TY - GEN
T1 - The worker allocation planning of a medical device distribution center using simulation modelling
AU - Iamsamai, Kittikhun
AU - Wasusri, Thananya
N1 - Publisher Copyright:
© ECMS Zita Zoltay Paprika, Péter Horák, Kata Váradi,Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics (Editors).
PY - 2017
Y1 - 2017
N2 - Medical Devices are essential for medical services. It is very necessary to manage them to be ready for quick responding on the demand of the patients that can be urgent. The case study is a Medical Device Distribution Center in Thailand and its major task is to manage medical devices for its clients starting from receiving to shipping. For the inbound logistics process, there are two types of receiving products. The first type is Goods Receive, which is to receive new products. The second type is Goods Return, which is to receive the returned products from customers. The received products will be sent to five different departments. Each department has a different amount of incoming products for each day. The inequality workload clearly affects the inefficiency of the inbound logistics process. This research is then conducted to reduce the lead time of the inbound logistics process. Discrete event simulation modeling using ARENA was utilized to allocate workers in the inbound process. The new worker allocation plan can reduce the average total inbound logistics process time for all product groups. Moreover, the average utilization of each worker is about 30%-40%.
AB - Medical Devices are essential for medical services. It is very necessary to manage them to be ready for quick responding on the demand of the patients that can be urgent. The case study is a Medical Device Distribution Center in Thailand and its major task is to manage medical devices for its clients starting from receiving to shipping. For the inbound logistics process, there are two types of receiving products. The first type is Goods Receive, which is to receive new products. The second type is Goods Return, which is to receive the returned products from customers. The received products will be sent to five different departments. Each department has a different amount of incoming products for each day. The inequality workload clearly affects the inefficiency of the inbound logistics process. This research is then conducted to reduce the lead time of the inbound logistics process. Discrete event simulation modeling using ARENA was utilized to allocate workers in the inbound process. The new worker allocation plan can reduce the average total inbound logistics process time for all product groups. Moreover, the average utilization of each worker is about 30%-40%.
KW - Inbound logistics process
KW - Simulation
KW - Worker allocation
KW - Worker workload Medical device distribution center
UR - https://www.scopus.com/pages/publications/85021812288
U2 - 10.7148/2017-0176
DO - 10.7148/2017-0176
M3 - Conference contribution
AN - SCOPUS:85021812288
T3 - Proceedings - 31st European Conference on Modelling and Simulation, ECMS 2017
SP - 176
EP - 182
BT - Proceedings - 31st European Conference on Modelling and Simulation, ECMS 2017
A2 - Paprika, Zita Zoltay
A2 - Horak, Peter
A2 - Varadi, Kata
A2 - Zwierczyk, Peter Tamas
A2 - Vidovics-Dancs, Agnes
A2 - Radics, Janos Peter
PB - European Council for Modelling and Simulation
T2 - 31st European Conference on Modelling and Simulation, ECMS 2017
Y2 - 23 May 2017 through 26 May 2017
ER -