Industrial Management Perspective
Year:2018 | Volume:8 | Issue:30 |Papers Count:7

Emerging of Value-Added Services (VAS) as a modern supply sector in the field of mobile networks requires some elements such as content providers, intermediate companies, as well as operators, which called service supply chain. Formation of such service supply chain produces some challenges consist of management and modeling of demand trend, customer behavior and Bullwhip Effect. This paper aims to perform a precise evaluation on trend of demand in the mobile VAS area and also the Bullwhip Effect. Considering Conditional Autoregressive effects on demand trend, it has been recommended to use of ARCH class models in time series analysis. The results of this paper show that ARMA (1, 1)/EGARCH (1, 1) model is more powerful than GJR and GARCH models in reducing the Bullwhip Effect of this special time series demand.

Today, organizations are under tremendous pressure to continuously enhance their capabilities to create value for customers and improve the effectiveness of equipment. Without the proper equipment organization will face major challenges in competition and customer satisfaction. Inappropriate performance of equipment is a phenomenon that any manufacturing organization faces with it. The what strategy is selected against this phenomenon, depends on several factors. This issue becomes more important when the production line is continuous. In electricity company providers because of supplying strategic product issue is more complex. In this study, tried to determine the factors affecting the conditions in relation inappropriate performance of equipment to define this phenomenon. Therefor, using a three-stage approach of Grounded theory, with inductive method to study the phenomenon of improper performance of equipment has been studied and with gathering the experts opinion this industry and analyzing relevant data in five categories and 24 subcategories and 90 characteristic this phenomenon has been described and then how to choose appropriate strategies for different conditions explained.

The maximum capture problem seeks to find a suitable location for facilities in the network space and in a competitive condition. In this problem, the new company intends to enter the market with the aim of capturing more demand. In this study, the cost factor is considered to be a separate objective function and a bi-objective model is proposed. The number of facilities parameter is considered to be an interval and for its upper and lower bounds calculations two models are proposed. To obtain upper bound a model with the maximum capture objective and the maximum budget constraint and to obtain lower bound a model with the minimum cost objective and the minimum market share constraint. To solve the proposed model, a goal programming method is used. The steps of the research methodology and modelling are shown in a case study from Yazd city. The results show that if the weight of the objective functions is assumed to be equal and the investor neglect 7 % of the market share, 55% of initial investment could be saved.

Knowing customer behavior patterns, clustering and assigning them is one of the most important purpose for banks. In this research, the five criteria of each customer, including Recency, Frequency, Monetary, Loan and Deferred, were extracted from the bank database during one year, and then clustered using the customer's K-Means algorithm. Then, the multi-objective model of bank service allocation was designed for each of the clusters. The purpose of the designed model was to increase customer satisfaction, reduce costs, and reduce the risk of allocating services. Given the fact that the problem does not have an optimal solution, and each client feature has a probability distribution function, simulation was used to solve it. In order to determine the neighbor optimal solution of the Simulated Anneling algorithm, neighboring solutions were used and a simulation model was implemented. The results showed a significant improvement over the current situation. In this research, we used Weka and R-Studio software for data mining and Arena for simulation for optimization.

Supply chains are subject to numerous changes that increase the complexity and vulnerability to disturbances. Therefore, for survival organizations and their supply chains must be elastic. In other words organizations must develop the ability to respond to an unforeseen disorder and after enduring the disorder, have a quick return to their core position or move to a new and better place with more competitive advantage. One of the approaches to dealing with these disorders is to identify and predict disturbing supply chain risks and provide solutions to reduce these disruptions. Considering this approach, in this research the identification of disturbing risks in Mobarakeh Steel Company's supply chain and then reducing their potential effects for the next four periods has been considered. According to the experts of the company the graphite electrode is the most important and strategically important material. Therefore the risks associated with supplying this substance were introduced as supply chain disruptive risks and weighed them using ANP method. According to the results it was found that the most important risk for the company's experts is the risk of non-flexibility of suppliers of graphite electrode with a weight of 0. 5436. Other risks, the risk of long delivery orders, the risk of low quality and the risk of price increases, have the weights of 0. 1911, 0. 1716 and 0. 0937, respectively. The weights of these risks was considered as the coefficients of four objective functions in which each of them intended to minimize one of the identified risks. Then due to the importance of the company's risks and using the absolute priority method the company's optimization model was solved and it was determined how much graphite electrode should be purchased from each supplier in each period.

The quality of the services is one of the main factors in the competitiveness of the companies, and managers are keen to measure it accurately so that they can compare themselves with competitors. The purpose of this research is to rank the Iranian airlines in terms of the quality of services provided to travelers on domestic flights. Research previously conducted into service quality is examined in the first part of this study, and the service quality measurement attributes are determined and weighted by using the FAHP method. Then, using the FVIKOR method and based on the opinions of experts, the airlines are evaluated. The results of this study showed that the FAHP extent analysis method may lead to incorrect results. Hence, in this study, the Wang and Chen method is used to calculate the weight of attributes in FAHP. The results showed that responsiveness, compensation procedures, staff attitude and flight safety are more important in measuring service quality. The study showed that the top companies in terms of service quality include Ata, Zagros and Caspian.

This research studies the multi-mode project scheduling problem aiming to planning of payments considering limited resources. This model tries to propose a schedule as much as possible close to reality with taking the realistic assumptions into account. In the proposed model, renewable resources (including manpower, machinery, and equipment) as well as non-renewable resources (including consumption and money) are simultaneously considered. Then, the issues of scheduling and planning the project payment with the objectives of increasing the NPV of the project and reducing the completion time of the project in are examined. In doing so, a nonlinear mathematical programming model is presented based on the assumptions made in the problem space, to formulate the problem. Then, to validate the model, several random instances are designed in different dimensions and solved by GAMS software and ε-constraint method. To tackle the problem in large dimensions, we also proposed the NSGA-II algorithm. Finally, efficiency of the developed methodology is measured by comparing the results with ε-constraint method.