Equipment Allocation Research Articles

Repair equipment allocation problem for a support-and-repair ship on a deep sea: A hybrid multi-criteria decision making and optimization approach

To address the repair equipment allocation problem for a support-and-repair ship on a deep sea, a hybrid multi-criteria decision making and optimization approach is designed. Evidence reasoning approach is used to aggregate the evaluation information of quantitative criteria (i.e., weight and economics) and qualitative criteria (i.e., repair ability, reliability and convenience). Then, a mathematical repair equipment allocation model of a support-and-repair ship is formulated, which is a mixed-integer nonlinear model. A removal strategy based on a greedy algorithm that modifies infeasible solutions is designed to facilitate the use of a genetic algorithm with an elite strategy to address the model above. The proposed solution method using the removal strategy based on the greedy algorithm obtains better solution accuracy and global search performance than three widely used penalty-based methods by several test instances generated randomly. The results of a case study prove that the mathematical model and solution method can effectively obtain the optimal repair equipment allocation solution. The hybrid multi-criteria decision making and optimization approach has certain guiding significance for decision makers to determine their repair equipment allocation strategies for support-and-repair ships on a deep sea in practice.

A MODEL TO REDUCE EARTHMOVING IMPACTS

Meeting increasingly ambitious carbon regulations in the construction industry is particularly challenging for earthmoving operations due to the extensive use of heavy-duty diesel equipment. Better planning of operations and balancing of competing demands linked to environmental concerns, costs, and duration is needed. However, existing approaches (theoretical and practical) rarely address all of these demands simultaneously, and are often limited to parts of the process, such as earth allocation methods or equipment allocation methods based on practitioners’ past experience or goals. Thus, this study proposes a method that can integrate multiple planning techniques to maximize mitigation of project impacts cost-effectively, including the noted approaches together with others developed to facilitate effective decision-making. The model is adapted for planners and contractors to optimize mass flows and allocate earthmoving equipment configurations with respect to tradeoffs between duration, cost, CO2 emissions, and energy use. Three equipment allocation approaches are proposed and demonstrated in a case study. A rule-based approach that allocates equipment configurations according to hauling distances provided the best-performing approach in terms of costs, CO2 emissions, energy use and simplicity (which facilitates practical application at construction sites). The study also indicates that trucks are major contributors to earthmoving operations’ costs and environmental impacts.

System models of organization the use of computer equipment for mechanical engineering production

High responsibility and a wide variety of technological, design and project tasks are characteristic features of the machine-building enterprises of the space industry. The required product quality is achieved by automating engineering using computer hardware and software. The paper proposes complex system models for comparative evaluation of the effectiveness of the computer equipment allocation for the company units and controls the efficiency of their operation. The technique of using model of data envelopment analysis, aimed at both the identification of inefficient units and the definition of measures for the rational allocation of computer equipment, is proposed. A linear programming problem is formulated for a preliminary assessment of the use the computer technology in units. A mathematical model for constructing an efficiency practical frontier is proposed. The discrete programming problem for optimal computer equipment allocation is solved. Verification of the obtained solutions of the optimization problem is carried out using a simulation model based on the Petri net. The results of experimental studies are presented that confirm the adequacy and effectiveness of the proposed models.

Modeling uncertainties based on data mining approach in emergency service resource allocation

Thousands of victims and millions of people are affected by natural and non-natural incidents every year. The Resource Allocation Problem can be often considered as part of a post-incident and pre-incident measure. In this paper, a new mathematical model is presented based on data mining methods to maximize the coverage of demand points by ambulances and rescue cars under conditions of uncertainty by rescue and relief (RAR) stations. Also, to increase the accuracy and quality of the results, data mining methods were used to estimate the critical parameter which is defined as “the minimum required number of each kind of equipment to cover demand points under certain conditions” based on historical data in Iran which this method is the original contribution of this article.The objectives of this research are divided into three main sections:1.Introducing a new model based on data mining for the allocation of relief resources.2.To maximize coverage of demand points.3.Final testing of the model based on real data by improving the performance, accuracy and quality of the ultimate response of the rescue organization and providing an appropriate allocation plan.The results show that the proposed model has achieved a 5.19% improvement in optimal solution over the previous model for the same data set. Also, the number of covered demand points by the ambulances improved by 7.14% in the first and second scenarios and 17.64% for the rescue cars in the second scenario.The novelty of this study is to present a new model for the allocation of relief equipment to maximize coverage of demand points based on data mining approach under uncertainty.

Influence of Community and Culture in the Ethical Allocation of Scarce Medical Resources in a Pandemic Situation: Deliberative Democracy Study.

BackgroundStark gaps exist between projected health needs in a pandemic situation and the current capacity of health care and medical countermeasure systems. Existing pandemic ethics discussions have advocated to engage the public in scarcity dilemmas and attend the local contexts and cultural perspectives that shape responses to a global health threat. This public engagement study thus considers the role of community and culture in the ethical apportionment of scarce health resources, specifically ventilators, during an influenza pandemic. It builds upon a previous exploration of the values and preferences of Maryland residents regarding how a finite supply of mechanical ventilators ought to be allocated during a severe global outbreak of influenza. An important finding of this earlier research was that local history and place within the state engendered different ways of thinking about scarcity.ObjectiveGiven the intrastate variation in the themes expressed by Maryland participants, the project team sought to examine interstate differences by implementing the same protocol elsewhere to answer the following questions. Does variation in ethical frames of reference exist within different regions of the United States? What practical implications does evidence of sameness and difference possess for pandemic planners and policymakers at local and national levels?MethodsResearch using the same deliberative democracy process from the Maryland study was conducted in Central Texas in March 2018 among 30 diverse participants, half of whom identified as Hispanic or Latino. Deliberative democracy provides a moderated process through which community members can learn facts about a public policy matter from experts and explore their own and others’ views.ResultsParticipants proposed that by evenly distributing supplies of ventilators and applying clear eligibility criteria consistently, health authorities could enable fair allocation of scarce lifesaving equipment. The strong identification, attachment, and obligation of persons toward their nuclear and extended families emerged as a distinctive regional and ethnic core value that has practical implications for the substance, administration, and communication of allocation frameworks.ConclusionsMaryland and Central Texas residents expressed a common, overriding concern about the fairness of allocation decisions. Central Texas deliberants, however, more readily expounded upon family as a central consideration. In Central Texas, family is a principal, culturally inflected lens through which life and death matters are often viewed. Conveners of other pandemic-related public engagement exercises in the United States have advocated the benefits of transparency and inclusivity in developing an ethical allocation framework; this study demonstrates cultural competence as a further advantage.

From Containment to Mitigation of COVID-19 in the US

This Viewpoint discusses Kaiser Permanente in Northern California's transition from a containment strategy for coronavirus disease 2019 (COVID-19)-isolation or quarantine of exposed or infected patients-to a mitigation strategy comprising elements such as droplet and airborne precautions, telemedicine, staffing protocol revisions, and equipment allocation planning

Comparison of critical care resources between second-class hospitals and third-class hospitals in Guizhou Province of China

To know the critical care resources of the different class-hospitals in Guizhou Province, China, and to provide the direction and evidence for quality improvement and discipline construction of critical care medicine in Guizhou Province. The resource status of the departments of intensive care unit (ICU) in Guizhou Province was obtained through form filling and/or field investigation. The forms were filled and submitted from May 2017 to February 2018, and the field investigation (some of the hospitals) was carried out in March 2018. The data of hospitals in Guizhou Province in 2018, was obtained from the official website of Health Committee of Guizhou Province, which was released online on November 28th, 2019. The obtained data were summarized and analyzed according to different aspects such asthe status of ICU construction, main equipment configuration and technology implementation. There were 39 third-class hospitals and 77 second-class hospitals included in this study, which accounted for 76.5% (39/51) of third-class public hospitals and 50.0% (77/154) of second-class public hospitals respectively. Among them, there were 86.8% (33/38) of third-class general hospitals and 50.4% (69/137) of second-class general hospitals respectively. In terms of ICU construction, compared with the ICUs of second-class hospitals, the ICUs of third-class hospitals were established earlier [years: 2011 (2008, 2012) vs. 2013 (2011, 2015), P < 0.01], had more ICU beds, doctors and nurses [15 (11, 20) vs. 8 (6, 10), 9 (8, 11) vs. 6 (5, 7), 25 (20, 41) vs. 15 (12, 19), respectively, all P < 0.01]. However, there were no significant differences regarding the doctor-bed ratio and the nurse-bed ratio in ICUs between second-class hospitals and third-class hospitals. In terms of main equipment configuration, compared with the ICUs of second-class hospitals, the ICUs of third-class hospitals had more ventilators, higher ratio of ventilators to beds, more infusion pumps, higher ratio of infusion pumps to beds, more monitor, gastrointestinal nutrition pumps and single rooms, and higher proportion of ICUs equipped with negative pressure rooms [ventilators: 14 (10, 18) vs. 6 (4, 8), ratio of ventilators to beds: 1.0 (0.7, 1.1) vs. 0.8 (0.6, 1.0), infusion pumps: 10 (6, 20) vs. 5 (3, 8), ratio of infusion pumps to beds: 0.8 (0.0, 1.0) vs. 0.0 (0.0, 0.4), monitor: 18 (13, 24) vs. 9 (6, 12), gastrointestinal nutrition pumps: 2 (1, 5) vs. 1 (0, 3), single rooms: 2 (1, 3) vs. 1 (0, 3), proportion of ICUs equipped with negative pressure rooms: 53.8% (21/39) vs. 31.5% (23/73), respectively, all P < 0.05]. Furthermore, there were higher proportions of ICUs equipped with portable ventilator, pulse indicator continuous cardiac output monitoring (PiCCO), intra-aortic balloon pump (IABP), extra-corporeal membrane oxygenation (ECMO), B ultrasound machine, bronchoscope, pressure of end-tidal carbondioxide (PETCO2) monitoring, bispectral index (BIS) monitoring, bedside gastroscopy, the apparatus used for the prevention of deep vein thrombosis of lower extremity in third-class hospitals than in second-class hospitals [portable ventilator: 86.7% (26/30) vs. 59.6% (28/47), 43.3% (13/30) vs. 1.5% (1/66), 14.3% (4/28) vs. 0% (0/65), 10.7% (3/28) vs. 0% (0/65), 62.5% (20/32) vs. 37.3% (25/67), 97.1% (33/34) vs. 63.6% (42/66), 60.6% (20/33) vs. 28.4% (19/67), 17.2% (5/29) vs. 0% (0/65), 27.6% (8/29) vs. 1.5% (1/65), 77.4% (24/31) vs. 52.3% (34/65), respectively, all P < 0.05]. In terms of skills development, there were more ICUs carried out intracranial pressure monitoring, abdominal pressure monitoring, ultrasound diagnosis, bronchoscope examination and treatment and blood purification in third-class hospitals than in second-class hospitals [31.6% (12/38) vs. 14.7% (11/75), 75.7% (28/37) vs. 38.6% (27/70), 61.5% (24/39) vs. 24.3% (18/74), 89.7% (35/39) vs. 45.9% (34/74), 92.3% (36/39) vs. 48.6% (36/74), respectively, all P < 0.05]. The data were mainly derived from public general hospitals in Guizhou Province. Compared with the ICUs of second-class hospitals, the ICUs of third-class hospitals were founded earlier and larger, had better hardware configuration and could carry out more skills. However, the human resource situations were similar between second-class hospitals and third-class hospitals. Both second-class hospitals and third-class hospitals have a need to improve the allocation of manpower and equipment and expand various skills in ICUs, while it is more urgent for second-class hospitals.

At the deep end: COVID-19 experiences of Zimbabwean health and care workers in the United Kingdom

Background and objectivesBlack, Asian and Minority Ethnic groups (BAME) in the UK were disproportionately affected by the first phase of COVID-19 in terms of exposure, negative health and socio-economic impacts and consequences including recorded deaths. However, aggregate categories like BAME mask internal diversities and differences and limit the scope for understanding why disproportionalities occur and appropriate interventions. This paper responds to calls for disaggregated and in-depth participatory community based research to improve culturally nuanced understanding of health inequalities and COVID-19 impacts. MethodsThe paper draws from weekly zoom discussions and data from a google-forms on-line survey (n = 103) that the Zimbabwean community conducted to establish and examine COVID-19 experiences of Zimbabwean health and care workers in the UK. Our interpretive approach used MAXQDA software for qualitative data analysis; to code and categorise responses to open ended survey questions. Results and discussionsDiscursive analysis of this community data shows that health and social care worker experiences included recurrent and widely reported themes such as discrimination in allocation of equipment, moral injury and trauma that may lead to long- term mental health problems. These results confirm diversity of experiences amongst health care professionals when compared to other ethnic groups and by gender. They reinforce the case for monitoring, for after care research and support, including that which draws on community-based capital.

Designing an Educational Effectiveness Model for the Employees of the Selected Organization with a System Dynamics Approach

This model has been composed of indicators that are the core and heart of this model and are the basis for evaluating the educational effectiveness, which are called effective factors. The educational effectiveness model for the employees of the selected organization with a system dynamics approach has 7 main factors: learner's readiness, training need assessment, training targeting, training program design, resources and equipment allocation, course monitoring and evaluation and training course management, which includes 56 indicators composing it.

Research on Equipment Optimization Configuration Method of Distributed Integrated Energy System Considering Reliability

In order to meet the requirements of economy and reliability, based on the traditional optimization method of equipment allocation only aiming at the optimization of economy, this paper selects two points of integrated demand response and distributed integrated energy system reliability evaluation to participate in the construction of DIES equipment optimization configuration model.

An optimised steelmaking-continuous casting scheduling simulation system with unity 3D

This work considers the transportation time involved in ladle allocation during the steelmaking-continuous casting production. The optimisation problem of equipment allocation is presented, the optimal production sequence is determined and a schedule for charges is determined. In order to ensure that the operation time and the energy consumption are minimised, a solution methodology combining heuristic algorithm and conflict elimination algorithm is developed. The simulation experiment based on actual production data shows that this methodology can effectively solve the steelmaking and continuous casting scheduling problem. To validate the scheduling plan more intuitively and modify it further, we present an optimisation system based on unity 3D simulation platform. The system can effectively evaluate the optimisation of the solution and adjust the related data to modify the scheduling plan and ultimately get a reasonable rescheduling plan.

Stochastic Geometry-Based Model for Dynamic Allocation of Metering Equipment in Spatio-Temporal Expanding Power Grids

With smart grids replacing conventional power grids and rapidly expanding in both space and time, ensuring an acceptable system observability becomes a challenge in spatio-temporal expanding power grids. In addition, system operators face another challenge, namely, financial budget constraints. To address these challenges, a metering equipment allocation strategy for monitoring of the power grid state needs to be dynamic in both space and time. Unfortunately, existing metering allocation strategies are quite limited. They usually deal with static power grid topologies, and hence, do not reflect the spatio-temporal expansion of the power grid. In this paper, a spatio-temporal power grid model is proposed based on stochastic geometry, which we show that it is in a good match with real-world power grids. The proposed model enables us to carry out tractable dynamic allocation of metering equipment in a large (city-wide) and structurally evolving power grid. Using the developed model, a multi-year algorithm for the allocation of metering equipment is proposed based on finite horizon dynamic programming, given budgetary and technical constraints on system observability. Several case studies for metering allocation are demonstrated through simulation results.

Research and Application on Design of Underground Container Logistics System Based on Autonomous Container Truck

In this paper, a kind of underground passage automated freight transport system based on the autonomous dual-mode container truck is proposed, and the overall structure of the automated freight transport system, the allocation of the transportation equipment, the comprehensive design of underground passage, the comprehensive analysis of transportation organization, the reasonable layout of the freight transport terminal, and the design of connection with the overall operation of the port are studied. Taking the connection passage between the central operation area and the eastern operation area of Yantian Port under planning and construction as an example, this paper expounds the application of the underground automatic freight transport system design method in the underground container logistics system within the port area. Based on the current situation and the long-term planning requirements of Yantian Port, the overall route of the connection passage between the central operation area and the eastern operation area is studied; the dual mode transportation organization model based on the combination of autonomous driving and manned driving is designed, and the manned driving mode shall be adopted within the operation area. In the connecting tunnel, there is the interference-free, fully-enclosed, line-fixed, and no man’s land application scenario, and the autonomous driving mode shall be adopted. The corresponding ground switching area is proposed to match the dual-mode transportation system of the autonomous dual-mode truck; such switching area is composed of the mode switching area, truck storage area, and driver rest and management room. Compared with the traditional tunnels, the autonomous freight transport passage has obvious advantages in saving project cost and improving transport efficiency.

Survey on current status of type 2 diabetes management in Nanjing at grassroots level

From September to October 2018, a questionnaire survey was conducted on the status of diabetes management, basic equipment allocation, complication screening and follow-up, basic drug supply and health education among 136 grassroots institutions in Nanjing. Doctors in the 136 grassroots institutions who had received diabetes specialist training accounted for 18.2% (358/1 968) of total general practitioners. The management rate of diabetes patients was 98.67% (196 352/199 000) , and the standard management rate was 88.63%(174 024/196 352).The screening and follow-up rates of diabetic complications were 89.0%(121/136) and 61.2%(74/121) for glycosylated hemoglobin; 64.7%(88/136), 58.0%(51/88) for urine microalbumin;51.5% (70/136), 62.9%(44/70) for diabetic foot; 44.9%(61/136), 42.6%(26/61) carotid ultrasonography; 32.4%(44/136) and 59.1%(26/44) for fundus examination; 17.6%(24/136) and 33.3%(8/24) for ankle brachial index. The rates of screening for glycosylated hemoglobin, urinary microalbumin, diabetic foot, carotid B ultrasound, fundus and ankle brachial index in urban areas were significantly higher than those in the suburbs (both P<0.05). The diabetes health education was regularly conducted in 92.0%(126/136) of grassroots institutions. At present, the grassroots institutions in Nanjing have established health archives for most diabetic patients and conducted health education regularly, but the professional training and the screening of diabetic complications need to be strengthened. Key words: Community health services; Diabetic mellitus, type 2; Questionnaires

Incorporating geological and equipment performance uncertainty while optimising short-term mine production schedules

ABSTRACTShort-term production scheduling in open pit mining consists of defining the extraction sequence and process allocation of mineralised material over time-scales of either months, weeks, or days. An effective short-term production schedule ensures compliance with the production targets and restrictions imposed by the long-term plan. The method proposed herein outlines a new approach to simultaneously optimise the short-term production sequence with the mobile equipment allocation plan while incorporating both material grade and equipment performance uncertainty. A new simulation methodology is introduced to generate more realistic equipment performance scenarios, as well as a new concept of including ramp positions in the formulation to efficiently facilitate minable extraction patterns. This short-term model is bench-marked against a conventional design at one of the largest copper mines in the world, and the results show improved production target compliance by delivering more consistent ore quantity and quality to each processing destination, and a physical extraction sequence that has a greater likelihood of being realised in the face of equipment performance and truck cycle time uncertainty.

Integration of Facility Location and Equipment Allocation in Health Care Management

Goal: This study aims at solving a location problem of Medical Specialties Centers (MSCs) and medical care equipment allocation. Addressing both problems simultaneously is an opportunity to improve public health service quality in the long-term since the literature traditionally treats these problems separately.&#x0D; Design / Methodology / Approach: The challenge consists in maximizing demand satisfaction with the minimum resource allocation in the public health care reality, where there is limited resource availability and high demand for medical services. For that, it was developed an integrated mathematical model, throughout mixed linear programming. The problem is a case study applied to the secondary public health care level in a Brazilian state. The method is generic and suitable to set the location and allocate resources in health care if the decision maker’s intention is to maximize the use of specialists’ assistance and medical exams.&#x0D; Results: The results reveal possible improvements in accessibility. Among the insights, the state government should hire 4% more specialists and acquire 1.5% more equipment to assist 99% of population demand for health care service on the secondary level. &#x0D; Limitation of the investigation: Usually, one appointment can result in more than one medical exam referral. However, this study considers that each specialist meeting refers to only one exam per consultation. &#x0D; Practical implications: This study contributes to healthcare planning, suggesting a better distribution and allocation of facilities, equipment, and professionals. Moreover, the study proposes accessibility improvements to health unit centers.&#x0D; Originality / Value: The main contribution of this work is the new integrated approach to public health care planning. The system proposes the reduction of access inequality and the improvement of the quality of health care services.

Analysis of current status of in eye community based nurse-led clinics

Objective To explore the advantages and disadvantages of a new management model of eye community based nurse-led clinics. Methods From March 2016 to March 2018, a community clinic of a tertiary eye hospital, Qingdao Eye Hospital was analyzed. The situation of staff and equipment allocation and adjustment in the Clinic during the two years was also reviewed. Results A total of 17042 patients were admitted to the community clinic of a tertiary eye hospital in the past two years, among whom 44.9% were over 65 years old. Ocular surface diseases (34.4%, 5862), cataracts (31.6%, 5382), and refractive errors (17.2%, 2928) were the top three causes of patient visits. The waiting time for NLC patients was 1~114 (8.5±8.5) min, and the waiting time for outpatients in the main hospital area was 32.0~61.0 (42.4±7.1) min. The difference was statistically significant (Z=-135.172, P<0.01). The per capita cost of NLC patients was ¥ 4.0~153.2 (64.9±22.0), and the per capita cost of outpatients in the main hospital area was ¥ 110.0~586.9 (291.0±160.0), the difference was statistically significant (Z=-136.531, P<0.01). NLC scored higher than the main hospital area in consultation, timeliness and convenience of the disease(Z=-7.278, -7.462, -12.677, P<0.01), and was lower than the main hospital in the disease-solving project (Z=-3.188, P<0.01). Conclusion The NLC model is a new management model that can meet the needs of community clinics and also is a new challenge for nursing staff under the health care reform. Key words: Nurses; Community health services; Clinics

Assessment and analysis for deployment appropriateness of medical linear accelerator at hospitals in China

Objective To analyze the deployment of medical linear accelerators at 26 hospitals in China, and suggest on the deployment of such accelerators. Methods From June 2017 to November 2018, a total of 26 hospitals were surveyed by stratified random sampling.Descriptive analysis of the deployment and staffing of medical linear accelerators at 26 hospitals, and the deployment appropriateness of the medical linear accelerator was evaluated using the TOPSIS method. Results The number of medical linear accelerators in different types of hospitals was significantly different.The proportion of imported equipment at tertiary hospitals was 80%(12/15) and the proportion of imported equipment at secondary hospitals was 9%(1/11). The professional staff was deployed basically reasonable, and there was a shortage of physicists at some hospitals.The suitability of medical linear accelerators at tertiary hospitals was better than that of secondary hospitals, 80%(12/15) of tertiary hospitals received good and above ratings, while 91%(10/11) of the secondary hospitals received general and below ratings. Conclusions Hospitals should carry out the allocation of large-scale medical equipment based on their own situations and requirements.Efforts should be paid on training of professional technicians for radiotherapy.It is important to strengthen the management of planning, access and supervision of medical equipment. Key words: Hospitals; Medical linear accelerator; Deployment; Appropriateness

Detailed Study on Critical Delay Factors Affecting the Construction Industry

The Construction industry of India is an important indicator of the growth as it generates investment opportunities across various related sectors. Delay in construction projects is considered one of the most common problems causing a multitude of negative effects on the construction projects. Construction delays can be defined as the late completion of work compared to the planned schedule or contract schedule. Construction delays can be minimized only when their cause are identified. The objective of this study was to identify the major causes of construction delays. In this context the management of the delay may influence the financial performance of the project, since the overall value of contractual penalties may exceed ten percentage or more than that of the project budget.&#x0D; This study was carried out based on literature review and a questionnaire survey. The data for this study will be gathering through a detailed questionnaire survey. The questionnaire consists of total factors of seventeen group were contributed to the causes of construction delay based on literature review. In that seventeen groups have been consist of total 50 factors for delay. The questionnaire form is forwarded to various construction industries through email and in personal. The objectives of the study were successfully achieved. The top five most important factors that contributed to the causes of delays were Delay in financial support by owner to the contractor (Stage by stage payment), Design errors made by designers due to unfamiliarity with local conditions &amp; environment, Equipment allocation problem, Poor site management &amp; Inaccurate site investigation, Fluctuation of prices. To minimize delay in construction projects it has been identified that the top three effective methods of minimizing construction delays includes: site management and supervision, effective strategic planning, and clear information and communication channels.

Applications of GIS for Bridges Maintenance Service

AThe Bridge Maintenance Management System (BMMS) is an application system that uses existing data from a Bridge Management System database for monitoring and analysis of current bridges performance, as well as for estimating the current and future maintenance and rehabilitation needs of the bridges. In a transportation context, the maintenance management is described as a cost-effective process to operate, construct, and maintain physical money. This needs analytical tools to support the allocation of resources, materials, equipment, including personnel, and supplies. Therefore, Geographic Information System (GIS) can be considered as one tool to develop the road and bridge maintenance management system.This research aims to use GIS to create a database for bridge maintenance system. Two study areas have been chosen: the old construction bridge (Al-Qadisiyah) and the newly constructed bridge (Barboty). Both of them are in Al-Muthanna city\\Iraq. The creation of database was based on field surveying data. In order to monitor the damages and decline of the bridges, four periodically observations have been achieved. The first analysis of the observations was conducted by graphical analysis which gave the results between all the observations. The second part of analysis included the process of documenting the cracks observed in both study areas via hyperlink tool. This tool can display each of the bridge cracks in the form of window that contains full information for each crack such as, photo of the crack, station number of the crack, coordinates of the crack, type of crack, the crack description, and risk levels of the crack. This information may help to save cost, time and effort to decision makers in the relevant institutions.