Journal of Quality Engineering and Management

Abstract design to cost (DTC) utilized at concept phase design is branch of design for Xwhich by exploiting different techniques and procedures, estimates the life cycle costs of different design for product before its manufacturing: thus, enabling producer-by comparing costs revenues, and profits-to select the most optimal design for manufacturing a product. The present research sets out to execute and deploy DTC method for specific electro-optical product. Unlike other research works, the present study has availed itself of the axiomatic design method to analyze customers' needs and converting them to estimating life cycle costs-by examining different models in light of available costs and information. Structure in the industry under investigation –we have developed an estimation model base and developing mathematical formulas, we have embarked on calculating life cycle costs of two design A and B .the obtained results indicate that in the care of product under study, design A – as regards cost effectiveness in production and life cycle costs in economic terms- can be selected as e premium concepts design. 
 
  

Abstract The use of Heat Recovery Steam Generators (HRSGs) in combined cycle power plants dramatically increases the efficiency of power generation. One of the most important parts of HRSG is Feed Water System (FWS). This paper describes the process of selecting the optimal configuration for the FWS of Heat Recovery Steam Generator, which has been done in MAPNA Boiler and Equipment Engineering and Manufacturing Company. First, the important equipment of the FWS is identified and is demonstrated by the reliability block diagram. Then the failure rate of each equipment is estimated using the documents of the International Atomic Energy Agency, the OREDA handbook and the IEEE 500 standard, and the system reliability is calculated in the Excel software environment. Finally, the results were analyzed and based on that, the optimal configuration of the FWS is determined. The proposed approach can also be used to design the reliability-based design of other industrial systems. 
 
 

Abstract The Purpose of this research is Interpretive Prioritization of Sustainable Outsourcing Risk Control Based on Capacity Chain Capabilities Based on Analysis Interpretive Ranking Process (IRP). In this study, in order to identify the components (supply chain capabilities) and research propositions (sustainable supply chain outsourcing risks), a combined analysis was performed with the participation of 14 industrial management experts at the university level, and in a small part, components and propositions. Identified in the form of matrix questionnaires were evaluated by 25 managers with experience in the National Company for Southern Oilfields. The results showed that the knowledge management capabilities component has the highest level of priority in the supply chain capabilities to control the risks of sustainable supply chain outsourcing and two propositions of increasing environmental pollution and lack of investment in waste recycling are the most likely risks of sustainable supply chain outsourcing. This research as a decision-making basis to understand the supply chain cycle to make the best decision can help improve the level of development of the National Company of Southern Oilfields in a competitive market environment. 

Abstract
 The purpose of this article is to examine the quality of goods in the process of transfer between members of the supply chain. For this purpose, a suitable mathematical model has been designed to manage the supply channel route of the supply chain problem and the problem has been solved using a genetic algorithm. In the present study, real-world conditions such as vehicle traffic constraints as well as product quality are considered by considering returned items, and also the Markov chain is used to investigate the possibility of transfer between members of the supply chain. The innovation of this research is the introduction of the channel selection system for transportation planning in the supply chain. The results show that the method used in this study has a good performance and the optimal way of product flow in a distribution network using genetic algorithm is presented. 

Abstract Supply chain flexibility is a factor in gaining a competitive advantage in today's changing world, which helps to make effective supply chain management decisions. Therefore, designing an integrated approach to the values resulting from supply chain flexibility can help sustainable development opportunities in companies and control threats in a competitive environment. The Purpose of this research is Interpretive Ranking Process (IRP) Integrating Value Based on Supply Chain Flexibility. Since supply chain value integration can be different, in this study, value integration was divided into two parts: market process pluralism and production process pluralism, based on two interpretive ranking analyzes and a comprehensive structural interpretive model. Select the most effective value integration propositions based on supply chain flexibility. In this research, in order to identify the components and propositions of the research, the analysis was done with the participation of 15 academic experts and in the quantitative part, the components and propositions identified in the form of matrix questionnaires by 23 managers with experience petrochemical companies were evaluated for interpretive analysis. The results showed that the two components of financial resource flexibility (T6) and information system flexibility (T7) have the highest level of priority in supply chain resilience dimensions. And the two propositions of creating innovative values and demand-driven management that are effective in promoting the level of pluralism in market processes of value integration and the dynamics of communication with suppliers of raw materials were identified as the most motivating factor in the multiplicity of production processes in order to create value integration. This research as a decision basis to understand the supply chain cycle to make the best decision can help improve the level of development of petrochemical companies in a competitive environment. 

Abstract  In recent years, many efforts have been made to achieve comprehensive criteria and models for evaluating companies. In this article, the aim is to obtain the efficiency of petrochemical companies based on human resource functions, operations and sales. The efficiency model can show better performance for calculating efficiency by considering human resource functions, operations and sales. 14 active petrochemicals are considered in the stock exchange and the concept model is based on three units of human resources, operations unit and sales unit. Data extracted from Codal site. The efficiency ranking of petrochemical industries is calculated with the same data by three methods. A network model is used to obtain efficiency and the results show the efficiency of petrochemicals 1, 10 and 11 in each model. The implementation of models shows that human resource functions, operations and sales can perform better. Also, the different results of the three models from each other show the importance of choosing a performance appraisal model for organizations.