fa بهینه‌سازی زمان‌بندی بخش I.C.U بیماران با در نظر گرفتن محدودیت‌های منابع در شرایط عدم‌قطعیت فازی زمان بهبود تخصصي Special پژوهشي Research <span style="font-size:11pt"><span style="line-height:normal"><span style="page-break-after:avoid"><span style="direction:rtl"><span style="unicode-bidi:embed"><span calibri="" style="font-family:"><span lang="FA" style="font-size:12.0pt"><span b="" style="font-family:" zar=""><span style="layout-grid-mode:line">یکی از کلیدی‌ترین مسایل خدمات بهداشت و درمان، خصوصاً خدمات اورژانسی، مسایل ‌زﻣﺎن‌بندی و توالی عملیات می‌باشند که تاثیرشگرفی در افزایش ‌بهره‌وری سیستم‌های بهداشت و درمان دارند. ﺗﻤﺎیﻞ ﺑﻪ اﺗﺨﺎذ ﺗﺼﻤﯿﻤﺎﺗﯽ ﺑﺎ ﻫﺪف ﮐﻤﯿﻨﻪ ﻧﻤﻮدن زﻣﺎن ﺻﺮفﺷﺪه ﺑﺮای اﻧﺠﺎم فعالیت‌های درمانی، از ﺟﻤﻠﻪ دﻻیﻞ ﻣﻄﺮحﺷﺪن ﻣﺴاﻟﻪﻫﺎی ‌زﻣﺎن‌بندی اﺳﺖ. زﻣﺎن‌بندی ﻣﻨﺎﺳﺐ، ﻫﺰیﻨﻪﻫﺎی مربوطه را در مراکز مختلف بهداشت و درمان ﺗﺎ ﺣﺪ زیﺎدی ﮐﺎﻫﺶ ﻣﯽدﻫﺪ. با توجه به برخی شرایط بحرانی، مهم ترین مساله مطرح در موضوع خدمات درمانی، زمان‌بندی مناسب برای تخصیص منابع خصوصاً بخش مراقبت‌های ویژه (</span></span></span><i><span dir="LTR" style="font-size:12.0pt"><span new="" roman="" style="font-family:" times=""><span style="layout-grid-mode:line">I.C.U</span></span></span></i><span lang="FA" style="font-size:12.0pt"><span b="" style="font-family:" zar=""><span style="layout-grid-mode:line">) به بیماران جهت تکمیل فرایند درمانی بوده و همواره چالش اصلی کلیه بیمارستان‌های تخصیص‌یافته به بیماران بدحال بوده است. در پژوهش حاضر، مدلی جهت زمان‌بندی کارها و برنامه</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="layout-grid-mode:line">‌</span></span><span lang="FA" style="font-size:12.0pt"><span b="" style="font-family:" zar=""><span style="layout-grid-mode:line">ریزی پرسنلی بخش </span></span></span><i><span dir="LTR" style="font-size:12.0pt"><span new="" roman="" style="font-family:" times=""><span style="layout-grid-mode:line">I.C.U</span></span></span></i><span lang="FA" style="font-size:12.0pt"><span b="" style="font-family:" zar=""><span style="layout-grid-mode:line"> با هدف کمینه</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="layout-grid-mode:line">‌</span></span><span lang="FA" style="font-size:12.0pt"><span b="" style="font-family:" zar=""><span style="layout-grid-mode:line">سازی زمان‌بندی انجام کار، بیشینه کردن سود حاصل از تعداد بیماران خدمات‌رسانی</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="layout-grid-mode:line">‌</span></span><span lang="FA" style="font-size:12.0pt"><span b="" style="font-family:" zar=""><span style="layout-grid-mode:line">شده، کمینه‌سازی هزینه‌های استفاده از منابع بیمارستانی و افزایش رضایت بیماران و پرسنل در این مراکز ارایه شده است. از طرف دیگر، فرآیند سودآوری بیمارستان‌ها از بخش </span></span></span><i><span dir="LTR" style="font-size:12.0pt"><span new="" roman="" style="font-family:" times=""><span style="layout-grid-mode:line">I.C.U</span></span></span></i><span lang="FA" style="font-size:12.0pt"><span b="" style="font-family:" zar=""><span style="layout-grid-mode:line"> (تعداد بیماران درمان شده) نیاز به&nbsp; برنامه‌ریزی و زمان‌بندی مناسب فعالیت‌های درمانی تحت عدم‌قطعیت کارها قرار دارد و استفاده از منطق فازی یکی از رویکرد‌های جدید در کنترل این عدم‌قطعیت‌ها است. نتایج به‌دست آمده از زمان‌بندی و برنامه‌ریزی فعالیت‌های اجرایی قبل و بعد اتاق عمل در یک مطالعه موردی نشان داد که با به کارگیری رویکرد حل پیشنهادی، تعداد بیماران دریافت</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="layout-grid-mode:line">‌</span></span><span lang="FA" style="font-size:12.0pt"><span b="" style="font-family:" zar=""><span style="layout-grid-mode:line">کننده خدمات به صورت میانگین به میزان 17 درصد افزایش می‌یابند.</span></span></span></span></span></span></span></span></span><br> &nbsp; Due to the sensitivity of patients in the intensive care unit, the most important issue in medical services is the appropriate timing for allocating resources, especially the intensive care unit (I.C.U) to patients to complete the treatment process and has always been the main challenge for all patients in the I.C.U. In this study, a model for scheduling tasks and personnel planning of I.C.U department with the aim of maximizing the profit from the number of patients served in these centers is presented. On the other hand, the process of profitability of hospitals from the I.C.U (number of patients treated) requires proper planning and scheduling of treatment activities under the uncertainty of work and the use of fuzzy logic is one of the new approaches to control these uncertainties. The results of scheduling and planning executive activities before and after attending the I.C.U ward showed that in a case study, the number of patients receiving services increased by an average of 17%. Due to the sensitivity of patients in the intensive care unit, the most important issue in medical services is the appropriate timing for allocating resources, especially the intensive care unit (I.C.U) to patients to complete the treatment process and has always been the main challenge for all patients in the I.C.U. In this study, a model for scheduling tasks and personnel planning of I.C.U department with the aim of maximizing the profit from the number of patients served in these centers is presented. On the other hand, the process of profitability of hospitals from the I.C.U (number of patients treated) requires proper planning and scheduling of treatment activities under the uncertainty of work and the use of fuzzy logic is one of the new approaches to control these uncertainties. The results of scheduling and planning executive activities before and after attending the I.C.U ward showed that in a case study, the number of patients receiving services increased by an average of 17%.Due to the sensitivity of patients in the intensive care unit, the most important issue in medical services is the appropriate timing for allocating resources, especially the intensive care unit (I.C.U) to patients to complete the treatment process and has always been the main challenge for all patients in the I.C.U. In this study, a model for scheduling tasks and personnel planning of I.C.U department with the aim of maximizing the profit from the number of patients served in these centers is presented. On the other hand, the process of profitability of hospitals from the I.C.U (number of patients treated) requires proper planning and scheduling of treatment activities under the uncertainty of work and the use of fuzzy logic is one of the new approaches to control these uncertainties. The results of scheduling and planning executive activities before and after attending the I.C.U ward showed that in a case study, the number of patients receiving services increased by an average of 17%. برنامه‌ریزی و زمان‌بندی بخش مراقبت‌های ویژه, تخصیص منابع بیمارستانی بخش I.C.U, محدودیت منابع, عدم‌قطعیت فازی Planning and Scheduling the Intensive Care Unit, Allocating Hospital Resources to the I.C.U., Resource Constraints, Fuzzy Uncertainty 69 89 http://jamlu.lahijan.iau.ir/browse.php?a_code=A-11-744-2&slc_lang=fa&sid=1 S. Maleki سارینا ملکی sarinamaleki1398@gmail.com 100319475328460010798 100319475328460010798 No Department of Industrial Engineering , Tehran University, Tehran , Iran مهندسی صنایع، دانشگاه تهران، تهران، ایران D. Shishebori داود شیشه بری shishebori@yazd.ac.ir 100319475328460010799 100319475328460010799 Yes Department of Industrial Engineering , Yazd University, Yazd, Iran گروه مهندسی صنایع، دانشگاه یزد، یزد، ایران