scholarly journals Healthcare’s Sustainable Resource Planning Using Neutrosophic Goal Programming

2022 ◽  
Vol 2022 ◽  
pp. 1-23
Author(s):  
Ibrahim M. Hezam ◽  
Sarah A. H. Taher ◽  
Abdelaziz Foul ◽  
Adel Fahad Alrasheedi
Keyword(s):  
Goal Programming ◽  
Real Data ◽  
Resource Planning ◽  
Healthcare Organization ◽  
Healthcare Staff ◽  
Optimal Plan ◽  
Aspiration Levels ◽  
Annual Planning ◽  
Flexible Models

We develop neutrosophic goal programming models for sustainable resource planning in a healthcare organization. The neutrosophic approach can help examine the imprecise aspiration levels of resources. For deneutrosophication, the neutrosophic value is transformed into three intervals based on the truth, falsity, and indeterminacy-membership functions. Then, a crisp value is derived. Moreover, multi-choice goal programming is also used to get a crisp value. The proposed models seek to draw a strategic plan and long-term vision for a healthcare organization. Accordingly, the specific aims of the proposed flexible models are meant to evaluate hospital service performance and to establish an optimal plan to meet the growing patient needs. As a result, sustainability’s economic and social goals will be achieved so that the total cost would be optimized, patients’ waiting time would be reduced, high-quality services would be offered, and appropriate medical drugs would be provided. The simplicity and feasibility of the proposed models are validated using real data collected from the Al-Amal Center for Oncology, Aden, Yemen. The results obtained indicate the robustness of the proposed models, which would be valuable for planners who could guide healthcare staff in providing the necessary resources for optimal annual planning.

scholarly journals PETA RENCANA (ROADMAP) RISET ENTERPRISE RESOURCE PLANNING (ERP) DENGAN FOKUS RISET PADA USAHA KECIL DAN MENENGAH (UKM) DI INDONESIA

2012 ◽  
Vol 6 (2) ◽  
pp. 140
Author(s):  
Putu Wuri Handayani ◽  
J.W. Saputro ◽  
Achmad Nizar Hidayanto ◽  
Indra Budi
Keyword(s):  
Enterprise Resource Planning ◽  
Business Processes ◽  
Small And Medium Enterprises ◽  
Resource Planning ◽  
Fast Response ◽  
National Data ◽  
Critical Issues ◽  
The Republic ◽  
Medium Enterprises

Usaha Kecil dan Menengah (UKM) di Indonesia telah dapat berkontribusi terhadap PDB (Produk Domestik Bruto) nasional sebesar 55.56% berdasarkan data Biro Perencanaan Kementerian Negara Koperasi dan UKM Republik Indonesia, pada tahun 2008. Untuk memperluas pangsa pasar dan meningkatkan daya saing UKM, UKM membutuhkan suatu aplikasi yang dapat mengintegrasikan dan mengotomatisasi proses bisnis UKM. Aplikasi ERP dapat menjadi salah satu solusi untuk UKM dikarenakan keuntungan yang dapat diberikan seperti memberikan informasi dengan waktu respon yang cepat, meningkatkan interaksi antar bagian dalam suatu organisasi, meningkatkan pengelolaan siklus pemesanan barang, dsb. Beberapa isu kritis yang dihadapi oleh UKM adalah terbatasnya dana dan kapabilitas teknologi informasi yang dimiliki. Dalam memahami kebutuhan layanan yang diperlukan oleh UKM untuk aplikasi ERP dan untuk menyediakan arahan bagi UKM serta menanggapi kurangnya riset ERP di Indonesia maka riset ini bertujuan untuk menggambarkan peta rencana jangka panjang dari agenda riset ERP yang akan dilakukan untuk UKM di Indonesia. Small and Medium Enterprises (SMEs) in Indonesia has been able to contribute to the GDP (Gross Domestic Product) of 55.56% based on national data Planning Bureau of the Ministry of Cooperatives and SMEs of the Republic of Indonesia, in 2008. To expand market share and improve the competitiveness of SMEs, SMEs need an application that can integrate and automate business processes of SMEs. ERP applications can be one solution for SMEs because of the advantages that can be provided such as providing information with fast response time, increase the interaction between the departments of an organization, improving the management of ordering goods cycle, etc. Some of the critical issues faced by SMEs are the limited funds and information technology capabilities they have. In understanding the needs of the services required by SMEs for ERP applications and to provide guidance for SMEs and response to the lack of research about ERP in Indonesia, this research aims to describe the long-term plan maps of the ERP's research agenda that will be made for SMEs in Indonesia.

scholarly journals Network Bandwidth Utilization Prediction Based on Observed SNMP Data

2018 ◽  
Vol 13 (1) ◽  
pp. 160-168
Author(s):  
Nandalal Rana ◽  
Krishna P Bhandari ◽  
Surendra Shrestha
Keyword(s):  
Linear Time ◽  
Arima Model ◽  
Real Data ◽  
Service Planning ◽  
Bandwidth Utilization ◽  
Network Nodes ◽  
Network Bandwidth ◽  
Bandwidth Requirement ◽  
Logit Transformation

 Bandwidth requirement prediction is an important part of network design and service planning. The natural way of predicting bandwidth requirement for existing network is to analyze the past trends and apply appropriate mathematical model to predict for the future. For this research, the historical usage data of FWDR network nodes of Nepal Telecom is subject to univariate linear time series ARIMA model after logit transformation to predict future bandwidth requirement. The predicted data is compared to the real data obtained from the same network and the predicted data has been found to be within 10% MAPE. This model reduces the MAPE by 11.71% and 15.42% respectively as compared to the non-logit transformed ARIMA model at 99% CI. The results imply that the logit transformed ARIMA model has better performance compared to non-logit-transformed ARIMA model. For more accurate and longer term predictions, larger dataset can be taken along with season adjustments and consideration of long term variations.Journal of the Institute of Engineering, 2017, 13(1): 160-168

scholarly journals Spatial Relationship between Precipitation and Runoff in Africa

2018 ◽  
Author(s):  
Fidele Karamage ◽  
Yuanbo Liu ◽  
Xingwang Fan ◽  
Meta Francis Justine ◽  
Guiping Wu ◽  
...  
Keyword(s):  
Land Surface ◽  
Spatial Scales ◽  
Spatial Relationship ◽  
Resource Planning ◽  
Climatic Conditions ◽  
Runoff Coefficient ◽  
Global Precipitation Climatology Centre ◽  
High Runoff ◽  
Monthly Runoff

Abstract. Lack of sufficient and reliable hydrological information is a key hindrance to water resource planning and management in Africa. Hence, the objective of this research is to examine the relationship between precipitation and runoff at three spatial scales, including the whole continent, 25 major basins and 55 countries. For this purpose, the long-term monthly runoff coefficient (Rc) was estimated using the long-term monthly runoff data (R) calculated from the Global Runoff Data Centre (GRDC) streamflow records and Global Precipitation Climatology Centre (GPCC) precipitation datasets for the period of time spanning from 1901 to 2017. Subsequently, the observed Rc data were interpolated in order to estimate Rc over the ungauged basins under guidance of key runoff controlling factors, including the land-surface temperature (T), precipitation (P) and potential runoff coefficient (Co) inferred from the land use and land cover, slope and soil texture information. The results show that 16 % of the annual mean precipitation (672.52 mm) becomes runoff (105.72 mm), with a runoff coefficient of 0.16, and the remaining 84 % (566.80 mm) evapotranspirates over the continent during 1901–2017. Spatial analysis reveals that the precipitation–runoff relationship varies significantly among different basins and countries, mainly dependent on climatic conditions and its inter-annual variability. Generally, high runoff depths and runoff coefficients are observed over humid tropical basins and countries with high precipitation intensity compared to those located in subtropical and temperate drylands.

scholarly journals Self-Assisted First-Fix Method for A-BDS Receivers with Medium- and Long-Term Ephemeris Extension

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Zilong Shen ◽  
Jing Peng ◽  
Wenxiang Liu ◽  
Feixue Wang ◽  
Shibing Zhu ◽  
...  
Keyword(s):  
Dynamic Models ◽  
Rapid Development ◽  
Real Data ◽  
Satellite System ◽  
Time Interval ◽  
Signal Acquisition ◽  
Positioning Accuracy ◽  
Broadcast Ephemeris ◽  
Intelligent Logistics

As a sensor for standalone position and velocity determination, the BeiDou Navigation Satellite System (BDS) receiver is becoming an important part of the intelligent logistics systems under rapid development in China. The applications in the mass market urgently require the BDS receivers to improve the performance of such functions, that is, shorter Time to First Fix (TTFF) and faster navigation signal acquisition speed with Ephemeris Extension (EE) in standalone mode. As a practical way to improve such functions of the Assisted BDS (A-BDS) receivers without the need for specialized hardware support, a Self-Assisted First-Fix (SAFF) method with medium- and long-term EE is proposed in this paper. In this SAFF method, the dynamic Medium- and Long-Term Orbit Prediction (MLTOP) method, which uses the historical broadcast ephemeris data with the optimal configuration of the dynamic models and orbit fitting time interval, is utilized to generate the extended ephemeris. To demonstrate the performance of the MLTOP method used in the SAFF method, a suit of tests, which were based on the real data of broadcast ephemeris and precise ephemeris, were carried out. In terms of the positioning accuracy, the overall performance of the SAFF method is illustrated. Based on the characteristics of the medium- and long-term EE, the simulation tests for the SAFF method were conducted. Results show that, for the SAFF method with medium- and long-term EE of the BeiDou MEO/IGSO satellites, the horizontal positioning accuracy is about 12 meters, and the overall positioning accuracy is about 25 meters. The results also indicate that, for the BeiDou satellites with different orbit types, the optimal configurations of the MLTOP method are different.

Strategic Ethnography and the Biography of Artefacts

2013 ◽  
pp. 347-376 ◽  
Author(s):  
Neil Pollock ◽  
Robin Williams
Keyword(s):  
Enterprise Resource Planning ◽  
Technology Implementation ◽  
Large Scale ◽  
Resource Planning ◽  
Work Organisation ◽  
Social Scientists ◽  
Knowledge Based ◽  
Enterprise Resource Planning Systems ◽  
Recent Developments

In health research and services, and in many other domains, the authors note the emergence of large-scale information systems intended for long-term use with multiple users and uses. These e-infrastructures are becoming more widespread and pervasive and, by enabling effective sharing of information and coordination of activities between diverse, dispersed groups, are expected to transform knowledge-based work. Social scientists have sought to analyse the significance of these systems and the processes by which they are created. Much current attention has been drawn to the often-problematic experience of those attempting to establish them. By contrast, this chapter is inspired by concerns about the theoretical and methodological weakness of many studies of technology and work organisation—particularly the dominance of relatively short-term, often single site studies of technology implementation. These weaknesses are particularly acute in relation to the analysis of infrastructural technologies. The authors explore the relevance to such analysis of recent developments in what they call the Biography of Artefacts (BoA) perspective—which emphasises the value of strategic ethnography: theoretically-informed, multi-site, and longitudinal studies. They seek to draw insights from a programme of empirical research into the long-term evolution of corporate e-infrastructures (reflected in current Enterprise Resource Planning systems) and review some new conceptual tools arising from recent research into e-Infrastructures (e-Is). These are particularly relevant to understanding the current and ongoing difficulties encountered in attempts to develop large-scale Health Infrastructures.

A Mixture Price Trend Model for Long-Term Risk Management

2010 ◽  
pp. 157-173
Author(s):  
Eric S. Fung ◽  
Wai-Ki Ching ◽  
Tak-Kuen Siu
Keyword(s):  
Risk Management ◽  
Financial Risk ◽  
Estimation Method ◽  
Real Data ◽  
Price Trend ◽  
Trend Model ◽  
Proposed Model ◽  
Price Trends ◽  
Long Term Forecasting

In financial forecasting, a long-standing challenging issue is to develop an appropriate model for forecasting long-term risk management of enterprises. In this chapter, using financial markets as an example, we introduce a mixture price trend model for long-term forecasts of financial asset prices with a view to applying it for long-term financial risk management. The key idea of the mixture price trend model is to provide a general and flexible way to incorporate various price trend behaviors and to extract information from price trends for long-term forecasting. Indeed, the mixture price trend model can incorporate model uncertainty in the price trend model, which is a key element for risk management and is overlooked in some of the current literatures. The mixture price trend model also allows the incorporation of users’ subjective views on long-term price trends. An efficient estimation method is introduced. Statistical analysis of the proposed model based on real data will be conducted to illustrate the performance of the model.

scholarly journals A System Dynamics Model of Online Stores’ Sales: Positive and Negative E-WOM and Promotion Perspective

2019 ◽  
Vol 11 (21) ◽  
pp. 6045 ◽  
Author(s):  
Qiang Yan ◽  
Simin Zhou ◽  
Xiaoyan Zhang ◽  
Ye Li
Keyword(s):  
System Dynamics ◽  
Real Data ◽  
System Dynamics Model ◽  
Dynamics Model ◽  
Sustainable Operations ◽  
Main Research ◽  
Interaction Diagram ◽  
Online Stores ◽  
The Impact

In this paper, we build a causal interaction diagram between the factors that may influence the sales and profits of online stores. An online store’s real operation data were used to help determine the causal relationship between variables. Finally, we proposed a system dynamics model and conducted a simulation of the operation of an online store. In this model, we focused on the impact of promotion and positive/negative electronic word of mouth (e-WOM) on the sales and profits of the online stores. The simulation results showed a similar trend to the real data and the main research finding showed that promotion is not a long-term measure for the sustainable development of online stores. Excessive promotion effort may lead to consumers’ dissatisfaction leading the increase of negative e-WOM. The systematic simulation can help us understand better the long-term effect of promotion and e-WOM on the operation of online stores. Finally, we gave some management suggestions for online stores’ sustainable operations.

scholarly journals Fourteen years of quality improvement education in healthcare: a utilisation-focused evaluation using concept mapping

2019 ◽  
Vol 8 (4) ◽  
pp. e000795 ◽  
Author(s):  
Frida Smith ◽  
Patrik Alexandersson ◽  
Bo Bergman ◽  
Lisa Vaughn ◽  
Andreas Hellström
Keyword(s):  
Quality Improvement ◽  
Concept Mapping ◽  
Mixed Method ◽  
Healthcare Professionals ◽  
Organisational Performance ◽  
Healthcare Staff ◽  
Long Term Outcomes ◽  
Analysis Process ◽  
Kirkpatrick Model

BackgroundThe need for training in quality improvement for healthcare staff is well acknowledged, but long-term outcomes of such training are hard to evaluate. Behaviour change, improved organisational performance and results are sought for, but these variables are complex, multifactorial and difficult to assess.AimThe purpose of this article is to explore the personal and organisational outcomes identified by participants over 14 years of university-led QI courses for healthcare professionals.MethodInspired by the Kirkpatrick model for evaluation, we used concept mapping, a structured mixed method that allows for richness of data to be captured and visualised by inviting stakeholders throughout the process. In total, 331 previous course participants were included in the study by responding to two prompts, and 19 stakeholders taking part in the analysis process by doing the sorting.ResultTwo maps, one for personal outcomes and one for organisational outcomes, show clusters of the responses from previous course participants and how the outcomes relate to each other in meta-clusters. Both maps show possible long-term outcomes described by the previous course participants.ConclusionThe results of this study indicate that it is possible that training in quality improvement with a strong experiential pedagogical approach fosters a long-term improvement capability for the course participants and, even more important, a long-term improvement capability (and increased improvement skill) in their respective organisations.

Defining and Understanding ERP Systems

2005 ◽  
pp. 772-778 ◽  
Author(s):  
David Sammon ◽  
Frédéric Adam
Keyword(s):  
Enterprise Resource Planning ◽  
Software Industry ◽  
Relationship Management ◽  
Resource Planning ◽  
Customer Relationship ◽  
Planning Systems ◽  
Chain Management ◽  
Software Market ◽  
Enterprise Resource Planning Systems

The last 15 years have seen the emergence on the software market of a category of software called Enterprise Resource Planning systems or ERP, which has become the focus of both researchers and practitioners in the information systems area. At this time, the ERP software market is one of the fastest growing markets in the software industry with long-term growth rates of 36-40%. Some estimates put the eventual size of the market by the year 2010 at US$1 trillion (Bingi et al., 1999). Since these estimates have been put forward, the ERP market has slowed down, but the overall growth of the enterprise-wide application market is still quite strong, thanks to a number of additional segments, such as Customer Relationship Management (CRM) and Supply Chain Management (SCM). Also, more recently, a new trend is emerging in the market: the re-implementation and extension of ERP, referred to as ERP II (Humphries and Jimenez, 2003).

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