کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5104460 | 1481006 | 2016 | 26 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Signed social structure optimization for shift assignment in the nurse scheduling problem
ترجمه فارسی عنوان
بهینه سازی ساختار اجتماعی امضا شده برای تخصیص تغییر در مشکل زمان بندی پرستار
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کلمات کلیدی
تشکیل تیم برنامه ریزی پرستار، تخصیص تغییر، شبکه های اجتماعی امضا شده بهینه سازی گسسته،
موضوعات مرتبط
علوم انسانی و اجتماعی
مدیریت، کسب و کار و حسابداری
استراتژی و مدیریت استراتژیک
چکیده انگلیسی
This paper develops a mathematical framework that relies on modern social network analysis theories for treating the nurse team formation and nurse scheduling (shift assignment) problems, accounting for signed social connections. These problems lie in assigning nurses to teams/shifts such that the constraints regarding both the working regulations and nurses preferences are satisfied. Recent research indicates the dependence of nursing team performance on team social structure; however, so far, the social structure considerations have not been explicitly incorporated into the mathematical formulations of the nurse scheduling problem. The presented framework introduces models that quantitatively exploit such dependence. This paper explores instances of Nurse Team Formation Problem (NTFP) and Nurse Scheduling Problem (NSP) incorporating signed social structure with the measures based on such network structures as edges, full dyads, triplets, k-stars, balanced and unbalanced triangles, etc., in directed, signed networks. The paper presents the integer programming formulations for NTFP and NSP, and a problem-specific heuristic that performs variable-depth neighborhood search to tackle NTFP instances with signed social structures. Computational results for a real-world problem instance with 20 nurses are reported. The insights obtained from the presented framework and future research directions are discussed.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Socio-Economic Planning Sciences - Volume 56, December 2016, Pages 3-13
Journal: Socio-Economic Planning Sciences - Volume 56, December 2016, Pages 3-13
نویسندگان
Alireza Farasat, Alexander G. Nikolaev,