Bi-Objective Mixed Integer Nonlinear Programming Model for Low Carbon Location-Inventory-Routing Problem with Time Windows and Customer Satisfaction

In order to support a low-carbon economy and manage market competition, location–inventory–routing logistics management must play a crucial role to minimize carbon emissions while maximizing customer satisfaction. This paper proposes a bi-objective mixed-integer nonlinear programming model with time...

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Vydané v:	Mathematics (Basel) Ročník 12; číslo 15; s. 2367
Hlavní autori:	Liu, Lihua, He, Aneng, Tian, Tian, Lee, Lai Soon, Seow, Hsin-Vonn
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.08.2024
Predmet:	Algorithms Brand loyalty Carbon carbon trading scheme Case studies Cost analysis Costs Customer satisfaction Emissions trading Energy consumption Entropy (statistics) entropy–TOPSIS Genetic algorithms Greenhouse gases Integer programming Inventory Inventory control location inventory routing Logistics management Maximization Mixed integer Nonlinear programming Normal distribution NSGA-II Operating costs Optimization Pareto optimum Random variables Sensitivity analysis Sorting algorithms Supply chains Weighting methods Windows (intervals) China Malaysia
ISSN:	2227-7390, 2227-7390
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