Abstract
Performance monitoring is an integral part of broader supply chain management and aims to provide real-time performance for decision making under dynamic conditions. Among many performance measures in supply chain management, on-time delivery is a key measure that is being considered for continuous improvements in recent times. The paper presents a Fuzzy-based decision support model that can monitor on-time delivery using various inputs under supply and demand disruption phenomena. The model is based on an integrated framework of Fuzzy system and integrated processes/network connected through Fuzzy-system reasoning. It is then validated using numerical simulation, based on a single case study of dairy industry. The result shows that model can be used to monitor on-time delivery using variation of demand (forecast and actual), based on main inputs: capacity utilization (influenced by production disruption), raw materials shortage, and quality of dairy products. Based on a simple and cost effective approach, the proposed model minimizes the total cost of production, materials shortage, and delivery. Finally, the importance of real-time performance monitoring is recognized for supply chain management in responding to uncertainties inherited in the operational environment.
| Original language | English |
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| Title of host publication | Proceedings of the 10th ANZAM Operations, Supply Chain and Services Management Symposium, 14-15 June 2012, Melbourne, Victoria |
| Publisher | Monash University |
| Number of pages | 15 |
| ISBN (Print) | 9780646578118 |
| Publication status | Published - 2012 |
| Event | ANZAM Operations, Supply Chain and Services Management Symposium - Duration: 14 Jun 2012 → … |
Conference
| Conference | ANZAM Operations, Supply Chain and Services Management Symposium |
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| Period | 14/06/12 → … |
Keywords
- business logistics
- supply chain management
- fuzzy logic
- performance measures
- stochastic processes