Journal of Quality Engineering and Management

Abstract Purpose: In today's world, the role of the economy in shaping business models and the power of nations is highly significant. Exports play a vital role in enhancing productivity and economic development, particularly in developing countries. The automotive industry, as a key sector, contributes considerably to this process. This study aims to identify the key influencing variables on non-oil exports and explore how they affect productivity growth and export improvement.
Methodology: This research employs a system dynamics approach to model the interactions among key economic variables. The study utilizes VENSIM software to simulate the system dynamics model of the automotive industry and non-oil exports. Causal loop diagrams and stock and flow diagrams were developed to analyze the relationships.
Findings: The main variables analyzed in this study include exchange rate, inflation, productivity, and competitiveness. The developed model was validated and tested under various scenarios. Results indicate how changes in these variables impact productivity and the performance of non-oil exports in the automotive industry.
Originality/Value: This study offers a dynamic model tailored to the automotive sector in developing economies like Iran, where over-reliance on oil has led to inefficiencies in other export sectors. The model helps policymakers and industry stakeholders understand complex interactions and make informed decisions to boost non-oil exports and overall productivity.

Abstract This research focuses on improving productivity in the home appliance industry through ‎the Kaizen approach. In order to respond to competitive challenges, various ‎organizations are pursuing the implementation of lean production today. The use of lean ‎techniques in manufacturing and even service industries can be seen in writings and ‎articles. From a functional and operational point of view, lean production includes the ‎implementation of a set of tools and techniques that try to reduce waste in the company ‎and the value chain.‎
The main issue includes identifying and reducing waste and mods related to processes in ‎the production system. The main questions in this research focus on the definition and ‎corrective measures to improve productivity and achieve the goals of kaizen in ‎eliminating or reducing waste such as excess production, transportation, etc. Various ‎methods such as case studies and field analyze are used as well as value flow mapping ‎to identify trends and implement corrective measures. ‎

Abstract In this research, a hybrid approach based on fuzzy logic and artificial neural network is presented to predict the failure of machines in order to increase productivity. The subject of this research is one of the factories of the automobile industry named Diaco Ide Aria, which operates in the field of automobile parts production. Preventive maintenance requires correct prediction of breakdowns and accidents, equipment and machines so that productivity can be increased by timely and correct maintenance of machines as well as fixing defects and breakdowns. To model the multi-layer perceptron fuzzy-neural network (MLP), first, 100 failures and stops were collected in a period of 15 months and then entered into MATLAB software. The obtained results show that the implementation of fuzzy-neural network and the prediction of machine failure time has reduced the duration and cost of repairs. Therefore, the working time and accessibility of the machines increased and ultimately increased the productivity by 57%, also, the accuracy of the developed neural-fuzzy model was estimated at 94%.

Abstract  Stroke and heart attack are the most important causes of mortality in the world. Identifying communities at risk for stroke and heart attack is an important step in improving the care systems of these patients, strokes and heart attacks are important to the emergency department, The aim of this study is to improve emergency department performance and improve the quality of emergency and hospitals resource allocation. Therefore, the spatial autocorrelation of stroke and heart attack was investigated using spatial statistics. Distribution of these two types of complications in different parts of Tehran was identified by using hot spots analysis and Moran's local autocorrelation index. Also, considering the spatial autocorrelation, to investigate the factors affecting the occurrence of this event, the relationship between the incidence rate of stroke and heart attack with AQI air pollution index And the level of development in different region of Tehran was investigated using Spearman correlation coefficient. 
 

Abstract In order to improve productivity, Article 5 of the Sixth Development Plan Law mandates the implementation of the productivity management cycle, which states that "executive bodies and the armed forces are obliged to focus on productivity growth in the economy, while implementing the productivity management cycle in the complex." "Provide
the necessary arrangements for the operation of this cycle in the units under its auspices in
coordination with the National Productivity Organization of Iran and submit its annual report to the National Productivity Organization." It is also stated in the program that from the projected 8% economic growth, 2.8%, ie equivalent to 35% growth, should be obtained from the total factor productivity.
There are several models for measuring productivity, among which the model with financial ratios approach has been used in this paper. There are also various methods for measuring productivity. In this paper, the value-added method is used to calculate partial and total productivity indices in Method Company. Two financial statements, balance sheet and profit and loss statement in the period of 1391 to 1395 as input data as well as standard worksheets of the Productivity Center of Iran to measure productivity indicators are entered into a software designed to output Those productivity ratios and related graphs are similar in the method company and in the industry. Multiple regression was used to select the appropriate approach to improve productivity and show the effect of independent variables (partial productivity indices) on the dependent variable (total productivity), followed by material productivity as the first priority and productivity. Manpower, energy and capital were identified as the next priorities for improvement in Method Company.

Abstract Productivity and related indicators are very important for organizations because of their direct impact on the performance and efficiency of the organization. Today, companies and organizations attach great importance to the discussion of the environment and the standards in this field to gain a competitive advantage. In the field of environmental environment, the ISO 14001 standard is proposed. In this article, first, each of the concepts of productivity and environment is examined separately, then the dimensions and criteria of each of them are extracted. Accordingly, 20 indicators for productivity and 13 indicators for the environment have been extracted from articles and books. This article has been done in two methods of descriptive and exploratory study. In the descriptive study, the indicators and concepts affecting the two issues of productivity and environment have been extracted separately and the exploratory study has expressed the relationship between the concepts and indicators proposed in the two areas of productivity and biology. Environment, which is taken from the literature review and according to the concepts and issues raised, questionnaires were developed to find a meaningful relationship between the two issues of productivity and environmental life, which were distributed among industry experts and the university. And the results were collected and using t-test at the level of α = 0.05, we were able to extract the relevant indicators and among them, the indicators that have a stronger relationship in different areas were identified.