Abstract
With the improvement of enterprise services, location-routing-inventory problem with time window constraint (LRIPTW) has become an essential problem in cold chain logistics network (CCLN). This paper aims to optimize the location cost, inventory cost, transportation cost, and penalty cost in CCLN simultaneously. Firstly, an optimization model was established for the LRIP with soft time window constraint (STW). Then, the multi-objective ant colony optimization (MACO) was improved to solve the model. Simulation results show that the improved MACO can solve the LRIPSTW effectively and efficiently. The research findings provide a reference for enterprises to reduce total cost and improve service quality.
Funder
China education ministry humanities and social science research youth fund project
Social science project in Hunan province
Publisher
International Information and Engineering Technology Association
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Computer Science Applications,Control and Systems Engineering
Cited by
7 articles.
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