[HTML][HTML] An investigation into minimising total energy consumption and total weighted tardiness in job shops
Manufacturing enterprises nowadays face the challenge of increasing energy prices and
requirements to reduce their emissions. Most reported work on reducing manufacturing …
requirements to reduce their emissions. Most reported work on reducing manufacturing …
[HTML][HTML] A multi-objective genetic algorithm for optimisation of energy consumption and shop floor production performance
Increasing energy price and requirements to reduce emission are new challenges faced by
manufacturing enterprises. A considerable amount of energy is wasted by machines due to …
manufacturing enterprises. A considerable amount of energy is wasted by machines due to …
Solving the energy-efficient job shop scheduling problem: a multi-objective genetic algorithm with enhanced local search for minimizing the total weighted tardiness …
In recent years, there has been a growing concern over the environmental impact of
traditional manufacturing, especially in terms of energy consumption and related emissions …
traditional manufacturing, especially in terms of energy consumption and related emissions …
Multi-objective genetic algorithm for energy-efficient job shop scheduling
The paper investigates the effects of production scheduling policies aimed towards
improving productive and environmental performances in a job shop system. A green …
improving productive and environmental performances in a job shop system. A green …
A framework to minimise total energy consumption and total tardiness on a single machine
G Mouzon, MB Yildirim - International Journal of Sustainable …, 2008 - Taylor & Francis
A great amount of energy is wasted in industry by machines that remain idle due to
underutilisation. A way to avoid wasting energy and thus reducing the carbon print of an …
underutilisation. A way to avoid wasting energy and thus reducing the carbon print of an …
Reduction of power consumption and carbon footprints by applying multi-objective optimisation via genetic algorithms
Firms heavily emphasise reducing carbon footprint, an area warranting further improvement.
This study examines carbon footprint within the context of production scheduling. Two multi …
This study examines carbon footprint within the context of production scheduling. Two multi …
An energy-efficient multi-objective optimization for flexible job-shop scheduling problem
H Mokhtari, A Hasani - Computers & Chemical Engineering, 2017 - Elsevier
In recent years there has been increased concern on energy efficiency of industries. Since
the scheduling problems in the shop floors are directly related to the energy consumption …
the scheduling problems in the shop floors are directly related to the energy consumption …
Minimizing total carbon footprint and total late work criterion in flexible job shop scheduling by using an improved multi-objective genetic algorithm
In scheduling, previous research attention has been directed towards classical-based
objective functions, while ignoring environmental-based objective functions. The purpose of …
objective functions, while ignoring environmental-based objective functions. The purpose of …
Energy-efficient scheduling of a single batch processing machine with dynamic job arrival times
S Zhou, M Jin, N Du - Energy, 2020 - Elsevier
Research on manufacturing scheduling has historically emphasized production efficiency.
With rising environmental consciousness, manufacturing companies are paying increasing …
With rising environmental consciousness, manufacturing companies are paying increasing …
Multiobjective optimization of energy-efficient job-shop scheduling with dynamic reference point-based fuzzy relative entropy
Energy-efficient production scheduling research has received much attention because of the
massive energy consumption of the manufacturing process. In this article, we study an …
massive energy consumption of the manufacturing process. In this article, we study an …