Designing sustainable supply chain networks under uncertain environments: Fuzzy multi-objective programming

Tsao, Yu‐Chung; Thanh, Vo-Van; Lu, Jye‐Chyi; Yu, Vincent F.

doi:10.1016/j.jclepro.2017.10.272

Cited by 127 publications

(49 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Tsao et al investigated on the forward logistics SCND with the social benefit, environmental effects, and economic cost objectives. The social benefit was interpreted as total created job opportunities in designing the supply chain.…”

Section: Related Studiesmentioning

confidence: 99%

“…Equation (13) denotes that one distribution center or hybrid center could be located at a specific potential point. Equations (14) to (18) state that only one transportation system can be used for each supply chain echelons. Equations (19) to (23) state that a transportation system is used by members of the supply chain, who send products to the next ones.…”

Section: Physical Flow Constraintsmentioning

confidence: 99%

See 1 more Smart Citation

Multiobjective fuzzy mathematical model for a financially constrained closed‐loop supply chain with labor employment

Goli

Zare

Tavakkoli‐Moghaddam

et al. 2019

Computational Intelligence

View full text Add to dashboard Cite

This paper addresses the multiobjective, multiproducts and multiperiod closed‐loop supply chain network design with uncertain parameters, whose aim is to incorporate the financial flow as the cash flow and debts' constraints and labor employment under fuzzy uncertainty. The objectives of the proposed mathematical model are to maximize the increase in cash flow, maximize the total created jobs in the supply chain, and maximize the reliability of consumed raw materials. To encounter the fuzzy uncertainty in this model, a possibilistic programming approach is used. To solve large‐sized problems, the multiobjective simulated annealing algorithm, multiobjective gray wolf optimization, and multiobjective invasive weed optimization are proposed and developed. The numerical results demonstrate that these algorithms solve the problems within about 1% of the required solving time for the augmented ε‐constraint and have similar performance and even better in some cases. The multiobjective simulated annealing algorithm with a weak performance takes less time than the other two algorithms. The multiobjective gray wolf optimization and multiobjective invasive weed optimization algorithms are superior based on the multiobjective performance indices.

show abstract

Section: Related Studiesmentioning

confidence: 99%

Section: Physical Flow Constraintsmentioning

confidence: 99%

Multiobjective fuzzy mathematical model for a financially constrained closed‐loop supply chain with labor employment

Goli

Zare

Tavakkoli‐Moghaddam

et al. 2019

Computational Intelligence

View full text Add to dashboard Cite

show abstract

“…Tsao et al [19] studied SSCN planning under uncertain atmosphere to consider economic costs, environmental impacts and workplace hazard parameters. They used an interactive multi-objective fuzzy programming approach that combines the two-phase stochastic and fuzzy multi-objective programming in the design of an SSCN for measuring social objectives.…”

Section: Literature Reviewmentioning

confidence: 99%

“…However, the model is suitable only for designing SSCNs with a single product and environmental and social impacts. The performance of the model also highly depends on the capacity of facilities opened on the network [19].…”

Section: Literature Reviewmentioning

confidence: 99%

Smart Health and Safety Equipment Monitoring System for Distributed Workplaces

2019

View full text Add to dashboard Cite

This paper presents a design and prototype of an IoT-based health and safety monitoring system using MATLAB GUI. This system, which is called the Smart Health and Safety Monitoring System, is aimed at reducing the time, cost and manpower requirements of distributed workplaces. The proposed system is a real-time control and monitoring system that can access on-line the status of consumable devices in the workplace via the internet and prioritise the critically high location that need replenishing. The system dynamically updates the status of all location, such as first aid boxes, earplug dispensers and fire extinguishers. Simulation results of the proposed system gives shorter path, time and cost in comparison to manual maintenance systems.

show abstract

“…Green supply chain is a management approach that seeks to minimize the environmental and environmental impacts of products and services and social collections. Also, green Supply Chain Management is an integrated supply chain of green purchases from suppliers to manufacturing, customer delivery and reverse logistics [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]18,19,[21][22][23][26][27][28][29][30][31][32][34][35][36][37][38][39][40][41][42][43][44][45]. In addition, the idea of green supply chain management is to eliminate or minimizes waste (energy, greenhouse gas, chemical/hazardous emissions).…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy multi-objective programming approach to develop a green closed-loop supply chain network design problem under uncertainty: Modifications of imperialist competitive algorithm

Fakhrzad

Goodarzian

2019

RAIRO-Oper. Res.

View full text Add to dashboard Cite

The last decade has seen a numerous studies focusing on the closed-loop supply chain. Accordingly, the uncertainty conditions as well as the green emissions of facilities are still open issues. In this paper, a new fuzzy multi-objective programming approach is to present for a production-distribution model in order to develop a multi-product, multi-period and multi-level green closed-loop supply chain network problem, which this model is formulated as multi-objective mixed linear integer programming (MOMILP). In regards to offered fuzzy multi-objective model, three conflicting goals are exited, simultaneously. The objective functions are to minimizing the total cost, minimizing the gas emissions costs due to vehicle movements between centers, and maximizing the reliability of delivery demand due to the reliability of the suppliers. To get closer to real-world applications, the parameters of model are considered by fuzzy numbers. Another novelty of proposed model is in the solution methodology. To solve the model, this study not only uses a well-known Imperialist Competitive Algorithm (ICA) but a number of new modifications of ICA (MICA) also have been provided to address the proposed problem, which is to demonstrate the efficiency and performance of the proposed algorithm with other algorithms included: SA, ICA, ACO, GA, and PSO are compare. Finally, different analyses with a variety of problem complexity in different sizes are performed to assess the performance of algorithms as well as some sensitivity analyses on the efficiency of model are studied.

show abstract

Designing sustainable supply chain networks under uncertain environments: Fuzzy multi-objective programming

Cited by 127 publications

References 32 publications

Multiobjective fuzzy mathematical model for a financially constrained closed‐loop supply chain with labor employment

Multiobjective fuzzy mathematical model for a financially constrained closed‐loop supply chain with labor employment

Smart Health and Safety Equipment Monitoring System for Distributed Workplaces

A Fuzzy multi-objective programming approach to develop a green closed-loop supply chain network design problem under uncertainty: Modifications of imperialist competitive algorithm

Contact Info

Product

Resources

About