جستجوی مقالات مرتبط با کلیدواژه « graph theory » در نشریات گروه « مدیریت »

In recent decades, consumer markets have faced the challenges of increasing brand convergence, a lack of understanding of the differences between competing offerings, and the reduction of switching costs. This has revised traditional customer-oriented practices inevitably and forces organizations to struggle to find and implement a component beyond technical requirements. Customer experience as one of the most promising management approaches is a new solution to facing these challenges. The purpose of this study is to identify factors on the cognitive, emotional, and behavioral experiences in pre-purchase touch points and determine which of the experimental strategies leads to exceeding the standards and expectations of customers. The current research is planned with a mixed approach and in the form of two consecutive processes. In the first phase, the factors affecting the pre-purchase experiences of customers have been identified through the synthesis of existing literature and studies. For this purpose, 1268 articles focusing on customer experience were reduced to 26 final studies in the screening process. In the second phase, relying on the combined approach of graph theory (matrix permanents), the governing internal relationships between the research components and measuring their importance levels were determined. To achieve this purpose, according to the value judgment of the evaluator group (selected from the statistical population of handicrafts customers), the type of governing relationships between the research components at the sub-system level has been determined and then, the hypothetical values and the degree of proximity of each factor to the limit is evaluated. The results indicate that the five main components of promotional actions, information, product, brand, and social interactions can effectively guide customers' pre-purchase experiences. The results of the analysis of the internal relations of the graphs show that among the mentioned components, social interactions (with a coefficient of 0.482 close to the ideal hypothetical value) have the highest level of importance in the industry of traditional and handicraft arts.

The design and development of complex aerospace products requires several different partners. Partners need to have different capabilities to work together so that the partnership is not compromised. Therefore, recognizing the dimensions and measuring the ability to design and develop a joint product is a problem for companies and their managers to adopt a suitable strategy for partnership. This study aims to provide a model for measuring the ability to design and develop a new joint product by examining different backgrounds, the dimensions of joint efforts including "resource sharing", "joint planning", "problem solving and joint performance evaluation" and "cultural capability" "Partnership" and product design and development dimensions including "appearance design", "technology design", "quality design", "functional design" and "how to sell and market" in a model and then using equation modeling Structurally approves it and, based on graph theory, proposes a framework for measurement between several partners and examines it in an example in the aerospace industry.

Petrochemical industry is one of the leading industries in the field of oil and gas in the country, which has a significant role in completing the chains of value creation in this field. Today, given the fact that sustainable development and, consequently, sustainable adaptation in supply chain management have become a social demand, the development of the petrochemical industry in the country and the penetration of global markets require the adaptation of sustainable development approaches in this industry. The purpose of this study is to identify, assess and analyze enablers that facilitates the achievement of sustainable development goals in the petrochemical supply chain. In order to achieve the research objectives, first by using Meta-Synthesis Method, the previous studies in the field of sustainable supply chain management investigated and the main factors and components that enable sustainable supply chain management have identified. Then, according to the Graph Theory and Matrix Approach (GTMA), the Supply chain management enablers have been analyzed. Based on the research findings, sustainable supply chain management enablers in the petrochemical industry was divided into components related to corporate governance, supply chain management, continuity of supply chain, supply chain characteristics, partnership in supply chain, and employees. The components related to continuity of the supply chain were the first priorities of planning in the petrochemical industry.

The manuscript discusses the overview and specification of the existing Operations Research methods for their implementation in terms of addressing distribution tasks, in particular to optimize delivery routes at a City logistics scale. First of all, a detailed literature review in a given context is elaborated, while the description of potentially relevant techniques to be applied is presented. The manuscript objective is to identify the most appropriate and benefit methods for their implementation to solve vehicle routing problem (hereinafter as VRP) at a City logistics scale and related optimization operations; i.e. to seek the shortest possible routes during the customer's delivery activities. In this matter, it is important to state that relevant distribution (pick-up and delivery) tasks can be expressed in a form of graphs on specified transport networks, and thereby use the individual techniques of graph theory. The particular transport network, as the basic concept of transport theory, is defined as a finite set of vertices and edges representing the infrastructure of roads of a network. Each network must be coherent, i.e. there must be at least one path for each vertex pair connecting these two vertices. Each network edge as well as vertex is defined by a certain value or set of values, for example, the edge length, the time it takes to pass, the amount of work that needs to be done on the edge, etc.

by increasing the occurrence of disruptions and unexpected changes in the business, the development of a resistant supply chain is a key opportunity for leading companies to gain a competitive advantage and turn threats into unique opportunities. on the other hand, in order to develop a resistant system, the need to monitor and evaluate the current position and planning of improvement route will be undeniable and inevitable. the purpose of this study is to provide a model for assessing the supply chain resistance in the automotive industries.  

In terms of purpose, research is a developmental one. In terms of implementation, it is a descriptive research and from philosophical point of view, it is interpretive. to achieve the research’s goal, in the first step, the most important enablers of supply chain resistance in the automotive industry were identified. then, through interpretive - structural modeling, the causal relationships between them were explained by experts. in the next step, by the graph theory method and matrix approach, the degree of supply chain resistance in optimal, current and minimum conditions in  Pishgam part producing company was determined and the results sensitiveness was analyzed.

The supply chain resistance of this company is at the level of  %31.23. Sensitivity analysis showed that enabling the risk and income sharing, supply chain adaptability and structure are the first to third priority to improve the resistance level of the company's supply chain.

Enabling supply chain structure, cooperation, trust, information sharing and openness are key factors and facilitate the improvement process of other enablers. Financial strength enabler is effect and is acquired  from the improvement of other incentives and will facilitate the process of achieving a resistant supply chain. this model helps managers evaluate the consequences of their decisions to improve supply chain resistance.

The purpose of this study is to develop and improve the multilayer fuzzy cognitive maps in structuring and analysis of problems with high dimensions by providing a quantitative framework.

In this study, the Self-Organizing Map method and Graph Theory and Matrix Approach has been combined in the multilayer fuzzy cognitive maps approach. Based on this approach, problem structuring is done by clustering and creating a multilayer structure for cognitive mapping.

The developed method in the present study has been used to analyze the problem of sustainable supply chain management achievement in the petrochemical industry. According to the results of data analysis based on the presented approach, "cooperation in the supply chain", "organizational development" and "management commitment to sustainable development" are the most effective factors in enabling sustainable supply chain management.

Based on the method presented in the present study, the problem is modeled by clustering components and creating a multilayer structure for cognitive mapping. The method presented in the present study can model problems with a large number of intervening variables. The proposed method in this study can model problems with a high number of variables.

The concentration of fossil fuel resources in specific geographic regions of the world and the strategic nature of fuel as a tradable commodity has created an intertwined and complex network of trade relationships among importing and exporting countries of fuel. In this research, using Graph Theory, the topology of the fuel trade network in 1995 and 2017 is analyzed and the position and significance of the main actors of the fuel trade were evaluated. The results show that the fuel trade network is a fully connected network with different growth patterns of trade clusters. It was also observed that countries with higher export share do not necessarily have a greater influence on the volume of fuel trade. While increasing the share of fuel trade, countries tend to trade beyond trade clusters. We also found that changes in trade clusters indicate a more regionalized trade in fuel. Finally, the results show a decrease in Iran's influence in fuel trade.

The current economic situation of the country, the growth of container terminals and the competitive market of this industry, obliges container terminal managers to keep their current customers and absorb new customers to save the interests of the organization. Since the customer satisfaction of container terminals has complex and various factors, the present study is determined and identified the degree of influence among factors of customer satisfaction with fuzzy cognitive map (FCM). This study are Identified the factors related to customer satisfaction of the container terminal through studying the library and interviewing experts and then the degree of influence of each factors on each other by using the interview with experts of container terminal in bushehr province are determined. Then the matrix obtained in Fcmapper software and the fuzzy cognitive map is drawn. Three important indicators are centrality identified in terms of operator performance, speed of unloading and loading operations, and service quality, respectively, such that managers will pay special attention to these indicators when policy are taken. The present research is enabled the container terminal managers of bushehr province to using centralized indexes and identifying effective clusters in the fuzzy cognitive map to apply appropriate policies to increase customer satisfaction. According to this, two important clusters are recognized and suggested to management in order to increase customer satisfaction.Also, using of modern equipment and supervising cargo handling is useful to increase the competence of the staff.

A growing business environment with growing uncertainty, unexpected dangers and quick unavoidable changes increases the probability of intense disturbance in corporation's supply chain. This trend that accompanies by natural disasters e.g. flood, tsunami, earthquake and etc. increases the necessity of resiliency and development of supply chains specially in pharmaceutic supply chains which are more sensitive. Managers require tools monitoring their supply chain resiliency against disturbance. The main purpose of this research is measurement and assessment of supply chain resiliency in pharmaceutical industry. In this study; considering complex adaptive systems (CASs) approach under the title of theory lens; the supply chain of two Iranian pharmaceutical corporations (Iran Daroo and Ghazi pharmaceutical Company) were chosen to be examined. In the following, the SCR dimensions and factors in the CAS framework were identified by systematic literature review. Afterward, this research proposes the integrated and systematic method by combination of Interpretive Structural Modeling (ISM), DEMATEL, graph theory and matrix approach (GTMA) and importance-performance analysis (IPA) to measure and assess the level of resiliency of both supply chains. Finally, conclusions from this research can support the manager’s analysis of resiliency and selection of effectiveness risk mitigation strategies in their supply chain and simplifies decision-making. This novel approach causes a competitive advantage to achieve market share even during a disruption.

World Class Manufacturing (WCM) is a key concept in the contemporary world that has attracted the attention of many industries. Many of the organizations in order to compete in the global market use world class manufacturing system. There are different views about the philosophy and concepts of WCM features، but what is considered as a key element is to achieve performance consistent with the «best in the world». Many factors that contribute to the successful implementation of world class manufacturing have been identified، but a little research on the evaluation of these factors has been done in developing countries. The main objective of this paper is to present a technique that assesses key factors of the successful implementation of world class manufacturing and shows the impact of these factors on the implementation of world class manufacturing in the form of a numeric index that is attributed to the organization. This technique combines two approaches that are interpretive structural modeling (ISM)، graph theory and matrix approach (GTMA). Also، the numerical index of the technique provides the capable of comparing and ranking organizations in terms of the WCM implementation. To implement this technique in two automobile companies (Iran Khodro and Saipa) important factors in the implementation of world-class Manufacturing have been identified and assessed

In today’s perpetually changing environment, supply chain agility is a critical element affecting organization`s competitiveness. In order to turn supply chain into an agile supply chain, we need to first clarify the meaning of supply chain agility. Because agility is a very broad and multi-dimensional concept, it involves diverse aspects of an organization. Even though there has been considerable research on the topic of agility, in general, there is relatively little examination of agility in the supply chain context. This situation reveals the need for a supply chain agility technique. The purpose of this article is to develop a technique to measure supply chain agility, the technique introduced in this paper is a combination of graph theory and matrix method, fuzzy logic and Interactive structural modeling. The proposed technique is then applied to a case study, supply chain agility is measured and the chief obstacles to a more agile supply chain are identified.