Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 291–322 |
| Number of pages | 32 |
| Journal | Journal of Information and Communication Technology |
| Volume | 18 |
| Issue number | 2 |
| Publication status | Published - 30 Apr 2018 |
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Keywords
- agent-based simulation
- customer production disruptions
- flow-shops
- heuristic optimisation algorithm
- manufacturing systems
Cite this
Developing an Agent Based Heuristic Optimisation System for Complex Flow Shops with Customer-Imposed Production Disruptions. / Adediran, Tunde Victor; Al Bazi, Ammar.
In: Journal of Information and Communication Technology, Vol. 18, No. 2, 30.04.2018, p. 291–322.Research output: Contribution to journal › Article
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TY - JOUR
T1 - Developing an Agent Based Heuristic Optimisation System for Complex Flow Shops with Customer-Imposed Production Disruptions
AU - Adediran, Tunde Victor
AU - Al Bazi, Ammar
PY - 2018/4/30
Y1 - 2018/4/30
N2 - The study of complex manufacturing flow-shops has seen a number of approaches and frameworks proposed to tackle various production-associated problems. However, customer demand changes in the required delivery date, sequence of delivery or cancellation of orders cause disruptions to supplier flow-shops that impact production processes and inventory control, calling for a more adaptive approach capable of responding to these changes. In this research work, a new adaptive framework and agent-based heuristic optimization system are developed to investigate the disruption consequences and recovery strategy. A case study using an Original Equipment Manufacturer (OEM) production process for automotive parts and components is adopted to justify the proposed system. The results of the experiment revealed significant improvement in terms of the total number of late orders, order delivery time, number of setups, and resource utilization, which provides useful information for the decision-making policies of manufacturers.
AB - The study of complex manufacturing flow-shops has seen a number of approaches and frameworks proposed to tackle various production-associated problems. However, customer demand changes in the required delivery date, sequence of delivery or cancellation of orders cause disruptions to supplier flow-shops that impact production processes and inventory control, calling for a more adaptive approach capable of responding to these changes. In this research work, a new adaptive framework and agent-based heuristic optimization system are developed to investigate the disruption consequences and recovery strategy. A case study using an Original Equipment Manufacturer (OEM) production process for automotive parts and components is adopted to justify the proposed system. The results of the experiment revealed significant improvement in terms of the total number of late orders, order delivery time, number of setups, and resource utilization, which provides useful information for the decision-making policies of manufacturers.
KW - agent-based simulation
KW - customer production disruptions
KW - flow-shops
KW - heuristic optimisation algorithm
KW - manufacturing systems
M3 - Article
VL - 18
SP - 291
EP - 322
JO - Journal of Information and Communication Technology
JF - Journal of Information and Communication Technology
SN - 1675-414X
IS - 2
ER -