An approach for rush order acceptance decisions using simulation and multi-attribute utility theory

作者：Aqlan Faisal^*; Ahmed Abdulaziz; Ashour Omar; Shamsan Abdulrahman; Hamasha Mohammad M

来源：European Journal of Industrial Engineering, 2017, 11(5): 613-630.

DOI：10.1504/EJIE.2017.087680

• rush orders
• push-pull production system
• discrete event simulation
• DES
• multi-attribute utility theory
• MAUT

Rush orders are orders with shorter lead times and higher operating priorities compared to regular orders. A company may accept rush order, regardless of its capacity or raw material constraints, to maintain customer satisfaction and/or increase profit. On the other hand, rush orders can cause problems in managing production systems due to the unbalanced use of system resources. In this paper, discrete event simulation (DES) and multi-attribute utility theory (MAUT) are integrated to study the impact of rush orders on the performance of a hybrid push-pull production system. The proposed approach is used to identify the best acceptance levels of rush orders. Numerical results showed that prioritising customer orders based on their associated utilities can improve the performance of a production system. In addition, the best acceptance levels of rush orders can be determined by maximising the performance of the production system while considering production constraints.

• 出版日期2017