Determining decoupling points in a supply chain networks using NSGA II algorithm
Abstract: In the model, we
used the concepts of Lee and Amaral (2002) and Tang and Zhou (2009) and offer a
multi-criteria decision-making model that identify the decoupling points to aim
to minimize production costs, minimize the product delivery time to customer
and maximize their satisfaction.
Design/methodology/approach: We encounter with a triple-objective model
that meta-heuristic method (NSGA II) is used to solve the model and to identify
the Pareto optimal points. The max (min) method was used.
Findings: Our results of using NSGA II to find Pareto optimal solutions
demonstrate good performance of NSGA II to extract Pareto solutions in proposed
model that considers determining of decoupling point in a supply network.
Originality/value: So far, several approaches to model the future have
been proposed, of course, each of them modeled a part of this concept. This
concept has been considered more general in the model that defined in
follow. In this model, we face with a
multi-criteria decision problem that includes minimization of the production
costs and product delivery time to customers as well as customer consistency
maximization.
Keywords: Decoupling Points,
Lean and Agile production system, MTO and MTS strategy, MODM, NSGA II Meta
Heuristic Algorithm
Author: Mina Ebrahimiarjestan,
Guoxin Wang
Journal Code: jptindustrigg170009
