Optimizing multi-supplier multi-item joint replenishment problem for non-instantaneous deteriorating items with quantity discounts.

ABSTRACT: This paper deals with a new joint replenishment problem, in which a number of non-instantaneous deteriorating items are replenished from several suppliers under different quantity discounts schemes. Involving both joint replenishment decisions and supplier selection decisions makes the problem to be NP-hard. In particular, the consideration of non-instantaneous deterioration makes it more challenging to handle. We first construct a mathematical model integrated with a supplier selection system and a joint replenishment program for non-instantaneous deteriorating items to formulate the problem. Then we develop a novel swarm intelligence optimization algorithm, the Improved Moth-flame Optimization (IMFO) algorithm, to solve the proposed model. The results of several numerical experiments ana

SUBMITTER: Ai X 

PROVIDER: S-EPMC7870053 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature