Service System Design Research Articles

Rancang Bangun Sistem Layanan Bebas Laboratorium Menggunakan Pengaya (Add-Ons) Autocrat

Laboratory-Free Services at the Biology Laboratory of Semarang State University are currently carried out online, but there are several shortcomings, including verification of data and document entries, as well as the creation of a laboratory-free certificate is still processed manually. The process of printing a laboratory-free certificate makes services inevitable from the use of paper. in addition, manual processes allow for data errors as well as taking longer. The purpose of this study was to design a laboratory-free service system using Autocrat Add-ons. The methods used in this study include interviews, observations, system design and testing of laboratory-free service systems using the blackbox method. The results of this study are in the form of a system that utilizes Autocrat Add-ons in laboratory-free services. All service processes can be done at any time online, as long as they are connected to the internet. Autocrat add-ons convert data entry into laboratory-free certificates. The results are sent directly to the student's email address so as to make it more paperless. From the results of the black box test, it shows that the laboratory free service system can run well as expected including aspects of short links, google forms, and autocrat add-ons functions. Theconclusion of this study is that the free service of the FMIPA UNNES biological laboratory was carried out online using the Autocrat add-ons (Add-ons) to be more effective, efficient and paperless

Research on Urban Intelligent Medical Service System Design Based on Multiobjective Decision-Making Optimization Strategy

Aiming at the problems of difficult medical treatment for urban residents, low efficiency of hospitals, imbalance of medical resources and difficulty to meet the demands of patients, this paper proposes an urban intelligent medical service system based on multiobjective decision-making optimization strategy. Firstly, it analyzes the medical service demands of urban residents and points out that the urban intelligent medical service system should provide comprehensive services for residents; the main demands include basic medical demands, expected medical demands, and health care medical demands. Secondly, based on demand analysis, an urban intelligent medical service system composed of government, community hospital, large hospital, and urban residents is designed. The system has three kinds of system functions: customer business services, basic services, and institutional information services. Then, the overall process of the system before and after treatment of urban residents is introduced. Finally, according to the optimization objectives of the system: low medical cost, fast treatment speed, and high service satisfaction, the corresponding optimization strategies are formulated to optimize the urban intelligent medical system, reduce medical cost, improve treatment speed, and improve customer satisfaction, to better serve urban residents.

An emergency medical services system design using mathematical modeling and simulation-based optimization approaches

The healthcare system is no stranger to resource challenges in the face of unlimited demand to fulfill healthcare objectives of satisfying patients, maintaining service quality, and maximizing profit. Healthcare decision-makers are responsible for devising effective methods for allocating scarce resources fairly and in a way that maximizes benefits at the societal level. An emergency medical services (EMS) system plays a crucial role in stabilizing and transporting seriously injured patients to hospitals within healthcare systems. Several criteria affect the EMS function, such as call rate, traffic condition, setup, and operating costs. Therefore, the optimal design of EMS systems, including determining the location of emergency medical bases and allocating ambulances, helps improve service performance. This paper takes advantage of the mathematical modeling and simulation-based optimization approaches to identify the best location of emergency medical centers and assign the ambulances to the selected centers to maximize survival rate and minimize the total cost of the EMS system. A case study is presented to demonstrate the applicability and efficacy of the developed approach in this study.

A method of constructing an inspiration library driven by user-perceived preference evaluation data for biologically inspired design

Biologically inspired design (BID) is one of the common methods for product design. To solve the problem of inaccurate acquisition of inspirational creatures due to the lack of user perception preference analysis, a data-driven intelligent service model for BID considering user perception needs is proposed based on Kansei engineering. Firstly, by extracting the perceptual features of creatures from the semantic source elements of products through mapping and encodes them, we proposed a data acquisition method based on intuitionistic fuzzy sets considering different customer preference distributions, bridging the gap caused by the asymmetry between designers and users. Secondly, the functional relationship between biometric features and user-perceived attributes is identified and predicted, and a predictive model of biodata considering user preferences is obtained by multiple linear regression analysis. Finally, based on the data clustering and reorganization theory to understand the organization and dynamics of the database, the construction of a BID library was completed, and the design resources in the library were used as analyzed knowledge for designers to plan design activities. Taking the bionic design of a UAV product as an example, a prototype of a computer-aided design service system was developed based on the theory proposed in the article, and the analyzed knowledge was used to improve the efficiency and science of the design, effectively verifying the usefulness of this study for design. To a certain extent, this study addresses the problem of cognitive limitations of designers and cognitive differences between designers and users, promotes the application of bioinspiration in product design, and improves the marketability of design solutions.

Design and Implementation of Industrial Design and Transformation System Based on Artificial Intelligence Technology

The introduction of AI technology in the process of industrial product design is helpful for designers to better analyze and apply complex data. This study integrates AI with industrial design, applies new ideas and technologies in AI to industrial design, and changes the traditional industrial design mode. The contents of AI and industrial design are analyzed in detail, and the research methods such as literature research, field observation, and interview are used to further clarify the design objectives and conditions. From the perspectives of the design process, product structure, engineering data, and project maintenance, the method of product design information exchange and sharing is put forward. The system architecture of industrial design service systems based on AI technology is given. Theory and practice show that the overall performance of this algorithm is good. The industrial design method based on AI has certain positive effects and achieved good results. This research provides a new idea for intelligent industrial design.

Service quality modeling to support optimizing facility location in a microscale environment

After initial planning and implementation, many systems evolve as a byproduct of fragmented decision-making processes and incremental change over time, with little system-wide reanalysis. This lack of reevaluation means that an originally optimal system may become suboptimal with respect to demand to be served or service performance. Assessing system design and configuration provides an opportunity to enhance overall service quality as well as reduce operational costs. This paper uses location analytics, including spatial optimization and geographic information systems (GIS), to support system reassessment and planning efforts. A case study focused on wireless Internet access across a university campus is presented. The results suggest that there are varying levels of access to wireless service, this variation is driven in part by system history and fragmented decision-making processes, and there is an opportunity to significantly enhance the quality of service through planning efforts focused on optimal system reconfiguration. These findings highlight the importance of analytics based planning in design, modification, or extension of a spatial service system.

Unpacking the Role of Artificial Intelligence for a Multimodal Service System Design

Since requirements of service demands are becoming increasingly complex and diversified, one of the success factors of a multimodal service system is its capability to design a specific service instance satisfying a specific set of requirements. This capability is further highlighted in Ad Hoc Multimodal Service Systems (AHMSSs), where service instances rarely follow a standard form of service delivery and exist only for a limited time. However, due to the increasing scale and frequency of services in many business and public sectors, meeting the desired level of capability has become troublesome. A well-designed Artificial Intelligence (AI) approach can be a solution to the difficulty by addressing the underlying complexity and uncertainty of the AHMSS design process. To conceptualize and foster AI applications to an AHMSS, this study identifies key decision-making problems in the AHMSS design process and discusses the role of AI in the process. The results will form the basis for AI development and implementation for an AHMSS and relevant service systems.

Design of library smart cloud service system based on blockchain technology

AbstractBlockchain is equivalent to a transparent billing, and it eventually becomes a perfect storage or storage technology through many ways. Smart cloud uses internet cloud computing and other computing methods to create a scientific and humanized intelligent service system based on office. This article aims to use blockchain technology to design and study a smart cloud service system suitable for optimizing services and managing libraries. This article proposes that a special algorithm using blockchain technology can effectively improve the performance of all aspects of the smart cloud service system and improve the rating scores of users on the service system. In the experiment, the calculation of different iteration times in different algorithms of the blockchain obtains the experimental comparison chart, and it is obtained that the FUJK3 algorithm is better than the other two algorithms. The algorithm can increase the overall performance of the smart cloud service system by about 10 points, and the user's rating score for the service system by about 15 points.

Adaptive large neighborhood decomposition search algorithm for multi-allocation hub location routing problem

In this study, we investigate a multi-allocation hub location routing problem (MAHLRP) for the design of an intra-city express service system, in which flows of mails and parcels are exchanged among the branch offices of the service provider via local tours and hubs. In this application, the pickup and delivery processes are handled simultaneously, and both hub capacity and vehicle capacity are considered. We propose a mixed integer programming formulation for this variant of problem for the first time, followed by a meta-heuristic algorithm, named as adaptive large neighborhood decomposition search, to solve the problem. The proposed model and algorithm are also applied to the single-allocation hub location routing problem (SAHLRP) with minor modifications for comparison reasons. Series of numerical experiments have been conducted on the instances generated from Australian Post data set to test the proposed model and algorithm for both the SAHLRP and the MAHLRP. The results prove that our algorithm outperforms the CPLEX on solving these two problems, as well as that applying the MAHLRP can efficiently reduce the operating cost as compared to the SAHLRP.

The Design of Regional Cultural Service of the Maritime Silk Road Based on Symbolic Semantics

Objective to solve the puzzle of the lack of guiding theory of regional culture public goods service design in the field of service design, and to explore the psychological and emotional representation and association connotation of public goods service under specific regional culture. Methods By symbolic semantics, the cultural semantics, folk semantics and regional environment semantics of regional cultural public goods service design were characterized and analyzed from three levels: personal emotion, group affiliation and historical folklore. Combining symbolic semantic analysis with user behavior model, the historical intention of regional culture is abstracted and decomposed into multidimensional design factors layer by layer, and the framework of service design factors is further established. Results Taking the product service system of "Maritime Silk Road in western Guangdong" as an example, with the help of image scale map and semantic style analysis of symbolic semantics, the common feelings on the cultural level of "Maritime Silk Road Culture" were analyzed, and the folk journey scenarios and service blueprints were constructed, which were presented in the form of the design of regional cultural service system in western Guangdong. Conclusion It promotes the emotional resonance and cultural identity experience of users in the design of public goods and services by regional culture, and provides theoretical guidance for the design of regional culture products and services.

Design of cloud service system for enterprise economic management based on hybrid cloud mode

Design of cloud service system for enterprise economic management based on hybrid cloud mode

Research on the Design of Service System of Maker Education under the Concept of Service Design

The article explores the use of service design concept to build a reasonable service system for Maker education from the current problems of unfair distribution of resources and uneven development of Maker education. Service design integrates multiple skills and methods in design, management, and process, aiming to provide comprehensive services to customers, and it is an interdisciplinary field of practice and research[1]. Service design uses process standardization and purposefulness to decompose service processes according to user needs and their own characteristics, which can better build service systems. In this paper, firstly, by analyzing the development and main models of Maker education, it is believed that the service system of Maker education is beneficial to the development of Maker education. Secondly, by analyzing several famous service design processes and the tools and methods of the processes, the service design processes and the possible methods and tools that are suitable for constructing the service system of Maker education are summarized. Finally, several advantages of building a service system for Maker education are analyzed, and it is concluded that building a reasonable service system for Maker education can provide certain ideas and exploration directions for the development of Maker education nowadays.

An Emergency Medical Services System Design Using Mathematical Modelling and Simulation-Based Optimization Approaches

An Emergency Medical Services System Design Using Mathematical Modelling and Simulation-Based Optimization Approaches

Room Borrowing Information System Website Based using PHP and MySQL with Waterfall Model

Research by developing an information system is a research that aims to produce and develop an information service system design in the form of website-based rooms lending using PHP as a programming language and MySQL as a database that will be used at the Faculty of Teacher Training and Education, Sultan Ageng Tirtayasa University in-room management as room loan, room loan schedule, room loan data, and room information. This study uses the waterfall development model, with 5 (five) stages of development including the stages of communication, planning, modelling, construction and deployment. This research used Alpha and Beta testing to 3 (three) media experts and 31 (thirty-one) users including 1 (one) admin and 30 (thirty) students. Data collection techniques using interview techniques, observation and dissemination of research instruments. With data analysis in the form of a feasibility test using a Likert scale instrument of 4 (four) assessment scores to media experts and respondents. The final product produced is a website for rooms loaning information system, by average score by media experts (Alpha Testing) of 71.6 with the "very feasible" category. The results of the feasibility test by users (Beta Testing) were 34.32 with the "very feasible" category. Therefore, it can be concluded that the website-based room loan information system is very feasible to use.

Long-Term Assessment of Rehabilitation Treatment of Sports through Artificial Intelligence Research.

Background Artificial intelligence (AI) technology has been incorporated into all walks of life, especially the integration of machine learning and health management has achieved very significant progress and results. It is very necessary to analyze personalized sports health management services and long-term assessment of health issues in the era of AI. Methods This paper explores AI + personalized sports management service system design ideas, system operation process, management stage design, taking common chronic diseases, and diabetes as examples. 150 patients were divided into an observation group and a control group, and the blood glucose, blood pressure, blood lipid, and knowledge awareness rate were compared. Results The blood glucose, blood pressure, and blood lipid levels of the observation group all reduced, and the awareness rate of diabetes knowledge increased, which proved that the AI research has great value in sports rehabilitation research coupled with long term health assessment and is worth further research. Conclusion The AI research proposed in this paper is of far-reaching practical significance in helping the transformation and upgrading of the sports health management service industry, promoting the innovative development of sports health management service supply, and promoting national fitness and national health.

Customer Service System Design Based on Big Data Machine Learning

In recent years, with the rapid development of big data, traditional offline transactions have been moved to online in large numbers driven by the Internet. The virtual nature of online transactions has caused it to have problems such as difficulty in guaranteeing product quality and difficulty in user consultation. In addition, consumers are paying more and more attention to the quality of services, and the participation of customer service in the process of online transactions is very important. However, the current e-commerce market in our country is large and the number of online shopping users is extremely large. Customer service personnel are facing great work pressure. In addition, customer service has the characteristics of difficulty in recruiting, high labor costs, and high turnover rate. Such a dilemma is not conducive to our country. The sound development of e-commerce needs to be solved urgently. In order to solve these problems, it is a good method to apply related technologies to realize the automatic response of customer service. The purpose of this article is to design and research a customer service system based on big data machine learning. This article first through the understanding of the basic concepts of big data, and then extend the core technology of big data. Combining with the design ideas and concepts of contemporary customer service systems in our country, we will discuss the design and research of customer service systems based on big data machine learning. Research shows that traditional customer service in the era of big data can no longer meet people’s growing needs, and customer service systems based on big data machine learning are more efficient and convenient.

Research on Intelligent Information System of Library under Big Data and Digitization Technology

In the big data environment, we develop personalized information of college libraries based on big data from three aspects: the overall architecture of the system model, the functional model of the system, and the design of system interface modules according to the design principles and requirements of the personalized information service system of the university library Service system design. In terms of the functional design of the platform, the service platform is divided into four levels: accurate identification of user needs based on big data, personalized customized services based on artificial intelligence, academic research and discussion space based on integrated media, and fine-grained subject resource aggregation based on knowledge. On this basis, a centralized model of individualized services of university libraries including internal and external personnel, information resources, technology, services, processes, platforms, and environment has been constructed.

Sustainability in the Design of an Itinerant Cultural Exhibition. Study of Two Alternatives

The sustainability improvement of museums and exhibitions is a recent concern for multiple organisations. The application of sustainability criteria is one of the most important strategies of innovation in design activities, products, and service systems. This study analyses the sustainability of two alternatives to an itinerant cultural exhibition service. The exhibition travels to 12 destinations over 3 years and is within a space of 300 m2. In the first alternative, the contents are printed and exposed on a physical medium, and in the second, audiovisual media projects the contents on the walls. Life cycle sustainability assessment is applied to evaluate the impacts in the environmental dimension and the economic and social dimensions. The calculation of indicators, such as the greenhouse gas emissions, total costs, and working time, which are referred to each sustainability dimension, is conducted. A descriptive, comparative study was performed to identify the impact factors with a higher incidence. The results demonstrate that the audiovisual exhibition is more sustainable than the printed exhibition, with a difference of 8.7%, 7%, and 6.6% in GWP100, CE, and TW indicators, respectively.

Service system design of video conferencing visits with nurse assistance

Despite providing convenience and reducing the travel burden of patients, Video-Conferencing (VC) clinical visits have not enjoyed wide uptake by patients and care providers. It is desired that the medical problems addressed by VC visits can match a face-to-face encounter in scope and quality. Subsequently, VC visits with nurse assistance are emerging; however, the scalable and financially sustainable of such services are unclear. Therefore, we explore the implementability of VC visits with nursing services using a game-theoretic model, and investigate the impact of different pricing schemes (discriminative pricing based on patient characteristics vs. non-discriminative) on patients’ care choices between VC and in-person visits. Our results shed light on the “artificial congestion” created by a profit-driven medical institution that hurts patient welfare, and subsequently identify the conditions where the interest of the social planner and the medical institution are aligned. Our results highlight that, compared to a uniform price of VC visits which seems fair, discriminative pricing can be more beneficial for patients and the medical institution alike. This heightens the importance of insurance coverage of telehealth-related services to promote the adoption of telehealth by patients and care providers, and ultimately, improving care access and patient outcomes.

Research on Smart Healthcare Services: Based on the Design of APP Health Service Platform.

With the development of information technology, big data, and cloud computing, the concept of smart healthcare has gradually become more and more important. Compared with the traditional healthcare service, the new model, health service platform, is becoming increasingly popular and convenient. The use of wearable monitoring devices and some APPs is improving the health monitoring efficacy and effectiveness. To improve and facilitate the smart healthcare services, an effective and convenient app health service platform is needed urgently to serve the older and younger. Based on the above, this paper elaborates the principles of health service system and health information perception terminal design of the APP health service platform.