فصلنامه مدیریت زنجیره تامین
پیاپی 57 (پاییز 1396)

The middle repository is a relatively new logistics technique that has been used successfully in a large number of retail chains. In this system, repositories instead of being points for storing goods, are coordinators of the stock. This paper by modeling two objective functions simultaneously has simulated and optimized the problem of routing vehicle with middle repository and possibility of slight sending of products to customers. In this way, vehicles after leaving repository through some routes collect goods from suppliers and return to repository and after the separation and integration of products within repository, distribute items among customers with respect to slight sending in routes or send items directly from factory to customers.
Because of the inherent complexity of integer hybrid models and their NP-hardness, they cannot be solved by exact methods. In this paper, optimization of the mass of particles and the Tabu search as two meta-heuristic algorithms and a heuristic algorithm for searching neighborhoods are used and the results of the five data sets with different sizes are analyzed. The findings show that the algorithm of optimization of the mass of particles despite being time-consuming finds acceptable and near-optimal solutions and heuristic algorithm of searching neighborhoods despite good results is in the second rank. However, in terms of time, it takes minimum time to find near-optimal solution.

According to enhancement of the quality and quantity of goods and services in the country's defense sector, it is necessary to revise systems and procedures involved in the value chain of these products and services in terms of quality and the process. One of these processes is, in particular, networking and management of suppliers whose correct and timely transformation can improve the quality of the products and services of defense organizations and industry while reducing significantly some costs of traditional networking and supplier management model and structure. In this regard, knowledge of effective and successful practices of large companies and the global leaders in this field, if in the context of logical and correct and or Islamic human thinking and based on environmental facts is implemented, can be in line with the correct network architecture and the right direction to move the defense organizations be useful. Learning from exemplars and use of knowledge and human experience is such an important issue that the Prophet emphasized its achievement even in China and Pleiades. Therefore, the present study with a descriptive analytical approach, plans to study the Boeing Company to investigate a new approach to creating strategic partners network and proper management of suppliers.
Results show that the Boeing company with the design and deployment of a new approach in its supply chain management could compensate its rising costs, increasing delivery time and poor quality as indicators of the inefficiency of the traditional model, and function as an ultimate integrator of its value chain of products (Boeing 787).

With the advancement of technology, many physical objects have been designed in a digital format such as books, tickets, and so on. In most cases, any virtual object can only be interpreted by a particular application software, so there will be a problem of interpretation. Virtual objects are a new set of objects in the cyber space and can do many things online and offline. Different research efforts have tried to provide a common structure for defining and managing virtual objects based on service-oriented architecture called device-dependent temporary services. In this paper, while defining a virtual object, it examines the features and benefits of the architecture of the device-dependent temporary services, and a method for implementing the virtual object of bus ticket as a case study based on it. The results show that the benefits of virtualization of bus tickets in the process of utilizing the relevant services have more value than other solutions.
Key words: Internet of Things, Virtual Object, Device-Dependent Temporary Services (DDTS), Bus Ticket.

In today's world of production, a large amount of information, including product and process design, assembling, material planning, quality control, planning, repair, maintenance, error detection, etc., is collected in database management systems and data warehouses. Therefore, the use of data mining in different areas of the production process has been growing dramatically in recent years. This paper reviews the studies on the discovery of knowledge and data mining applications as an important tool in the wider field of production. The purpose of this research is to provide a new framework for research efforts in relation to the current methods of using data mining in production based on the type of extracted knowledge, the used method and thus the identification of promising fields for study. The reviewed articles divide the application of data mining in the production process into four categories, including specifying, predicting, classifying and clustering. In this study, the applications of each tool mentioned in the different sections of the production of a product or service are introduced in order to expand the scope of future research.

E-commerce and the Internet have fundamentally changed the structure of supply chain management risks. The new millennium has led to the creation of an electronic supply chain management with the advent of information technology and the new business environment. On the other hand, cyber security risk management is a newly designed code designed to help IT executives express the challenges of rapid globalization and the release of external hardware and software systems. The main objective of the present research is to identify the risk factors of cyber supply chain management and its impact on the risk factors of electronic supply chain management. This paper is a descriptive-correlational research method. Confirmatory factor analysis techniques and structural equation modeling are used to determine the factors affecting the risk of cyber and electronic supply chain management. The data gathering tool was a questionnaire. Cronbach's alpha coefficient was used to measure the reliability of the questionnaire. Based on the results, the impact of five risk factors in the management of the cyber supply chain (environment, information, customer, infrastructure, organization), and five risk factors in the management of the electronic supply chain (political, technological, human, infrastructure and security) on Darupakhsh company were identified. In this regard, confirmatory factor analysis and structural modeling suggest that there is a positive and significant relationship between cyber supply chain risks and electronic supply chain risks in the drug distribution company.

As clients gain more awareness of environmental issues, governments codify stricter environmental regulations, while industries have to control their environmental effects on the supply chain. Nowadays, considering major investments in establishing cement manufacturing companies in Iran, as well as related job opportunities and other economic dimensions, the cement industry in the country has been following a rising trend. Despite these economic advantages, such companies inevitably contribute to environmental damages, which should be prevented considering environmental regulations. The present study is concerned with analyzing the obstacles to developing green chain supply of small and medium size enterprises in general, while it is specifically concentrated on Fars Cement Industry, Fars, Iran. To do this, primarily the obstacles to implementing GSCM are determined. Then, through the use of the Interpretive Structural Modeling (ISM) the factors are prioritized and categorized. Results of this method showed that lack of technology and new materials and processes counted as the first output of the model, while it showed a suitable force for development. At the next step, Analytic Network Process (ANP) was used to determine the obstacles to establishing GSCM. Finally, the degree of significance of each of the obstacles was determined. Following the whole analysis, results of the study indicated that the obstacle promoting suppliers’ environmental awareness followed by lack of participation of high-ranking managers in adopting green supply chain showed a higher weight. To analyze the output data, Excel, MATLAB and SUPERDECISION were used. To enhance the applicability of the results observed in the study, the weight of the factors were analyzed by ANP. Furthermore, to interpret the degree of effectiveness of each factor in establishing GSCM, ISM was also used.

The technique of cross-docking, which consists in unloading trucks, sorting the items they contain and reloading them directly into outbound trucks in order to minimize temporary storage, has attracted researcher's attention in the past few years. The number of articles on the subject has been growing very fast, but largely detached from industry practice. In order to see whether the current state of-the-art matches the industry practice, we propose a common framework that helps comparing the literature review regarding cross-docking operations with on-field observations and platform manager's interviews. Analyzing the gaps between the state-of-the-art and the industry practice helps drawing future research directions, in relation to industrial needs.