scholarly journals Halal Assessment Model Design in Bakery Industry

2021 ◽  
Vol 3 (2) ◽  
pp. 56-69
Author(s):  
Alyani Rahma Putri ◽  
Nilda Tri Putri ◽  
Alizar Hasan ◽  
Ikhwan Arief ◽  
Hayati Habibah Abdul Talib
Keyword(s):  
Critical Point ◽  
Business Process ◽  
Quality Function Deployment ◽  
Assessment Tool ◽  
Assessment Model ◽  
Model Design ◽  
Matrix Component ◽  
Bakery Product ◽  
Good Manufacturing Practices ◽  
The Matrix

Bakery product is a product with huge business opportunities in the domestic and international halal food market. Bakery companies are demanded to keep the trust of the consumers to the bakery product. The design of the halal assessment model is required to determine the critical point in the bakery-making business process. This assessment tool is intended to understand, know, and determine the critical point of the bakery production process from the halalness degree and is reviewed from all aspects such as the materials’ content, as well as the material acquisition and processing method based on 18 criteria of GMP principles (Good Manufacturing Practices). The halal assessment model designed in this research used QFD (Quality Function Deployment) approach which was integrated into the company’s business process and the halal critical bakery was grouped based on SCOR (Supply Chain Operations Reference) model. Matrix 1 integrated GMP (Good Manufacturing Practices) and business process (BP), matrix 2 integrated GMP (Good Manufacturing Practices), and halal critical bakery (HCB). The results of the design model implementation based on the standards set by the Halal Auditor of LPPOM MUI found that the standard matrix component 1 was met by the company by 47%, while the matrix component 2 was only able to meet the Auditor standards by 34% and the matrix component 3 standards were able to fulfilled by the company by 75%. The fulfillment value of each matrix is influenced by the negative gap that occurs, the negative gap occurs because of the standard criteria in the technical matrix that are not met. The result of this halal assessment model design is expected to help the company in evaluating and controlling critical points found in the business processes.

scholarly journals SARS-CoV-2 Epidemics in Retirement and Nursing Homes in Italy: A New Preparedness Assessment Model after the First Epidemic Wave

2021 ◽  
Vol 18 (11) ◽  
pp. 5712
Author(s):  
Carmelo Gugliotta ◽  
Davide Gentili ◽  
Silvia Marras ◽  
Marco Dettori ◽  
Pietro Paolo Muglia ◽  
...  
Keyword(s):  
Nursing Homes ◽  
Perceived Risk ◽  
Assessment Tool ◽  
Resident Training ◽  
Assessment Model ◽  
Infection Prevention And Control ◽  
Field Assessment ◽  
Italian Context ◽  
And Control ◽  
The City

The aim of the study is to evaluate the preparedness of retirement and nursing homes in the city of Sassari at the end of the first wave of the severe acute respiratory syndrome coronavirus 2 epidemic, first by investigating the risk perception of epidemic outbreaks by the facility managers and subsequently by carrying out a field assessment of these facilities. To perform the field assessment, a checklist developed by the CDC (Infection Prevention and Control Assessment Tool for Nursing Homes Preparing for COVID-19) and adapted to the Italian context was used. Fourteen facilities took part in the survey (87.5%). The application of good practices for each survey area was expressed as a percentage with the following median values: restriction policies (87.5%), staff training (53.8%), resident training (67.6%), availability of personal protective equipment (41.7%), infection control practices (73.5%) and communication (80%). Among the facilities, considerable variability was observed in these evaluation fields: only the restriction policies and communication activities were applied uniformly. A discrepancy was found between perceived risk and real danger in the facilities, requiring targeted communication actions. At present, it is necessary to promote a new approach based on the prediction of critical events, thereby providing the means to effectively address them.

Agreement and Reliability Analysis of Machine Learning Scaling in the Assessment of Acute Proximal Weakness by Experts and Non-Experts: Clinical Feasibility Study (Preprint)

2021 ◽  
Author(s):  
Eunjeong Park ◽  
Kijeong Lee ◽  
Taehwa Han ◽  
Hyo Suk Nam
Keyword(s):  
Machine Learning ◽  
Reliability Analysis ◽  
Gold Standard ◽  
Assessment Tool ◽  
Expert Knowledge ◽  
Hybrid Approach ◽  
Assessment Model ◽  
Lower Limbs ◽  
Neurological Deficits ◽  
Percent Agreement

BACKGROUND Assessing the symptoms of proximal weakness caused by neurological deficits requires expert knowledge and experienced neurologists. Recent advances in artificial intelligence and the Internet of Things have resulted in the development of automated systems that emulate physicians’ assessments. OBJECTIVE This study provides an agreement and reliability analysis of using an automated scoring system to evaluate proximal weakness by experts and non-experts. METHODS We collected 144 observations from acute stroke patients in a neurological intensive care unit to measure the symptom of proximal weakness of upper and lower limbs. A neurologist performed a gold standard assessment and two medical students performed identical tests as non-expert assessments for manual and machine learning-based scaling of Medical Research Council (MRC) proximal scores. The system collects signals from sensors attached on patients’ limbs and trains a machine learning assessment model using the hybrid approach of data-level and algorithm-level methods for the ordinal and imbalanced classification in multiple classes. For the agreement analysis, we investigated the percent agreement of MRC proximal scores and Bland-Altman plots of kinematic features between the expert- and non-expert scaling. In the reliability analysis, we analysed the intra-class correlation coefficients (ICCs) of kinematic features and Krippendorff’s alpha of the three observers’ scaling. RESULTS The mean percent agreement between the gold standard and the non-expert scaling was 0.542 for manual scaling and 0.708 for IoT-assisted machine learning scaling, with 30.63% enhancement. The ICCs of kinematic features measured using sensors ranged from 0.742 to 0.850, whereas the Krippendorff’s alpha of manual scaling for the three observers was 0.275. The Krippendorff’s alpha of machine learning scaling increased to 0.445, with 61.82% improvement. CONCLUSIONS Automated scaling using sensors and machine learning provided higher inter-rater agreement and reliability in assessing acute proximal weakness. The enhanced assessment supported by the proposed system can be utilized as a reliable assessment tool for non-experts in various emergent environments.

Service quality function deployment by the C-shaped QFD 3D matrix

2018 ◽  
Vol 25 (9) ◽  
pp. 3386-3405 ◽  
Author(s):  
Maryam Hassani ◽  
Arash Shahin ◽  
Manouchehr Kheradmandnia
Keyword(s):  
Quality Function Deployment ◽  
Design Methodology ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Customer Requirements ◽  
Content Type ◽  
Process Characteristics ◽  
The Matrix ◽  
3D Matrix ◽  
Simultaneous Comparison

Purpose The purpose of this paper is to examine the application of C-shaped QFD 3D Matrix in comparing process characteristics (PC), performance aspects (PA) and customer requirements, simultaneously and to prioritize the first two sets, respectively. Design/methodology/approach A three dimensional matrix has been developed with three sets of PC, PA and customers’ requirements and C-shaped matrix has been applied for simultaneous comparison of the dimensions and prioritization of the subsets of PC and PA. The proposed approach has been examined in a post bank. Findings Findings confirm the possibility of simultaneous comparison and prioritization of the three sets of dimensions of this study in post bank services. In addition, “growth and learning” and “bilateral relationship with suppliers” had the first priorities among PA and PC, respectively. Research limitations/implications While the proposed approach has many advantages, filling the matrixes is time-consuming. Since illustrating the 3D matrix was not possible, the matrix was separated into five two-dimensional matrixes. Originality/value Compared to the studied literature, the proposed approach is practically new in the post bank services.

A Multi-Level Relational Risk Assessment Model for Secure E-Government Projects

2012 ◽  
pp. 390-418
Author(s):  
Dionysis Kefallinos ◽  
Maria A. Lambrou ◽  
Efstathios D. Sykas
Keyword(s):  
Risk Assessment ◽  
Assessment Tool ◽  
Assessment Model ◽  
Wide Range ◽  
Technical Risk ◽  
Government Project ◽  
Risk Areas ◽  
Multi Level ◽  
Relational Risk ◽  
Secure Implementation

In this chapter, the authors propose a model for a risk assessment tool directed towards and tailored specifically for e-government projects. The authors’ goal is to cover the particular threats pertinent to the e-government project context and provide an interface between the broader philosophy of IT governance frameworks and the technical risk assessment methodologies, thus aiding in the successful and secure implementation and operation of e-government infrastructures. The model incorporates a wide range of applicable risk areas, grouped into eleven levels, as well as seven accompanying dimensions, assembled into a checklist-like matrix, along with an application algorithm and associated indices, which an evaluator can use to calculate risk for one or for multiple interacting projects.

scholarly journals Assessment of Entrepreneurship education: A pilot study

2008 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Marius Pretorius
Keyword(s):  
Assessment Tool ◽  
Service Providers ◽  
Entrepreneurship Education ◽  
Assessment Model ◽  
Key Words And Phrases ◽  
Entrepreneurial Education ◽  
Education Assessment ◽  
Knowledge And Skills ◽  
Start Ups

<p align="LEFT">Many institutions embark on entrepreneurship education, as ultimately start-ups benefit economic growth; but institutions unfortunately lack tools and benchmarks for assessing the quality of their programmes. The uniqueness of different programmes, however, does not allow meaningful comparative assessment between them, so this study applies an assessment model that gives feedback on a case study.</p><p>An in-depth case-study application of the assessment model indicated the following: Programme context; Entrepreneurial knowledge and skills; Business knowledge and skills; Approaches; Business plan utilisation; and the Facilitator, as key constructs for evaluation. The assessment identified major shortcomings and strengths of the case under investigation. The article concludes that the assessment tool accurately measured outcomes of the programme despite its specific context, and that the programme covers the basic requirements for entrepreneurial education that are required by the literature. The assessment tool has general application value.</p><p>Organisations like the Qualifications Authority could use the Entrepreneurship Education Assessment Model (EEAM) to ensure that service providers offer quality programmes. Assessors and educators would benefit from better understanding of how various constructs contribute to the successful delivery of entrepreneurship education.</p><p><strong>Key words and phrases:</strong> entrepreneurial education, assessment, economic impact.</p><p align="LEFT"> </p><em></em>

scholarly journals A tool to improve the performance of multidisciplinary teams in cancer care

2019 ◽  
Vol 8 (2) ◽  
pp. e000435 ◽  
Author(s):  
Lynleigh Evans ◽  
Brendan Donovan ◽  
Yiren Liu ◽  
Tim Shaw ◽  
Paul Harnett
Keyword(s):  
Performance Improvement ◽  
Team Performance ◽  
Cancer Care ◽  
Assessment Tool ◽  
Multidisciplinary Teams ◽  
Self Assessment ◽  
Team Members ◽  
Innovative Methodology ◽  
Improvement Strategies ◽  
The Matrix

IntroductionWhile multidisciplinary teams (MDTs) are well established in many healthcare institutions, both how they function and their role in decision-making vary widely. This study adopted an innovative methodology to assess multidisciplinary team performance and engage teams in performance improvement strategies.MethodsThe study comprised a survey to evaluate MDT members’ perceptions of their team’s performance before the implementation of the programme and annually thereafter, and a maturity matrix designed as a self-assessment tool. Each MDT used the matrix to collectively assess its performance and identify areas for improvement.ResultsIn the first cycle, 180 member surveys from 19 MDTs were completed. This provided insights into team members’ perceptions of performance. 12 of these teams continued with the study and all 12 completed the matrix. Most teams rated themselves at level one or two (low) on a scale of five for most items.ConclusionsThe MDT survey and maturity matrix have the potential to be useful for cancer care teams to identify their strengths and weaknesses and monitor performance over time and also for management to review its performance against standard criteria and to identify priority areas for improvement and further support.

Healthcare quality maturity assessment model based on quality drivers

2016 ◽  
Vol 29 (3) ◽  
Author(s):  
Nadia Ramadan ◽  
Mazen Arafeh
Keyword(s):  
Design Methodology ◽  
Assessment Tool ◽  
Healthcare Providers ◽  
Assessment Model ◽  
Maturity Level ◽  
Healthcare Organizations ◽  
Quality Management Systems ◽  
Proposed Model ◽  
The Status ◽  
Practical Implications

Purpose Healthcare providers differ in their readiness and maturity levels regarding quality and quality management systems applications. The proposed model serves as a useful quantitative quality maturity level assessment tool for healthcare organizations. Design/methodology/approach The model proposes five quality maturity levels (chaotic, primitive, structured, mature and proficient) based on six quality drivers: top management, people, operations, culture, quality focus and accreditation. Findings Healthcare managers can apply the model to identify the status quo, quality shortcomings and evaluating ongoing progress. Practical implications The model has been incorporated in an interactive Excel worksheet that visually displays the quality maturity level risk meter. The tool has been applied successfully to local hospitals. Originality/value The proposed six quality driver scales appear to measure healthcare provider maturity levels on a single quality meter.

Enhanced Leak Detection Risk Model Development

2010 ◽  
Author(s):  
Lorna Harron ◽  
Rick Barlow ◽  
Ted Farquhar
Keyword(s):  
Risk Assessment ◽  
Risk Model ◽  
Risk Mitigation ◽  
Detection System ◽  
Leak Detection ◽  
Mitigation Strategies ◽  
Assessment Model ◽  
Flow Meter ◽  
The Matrix ◽  
Risk Mitigation Strategies

Increasing concerns and attention to pipeline safety have engaged pipeline companies and regulatory agencies to extend their approaches to pipeline integrity. The implementation of High Consequence Areas (HCAs) has in particular had an impact on the development of integrity management protocols (IMPs) for pipelines. These IMPs can require that a risk based assessment of integrity issues be applied to specific HCA risk factors. This paper addresses the development of an operational risk assessment approach for pipeline leak detection requirements for HCAs. A detailed risk assessment algorithm that includes 25 risk variables and 28 consequence variables was developed for application to all HCA areas. The significant likelihood and consequence factors were chosen through discussions with the Leak Detection Risk Assessment Model Working Group and subject matter experts throughout Enbridge. The leak detection algorithm focuses on sections of pipe from flow meter to flow meter, as these are the locations that impact the leak detection system used by Enbridge. Each section of pipe is evaluated for likelihood, consequence and risk. When a high or medium risk area has been identified, an evaluation of potential Preventive and Mitigative (P&M) measures will be undertaken. A P & M Matrix has been developed to identify potential mitigation strategies to be considered for higher risk variables, called risk drivers, in the model. The matrix has been developed to identify potential risk mitigation strategies to consider for each variable used in the HCA Leak Detection Risk Assessment. The purpose of the matrix is to guide the user to consider actions identified for variables that drive the risk for the particular location. Upon review of the matrix, the user determines feasibility of the risk mitigation strategies being considered to identify an action. The paper will describe the consultative process that was used to workshop the development of this algorithm. Included in this description is how the process addressed various methods of leak detection across a wide variety of pipelines. The paper closes with “development challenges” and future steps in applying operation risk assessment techniques to mainline leak detection risk management.

scholarly journals A Maturity Level-Based Assessment Tool to Enhance the Implementation of Industry 4.0 in Small and Medium-Sized Enterprises

2020 ◽  
Vol 12 (9) ◽  
pp. 3559 ◽  
Author(s):  
Erwin Rauch ◽  
Marco Unterhofer ◽  
Rafael A. Rojas ◽  
Luca Gualtieri ◽  
Manuel Woschank ◽  
...  
Keyword(s):  
Field Study ◽  
Industry 4.0 ◽  
Assessment Tool ◽  
Assessment Model ◽  
Manufacturing Companies ◽  
Research To Practice ◽  
Maturity Level ◽  
The Past ◽  
Industrial Companies ◽  
Individual Strategy

Industry 4.0 has attracted the attention of manufacturing companies over the past ten years. Despite efforts in research and knowledge transfer from research to practice, the introduction of Industry 4.0 concepts and technologies is still a major challenge for many companies, especially small and medium-sized enterprises (SMEs). Many of these SMEs have no overview of existing Industry 4.0 concepts and technologies, how they are implemented in their own companies, and which concepts and technologies should primarily be focused on future Industry 4.0 implementation measures. The aim of this research was to develop an assessment model for SMEs that is easy to apply, provides a clear overview of existing Industry 4.0 concepts, and supports SMEs in defining their individual strategy to introduce Industry 4.0 in their firm. The maturity level-based assessment tool presented in this work includes a catalog of 42 Industry 4.0 concepts and a norm strategy based on the results of the assessment to support SMEs in introducing the most promising concepts. For testing and validation purposes, the assessment model has been applied in a field study with 17 industrial companies.

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