A hybrid fruit fly optimisation algorithm to solve the flow shop scheduling problems with multi-objectives

Marichelvam, M.K.; Azhagurajan, A.; Geetha, M.

doi:10.1504/ijaip.2017.082971

Cited by 4 publications

(1 citation statement)

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“…Through the abovementioned literature, it can be found that in solving the green and sustainable scheduling problem, existing contributions focus on how to transform multi-objective optimization into single-objective optimization [24][25][26], ignoring the balance of multi-objectives. In addition, these consider the delivery time window [27] without using it as a constraint.…”

Section: Introductionmentioning

confidence: 99%

Promoting Green and Sustainability: A Multi-Objective Optimization Method for the Job-Shop Scheduling Problem

Liao

Wang

2018

Sustainability

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As a result of increasingly serious environmental pollution, it is vital to reduce carbon emissions to achieve green and sustainable development for manufacturing processes. Customer satisfaction, as an important factor affecting enterprise profits, is of great importance in the promotion of sustainable development. Because an accurate delivery time and high delivery rate improve customer satisfaction and enhance an enterprise's competitive advantage in the market, this paper proposes a new optimization method for achieving low carbon emissions, a high delivery rate, and a low cost for a job-shop scheduling problem. The computational results show the negative correlation between assembly cost and carbon emissions, and the positive correlation between assembly cost and delivery time by Pareto optimization. The proposed method, which takes into consideration carbon emissions, greatly supports the objective of achieving a green and sustainable development.

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