TY - JOUR
T1 - Cost optimization of dynamic service reliability
T2 - A case study of demand fulfillment on enterprise
AU - Mudjahidin, Mudjahidin
AU - Buliali, Joko Lianto
AU - Yuniarto, Muhammad Nur
N1 - Publisher Copyright:
© 2008 The Intelligent Networks and Systems Society.
PY - 2019
Y1 - 2019
N2 - As a system, private industrial network (PIN) could be computed its service reliability for a specific duration time where the service reliability has two cost components (reliability costs and unreliability cost) which opposite and non-linear. Furthermore, in the PIN, service reliability could have the effect to demand, and the demand also influenced by the external factor. For this reason, we propose a computation of service reliability and find the optimized service time, which can minimize the total reliability cost and unreliability cost for a specific duration time. Furthermore, in this proposed model, reliability and external have the effect to demand. Based on the case study, we implement and simulate the model with random service time, and, as an improvement, we simulate again the model by substitute random service time with optimized service time. The simulation results show the different dynamic value of demand, reliability, average reliability, reliability cost and unreliability cost, where the results from the simulation with optimized service time are mostly better than the simulation with random service time. The total reliability cost of service does not all decrease, but the overall total reliability cost decreases, that is $ 3,409,315 became $ 313,595.
AB - As a system, private industrial network (PIN) could be computed its service reliability for a specific duration time where the service reliability has two cost components (reliability costs and unreliability cost) which opposite and non-linear. Furthermore, in the PIN, service reliability could have the effect to demand, and the demand also influenced by the external factor. For this reason, we propose a computation of service reliability and find the optimized service time, which can minimize the total reliability cost and unreliability cost for a specific duration time. Furthermore, in this proposed model, reliability and external have the effect to demand. Based on the case study, we implement and simulate the model with random service time, and, as an improvement, we simulate again the model by substitute random service time with optimized service time. The simulation results show the different dynamic value of demand, reliability, average reliability, reliability cost and unreliability cost, where the results from the simulation with optimized service time are mostly better than the simulation with random service time. The total reliability cost of service does not all decrease, but the overall total reliability cost decreases, that is $ 3,409,315 became $ 313,595.
KW - Demand
KW - Optimized service time
KW - Reliability cost
KW - Service reliability
KW - System dynamics model
KW - Unreliability cost
UR - http://www.scopus.com/inward/record.url?scp=85068551672&partnerID=8YFLogxK
U2 - 10.22266/ijies2019.0831.11
DO - 10.22266/ijies2019.0831.11
M3 - Article
AN - SCOPUS:85068551672
SN - 2185-310X
VL - 12
SP - 100
EP - 110
JO - International Journal of Intelligent Engineering and Systems
JF - International Journal of Intelligent Engineering and Systems
IS - 4
ER -