A double agents-based model in a make-to-order supply chain (MTOSC), called collaborative single machine earliest/tardiness model (CSET model) is proposed. It integrates Pareto-optimal method with just-in-time principle (JIT) into two intelligent agents for optimizing dynamic supply chain formation and scheduling respectively. This model mainly focuses on improving the sequence timing factor. JIT is able to shorten the waiting time while Pareto-optimality provides a mechanism that each participant won't suffer loss. Combining the two methods, an unprecedented efficiency on supply chain (SC) can be achieved. We have compared how our proposed method performed in various MTOSC formations. The experimental results indicate that CSET model yields time improvement on the SC workflows.
['Yang Hang', 'Simon Fong', 'Zhuang Yan']
Applying Pareto-Optimal and JIT Techniques for Supply Chains