Development of simulation model for 100% screening policy in supply chain management

2021 ◽  
Author(s):  
M. Jeganathan ◽  
S. Ravi Sankar ◽  
K. Karthikeyan ◽  
S. Nagarajan ◽  
G. Hariharan ◽  
...  
Author(s):  
Ibrahim Al Kattan ◽  
Taha Al Khudairi

This paper employs a simulation model in a Supply Chain Management (SCM) system. This study is one of the first to present simulation model of inventory control system in supply chain management using barcode and Radio Frequency Identification (RFID). The main objective of this model is to compare two inventory systems in a supply chain, one using RFID, versus the barcode. The model will help company to consider moving from a barcode system to the RFID application. A quantitative analysis based on a simulation model is developed. The model runs for both systems using ARENA simulation software with a comparison between the two systems. Furthermore, the simulation model is tested by applying three different types of demand for both scenarios. The results have shown that regardless of demand distribution pattern and customer order rate, the outcomes of the model are consistent and provide promising RFID technology adoption to improve inventory control of the entire supply chain system. The installation and unit cost of RFID implementation were estimated and considered to be the main barrier. Such model can offer the policymakers insight into how RFID might improve SCM system performance. Additional test has been conducted for demand with normal and triangular distributions using real data provided by ABC-Dubai Company. The results obtained from running the two models for these distributions are consistent with the original results.


2021 ◽  
Author(s):  
Mohammed Shahbazuddin ◽  
Dr. Terrence. L Chambers

Author(s):  
Ibrahim Al Kattan ◽  
Taha Al Khudairi

This paper employs a simulation model in a Supply Chain Management (SCM) system. This study is one of the first to present simulation model of inventory control system in supply chain management using barcode and Radio Frequency Identification (RFID). The main objective of this model is to compare two inventory systems in a supply chain, one using RFID, versus the barcode. The model will help company to consider moving from a barcode system to the RFID application. A quantitative analysis based on a simulation model is developed. The model runs for both systems using ARENA simulation software with a comparison between the two systems. Furthermore, the simulation model is tested by applying three different types of demand for both scenarios. The results have shown that regardless of demand distribution pattern and customer order rate, the outcomes of the model are consistent and provide promising RFID technology adoption to improve inventory control of the entire supply chain system. The installation and unit cost of RFID implementation were estimated and considered to be the main barrier. Such model can offer the policymakers insight into how RFID might improve SCM system performance. Additional test has been conducted for demand with normal and triangular distributions using real data provided by ABC-Dubai Company. The results obtained from running the two models for these distributions are consistent with the original results.


Author(s):  
Adriana Martínez- Osorio ◽  
Santiago-Omar Caballero- Morales ◽  
Diana Sánchez- Partida ◽  
Patricia Cano- Olivos

Simulation is important to validate quick-response scenarios, providing an extent on how technology can effectively upgrade a process. Thus, computer simulation is a crucial aspect for supply chain management. The present paper analyses a distribution problem which involves inventory supply planning. Then, a simulation model was developed to evaluate its current performance and to provide a better operation scheme. The advances of this work extend on the modelling and simulation of distribution networks that must comply with retailers’ demands at end points.


2021 ◽  
Vol 33 (2) ◽  
Author(s):  
Shiji P ◽  
Kodi Rangaswamy ◽  
Arun Chandramohan

The construction sector is a significant contributor to the Gross Domestic Product of a developing country. Infrastructure improvement plays a vital role in this wherein highway construction is a dynamic sector requiring proper planning and scheduling multiple resources. Appropriate integration among various associated stakeholders is essential for a project’s success, aided by supply chain management. Resource planning is one of the basic concepts in supply chain management, with material and equipment management being the critical area. The main objective of this study is to develop a conceptual supply chain simulation model using ARENA, to analyze the equipment idling and utilization rate, keeping inter-arrival time for dispatch, the number of equipment, and working hours as constant. This model employs the real-time ‘best fit’ material utilization data as input. Material utilization data collected from 62 construction projects are analyzed to arrive at a ‘best fit’ probability distribution. This study’s conceptual supply chain simulation model helps formulate suitable material and equipment delivery plans to lessen risk in construction projects.


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