scholarly journals ACHIEVING COMPETITIVE ADVANTAGE THROUGH PRACTICING TQM TOOLS IN PHARMACEUTICALS COMPANY

2014 ◽  
Vol 43 (2) ◽  
pp. 103-109
Author(s):  
Niamat Ullah Ibne Hossain ◽  
Farjana Nur ◽  
Md. Ahasan Habib
Keyword(s):  
Quality Assurance ◽  
Quality Improvement ◽  
Pharmaceutical Industry ◽  
Competitive Advantage ◽  
Pharmaceutical Company ◽  
Control Chart ◽  
Control Limit ◽  
Important Goal ◽  
Fishbone Diagram ◽  
Control Limits

In order to survive in a competitive market, improving quality and productivity of Product or processis a must for any company. And in case of pharmaceutical industry, effective quality assurance policyimplementation is the most important goal. The main objective of this paper is to apply the Total QualityManagement (TQM) tools in a pharmaceutical company and prove its advantage. Here Control Chart,Fishbone diagram, EWMA were used and the control limits were improved. This activity resulted in moreperfect control limit recommendations which actually capable of reducing the material cost. The TQMperspective views quality as the pivotal purpose of the organization. Present review attempts to furnish a wideoverview of the TQM tools leading to quality improvement of Pharmaceuticals Company.DOI: http://dx.doi.org/10.3329/jme.v43i2.17834

scholarly journals PHARMACEUTICAL QUALITY AUDITS: A REVIEW

2019 ◽  
Vol 11 (1) ◽  
pp. 14
Author(s):  
Princy Agarwal ◽  
Amul Mishra
Keyword(s):  
Quality Assurance ◽  
Pharmaceutical Industry ◽  
Pharmaceutical Company ◽  
Search Engine ◽  
Quality System ◽  
Vital Function ◽  
Regulatory Requirements ◽  
Reimbursement Mechanisms ◽  
Quality Audit ◽  
Pharmaceutical Quality

Auditing is a vital function within a pharmaceutical company nowadays. Quality audit is a review and evaluation of all or part of a quality system with the specific purpose of improving it. It is one of the means to examine pharmacy programs and ensures that the procedures and reimbursement mechanisms comply with the contractual and regulatory requirements. A quality audit is usually conducted by external or independent experts or by a team designated by management for this purpose. These audits can be extended to suppliers and contractors as well. An audit will assess the strengths and weaknesses of quality assurance and quality assurance processes, the results of which assists in improving processes and building a better system for company benefits. This article focuses on various aspects of quality auditing in the pharmaceutical industry including its principles, objectives, importance and benefits and planning along with the deficiencies that are likely to occur during the process. This review comprises a well-organized summary of various guidelines available till date using the Google Scholar search engine and the keywords listed below.

scholarly journals Product Quality Control Analysis with Statistical Process Control (SPC) Method in Weaving Section (Case Study PT.I)

2021 ◽  
Vol 2 (3) ◽  
pp. 86-92
Author(s):  
Yusita Attaqwa ◽  
Aqidatun Hamidiyah ◽  
Firman Ardiansyah Ekoanindyo
Keyword(s):  
Control Chart ◽  
Raw Materials ◽  
Control Analysis ◽  
Product Quality Control ◽  
Statistical Process ◽  
Quality Control Analysis ◽  
Fishbone Diagram ◽  
A Company ◽  
Control Limits

Abstract - PT.I is a company that produces synthetic rattan furniture on an export scale. The various products at PT.I are an attraction for consumers, such as classic and modern weaving models. However, the number of defects produced is higher than the tolerance limit company. Based on data from the weaving section, it shows that there are 5 types of defects that are not in accordance with the standards and quality that have been determined by the company. The purpose of this study is to identify the types of defects that often occur in PT. I and identify the main factors causing product defects using the SPC method. The seven tools consist of a check sheet, histogram, stratification, scatter diagram, p control chart, Pareto diagram, and fishbone diagram. The results showed that the number of defects in October and November exceeded the limit set by the company. The highest level of disability occurred in October. The higher the number of production, the higher the number of product defects. Based on the results of the p control chart, it can be seen that the product is outside the control limits that it should have. The process is in a state of uncontrollability or is still experiencing deviations. To suppress or reduce the number of product defects that occur in production, 3 types of dominant defects can be applied, namely the woven model (254 units), loose woven (122 units), and nail-looking woven (119 units). Factors causing defects in production are derived from human factors/workers, methods, materials/raw materials and work environment.

scholarly journals Impact of Different Repetitive Sampling Schemes on the Performance of X-bar Control Chart

2020 ◽  
pp. 191-201
Author(s):  
Muhammad Anwar Mughal ◽  
Muhammad Azam ◽  
Muhammad Aslam
Keyword(s):  
Control Chart ◽  
Control Charts ◽  
Selection Process ◽  
Average Run Length ◽  
Control Limit ◽  
Sample Sizes ◽  
Sampling Schemes ◽  
Additional Control ◽  
And Performance ◽  
Control Limits

Repetitive sampling has been found very popular in improving the control chart techniques for last couple of years. In repetitive sampling based control charts, there are two additional control limits inside the usual upper control limit (UCL) and lower control limit (LCL). If any subgroup crosses these limits but remain inside outer limits, it is deferred and replaced with another selection. Process is said to be out of control if any subgroup falls outside UCL/LCL. In this article, the technique has been modified by introducing a relation between outer and inner control limits in terms of a ratio and need of this modification has also been justified by highlighting a gap in the existing technique. By using Monte Carlo simulation, several results have been generated relevant to different sample sizes and introduced ratios. The results have been described with the help of average run length (ARL) tables that how the efficiency of control chart is effected by using different ratios. The modification in the technique also provides variety of alternatives within the scope of repetitive based control charts. All the discussed options have summarized to one table to see that how the control limits under this technique behave and impact on detecting shifts in the process average. The schemes have been interpreted in the light of above ratio and their comparison has been described under different sample sizes that facilitate the user to select most appropriate scheme for a desired process control. An example has been included by choosing one of the proposed schemes to show the application and performance of the proposed control chart in a manufacturing process. 

scholarly journals Penerapan Metode Statistical Processing Control Untuk Menganalisis Pengendalian Kualitas Produk pada PT. Asera Tirta Posidonia

2018 ◽  
Author(s):  
DIDIHARYONO
Keyword(s):  
Quality Control ◽  
Quality Improvement ◽  
Quantitative Research ◽  
Raw Materials ◽  
Statistical Processing ◽  
Secondary Data ◽  
Control Limit ◽  
Quality Product ◽  
Fishbone Diagram ◽  
Processing Control

AbstractThis study aimed to analyze the application of Statistical Processing Control (SPC) methods in quality control an effort to reduce the number of defect products and identify of factors are causing the defect products manufactured by PT. Asera Tirta Posidonia. This research is a quantitative research with secondary data. Step analysis of the data using the SPC, namely (1) to collect data on production and the defect product (check sheet). (2) Make a histogram, (3) make a graph control u (u-chart). (4) Finding the causes of damage / disability by cause-effect diagram, and (5) make recommendations quality improvement. This research can be concluded with a look at the graph of control u (u-chart), which states that the quality product are beyond the control limit (statistics out control). It shows there are still points that are outside the control limit that an indication the process is in a state still experiencing irregularities. Analysis results of Fishbone diagram can be known factors causing damage in the process of production, which is derived from the factor workers, production machinery, work methods, materials / raw materials and environment. Therefore, all the causes of the damage can be fixed or prevention as early as possible in order to avoid greater damage.

Research on Control Chart Limits of Angle

2012 ◽  
Vol 503-504 ◽  
pp. 1566-1568
Author(s):  
Yu Zheng ◽  
Juan Zhang ◽  
A Ni Wang
Keyword(s):  
Control Chart ◽  
Control Limit ◽  
Directional Statistics ◽  
Lower Control Limit ◽  
Regular Control ◽  
Warning Limits ◽  
Von Mises ◽  
Control Limits

This paper is an attempt to apply the concept of regular control chart to control chart of angle. The control limits of angle, such as the center control limit (CL), upper control limit (UCL), lower control limit (LCL) and the warning limits can be obtained by von Mises distributions of the directional statistics. Further more, the concept of warning limits of regular control chart can be applied to control chart of angle.

scholarly journals On Performance of Two-Parameter Gompertz-Based X¯ Control Charts

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Johnson A. Adewara ◽  
Kayode S. Adekeye ◽  
Olubisi L. Aako
Keyword(s):  
Control Chart ◽  
Coverage Probability ◽  
Control Charts ◽  
Average Run Length ◽  
Real Life ◽  
Correction Method ◽  
Gompertz Distribution ◽  
Real Life Data ◽  
Control Limits ◽  
Two Parameter

In this paper, two methods of control chart were proposed to monitor the process based on the two-parameter Gompertz distribution. The proposed methods are the Gompertz Shewhart approach and Gompertz skewness correction method. A simulation study was conducted to compare the performance of the proposed chart with that of the skewness correction approach for various sample sizes. Furthermore, real-life data on thickness of paint on refrigerators which are nonnormal data that have attributes of a Gompertz distribution were used to illustrate the proposed control chart. The coverage probability (CP), control limit interval (CLI), and average run length (ARL) were used to measure the performance of the two methods. It was found that the Gompertz exact method where the control limits are calculated through the percentiles of the underline distribution has the highest coverage probability, while the Gompertz Shewhart approach and Gompertz skewness correction method have the least CLI and ARL. Hence, the two-parameter Gompertz-based methods would detect out-of-control faster for Gompertz-based X¯ charts.

scholarly journals Strategic account management as a value co-creation selling model in the pharmaceutical industry

2017 ◽  
Vol 32 (2) ◽  
pp. 310-325 ◽  
Author(s):  
Francois Pilon ◽  
Elias Hadjielias
Keyword(s):  
Pharmaceutical Industry ◽  
Pharmaceutical Company ◽  
Value Added ◽  
Pharmaceutical Companies ◽  
Design Data ◽  
Content Type ◽  
Qualitative Research Design ◽  
Account Management ◽  
A Value ◽  
Key Accounts

Purpose This study aims to explore the dynamics enabling strategic account management (SAM) to function as a value co-creation selling model in the pharmaceutical industry. Design/methodology/approach Using an inductive qualitative research design, data are collected within 11 industry customers in Canada. This work focuses on hospitals as strategic accounts of pharmaceutical companies, exploring SAM value co-creation in the “hospital-pharmaceutical company” relationship. Findings The findings suggest the presence of two key dimensions that can enable a value co-creation SAM model in the hospital-pharmaceutical relationship: “customer-tailored value-added initiatives” and “relationship enhancers”. Customer-tailored value-added initiatives explain the activities that are central to the hospital-pharmaceutical company relationship and can lead to the provision of value added that is unique to the hospital. Relationship enhancers explain the activities that can help strengthen hospital-pharmaceutical company relations in the pursuit of enhanced value-added interactions between the two parties. The research demonstrates a cyclical relationship between “customer-tailored value-added initiatives” and “relationship enhancers”, leading to value co-creation through a SAM model. Practical implications The study informs pharmaceutical industry practitioners on how to improve their value proposition through new, more sustainable selling practices. It offers information on implementing a value co-creation SAM model, which can enable pharmaceutical companies to sustain long-lasting value-added relationships with key accounts such as hospitals. Originality/value The study contributes to the field of SAM by conceptualizing SAM as a value co-creation system. It introduces new knowledge in pharmaceutical marketing by offering empirical insight on the applicability and use of SAM in the hospital-pharmaceutical company dyad.

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