Economic-Statistical Design of Control Charts for monitoring the Process Mean with Known Standard Deviation Based on Bayesian Predictive Distribution
Atefe
Moradian
Master, Department of Statistics, Allameh Tabatabaʼi University, Tehran, Iran,
author
Mohammad
Bameni Moghadam
Profesor, Department of Statistics, Allameh Tabatabaʼi University, Tehran, Iran,
author
Rahmat
Shojaei Aliabadi
Phd Student, Department of Statistics, Allameh Tabatabaʼi University, Tehran, Iran,
author
text
article
2019
per
Extensive research has been done in the field of statistical process control. Also recently, control charts based on the Bayesian predictive distribution idea have been proposed in statistical process control texts. This idea was first proposed by Menzefricke and its parameters were considered unknown. In this paper, for the first time, statistical-economic design of control charts for monitoring the process mean with known standard deviation based on Bayesian predictive distribution is presented. According to the results presented in the article, regarding the superiority of statistical-economic design over economic design and also the superiority of Bayesian approach over the classical approach in designing control charts, it is suggested to use Bayesian control chart with statistical-economic design in controlling the process mean.
Journal of Quality Engineering and Management
Parsian Quality and Productivity Research
2322-1305
9
v.
4
no.
2019
284
294
https://www.pqprc.ir/article_122463_24c2c19e1bd2f2b6ec0fd80caf291c46.pdf
Simulation of a Multi-Stage Whip Effect in a Multi-Product and Multi-Level Supply Chain
Mohammad Mahdi
Movahedi
Department of Industrial Management, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran,
author
Sayed Ahmad
Shayan Nia
Department of Industrial Management, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran,
author
Hamed
Yousefnejad
Department of Industrial Management, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran,
author
text
article
2019
per
The purpose and background of this research is to investigate the intensification of changes in demand from the customer to the manufacturer. A beverage factory with two products whose production reaches distributors in different ways was studied. Inventory, communication and participatory models were designed to calculate the whipping effect. Communication and participatory models were also written with the ANFIS MATLAB program to enter information and calculate the whipping effect. For the producer factor, the level of the whip effect has decreased by an average of 22.31%, which is 33.33% for product A and 1.97% for product B. The results shown in the study show an appropriate reduction in the level of the whip effect. For distributors, there is an average decrease of 92.17%. For the producer factor, the level of the whip effect has decreased by an average of 22.31%.
Journal of Quality Engineering and Management
Parsian Quality and Productivity Research
2322-1305
9
v.
4
no.
2019
295
304
https://www.pqprc.ir/article_107870_d6651ad2dbcfcccb6106fb759b4f6d2d.pdf
Multi-Objective Green Agile Closed Loop Supply Chain Network Design Using Multi-objective Weed Optimization Algorithm
mehdi
dastani
PhD student in Industrial management, Department of management, Islamic Azad University, Isfahan Branch, Isfahan, Iran.
author
sayyed mohammad reza
davoodi
Assistant Professor, Department of management, Islamic Azad University, Dehaghan Branch, Dehaghan, Iran.
author
mehdi
karbasian
Associate Professor of Industrial Engineering, Malek Ashtar University of Technology.
author
shahram
moeeini
Assistant Professor, Department of Economics, University of Isfahan, Isfahan, Iran.
author
text
article
2019
per
Success in supply chain implementation depends on how it operates in the face of market changes and customer needs. Agility is a concept recently introduced by supply chain researchers to better design supply chains. Accordingly, and considering the importance of the topic. In this research, the design of Multi-objective closed-loop supply chain network is discussed. Accordingly, and considering the importance of the subject, in this research, the design of Multiobjective closed-loop supply chain network is discussed. The main innovation of this research is the integration of green and agile concepts in supply chain design. To this purpose, a mathematical model with economic, environmental and agility objectives is presented. In order to solve this mathematical model, two methods of Epsilon constraint and Multi-objective weed optimization are proposed. The results of the comparisons between the two methods show that the weed algorithm performs well in terms of different Pareto boundary quality and dispersion indices. At the end, the results are presented for a case study of the Dalan Kuh dairy supply chain and the Pareto border is described.
Journal of Quality Engineering and Management
Parsian Quality and Productivity Research
2322-1305
9
v.
4
no.
2019
305
319
https://www.pqprc.ir/article_107871_9268e2c0567e9fe12279cdd6f8969669.pdf
Assess and Address the Risks of Decision Making in the Conformity Assessment Arocess
Mostafa
Dastmardi
Quality Manager of Iran Polymer and Petrochemical Research Institute
author
text
article
2019
per
special type of conformity assessment, sometimes called an inspection, relies on measurement as the primary source of information to determine whether a product meets certain requirements. In any measurement, the result obtained always has uncertainty. Due to the uncertainty in the measurement results, there is always the risk of making wrong decisions in the conformity assessment process. So far, many studies have been done on how to assess these risks. Most of these studies have evaluated the decision-making risks from the producer perspective using measurement accuracy and variability of the production process, and few studies on decisionmaking risks from the consumer perspective have taken into account the measurement uncertainty and variability of the production process. Accordingly, in this article, along with a case study, how to evaluate the risks of wrong decision-making from both producer and consumer perspectives using measurement uncertainty and variability of the production process by the probability method is described and various options to deal with these risks are presented and examined. The results of this study show that the use of measurement uncertainty instead of measurement accuracy in assessing wrong decision risks, provides a more realistic estimate of risks and can be adjusted by modifying the decision rules in the assessment process of compliance with the consequences of these risks.
Journal of Quality Engineering and Management
Parsian Quality and Productivity Research
2322-1305
9
v.
4
no.
2019
320
333
https://www.pqprc.ir/article_107872_ed55351d7ae45693f61897b48e4654a6.pdf
Developing a New Optimization Model Based on the Process Yield Index and the Process Capability Index for Resubmitted lots
Atefe
Banihashemi
Department of Industrial Engineering, Yazd University, Yazd, Iran;
author
Mohammad Saber
Fallahnezhad
Department of Industrial Engineering, Yazd University, Yazd, Iran;
author
text
article
2019
per
Acceptance sampling plan is a useful tool for assurance and quality control in industries. In this paper, the resubmitted sampling plan is developed based on the process yield index and the process capability index by considering the minimum angle method. The plan parameters are determined by minimizing the ASN and satisfying the conformity to the ideal operating characteristic (OC) curve as well as the producer’s and customer’s risk, simultaneously. In addition, the performance of the proposed plan is evaluated on the basis of two indices and compared with the single sampling plan. The research results show that the proposed plan based on the index is more economical because by increasing the similarity of the proposed plan’s OC curve to the ideal OC curve, the proposed plan based on the index performs better than the proposed plan based on the index in terms of ASN. The applicability of the proposed sampling plan is illustrated with a numerical example.
Journal of Quality Engineering and Management
Parsian Quality and Productivity Research
2322-1305
9
v.
4
no.
2019
334
345
https://www.pqprc.ir/article_107873_a3a66169766218ccce79e7cd9571502b.pdf
Measuring the Efficiency of Lean Six Sigma (LSS) Projects in the Banking Industry Using the Hybrid Approach of Modified Balanced Scorecard (MBSC) and Multi Criteria Decision Making (MCDM)
Reza
Behboud
Ph.D Student, Systems Management, Samnan University, Semnan, Iran
author
Hana
Baghaee
, Ph.D Student, Allame Tabatabaei University of Tehran, Tehran, Iran
author
Abbas Ali
Rastgar
Associate Professor, Faculty of Economic, Management and Administrative Sciences, Semnan University
author
text
article
2019
per
Organizations activing in the banking industry are one of the most important sectors of the economic service providers around the world, which play a fundamental role in the sustainable development of countries. Lean Six Sigma (LSS) as a hybrid approach combining the strengths of Lean Thinking and Six Sigma helps to improve effectiveness and efficiency in financial institutions. The use of Balanced Scorecard and Lean Six Sigma achieves three objectives of strategic alignment, improved performance and customer satisfaction. The aim of this study was to provide an approach for measuring the efficiency of the Lean Six Sigma projects in the banking industry and, in this regard, a hybrid approach was presented using the Modified Balanced Scorecard (MBSC) model and the VIKOR technique. The results showed that this approach is a proper approach to measure the efficiency of improvement projects and the improvement project of Lean Six Sigma in one of the Banking institutions in terms of financial, customer, growth and learning, customer satisfaction measures and communication with the community enjoys a necessary efficiency in the Balanced Scorecard, but it does not have the required efficiency considering the measures of internal processes. Also, the results represented that the use of Balanced Scorecard technique could be very effective in the alignment of strategic plans and Lean Six Sigma improvement projects.
Journal of Quality Engineering and Management
Parsian Quality and Productivity Research
2322-1305
9
v.
4
no.
2019
346
358
https://www.pqprc.ir/article_107874_2b9c8978975ffaa2dd0948912d807be7.pdf