Ali Mohamadi; Habibollah Ranaee; Abbas Abbasi; Hossein Karami
Volume 21, Issue 2 , September 2017, , Pages 89-112
Abstract
It is important to identify sources of industrial investment growth from policy planning perspective, due to importance of manufacturing industries as the engine of economic development. SME formation is one of these sources that its impact on investment process with various methods has been studied. ...
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It is important to identify sources of industrial investment growth from policy planning perspective, due to importance of manufacturing industries as the engine of economic development. SME formation is one of these sources that its impact on investment process with various methods has been studied. However, each of these studies used their specific angle and in some cases, these studies have reached different conclusions. On the other hand, many of the previous studies have applied statistical approaches and short-term, medium-term and long-term consequences of the solutions that have proposed by these studies has not considered at the same time. Therefore to address this deficiency, the holistic approach (system thinking) used to study impact of SME formation on investment growth. System Dynamics (SD) method used as a tool for implementing system thinking approach in order to use its capabilities in complex systems modeling and for achievng suitable results from simulation model. The population is Fars province in Period of 1360-1410. Vensim software has used for modeling and simulating. The results from the simulation of designed model showed, there is direct and interactive relationship between SME formation and amount of industrial investment.
Jalil Heidary Dahooie; Seyed Mojtaba Sajadi; Fereshteh Tavan
Volume 19, Issue 3 , September 2015, , Pages 7-35
Abstract
In today's competitive world, production and inventory control in small and medium enterprises (SME) is considered as an important issue by managers, because of the influence of factors such as fluctuations in demand and failure of machines. Network Failure Prone Manufacture Systems (NFPMs) are type ...
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In today's competitive world, production and inventory control in small and medium enterprises (SME) is considered as an important issue by managers, because of the influence of factors such as fluctuations in demand and failure of machines. Network Failure Prone Manufacture Systems (NFPMs) are type of production systems that failure of machines is assumed for them. In this paper, a multi-product network failure manufacturing system with perishable items is studied. The production control policy is based on the hedging point policy that contains producing and maintaining of products in order to respond to demand and avoid shortages. In this system, demand is constant and shortages (backlog and lost sale) have been allowed. The main goal of this paper is to determine the optimal production rates that minimize expected value of total production, holding, shortage, and perishable costs. Because of uncertainly and complexity of these systems, simulation optimization has been done using ARENA software. Finally, numerical example will show the efficiency of the proposed approach.
