Systematic Identification of Average ASR Successful Telecommunications Conversations Using the Concept of Dynamic Systems
Nezamodin
Faghih
Professor, Shiraz University.
author
Mohammad
Ghafournian
Ph.D. Shiraz University.
author
text
article
2011
per
Some industrial, social, and managerial issues have their own intricacies and cannot be solved by simple vision and management hypotheses. Dynamic systems thinking is a way of modeling and analyzing the factors of a system and ultimately finding the right solution for it. In general, the purpose of identifying a system is to obtain a model of that system using input and output data obtained through multiple tests of the same system. Given the importance of the average percentage of successful conversations (ASRs) in the field of communication, this study attempts to identify and investigate the dynamics of systems thinking that generate different ASRs over time. Be.
Journal of Industrial Management Perspective
Shahid Beheshti University
2251-9874
1
v.
3
no.
2011
9
28
https://jimp.sbu.ac.ir/article_87362_eb7b261316b296157d0be3d30dbd6646.pdf
The Impact of the Bulk Demand Forecasting System on the Whip Effect in the Supply Chain: A Comparative Approach
Reza
Yousefi
Ph.D, University of Tehran.
author
Mohammad Bagher
Menhaj
Professor, Amirkabir University.
author
text
article
2011
per
An important issue in supply chain management is the whip effect. This indicates an increase in demand volatility as the chain moves. This paper investigates the effect of several classical and intelligent methods on the forecasting process of turbulent demand on the occurrence of the whip effect. The results show that neural networks have more power to model and predict this behavior than conventional classical methods such as exponential smoothing due to nonlinear, oscillatory and even chaotic demand behavior. At the end of the article, using a numerical example, the use of neural networks to predict turbulent demand, in a successful reduction of the whip effect, is illustrated.
Journal of Industrial Management Perspective
Shahid Beheshti University
2251-9874
1
v.
3
no.
2011
29
41
https://jimp.sbu.ac.ir/article_87363_62ad692579c40e9da873851f80dd9ad7.pdf
Presenting a Multi-Objective Linear Planning Model for Optimal Allocation of Iranian Energy Resources
Alieh
Kazemi
Assistant Professor, University of Tehran.
author
Mohamad Reza
Mehregan
Professor, Tehran University.
author
Hamed
Shakouri
Associate Professor, University of Tehran.
author
text
article
2011
per
Using a multi-objective linear planning model, this study investigates the optimal allocation of the country's energy resources to the various sectors of home, business, transportation, industry, agriculture, export, injection to oil reservoirs and power plants as secondary energy producers. Political, economic and environmental goals have also been taken into account. Data from 1346 to 1387 have been used to predict energy demand in different consumption segments and validate the model. Also, according to the targeted subsidies plan, the allocation of oil and gas resources to different sectors of consumption during 2011-2011 has been investigated. The results of this study provide suitable strategies for planners and decision makers to plan appropriately for optimal allocation of energy resources of the country.
Journal of Industrial Management Perspective
Shahid Beheshti University
2251-9874
1
v.
3
no.
2011
43
65
https://jimp.sbu.ac.ir/article_87364_4780ddb6a3b4dd874bd171f85c55254c.pdf
The Impact of Organizational Process Integration and Logistics Lean on Business Performance
Mohesen
Shafie Nikabadi
Assistant Professor Semnan University.
author
ahmad
Jafarian
M.A., Allameh Tabatabaei University.
author
Azam
Jalili
Ph.D student, Allameh Tabatabaei University.
author
text
article
2011
per
The main purpose of this paper is to investigate the impact of integration of organizational processes and logistics on business performance in automotive industry. In this survey study, we first identify the set of dimensions of integration of organizational processes in an appropriate organizational planning system. Then different aspects of logistics lean are identified and after identifying different dimensions in two issues of process integration and logistic lean, we examine the impact of these dimensions on business performance. Identification of different dimensions is done based on confirmatory factor analysis and then with the help of correlation analysis, we will investigate the type of relationship of each dimension determined with business performance in the automotive industry. The results show the impact of three factors of loss reduction, suppliers and supply chain integration on both internal and external dimensions of organizational process integration. The information system is also influenced by the external integration dimension, which can be concluded that logistic leanings increase the integration of organizational processes. Also, both the integration of organizational processes and the logistics leanings enhance the business performance of the enterprise.
Journal of Industrial Management Perspective
Shahid Beheshti University
2251-9874
1
v.
3
no.
2011
67
82
https://jimp.sbu.ac.ir/article_87365_13ff031a7a1a7efccc130d2b8889a18a.pdf
A Model for the Classification of Material and Inventory Items Using the ABC-FUZZY Method (Case Study: Hamoun Panel Construction Company)
Shamsodin
Nazemi
Associate Professor, Ferdosi university.
author
Reza
Shamsaddini
Member of Vali-E-Asr University.
author
Mohammad Hossein
Khorsandi Akbarnejad
کارشناسی ارشد، دانشگاه فردوسی مشهد.
author
text
article
2011
per
Inventories typically consist of at least two categories of items, the first being the major part of the inventory's value, usually not large, and the second being the lesser part of the inventory's value and the number of items Far more than the first batch. Therefore, using a single inventory control method for all of these items does not seem reasonable. In the ABC inventory control system, most attention is focused on the upper class items and the subsequent classes are less important. In this study, according to ABC method 77 items of raw materials were divided into three groups, 11 of which were classified as commodity A, 16 items in category B, and 50 items in category C. Following the criteria of consumption, scarcity and criticality of items, using ABC method and fuzzy classification were used to classify 77 items and it was found that 14 items were very important, 20 items were important and 43 items were in the group. They are not important. Since lack of or in the absence of raw materials in the market can cause problems for manufacturing units, accurate identification of the goods in these three groups can be helpful in planning the purchasing and inventory control system of the companies considering the quality criteria.
Journal of Industrial Management Perspective
Shahid Beheshti University
2251-9874
1
v.
3
no.
2011
83
98
https://jimp.sbu.ac.ir/article_87366_47904f439130104242ab6536b97bff5d.pdf
Application of meta-heuristic algorithms to the logistic integration network distribution model
Hamzeh
Ghojavand
M.A., Shahid Beheshti University.
author
Mostafa
Zandieh
Associate Professor, Shahid Beheshti University.
author
Behrooz
Dorri Nokarani
Professor, Shahid Beheshti University.
author
text
article
2011
per
With the development of the global economy and the spread of e-marketing across countries, how a logistics system is managed efficiently has become a key issue for cost-cutting companies, especially multinationals that are in a tough competitive environment. One of the most suitable areas for integration in logistics networks is the integrated design of direct and reverse logistics networks, which can prevent overlap from the design of separate direct and reverse logistics networks. In this paper, a mixed integer linear programming model for the design of a direct and reverse logistics integrated network with the aim of minimizing costs is presented. Given that the proposed model belongs to the NP-hard category, two algorithms of Memetic algorithm (MA) and TPA group process algorithm are employed to solve the model. The algorithms are compared in terms of the best value of the objective function and the first time to reach the best value of the objective function. Based on the results, the Memtec algorithm was superior in terms of the objective function value and the group process algorithm was superior in terms of time.
Journal of Industrial Management Perspective
Shahid Beheshti University
2251-9874
1
v.
3
no.
2011
99
119
https://jimp.sbu.ac.ir/article_87367_2c318ebe88c54ede12650b6fcc4c7898.pdf
Combining Bird Flight Algorithm and CUL Heuristic Algorithm for On-Demand Two-Dimensional Non-Guilline Cutting Problem
Faezeh
Asadian Ardakani
M.A. Student.
author
Ali
Morovati Sharifabadi
Assistant Professor, Yazd University.
author
text
article
2011
per
In this paper, the problem of two-dimensional shear is investigated with demand. In this case, by cutting large rectangular sheets, the smaller rectangles needed should be produced in a way that minimizes waste or the number of sheets consumed while supplying them. The shear problem is one of the NP-Hard problems that precise methods cannot solve in practice. Therefore, in this paper, using a bird flight algorithm, a meta-heuristic algorithm for solving the two-dimensional shear problem is presented. In order to improve the efficiency of this algorithm and to avoid overlap in the shear problem, the CUL heuristic algorithm was employed. Also, to evaluate the results of the proposed algorithm, a combination of PSO and CUL algorithms (software) was developed that provides the best possible cutting pattern considering the length and width of the home screen and considering the size of the components and the number requested.
Journal of Industrial Management Perspective
Shahid Beheshti University
2251-9874
1
v.
3
no.
2011
121
137
https://jimp.sbu.ac.ir/article_87368_7c27e700093e5225365dd076a71423cd.pdf