scholarly journals Implementation of system dynamic simulation method to optimize profit in supply chain network of vegetable product

2018 ◽  
Vol 337 ◽  
pp. 012014
Author(s):  
I P Tama ◽  
Z Akbar ◽  
A Eunike
Keyword(s):  
Supply Chain ◽  
Dynamic Simulation ◽  
Simulation Method ◽  
System Dynamic ◽  
Supply Chain Network ◽  
System Dynamic Simulation ◽  
Vegetable Product

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.

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.

scholarly journals A review: hybrid simulation in forestry supply chain

2021 ◽  
Vol 912 (1) ◽  
pp. 012009
Author(s):  
N Sembiring ◽  
H L Napitupulu ◽  
M T Sembiring ◽  
A Ishak ◽  
F Irwany
Keyword(s):  
Supply Chain ◽  
Experimental Testing ◽  
Hybrid Simulation ◽  
Simulation Method ◽  
Scientific Article ◽  
Supply Chain Network ◽  
Supply Chain Optimization ◽  
Production Methods ◽  
Time Period ◽  
Forestry Sector

Abstract Changes in supply chain availability in the forestry sector can significantly change efficiency responsiveness. This forestry supply chain network involves various processes such as harvesting, energy generation, wood, paper and board production. Methods that can be used to perform supply chain optimization are hybrid modelling and simulation. Substructure techniques with experimental testing methods that target numerical component conductors with communication loop components as well as transfer systems to form an entire system commonly referred to as Hybrid Simulation. In this study, we aim to find solutions so that the supply chain network in the forestry sector is not cut off by using hybrid simulation method. Hybrid simulations used can take into account when the supply chain will run out and prevent excessive exploitation so as to repair damage and recycle the supply chain so that it is not disconnected until the time period is taken into account. Each scientific article is rigorously selected to obtain articles that align with the purpose of this research.

Economic and Environmental Assessment of Spare Parts Production Using Additive Manufacturing

2019 ◽  
pp. 159-181
Author(s):  
Atanu Chaudhuri ◽  
Dennis Massarola
Keyword(s):  
Supply Chain ◽  
Additive Manufacturing ◽  
Dynamic Simulation ◽  
Environmental Sustainability ◽  
Selective Laser Sintering ◽  
Spare Part ◽  
Spare Parts ◽  
Logistics System ◽  
Supply Chain Costs ◽  
System Dynamic Simulation

This chapter aims to investigate the potential economic and environmental sustainability outcomes of additive manufacturing (AM) for spare parts logistics. System dynamic simulation was conducted to analyze the sustainability of producing a spare part used in a railways subsystem using a particular additive manufacturing (AM) technology (i.e., selective laser sintering [SLS]) compared to producing it using injection molding. The results of the simulation showed that using SLS for the chosen part is superior to the conventional one in terms of total variable costs as well as for carbon footprint. Compared to the conventional supply chain, for the AM supply chain, the costs of the supplier reduces by 46%, that of the railways company reduces by 71%, while the overall supply chain costs reduce by 61.9%. The carbon emissions in the AM supply chain marginally reduces by 2.89% compared to the conventional supply chain.

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