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A literature review on green supply chain modelling for optimising CO2 emission
Global warming impacts are becoming more visible in our daily life. Supply chain activities
and many logistics activities are the leading sources of carbon dioxide (CO2) emission and …
and many logistics activities are the leading sources of carbon dioxide (CO2) emission and …
A new belief Markov chain model and its application in inventory prediction
Z He, W Jiang - International Journal of Production Research, 2018 - Taylor & Francis
The Markov chain model is widely applied in many fields, especially the field of prediction.
The discrete-time Markov chain (DTMC) is a common method for prediction. However, the …
The discrete-time Markov chain (DTMC) is a common method for prediction. However, the …
An integrated production-distribution planning in green supply chain: a multi-objective evolutionary approach
The goal of this research is to develop a novel multi-objective mathematical model in a
green supply chain network consisting of manufacturers, distribution centers and dealers in …
green supply chain network consisting of manufacturers, distribution centers and dealers in …
A tuned NSGA-II to optimize the total cost and service level for a just-in-time distribution network
Distribution network planning has attracted the attention of many studies during last
decades. Just-in-time (JIT) distribution has a key role in efficient delivery of products within …
decades. Just-in-time (JIT) distribution has a key role in efficient delivery of products within …
Optimizing a Just-In-Time logistics network problem under fuzzy supply and demand: two parameter-tuned metaheuristics algorithms
Abstract Just-In-Time (JIT) is a popular philosophy in many industrial practices. The concept
of JIT in early studies concerned with improving operational efficiency and waste …
of JIT in early studies concerned with improving operational efficiency and waste …
Impact of endogenous demand on cost of quality in the automotive industry
K Emerschitz, A Größler - International Journal of …, 2024 - inderscienceonline.com
Despite a great deal of effort, companies in the automotive industry frequently fail to reduce
their overall cost of quality. While the efficiency of quality inspections can be determined via …
their overall cost of quality. While the efficiency of quality inspections can be determined via …
[PDF][PDF] Optimized computational techniques-based inventory control process in supply chain management
HA Tarish - Turkish Journal of Computer and Mathematics …, 2021 - researchgate.net
Now-a-days most of the business process focuses on the supply chain management (SCM)
process [1] because it provides several raw materials, products to the business process with …
process [1] because it provides several raw materials, products to the business process with …
[PDF][PDF] Análise de planejamento e controle da produção baseada na simulação de um processo produtivo utilizando um modelo híbrido de MRP e Kanban
J Bianchini, GH Darú, SLT Berger… - Journal of Lean …, 2018 - academia.edu
Selecionar o conjunto de ferramentas mais apropriadas para o planejamento e controle da
produção não é uma tarefa fácil. No entanto, nos últimos anos, aumentou a compreensão …
produção não é uma tarefa fácil. No entanto, nos últimos anos, aumentou a compreensão …
Multi-objective genetic algorithm in green just-in-time logistics
A Memari, R Ahmad - 2014 IEEE international conference on …, 2014 - ieeexplore.ieee.org
This paper addresses a mixed-integer linear programming model by integrating just-in-time
delivery along with green objectives in a logistics network. Multi-objective genetic algorithm …
delivery along with green objectives in a logistics network. Multi-objective genetic algorithm …
Analysis of production planning and control based on the simulation of a production process using a hybrid MRP and Kanban model
J Bianchini, GH Darú, SLT Berger - Journal of Lean Systems, 2018 - ojs.sites.ufsc.br
Selecting the most appropriate set of tools for production planning and control is not an easy
task. However, in recent years, the understanding of which tools are most appropriate for …
task. However, in recent years, the understanding of which tools are most appropriate for …