TY - GEN
T1 - Simulation-Based Analyses and Improvements of the Smart Line Management System in Canned Beverage Industry
T2 - A Case Study in Europe
AU - Attar, Ahmad
AU - Jin, Yuqing
AU - Luis, Martino
AU - Zhong, Shuya
AU - Sucala, Voicu Ion
PY - 2024/1/31
Y1 - 2024/1/31
N2 - Canned water is one of the thriving markets in the food and beverage industry. Given the tight competition in this market, realistic analysis in such production lines has become even more attractive for all participating parties. In this paper, we apply a KPI-driven simulation-based approach to a smart production plant of a key player in the European beverage market. The project covers realistic discrete-event modeling and analysis of the system together with the suggested scenario-based optimization for performance improvement. Here, the smart line management system is modeled and re-coded while considering machine characteristics, failures, and their overall influence on the production process. Our proposed optimized scenario demonstrates noticeably better results in all performance indicators when compared to the existing state of the system. The total increment of the production speed reaches up to 45 percent, resource utilization is evenly optimal, and the overall work-in-progress inventory is reduced significantly.
AB - Canned water is one of the thriving markets in the food and beverage industry. Given the tight competition in this market, realistic analysis in such production lines has become even more attractive for all participating parties. In this paper, we apply a KPI-driven simulation-based approach to a smart production plant of a key player in the European beverage market. The project covers realistic discrete-event modeling and analysis of the system together with the suggested scenario-based optimization for performance improvement. Here, the smart line management system is modeled and re-coded while considering machine characteristics, failures, and their overall influence on the production process. Our proposed optimized scenario demonstrates noticeably better results in all performance indicators when compared to the existing state of the system. The total increment of the production speed reaches up to 45 percent, resource utilization is evenly optimal, and the overall work-in-progress inventory is reduced significantly.
UR - https://www.scopus.com/pages/publications/85185370273
U2 - 10.1109/WSC60868.2023.10407288
DO - 10.1109/WSC60868.2023.10407288
M3 - Chapter in a published conference proceeding
SN - 9798350369670
T3 - Proceedings - Winter Simulation Conference
SP - 2124
EP - 2135
BT - 2023 Winter Simulation Conference, WSC 2023
PB - IEEE
ER -