scholarly journals Optimization of Operation Strategy for Collection Systems of Biohazard Wastes in Hospitals Based on Autonomous Robots: A Heuristic Approach

2020 ◽  
pp. 33-43
Author(s):  
Tamás Bányai ◽  
Izteleuova Maral ◽  
Béla Illés ◽  
Ágota Bányai ◽  
Péter Tamás
Keyword(s):  
Mathematical Model ◽  
Health Care ◽  
Industrial Revolution ◽  
New Technologies ◽  
Autonomous Robots ◽  
Health Care Systems ◽  
Mathematical Problem ◽  
Optimal Solution ◽  
Waste Collection ◽  
The Mathematical Model

The increasing rate of hospital admission led to increased volume of both municipal and biohazard wastes. The fourth industrial revolution opens up new perspectives to improve the conventional processes of hospitals and other institutions of health care systems. The application of new technologies integrated into the solutions of Industry 4.0 makes it possible to improve the efficiency of processes of hospitals not only in the field of medicine, but also in the field of other services, like logistics and supply chain. Within the frame of this article the authors are focusing on the development of new operation strategies for biohazard waste collection in hospitals using smart bins and autonomous waste collection vehicles/robots. The literature review helps to identify research gaps in the field of biohazard waste collection in hospitals. After that, the article describes the mathematical model of the waste collection system including smart bins, autonomous collection vehicles, users (patients and health professionals). The mathematical model has a time-based objective function, while time-, capacity- and safety-related constraints are also taken into consideration. The mathematical problem is an NP-hard problem; therefore, we use the non-linear regression and evolutive options of Excel Solver to find the optimal solution. The numerical scenarios validate the model and show the advantages of using new technologies in health care institutes, like hospitals.

scholarly journals Mighty Mites

2005 ◽  
Vol 127 (09) ◽  
pp. 34-37
Author(s):  
Don W. Dareing ◽  
Thomas Thundat
Keyword(s):  
Health Care ◽  
Industrial Revolution ◽  
New Technologies ◽  
New Technology ◽  
Production Costs ◽  
New Materials ◽  
Performance Predictions ◽  
The 19Th Century ◽  
Analytical Tools ◽  
Reliability And Availability

This article reviews that the future belongs to machines built at molecular scales—if the tools to engineer them. Just as the steam engine sparked the industrial revolution of the 19th century, nanotechnology will likely ignite a new industrial revolution during the 21st century. Nanotechnology has the potential to impact all industries; the health care and computer industries are already capitalizing on it. New materials are being created that will affect everything from aerospace and energy to recreation and entertainment. Science is uncovering new technology almost daily, which will have a great impact on many aspects of society. These technologies are at various stages of development, but in the end, each spin-off product must withstand the test in the marketplace. The evaluation of each product will still be based on the same set of metrics as other products: performance, cost, risk or reliability, and availability. To satisfy these metrics, engineers will need analytical tools to make performance predictions, establish production costs and lifecycle economics, quantify the risk associated with new technologies, and satisfy a dynamic market.

scholarly journals OPTIMIZING THE NATURAL ILLUMINATION OF RANDOM SHAPE PREMISES

2016 ◽  
Vol 2 (1) ◽  
pp. 181-184
Author(s):  
Чернышёва ◽  
Kseniya Chernysheva ◽  
Брусенцев ◽  
Aleksandr Brusentsev
Keyword(s):  
Mathematical Model ◽  
Mathematical Problem ◽  
Technical Problem ◽  
Main Task ◽  
Random Shape ◽  
Natural Illumination ◽  
Basic Concepts ◽  
The Mathematical Model

The problem of providing the illumination in diverse industrial premises, despite the numerous methods and ways to solve it is still relevant. In this article, the example of a specific technical problem considers the possibility of optimizing the natural illumination of random shape premises. The main task & basic concepts and definitions from the area of metering lighting which are necessary for solving this task are formulated. The mathematical model of natural illumination and the mathematical problem of optimization of natural illumination are described here. A brief description of the algorithm for solving the problem is given also.

Cooperative Target Allocation for UCAV Team Air-to-Ground Attack Based on Decision Graph Bayesian Optimization Algorithm

2012 ◽  
Vol 457-458 ◽  
pp. 655-662
Author(s):  
Lu Cao ◽  
An Zhang ◽  
Feng Juan Guo
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Optimization Algorithm ◽  
Optimal Solution ◽  
Bayesian Optimization ◽  
Bayesian Optimization Algorithm ◽  
Decision Graph ◽  
Target Allocation ◽  
Cooperative Decision Making ◽  
The Mathematical Model

In order to control and optimize cooperative air-to-ground attack decision-making of the unmanned combat aerial vehicle (UCAV) team, the principle of income maximum and loss minimum of UCAV team is built firstly. Accordingly, the mathematical model of cooperative target allocation is built based on the decision variables and constraints. Then Bayesian optimization algorithm (BOA) is introduced which is one kind of the evolution algorithm. For improving the ability of the BOA, decision graph is introduced to enhance the represent and learn of Bayesian network and compress the parameter saving. Finally decision graph Bayesian optimization algorithm (DBOA) is utilized to optimize and analyze the model. The simulation results verify that the mathematical model of cooperative target allocation can reflect the importance of cooperative decision-making, the DBOA can converge quickly to the global optimal solution and can effectively solve the cooperative target allocation problem of UCAV team air-to-ground attack.

scholarly journals Optimizing Vehicle Routing for Simultaneous Pick-up and Delivery considering the Reusable Transporting Containers: Case of Convenient Stores

2020 ◽  
Author(s):  
Intaek Gong ◽  
Kyungho Lee ◽  
Jaewon Kim ◽  
Yunhong Min ◽  
Kwang Sup Shin
Keyword(s):  
Mathematical Model ◽  
Vehicle Routing ◽  
Traffic Congestion ◽  
Optimal Algorithm ◽  
Time Windows ◽  
Mathematical Problem ◽  
Transportation Cost ◽  
Business Environment ◽  
Routing Problem ◽  
The Mathematical Model

A lot of previous research have proposed various frameworks and algorithms to optimize routes to reduce the total transportation cost, which accounts for over 70% of overall logistics cost. However, it is very hard to find the cases applied the mathematical models or algorithms to the practical business environment cases, especially daily operating logistics services like convenient stores. Most of previous research have considered the developing an optimal algorithm which can solve the mathematical problem within the practical time while satisfying all constraints such as the capacity of delivery and pick-up, and time windows. For the daily pick-up and delivery service like supporting several convenient stores, it is required to consider the unit transporting container as well as the demand, capacity of trucks, traveling distance and traffic congestion. Especially, the reusable transporting container, trays, should be regarded as the important asset of logistics center. However, if the mathematical model focuses on only satisfying constraints related delivery and not considering the cost of trays, it is often to leave the empty trays on the pick-up points when there is not enough space in the track. In this research, it has been proposed to build the mathematical model for optimizing pick-up and delivery plans by extending the general vehicle routing problem of simultaneous delivery and pickup with time windows while considering left-over cost. With the numerical experiments, it has been proved that the proposed model may reduce the total delivery cost. It may be possible to apply the proposed approach to the various logistics business which uses the reusable transporting container like shipping containers, refrigerating containers, trays, and pallets.

scholarly journals Design Principles of Multi-Chambered Gun

2016 ◽  
Vol 7 (3) ◽  
pp. 7-20
Author(s):  
Michal KOVAŘÍK
Keyword(s):  
Mathematical Model ◽  
Sensitivity Analysis ◽  
New Technologies ◽  
Maximum Velocity ◽  
Weapon System ◽  
Interior Ballistics ◽  
Muzzle Velocity ◽  
Design Characteristics ◽  
The Mathematical Model ◽  
Approximate Expressions

The multi-chambered gun concept is based on the effect of increasing muzzle velocity of weapon system without need of new technologies or excessive dimensions. The mathematical model of interior ballistics of the multi-chambered gun was assembled by means of extension and modification of the thermodynamic model of interior ballistics of conventional gun. The reliability of numerical solution of a model has been examined in the comparison with results of ballistic shootings with several arrangements of the experimental weapon system. Subsequently the numerical sensitivity analysis of the interior ballistics model has been carried out as well as the simplified system of analytical approximate expressions comprising the crucial gun design characteristics has been built up. Outputs of both the sensitivity analysis and simplified system could be used in the case of multi-chambered gun designing in order to reach maximum velocity with no simultaneous rise in maximal ballistic pressure.

SCANNING THE HORIZON IN A DECENTRALIZED HEALTHCARE SYSTEM: THE CANADIAN EXPERIENCE

2012 ◽  
Vol 28 (3) ◽  
pp. 327-332 ◽  
Author(s):  
Andra Morrison
Keyword(s):  
Health Care ◽  
Health Care System ◽  
New Technologies ◽  
Health Care Systems ◽  
Care Needs ◽  
Policy Issues ◽  
Health Technologies ◽  
Care Systems ◽  
Awareness Service ◽  
Care System

Canada has a highly decentralized health care system with 13 provinces and territories delivering health care within their own respective jurisdictions. Decisions regarding which innovative health technologies to adopt are often driven by the unique health care priorities of each jurisdiction's population. To understand these needs, the Canadian Agency for Drugs and Technologies in Health's (CADTH's) Early Awareness Service has expanded its activities. In addition to proactively scanning the horizon for new and emerging health technologies, the Early Awareness Service also scans the horizon for national and jurisdictional health policy issues. This paper looks at CADTH's process for identifying and monitoring policy issues at a national and jurisdictional level.CADTH's Early Awareness Service delivers timely information on emerging health care concerns and technologies that may affect health care finances, facilities, operations, and patient care. The identification of important policy issues can help determine which new and emerging technologies will have the most significant impact on the health care system. The information that CADTH scans can also be used to help decision-makers prepare for potential developments and events that may have an impact on health care systems.By improving its capability to identify and share policy issues across and within jurisdictions, CADTH is better situated to provide information that can be used by policy-makers to help them plan and anticipate for the introduction of new technologies and future developments affecting the unique health care needs of their jurisdictions.

Engineering Management on Modeling of Environmental Protection

2013 ◽  
Vol 734-737 ◽  
pp. 3352-3355
Author(s):  
Hung Cheng Hsu ◽  
Wei Shang Fan
Keyword(s):  
Mathematical Model ◽  
Mathematical Models ◽  
Euler Equation ◽  
Optimal Solution ◽  
Engineering Management ◽  
Human Beings ◽  
Management Application ◽  
Good Measurement ◽  
The Mathematical Model ◽  
Energy Issues

Management on modeling and measuring are seldom seen in management research but it is a good measurement to some issues. Environment & Energy issues are important but still no optimal solution. In the study, we use the mathematical model to deal with the management application. Earth pollutions are getting more and more serious. The Environment & Energy issues are two significant problems nowadays. The pollutions on earth are needed to be limited. We should do something on controlling the limited pollutions on earth as possible as we can. The study pays attention on the optimal control of the pollutions by mathematical models. We try to make the optimal solution on the pollutions origin. With the efficient control of the pollutions, the earth can absorb and invert the pollutions. This is the main purpose of the study and the methodology are seldom seem in researches. The study also uses mathematical model to make this issue to be a discussible model. With the mathematical models and Euler equation in the study, we can get the optimal solution in scientific method and it is available for governments to handle with the pollution control. In the study, we take water pollution for example because air and water are two main matters for human beings. If water pollutions are getting serious, we hardly survive. Key words: Euler equation, mathematical models

scholarly journals User-centred design as an important component of technological development

2017 ◽  
Vol 3 (1) ◽  
pp. 69-73
Author(s):  
Natalie Jankowski ◽  
Laura Schönijahn ◽  
Christina Salchow ◽  
Ekaterina Ivanova ◽  
Michael Wahl
Keyword(s):  
Health Care ◽  
New Technologies ◽  
Technological Development ◽  
Health Care Systems ◽  
Care Provision ◽  
Iterative Development ◽  
Care Systems ◽  
Development Processes ◽  
Funded Project

Abstract:New technologies can be implemented in clinical rehabilitation processes or to close the gap in health care provision by transferring them to the patients’ home. Successful use can only be achieved under the assumption that the technology is accepted by its users. The involvement of users in iterative development processes is to be shown to increase the quality of health care systems and to prevent refusal. In this review potentials of user acceptance and satisfaction surveys in the development of stroke rehabilitation systems are discussed. The surveys are conducted as a method for improving the ongoing design process of innovative technical systems developed in the BMBF funded project “BeMobil”.

Ergonomic layout optimization of a smart assembly workbench

2018 ◽  
Vol 38 (3) ◽  
pp. 314-322 ◽  
Author(s):  
Shi-qing Wu ◽  
Bin Shen ◽  
Yun-zhe Tang ◽  
Jia-hai Wang ◽  
Da-teng Zheng
Keyword(s):  
Mathematical Model ◽  
Design Methodology ◽  
Optimal Solution ◽  
Layout Design ◽  
Layout Optimization ◽  
Content Type ◽  
Smart Assembly ◽  
Simulation Results ◽  
The Mathematical Model ◽  
Improved Algorithm

Purpose The purpose of this paper is to study a method to optimize the arrangement of the devices on a smart assembly workbench, which help to reduce fatigue and improve efficiency for the worker. Design/methodology/approach The optimization priority is studied based on the users’ decisions, a mathematical model of the layout optimization is established from ergonomic perspective and an improved algorithm is adopted to solve the built the mathematical model. Findings Ergonomic software Jack is chosen to simulate the four layout schemes obtained. Through comparative analysis of the simulation results, it is proven that the optimal solution can be obtained using the improved algorithm. Originality/value The mathematical model built on observation comfort, operation comfort and device accessibility, as well as the improved algorithm in this paper, has some reference values for the layout design of smart assembly workbench.

scholarly journals Hybrid Differential Evolution Algorithm and Adaptive Large Neighborhood Search to Solve Parallel Machine Scheduling to Minimize Energy Consumption in Consideration of Machine-Load Balance Problems

2021 ◽  
Vol 13 (10) ◽  
pp. 5470
Author(s):  
Rujapa Nanthapodej ◽  
Cheng-Hsiang Liu ◽  
Krisanarach Nitisiri ◽  
Sirorat Pattanapairoj
Keyword(s):  
Mathematical Model ◽  
Energy Consumption ◽  
Differential Evolution ◽  
Differential Evolution Algorithm ◽  
Optimal Solution ◽  
Parallel Machine Scheduling ◽  
Neighborhood Search ◽  
Solution Quality ◽  
Machine Load ◽  
The Mathematical Model

Environmental and economic considerations create a challenge for manufacturers. The main priorities for production planning in environmentally friendly manufacturing industries are reducing energy consumption and improving productivity by balancing machine load. This paper focuses on parallel machine scheduling to minimize energy consumption (PMS_ENER), which is an indicator of environmental sustainability when considering machine-load balance problems. A mathematical model was formulated to solve the proposed problem and tested using a set of problem groups. The findings indicated that the mathematical model could find an optimal solution within a limited calculation time for small problems. For medium and large problems, the mathematical model could also find the optimal solution within a limited calculation time, but worse than all metaheuristics. However, finding an optimal solution for a larger problem is time-consuming. Thus, a novel method, a hybrid differential evolution algorithm with adaptive large neighborhood search (HyDE-ALNS), is presented to solve large-scale PMS_ENER. The new mutation and recombination formula for the differential evolution (DE) algorithm proposed in this article obtained promising results. By using the HyDE-ALNS, we improved the solution quality by 0.22%, 7.21%, and 12.01% compared with a modified DE (MDE-3) for small, medium, and large problems respectively. In addition, five new removal methods were designed to implement in ALNS and achieve optimal solution quality.

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