Improving the Efficiency of Manufacturing Supply Chain Using System Dynamic Simulation

2014 ◽  
Vol 69 (2) ◽  
Author(s):  
Narjes Sadeghiamirshahidi ◽  
Jafar Afshar ◽  
Ali Reza Firouzi ◽  
Syed Ahmad Helmi Syed Hassan
Keyword(s):  
Supply Chain ◽  
Simulation Model ◽  
Dynamic Simulation ◽  
System Dynamic ◽  
Customer Demand ◽  
Supply Chain System ◽  
Operational Conditions ◽  
Supply Chain Networks ◽  
Manufacturing Supply Chain ◽  
System Dynamic Simulation

Supply chain is a network of different business units which focuses on integration among all units in order to produce and distribute end products to the customer. Nowadays, due to increased uncertainty in customer demand, it is necessary to be sure that the supply chain networks operate as efficient as possible in order to satisfy the customer demand at the lowest cost. Enhancing the efficiency of the supply chain necessitates the interaction between different members of the supply chain which can be achieved through supply chain management. Hence, the development of modeling approach in order to understand and analyze the dynamic behavior of supply chains is brought into consideration. This paper proposes a system dynamic simulation model for manufacturing supply chain. System dynamic is used as suitable method to understand and analyze the interactions of various components via feedback structure. The objective of this paper is to simulate the manufacturing supply chain of an electronic manufacturing company in Malaysia. The simulation model is used to study the system’s behavior (in terms of production rate, inventory levels, and backlog orders) under two different operational conditions (named as fixed and varied capacity policies) and compare their efficiency in terms of total cost. The analysis shows that the proposed operational condition, which is varied capacity policy, improves the system efficiency in terms of cost.

A System Dynamic Model for the Environmental Performance Index of Malaysia

2012 ◽  
Vol 518-523 ◽  
pp. 1062-1071 ◽  
Author(s):  
Margaret Chan Kit Yok ◽  
Yap Bee Wah ◽  
Ting Siew King ◽  
Wong Mui Hung ◽  
Elly Lawai
Keyword(s):  
Simulation Model ◽  
Dynamic Model ◽  
Dynamic Simulation ◽  
Performance Index ◽  
Environmental Performance ◽  
System Dynamic ◽  
System Dynamic Model ◽  
Environmental Performance Index ◽  
Dynamic Simulation Model ◽  
System Dynamic Simulation

The Third Principle which is pertaining to the right to development in Agenda 21 of the Rio Declaration or Earth Summit asserts that it must be fulfilled so that development must be sustainable which has been defined as development that meets the needs of the present without compromising the ability of future generations to meet their own need. Among the various models of environmental sustainability comparative studies was the Environmental Performance Index (EPI) model. Malaysia was ranked 54 recording a score of 65 and ranked 10 among the Asia and Pacific Countries behind two ASEAN countries: Singapore and Philippines. The environmental indicators from 2010 EPI was therefore used to develop the System Dynamics Simulation Model to provide the framework and procedure for qualitative and quantitative description, exploration and analysis of the systems in terms of their processes, information boundaries and strategies, facilitating quantitative simulation modeling for policy evaluation and predictions pertinent to sustainability. The System Dynamic Simulation Model developed for the EPI of Malaysia changed the static presentation to a dynamic scenario. Two very important components were considered: the contribution and the impact of population and the industrial activities indicated as the Industrial Productivity Index. The simulated EPI of 66.51 was shown to differ slightly from the EPI 2010 of 65 attributed to the inclusion of the population and the industrial production factors in the system dynamic model, in which the later study did not compute the EPI with respect to the two factors. Thus, the System Dynamic Simulation Model developed has shown to be reliable and be used for any country to simulate EPI for future trends.

DYNAMIC SIMULATION MODEL FOR SUSTAINABLE MUNICIPALITY DEVELOPMENT IN VIDZEME REGION, LATVIA

2017 ◽  
Vol 2 ◽  
pp. 11
Author(s):  
Aigars Andersons ◽  
Sarmite Rozentale
Keyword(s):  
Sustainable Development ◽  
Simulation Model ◽  
Dynamic Simulation ◽  
Evaluation Process ◽  
Monitoring And Evaluation ◽  
Simulation Modelling ◽  
Development Planning ◽  
System Dynamic ◽  
Dynamic Simulation Model ◽  
System Dynamic Simulation

Authors in this research paper publish the results of system dynamic simulation modelling in the field of sustainable development planning, monitoring and evaluation for all 26 Latvia Vidzeme region municipalities. As the most notable research outcome, authors created original socio-technical system dynamic simulation model in STELLA modelling environment valid for sustainable development evaluation purposes. After successful verification and validation process of this model authors reached the significant results for improved methodology of dynamic systems evaluation process reliability of sustainable development in Vidzeme region municipalities. Methodology, proposed by authors roots into the quantitative statistical data analysis and system dynamic process simulation modelling.

Improving the Inventory Levels of a Blood Supply Chain Through System Dynamic Simulation

2014 ◽  
Vol 69 (6) ◽  
Author(s):  
Jafar Afshar ◽  
Narjes Sadeghiamirshahidi ◽  
Ali Reza Firouzi ◽  
Seyed Mojib Zahraee ◽  
Syed Ahmad Helmi Syed Hassan
Keyword(s):  
Supply Chain ◽  
Dynamic Simulation ◽  
Blood Supply ◽  
Lead Time ◽  
System Dynamic ◽  
Average Level ◽  
Blood Supply Chain ◽  
Dynamic Simulation Model ◽  
In Transit ◽  
System Dynamic Simulation

The blood supply chain is a complex system with a multi-echelon structure. Hence, the integration of various interconnected elements, which should be synchronized appropriately, is a necessity to meet the patients’ requirements. The performance of the blood supply chain is a function of different variables that are dependent of each other. Therefore, the main aim of the chain is the optimization of the overall supply chain by considering the dynamic behavior of the system. The purpose of this study is to develop a system dynamic simulation model for a complex blood supply chain in order to improve the average level of inventories. The developed model is based on three echelons with a centrality on a regional blood center. The performance of the supply chain network in the current condition is investigated and based on the objectives, 17 scenarios were experimented for improving the average level of inventories to avoid outdates while there are not any backlogged orders. In addition, the best values of the investigated parameters (safety stock, supplier preparing lead time, in transit time and separation time) were determined.

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