TY - GEN
T1 - Seasonal recruiting policies for table grape packing operations
T2 - 2017 Winter Simulation Conference, WSC 2017
AU - Mesabbah, Mohammed
AU - Rahoui, Siham
AU - Ragab, Mohamed A.F.
AU - Mahfouz, Amr
AU - Arisha, Amr
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/28
Y1 - 2017/6/28
N2 - The packing process is a critical post-harvesting activity in table grape industry. Workers in packing stations are hired under seasonal contracts because of product seasonality and operations labor intensity. Seasonal workers, however, are usually characterized by inconsistent performance, high turnover and experience variation which leads to low productivity and high waste. Few mathematical models were used for evaluating fresh products packing operations, but in a deterministic nature which hinders the complexity and dynamics of the business processes. Hence, a hybrid Discrete Event Simulation (DES) and Agent-Based Modelling (ABM) are employed to evaluate a set of seasonal recruiting policies in a large grape packing station. The paper aims to investigate the impact of workers experience on packing operations efficiency. The model outcomes demonstrate the improvement in operations efficiency and total running cost (about 20% savings) that can be achieved when applying optimal recruiting policies that reduce labors variations.
AB - The packing process is a critical post-harvesting activity in table grape industry. Workers in packing stations are hired under seasonal contracts because of product seasonality and operations labor intensity. Seasonal workers, however, are usually characterized by inconsistent performance, high turnover and experience variation which leads to low productivity and high waste. Few mathematical models were used for evaluating fresh products packing operations, but in a deterministic nature which hinders the complexity and dynamics of the business processes. Hence, a hybrid Discrete Event Simulation (DES) and Agent-Based Modelling (ABM) are employed to evaluate a set of seasonal recruiting policies in a large grape packing station. The paper aims to investigate the impact of workers experience on packing operations efficiency. The model outcomes demonstrate the improvement in operations efficiency and total running cost (about 20% savings) that can be achieved when applying optimal recruiting policies that reduce labors variations.
UR - http://www.scopus.com/inward/record.url?scp=85044524104&partnerID=8YFLogxK
U2 - 10.1109/WSC.2017.8247907
DO - 10.1109/WSC.2017.8247907
M3 - Conference contribution
AN - SCOPUS:85044524104
T3 - Proceedings - Winter Simulation Conference
SP - 1680
EP - 1691
BT - 2017 Winter Simulation Conference, WSC 2017
A2 - Chan, Victor
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 3 December 2017 through 6 December 2017
ER -