Pharmacy duty scheduling problem

Özpeynirci, Özgür; Aglamaz, Ebru

doi:10.1111/itor.12204

Cited by 7 publications

(3 citation statements)

References 51 publications

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“…However, a decentralized planning is usually less efficient compared to a holistic approach, as the out-of-hours plan is not synchronized across the different local districts. In [ 7 – 9 ], the problem of synchronizing the rotations within the given districts in order to optimize the coverage of residents is considered. A downside of this approach is that the practicability of the resulting plan depends on the given division into local districts.…”

Section: Case Studiesmentioning

confidence: 99%

“…However, the authors in [ 6 ] do not propose a decision-supporting tool and the focus of the presented model is more locally. Related work on planning of out-of-hours services for pharmacies can be found in [ 7 – 9 ], where the scheduling of duties in Turkey is considered. However, the modeling approach used there does not fit the needs of our practice partners, as elaborated in the corresponding “ Case description ” section.…”

Section: Introductionmentioning

confidence: 99%

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Decision-support systems for ambulatory care, including pandemic requirements: using mathematically optimized solutions

Leithäuser

Adelhütte²,

Braun³

et al. 2022

BMC Med Inform Decis Mak

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Background The healthcare sector poses many strategic, tactic and operational planning questions. Due to the historically grown structures, planning is often locally confined and much optimization potential is foregone. Methods We implemented optimized decision-support systems for ambulatory care for four different real-world case studies that cover a variety of aspects in terms of planning scope and decision support tools. All are based on interactive cartographic representations and are being developed in cooperation with domain experts. The planning problems that we present are the problem of positioning centers for vaccination against Covid-19 (strategical) and emergency doctors (strategical/tactical), the out-of-hours pharmacy planning problem (tactical), and the route planning of patient transport services (operational). For each problem, we describe the planning question, give an overview of the mathematical model and present the implemented decision support application. Results Mathematical optimization can be used to model and solve these planning problems. However, in order to convince decision-makers of an alternative solution structure, mathematical solutions must be comprehensible and tangible. Appealing and interactive decision-support tools can be used in practice to convince public health experts of the benefits of an alternative solution. The more strategic the problem and the less sensitive the data, the easier it is to put a tool into practice. Conclusions Exploring solutions interactively is rarely supported in existing planning tools. However, in order to bring new innovative tools into productive use, many hurdles must be overcome.

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Section: Case Studiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Decision-support systems for ambulatory care, including pandemic requirements: using mathematically optimized solutions

Leithäuser

Adelhütte²,

Braun³

et al. 2022

BMC Med Inform Decis Mak

View full text Add to dashboard Cite

show abstract

“…Solution-oriented studies focus on computing acceptable solutions with heuristic methods in cases where exact solution methods to large-scale PDS problems are inoperative. Variable Neighborhood Search Algorithm (Kocatürk & Özpeynirci, 2014), Tabu Search Algorithm (Özpeynirci & Ağlamaz, 2016), Branch and Price Algorithm (Ceyhan & Özpeynirci, 2016) are recommended methods in the literature for largescale PDS problems.…”

Section: Introductionmentioning

confidence: 99%

Pharmacy Duty Scheduling Problem: Gumushane Case

Şimşek

Merdane

Belindir

et al. 2021

Alphanumeric Journal

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In the Turkish Healthcare System, pharmacies are an important echelon of the drug supply chain. The pharmacy on duty practice ensures that the demand for drugs and similar medical supplies is met 24/7. The duty pharmacy scheduling problem aims to satisfy the customers and the pharmacists without violating the regulations while determining the duty sequence of the pharmacies in a certain planning period. This study handles the duty pharmacy scheduling problem of Gümüşhane City Center where 13 pharmacies operate. In the current system, the representative pharmacist prepares the duty schedule manually. The planning period is divided into subsets, and pharmacies are assigned to the duties in each subset respectively in such the number of duties of each pharmacy in the subsets is as equal as possible. The managerial problem of the case is that the duty frequency of each pharmacy is variable in the manual schedule and pharmacists perceive this as an unfairness. Because pharmacists expect to be on duty 1 in 13 days. We propose a mathematical model that adopts the fixed duty frequency and the inheritance of duty distribution. We test the model according to the 2020 calendar and compare model results with the real duty schedule belong to 2020 using the 2019 distribution of pharmacies. The comparison and test results show that the duties are distributed as fairly as possible and the turn of each pharmacy is repeated once every 13 days. The contribution of this study is that it introduces innovative components to the pharmacy duty scheduling problem, offers practical policy recommendations, and provides a casespecific example to limited PDS literature.

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Application of an improved discrete crow search algorithm with local search and elitism on a humanitarian relief case

Eligüzel

Özceylan

2021

Artif Intell Rev

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Pharmacy duty scheduling problem

Cited by 7 publications

References 51 publications

Decision-support systems for ambulatory care, including pandemic requirements: using mathematically optimized solutions

Decision-support systems for ambulatory care, including pandemic requirements: using mathematically optimized solutions

Pharmacy Duty Scheduling Problem: Gumushane Case

Application of an improved discrete crow search algorithm with local search and elitism on a humanitarian relief case

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