A study on development of adaptive strategies in dynamic supply chains (proposal and experimental evaluation of order selection methods)

Our previous researches proposed a dynamic supply chain model, which consists of model components such as suppliers, manufacturers, and clients. The model provided a systematic method to determine suitable prices and delivery times of ordered products based on both scheduling processes and negotiation processes among the model components. This research proposes an order selection method using parallel scheduling for suppliers to select a suitable order in a number of orders sent from lower model components in dynamic supply chains. Some heuristic rules are also proposed as other selection methods for suitable orders in the research. The scheduling based selection method is compared with the rule based selection methods though some computational experiments in order to evaluate the effectiveness of the proposed methods.