Kai-Ling Mak

TL;DR: In this article, a review of research into the impacts of sharing production information on the supply chain dynamics is presented, and a loose reference framework is proposed to reflect major elements commonly involved in this type of research, including the decision level investigated, supply chain structure, research questions addressed, factors involved, and findings and insights from the managerial perspective obtained.

TL;DR: In this article, two mathematical models are developed for an inventory system in which the units are deteriorating at a constant rate and the demand rate decreases negative exponentially, and the optimal replenishment policies are determined for both cases.

TL;DR: The experimental results indicate that the ACO algorithm can effectively solve the IPPS problems and the agent-based implementation can provide a distributive computation of the algorithm.

TL;DR: In this paper, the impact of different levels of sharing information on inventory replenishment of enterprises in three-stage distribution supply chains of the divergent type is investigated in terms of several performance indicators through a multi-agent-based simulation model.

TL;DR: In this paper, an adaptive genetic approach is proposed as an effective means of providing the optimal solution to the manufacturing cell formation problem in the design of cellular manufacturing systems, which generates the optimal formation of machine cells and part families by sequencing the rows and columns of a machine-part incidence matrix, so as to maximise the bond energy of the incidence matrix.