supervision. The typical cases are analyzed to provide reference for medical device regulatory authorities and enterprises.

Reporting on the Development of a Web-Based Prototype Dashboard for Construction Design Managers, Achieved through Design Science Research Methodology (DSRM)

Construction Design Management (DM) involves the coordination of design processes and activities to ensure quality project design, yet it involves many challenges. This study reports on a collaborative Knowledge Transfer Partnership (KTP) project with a Case Study Organization (CSO) that tackled several issues faced by construction design managers. Employing a design science research methodology (DSRM), qualitative analysis of semi-structured interviews with purposefully identified design managers uncovered real-world concerns around design co-ordination and performance monitoring. To address these concerns, a web-based design management prototype dashboard was developed using typical project data to aid in the management of design coordination, task prioritization, and reporting functionalities. The web-based Design Management prototype dashboard enhances design management productivity in construction firms by monitoring design production, assessing designer performance trends, and focusing on Technical Queries (TQs) and Requests for Information (RFIs). Digitalizing selected design management processes improves efficiency and productivity. The visual reporting of the dashboard enables design production monitoring at project and portfolio levels, assesses trends in designer performance, and maintains focus on TQs and RFIs. Demonstrating how web-based Design Management dashboards can enhance productivity, this study emphasizes practical solutions derived from employing a design science research methodology. The development and application of the web-based dashboard contribute to the growing evidence that employing design science research methodology in construction can yield tangible solutions to address real-world construction concerns.

Urban Architectural Space Design and Architectural Management

The field of urban architectural space design and architectural management covers various key aspects of creating and maintaining a building environment. Architectural space design involves conceptualization and feasibility studies, adherence to principles of functionality, aesthetics, and sustainability, as well as collaboration with engineers. Construction and management cover project management, compliance with regulations, and efficient resource utilization. Effective maintenance, regular inspections, upgrades, and refurbishments can ensure the long-term survival capability of the structure. Through this holistic approach, ultimately create practical, safe, aesthetically pleasing, and sustainable urban spaces.

Quality management for design – Bid-build versus design-and-build contracts for infrastructure projects

AbstractSelecting the construction delivery method during the contracting period is one of the most important decisions determining the quality of large-scale infrastructure projects. Infrastructure projects have the most complex production processes in civil engineering. Infrastructure projects are among the most complex and resource-intensive endeavours in civil engineering due to their size, scope, multidisciplinary nature, regulatory requirements, financing challenges, environmental considerations, and the need for long-term planning and maintenance. Effective project management, collaboration, and a deep understanding of these challenges are crucial for the successful execution of infrastructure projects. Implementing such projects inevitably demands proper quality management throughout the project lifecycle. Two primary types of construction contracts are under implementation worldwide: Design-Bid-Build (DBB) and Design–and–Build (DB) contracts. In the Western Balkans region, both types of contracts are utilized for infrastructure projects, A noticeable trend is emerging toward transitioning from DBB to DB contracts. This paper provides a comprehensive analysis of quality management within the context of construction contracts with a focus on the roles and responsibilities of key stakeholders and how these factors affect the achievement of quality objectives while managing constraints related to cost and time. This research aims to improve construction practices by selecting an adequate type of contract for construction practices and ensuring successful project outcomes.

Assessment of the Historical Gardens and Buildings Lighting Interaction through Virtual Reality: The Case of Casita de Arriba de El Escorial

Green areas and parks are places where people’s quality of life improves, places of recreation and relaxation, in which to carry out various social activities. Among these, the historic gardens represent the union between green areas and historic architecture. Light is considered one of the main factors influencing the perception of such spaces at night; therefore, lighting solutions should be properly balanced. Immersive virtual reality is a tool that allows for lighting design management from different viewpoints. This study investigates how the lighting of a monumental garden affects people’s perception of its architecture at night. With this aim, a detailed 3D model of the western part of Escorial’s monumental complex in Spain was built in DIALux evo 11 and Unreal Engine 4.27 and used to propose six different lighting scenarios. Participants viewed the scenarios through a head-mounted display and provided subjective feedback on the perceived light strength of the environment and architecture. Results highlight that illuminating surrounding areas affects the environment and building perception, as well as the order in which elements capture observer attention. In particular, lit elements between the observer and the façade can reduce façade importance.