A Weighted Multi-Objective Mathematical Model for Cell Scheduling and Environmentally Sustainable Supply Chain Network

Sinaki, Roohollah Younes; Sadeghi, Azadeh; Süer, Gürsel A.; Çelikbilek, Can

doi:10.1016/j.promfg.2020.01.290

Cited by 9 publications

(3 citation statements)

References 10 publications

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“…For example, scholars Tanimizu and Amano [62] proposed a new comprehensive scheduling method for production and transportation problems based on the green supply chain network model to reduce carbon dioxide emissions. Scholar Sinaki et al [63] proposed a multi-objective programming model, which is used to integrate production scheduling and environmentally sustainable supply chain networks to obtain optimal satisfaction.…”

Section: Literature Reviewmentioning

confidence: 99%

Hybrid Optimization of Green Supply Chain Network and Scheduling in Distributed 3D Printing Intelligent Factory

Jin

Cheng

2023

Sustainability

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Considering the advantages of 3D printing, intelligent factories and distributed manufacturing, the 3D printing distributed intelligent factory has begun to rise in recent years. However, because the supply chain network of this kind of factory is very complex, coupled with the impact of customized scheduling and environmental constraints on the enterprise, the 3D printing distributed intelligent factory is facing the great challenge of realizing green supply chain networks and optimizing production scheduling at the same time, and thus a theoretical gap appears. This paper studies the hybrid optimization of green supply chain networks and scheduling of the distributed 3D printing intelligent factory. Firstly, according to the green supply chain network architecture of the distributed 3D printing intelligent factory, the cost minimization model is constructed. Secondly, mathematical software is used to solve the model, and the scheduling plan can be worked out. Finally, through the simulation analysis, it is concluded that the influencing factors such as demand, factory size and production capacity complicate the production distribution, and it can be observed that the carbon emission cost has gradually become the main factor affecting the total cost. The study has a reference value for the management decision making of the distributed 3D printing intelligent factory under the background of carbon emissions.

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Section: Literature Reviewmentioning

confidence: 99%

Hybrid Optimization of Green Supply Chain Network and Scheduling in Distributed 3D Printing Intelligent Factory

Jin

Cheng

2023

Sustainability

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“…e investment reduces the carbons emitted per replenishment and per unit produced. Sinaki et al [12] presented a weighted multiobjective mixed-integer-nonlinear programming model to 2…”

Section: Literature Reviewmentioning

confidence: 99%

Enterprise Production and Emission Reduction Strategy under Carbon Emission Constraint

Zhang¹,

2021

Mathematical Problems in Engineering

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According to China’s 14th Five-Year Development Plan, China aims to peak its carbon emissions by 2030 and achieve carbon neutral by 2060, which will be a major strategy for China to implement in the coming period of time. All kinds of industries need to take the industry characteristics into account and gradually form relative carbon reduction targets according to the National Carbon Summit Action Program. Under the constraints of carbon emission reduction, enterprises face trade-off when making emission reduction decisions. How to systematically optimize the profitable and environmentally friendly decisions, under the consideration of carbon emission production, is gradually becoming a main concern of regulated enterprises. In this paper, a Cournot game model is constructed to explore optimal production carbon abatement decisions for two oligopolistic firms, under the governance of a cap-and-trade mechanism. Real case data collected from China’s airlines is an example to test the validity of our model. The qualitative analysis shows that, through a reasonable output and emission reduction investment, companies are capable of efficiently minimizing the negative impact brought about by the carbon trading system. A numerical experiment indicates that the companies on one side can reach a decision equilibrium in some circumstances, but on the other side, there exists a lack of incentive to reduce their emissions. Additional government incentives or increased investment in technological improvements will be needed to encourage companies to further reduce carbon emissions. In this paper, while analyzing the choice of emission reduction strategy for enterprises under the carbon trading system, it also provides effective emission reduction approaches for the government and industry managers, hoping to provide some references for the establishment of emission reduction system and policy formulation.

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“…Cell scheduling is one of the most important management problems in the cellular manufacturing system, and has received extensive attentions and investigations. For example, Feng et al [2] establish a mixed integer programming model for cell scheduling and use a genetic algorithm to solve it, while Sinaki et al [3] solve the established weighted multi-objective cell scheduling model with Lingo. For a long time, research on cell manufacturing systems has usually focused on the performance indicators related to efficiency and output.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Optimization Method for Manufacturing Cell Scheduling with Random Interruptions Based on Improved Wolf Pack Algorithm and Simulation

Zhao

Hong

2022

J. Phys.: Conf. Ser.

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Cell scheduling is an important issue in the cell manufacturing system. Considering the problems of machine interruption and energy consumption, this paper establishes a stochastic optimization model to minimize the makespan as well as the cost of energy consumption during machine idling and the interruption cost. A hybrid algorithm, based on the wolf pack algorithm (WPA) and simulation, is proposed to solve the problem. In order to deal with the problems of slow convergence speed and easily falling into a local optimum which often happens for the standard WPA, the iterative local search strategy, Cauchy mutation strategy, and Gaussian disturbance are introduced into the search process of WPA to improve its performance. The solution with stochastic parameters is evaluated via simulation. Numerical experiments demonstrate that the proposed hybrid algorithm shows a good performance in both solution quality and convergence speed, and a satisfactory solution to the problem can be reached within a reasonable number of iterations.

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A Weighted Multi-Objective Mathematical Model for Cell Scheduling and Environmentally Sustainable Supply Chain Network

Cited by 9 publications

References 10 publications

Hybrid Optimization of Green Supply Chain Network and Scheduling in Distributed 3D Printing Intelligent Factory

Hybrid Optimization of Green Supply Chain Network and Scheduling in Distributed 3D Printing Intelligent Factory

Enterprise Production and Emission Reduction Strategy under Carbon Emission Constraint

A Hybrid Optimization Method for Manufacturing Cell Scheduling with Random Interruptions Based on Improved Wolf Pack Algorithm and Simulation

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