The use of discrete event simulation in hospital supply chain management

Kammoun, Amira; Loukil, Taïcir; Hachicha, Wafik

doi:10.1109/icadlt.2014.6864108

Cited by 6 publications

(7 citation statements)

References 30 publications

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“…emergency departments). For example, reviews by Günal et al [20] and Kammoun et al [32] look only at studies using DES; Atkinson et al [34] look at SD; Lakshmi et al [31] look at queueing models, while the rest of the reviews do not restrict by specific techniques i.e. they consider all simulation modelling techniques.…”

Section: -2013 21mentioning

confidence: 99%

Simulation Modelling in Healthcare: An Umbrella Review of Systematic Literature Reviews

et al. 2017

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BACKGROUND: Numerous studies examine simulation modelling in healthcare. These studies present a bewildering array of simulation techniques and applications, making it challenging to characterise the literature. OBJECTIVE: The aim of this paper is to provides an overview of the level of activity of simulation modelling in healthcare and the key themes. METHODS: Umbrella review of systematic literature reviews of simulation modelling in healthcare. Searches were conducted of academic databases (JSTOR, SCOPUS, PUBMED, IEEE, SAGE, ACM, Wiley Online Library, Science Direct) and grey literature sources, enhanced by citation searches. The articles were included if they performed a systematic review of simulation modelling techniques in health care. After quality assessment of all included articles, data was extracted on numbers of studies included in each review, types of applications, techniques used for simulation modelling, data sources and simulation software. RESULTS:The search strategy yielded a total of 117 potential articles. Following sifting, 37 heterogeneous reviews were included. Most reviews achieved moderate quality rating on a modified AMSTAR checklist. All the review articles described the types of applications used for simulation modelling; 15 reviews described techniques used for simulation modelling; 3 reviews described data sources used for simulation modelling; and 6 reviews described software used for simulation modelling. The remaining reviews either did not report or did not provide enough detail for the data to be extracted. CONCLUSION: Simulation modelling techniques have been used for a wide range of applications in healthcare, with a variety of software tools and data sources. The number of reviews published in the recent years suggest an increased interest for simulation modelling in healthcare. (263 words)

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Section: -2013 21mentioning

confidence: 99%

Simulation Modelling in Healthcare: An Umbrella Review of Systematic Literature Reviews

et al. 2017

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“…The results obtained shall be useful to researchers as well as top managers of any pharmaceutical-oriented organizations to implement VSM as a tool to decrease waste and also understand the capability of VSM's improvement opportunities on non-conventional production environments when it is integrated with sophisticated technique such as DES. Dynamic DES can generate resource requirements and statistical performance and still prove flexible to specific organizational details (Kammoun et al, 2014). The information provided by this simulation can help the management to compare the expected performance of the lean system relative to the existing system it has been designed to replace, providing a convincing basis for the lean application.…”

Section: Discussionmentioning

confidence: 99%

Supply chain lead time reduction in a pharmaceutical production warehouse – a case study

Abideen

Mohamad

2020

IJPHM

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Purpose The purpose of this study is to apply value stream mapping (VSM) in Malaysian pharmaceutical production warehouse. A current and future state value stream map from the raw material receiving end to the production unit was developed to find out waste and unwanted lead time. It was very much essential to cut down the supply chain lead time at the initial phase as the raw material unloading, sorting, temporary storage and dispatch to production were seen contributing to a huge lead time build-up. Design/methodology/approach The study was initiated with the selection of a product family, construction of the current state map, identification of various wastes and the development of future state map. Findings The expected outcomes of the study include the quantification of wastes, improvement in value-added percentage and lead time reduction. Research limitations/implications The study was carried out in a single pharmaceutical company. The results of the study are deployable and can be functional in similar production organizations. Contrary to common VSMs that capture core production processes, this study provides strong insights that shall help design lean supply chains, especially in the pharmaceutical domain. This paper has also addressed the viability of the lean in the pharmaceutical warehouse and the reduction in lead time to improve demand forecasting, marketing and sales. Practical implications The results of this study have indicated that a significant reduction in pharmaceutical warehouse supply chain lead time is possible as a result of the implementation of VSM from the supply chain’s perspective. Social implications The insights from this study help in understanding the pharmaceutical supply chain risks and their outcomes. Originality/value The paper reports a real-time study conducted in a warehouse of a pharmaceutical organization. Hence, the contributions are original.

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“…Health services using the DES model have received considerable attention [27]. However, efforts to review and analyze previous studies have been limited due to various factors.…”

Section: Plos Onementioning

confidence: 99%

“…Additionally, DES allows for a detailed analysis of the interactions between different departments within a healthcare facility, providing valuable insights into the functioning of the facility. For existing research, using DES to manage healthcare supply chains has long been a source of great interest [27]. The DES technique entails simulating a system's evolution using a representation in which system state variables change instantly at discrete points in time [28].…”

Section: Introductionmentioning

confidence: 99%

Enhancement of Intra-hospital patient transfer in medical center hospital using discrete event system simulation

2023

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The intra-hospital transfer of critically ill patients are associated with complications at up to 70%. Numerous issues can be avoided with optimal pre-transport planning and communication. Simulation models have been demonstrated to be an effective method for modeling processes and enhancing on-time service and queue management. Discrete-event simulation (DES) models are acceptable for general hospital systems with increased variability. Herein, they are used to improve service effectiveness. A prospective observational study was conducted on 13 official day patient transfers, resulting in a total of 827 active patient transfers. Patient flow was simulated using discrete-event simulation (DES) to accurately and precisely represent real-world systems and act accordingly. Several patient transfer criteria were examined to create a more realistic simulation of patient flow. Waiting times were also measured to assess the efficiency of the patient transfer process. A simulation was conducted to identify 20 scenarios in order to discover the optimal scenario in which where the number of requests (stretchers or wheelchairs) was increased, while the number of staff was decreased to determine mean waiting times and confidence intervals. The most effective approach for decreasing waiting times involved prioritizing patients with the most severe symptoms. After a transfer process was completed, staff attended to the next transfer process without returning to base. Results show that the average waiting time was reduced by 21.78% which is significantly important for emergency cases. A significant difference was recorded between typical and recommended patient transfer processes when the number of requests increased. To decrease waiting times, the patient transfer procedure should be modified according to our proposed DES model, which can be used to analyze and design queue management systems that achieve optimal waiting times.

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The use of discrete event simulation in hospital supply chain management

Cited by 6 publications

References 30 publications

Simulation Modelling in Healthcare: An Umbrella Review of Systematic Literature Reviews

Simulation Modelling in Healthcare: An Umbrella Review of Systematic Literature Reviews

Supply chain lead time reduction in a pharmaceutical production warehouse – a case study

Enhancement of Intra-hospital patient transfer in medical center hospital using discrete event system simulation

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