2019 Industrial & Systems Engineering Conference (ISEC)最新文献

A Meta-Heuristic Algorithm Based on Simulated Annealing for Designing Multi-Objective Supply Chain Systems 基于模拟退火的多目标供应链系统设计元启发式算法

2019 Industrial & Systems Engineering Conference (ISEC) Pub Date : 2019-01-01 DOI: 10.1109/IASEC.2019.8686517

Awsan Mohammed, S. Duffuaa

引用次数: 1

Optimum Inventory Control and Warehouse Selection with a Time-Dependent Selling Price 具有时变销售价格的最优库存控制和仓库选择

2019 Industrial & Systems Engineering Conference (ISEC) Pub Date : 2019-01-01 DOI: 10.1109/IASEC.2019.8686631

I. Alturki, Hesham K. Alfares

{"title":"Optimum Inventory Control and Warehouse Selection with a Time-Dependent Selling Price","authors":"I. Alturki, Hesham K. Alfares","doi":"10.1109/IASEC.2019.8686631","DOIUrl":"https://doi.org/10.1109/IASEC.2019.8686631","url":null,"abstract":"In land-scarce regions, land acquisition and upkeep are becoming more and more expensive as time passes, mainly due to population growth. This eventually will lead most small business owners to rethink their supply chain business models by abandoning owning and running their own warehouses and switching to more lean, flexible, and inexpensive alternatives. In this paper, we consider the alternative of leasing warehouses at the exact required storage capacity. This alternative is analyzed using a mathematical model and a solution algorithm that will help business owners make optimal decisions. The model considers all the available warehousing options, with differing capacities, lease rates, and lease durations for different types of warehouses. The holding cost depends on the number of warehouses leased of each type and their individual lease durations. Since the value of the stored items declines with time, the selling price is assumed to be a linearly decreasing function of the storage duration. The optimization problem is formulated as a nonlinear programing (NLP) model whose objective is to maximize the total profit. An efficient algorithm is proposed that reduces NLP model's nonlinearity to a linear behavior through a combination of neighborhood search and integer programming procedures.","PeriodicalId":198017,"journal":{"name":"2019 Industrial & Systems Engineering Conference (ISEC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123341514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

A Pilot Study of Biomedical Engineering Shared Service for Hospitals in Madinah Munawwarah 麦地那穆纳瓦拉医院生物医学工程共享服务试点研究

2019 Industrial & Systems Engineering Conference (ISEC) Pub Date : 2019-01-01 DOI: 10.1109/IASEC.2019.8686587

A. Alkhateeb, Fahad A. Sahhari, M. Hussain

{"title":"A Pilot Study of Biomedical Engineering Shared Service for Hospitals in Madinah Munawwarah","authors":"A. Alkhateeb, Fahad A. Sahhari, M. Hussain","doi":"10.1109/IASEC.2019.8686587","DOIUrl":"https://doi.org/10.1109/IASEC.2019.8686587","url":null,"abstract":"Ministry of Health in the Kingdom of Saudi Arabia manages the biomedical departments in its affiliated hospitals by contracting with suppliers/manufacturers. We collected data related to the number of relevant work force and the expenses incurred by surveying nine hospitals in Madinah Munawwarah region of the kingdom by designing a proper questionnaire. We found it to manage in two ways (a) having low qualified team members to serve less sophisticated medical equipment, and (b) outsourcing the needed service to repair or do preventive maintenance especially for high-tech medical devices. This common and traditional way of biomedical management costs a lot of money and consumes long time to repair the faulty medical units. In order to minimize the repair cost and time, here we propose a model of management techniques that falls in a category popularly dubbed as Shared Service Center (SSC). As per the SSC model presented in this study the staff's salaries are projected to be increased by 13.5% but a huge savings of up to 62.21% on staff's salaries and Planned Preventive Maintenance (PPM) cost are estimated as compared to the current situation. A big 81.47% saving as compared to present total service contracts value is predicted with the proposed SSC model. The result is consistent with Saudi Arabia's Vision 2030 and the National Transformation Program 2020 to improve the quality of health services and efficiency of using available resources.","PeriodicalId":198017,"journal":{"name":"2019 Industrial & Systems Engineering Conference (ISEC)","volume":"204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127403705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Healthcare Facility Variables Important to Biomedical Staffing in Line with 2030 Saudi Vision 根据沙特2030年愿景，对生物医学人员配备重要的医疗设施变量

2019 Industrial & Systems Engineering Conference (ISEC) Pub Date : 2019-01-01 DOI: 10.1109/IASEC.2019.8686616

A. Alkhateeb, Jumaan M. AlAmri, M. Hussain

{"title":"Healthcare Facility Variables Important to Biomedical Staffing in Line with 2030 Saudi Vision","authors":"A. Alkhateeb, Jumaan M. AlAmri, M. Hussain","doi":"10.1109/IASEC.2019.8686616","DOIUrl":"https://doi.org/10.1109/IASEC.2019.8686616","url":null,"abstract":"The biomedical engineering departments (BMD) in healthcare facilities in Saudi Arabia play important roles in promoting health services by managing medical technology. Nevertheless, it is challenging to assess the number of needed cadres in BMD. This study is first of its kind that included at least 10% of the major healthcare facilities (HCF) in the Kingdom of Saudi Arabia with a capacity of 100 beds or more to estimate the details of the personnel required for BMD and determine the factors affecting the number of BMD staffs. The most influencing factors found included (i) HCF total beds ($mathbf{r}=0.84$), (ii) HCF gross area ($mathbf{r}=0.92$), (iii) HCF total staff ($mathbf{r}=0.90$), (iv) total number of medical devices ($mathbf{r}=0.92$), (v) total cost of medical devices or technology ($mathbf{r}=0.95$) and (vi) BMD activities and roles ($mathbf{r}=0.70$). Mean values of these variables per BMD staff were found as 23 bed, 148 hospital employee, 2,520 square meter hospital area, 282 medical devices, and $2.84 million acquisition cost of medical device. Interestingly, the designed BMD activity form showed a reasonable linear correlation with BMD staff ($mathbf{r}=0.70$). Regarding the staffing adequacy status, the survey analysis showed 45% of BMDs to have under staffing and only 7% to have overstaffing status. In order to address and provide a credible solution to BMD staffing problem a heuristic formula was developed as a second part of our study (results not shown). Further testing of this model on a wide range of healthcare facilities to improve on the applicability and reliability is in progress.","PeriodicalId":198017,"journal":{"name":"2019 Industrial & Systems Engineering Conference (ISEC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122272375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Industrial Communication Networks and the Future of Industrial Automation 工业通信网络与工业自动化的未来

2019 Industrial & Systems Engineering Conference (ISEC) Pub Date : 2019-01-01 DOI: 10.1109/IASEC.2019.8686664

B. Kada, Ahmed A. Alzubairi, Abdullah Tameem

引用次数: 4

A Frame Work for the Integration of Statistical Process Control and Engineering Process Control 统计过程控制与工程过程控制集成的框架

2019 Industrial & Systems Engineering Conference (ISEC) Pub Date : 2019-01-01 DOI: 10.1109/IASEC.2019.8686557

A. Saif

引用次数: 6

Optimal Project Completion Time, a Multi-Objective Model and Monte Carlo Simulation-Optimization Solution 项目最优完成时间、多目标模型及蒙特卡罗仿真优化解

2019 Industrial & Systems Engineering Conference (ISEC) Pub Date : 1900-01-01 DOI: 10.1109/IASEC.2019.8686536

M. Aldurgam

引用次数: 0

Applying Lean Concepts in the Quality Control Systems of Engineering Education — A Case Study 精益概念在工程教育质量控制系统中的应用-个案研究

2019 Industrial & Systems Engineering Conference (ISEC) Pub Date : 1900-01-01 DOI: 10.1109/IASEC.2019.8686676

H. Shafeek

引用次数: 3

Analysis of Factors Affecting Water Consumption in Jeddah City 吉达市用水量影响因素分析

2019 Industrial & Systems Engineering Conference (ISEC) Pub Date : 1900-01-01 DOI: 10.1109/IASEC.2019.8686495

Hamed A. Wardak, Seraj Yousef Abed

引用次数: 1

Advances in Control Charts for Reliability 可靠性控制图研究进展

2019 Industrial & Systems Engineering Conference (ISEC) Pub Date : 1900-01-01 DOI: 10.1109/IASEC.2019.8686608

H. Soltan

引用次数: 4