Bi-objective integrating sustainable order allocation and sustainable supply chain network strategic design with stochastic demand using a novel robust hybrid multi-objective metaheuristic

Govindan, Kannan; Jafarian, Ahmad; Nourbakhsh, Vahid

doi:10.1016/j.cor.2014.12.014

Cited by 202 publications

(98 citation statements)

References 100 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The rst group concentrates on the forward logistics [8][9][10][11][12][13][14][15][16]. The main goal of these papers is to design the network of facilities to operate in forward logistics.…”

Section: Categorizing Based On Supply Chain Logisticsmentioning

confidence: 99%

Integrated and Dynamic Design of Sustainable Closed-loop Supply Chain Network Considering Pricing

Nobari

Kheirkhah

2017

Scientia Iranica

View full text Add to dashboard Cite

KEYWORDSDynamic supply chain network design; Integrated planning; Sustainability; Pricing; Pareto-based multi-objective metaheuristic algorithm.Abstract. In this paper, a novel multi-objective model for dynamic and integrated network design of sustainable closed-loop supply chain network is proposed, which aims to optimize economic, environmental, and social concerns, simultaneously. In order to have a dynamic design, multiple strategic periods are considered during the planning horizon. Furthermore, di erent short-term decisions are integrated with long-term decisions related to the network design problem. Two of these short-term decisions determine selling price of products in forward logistics and buying price of used products from customer zones in reverse logistics. Due to the complexity of the proposed multi-objective model, a MultiObjective Imperialist Competitive Algorithm (MOICA) is proposed to solve the model, and the results are compared with a non-dominated sorting genetic algorithm (NSGA-II). Finally, to evaluate the performance of proposed algorithm, several numerical examples are used of which the results indicate the e ciency of the proposed algorithm.

show abstract

Section: Categorizing Based On Supply Chain Logisticsmentioning

confidence: 99%

Integrated and Dynamic Design of Sustainable Closed-loop Supply Chain Network Considering Pricing

Nobari

Kheirkhah

2017

Scientia Iranica

View full text Add to dashboard Cite

show abstract

“…However, hybrid algorithms have received considerable attention recently. For instance, Govindan et al (2015) combined multi-objective electromagnetism mechanism algorithm and adapted multi-objective variable neighborhood search; Bandyopadhyay and Bhattacharya (2013) proposed a modified NSGA-II; Diabat (2014) also combined genetic algorithm with simulated annealing algorithm.…”

Section: Multi-objective Optimization Problem In Scmentioning

confidence: 99%

A meta-heuristic approach supported by NSGA-II for the design and plan of supply chain networks considering new product development

et al. 2017

View full text Add to dashboard Cite

There are many reasons for the growing interest in developing new product projects for any firm. The most embossed reason is surviving in a highly competitive industry which the customer tastes are changing rapidly. A well-managed supply chain network can provide the most profit for firms due to considering new product development. Along with profit, customer satisfaction and production of new products are goals which lead to a more efficient supply chain. As new products appear in the market, the old products could become obsolete, and then phased out. The most important parameter in a supply chain which considers new and developed products is the time that developed and new products are introduced and old products are phased out. With consideration of the factors noted above, this study proposes to design a tri-objective multi-echelon multiproduct multi-period supply chain model, which incorporates product development and new product production and their effects on supply chain configuration. The supply chain under consideration is assumed to consist of suppliers, manufacturers, distributors and customer groups. In terms of overcoming NP-hardness of the proposed model and in order to solve the complicated problem, a non-dominated sorting genetic algorithm is employed. As there is no benchmark available in the literature, the non-dominated ranking genetic algorithm is developed to validate the results obtained and some test problems are provided to show the applicability of the proposed methodology and evaluate the performance of the algorithms.

show abstract

“…A two-stage stochastic programming model is proposed to support design and production decisions in bioethanol supply chain. Govindan et al (2015a) consider uncertain demand of retailers, and develop a scenario-based two-stage stochastic programming network design model including transportation and manufacturing decisions. Fahimnia and Jabbarzadeh (2016) apply a two-stage stochastic fuzzy goal programming approach to design a resiliently sustainable supply chain by considering a set of disaster scenarios.…”

Section: Model Characteristicsmentioning

confidence: 99%

Multi-criteria decision making approaches for green supply chains: a review

et al. 2016

View full text Add to dashboard Cite

Designing Green Supply Chains (GSCs) requires complex decisionsupport models that can deal with multiple dimensions of sustainability while taking into account specific characteristics of products and their supply chain. Multi-Criteria Decision Making (MCDM) approaches can be used to quantify trade-offs between economic, social, and environmental criteria i.e. to identify green production options. The aim of this paper is to review the use of MCDM approaches for designing efficient and effective GSCs. We develop a conceptual framework to find relevant publications and to categorise papers with respect to decision problems, indicators, and MCDM approaches. The analysis shows that (1) the use of MCDM approaches for designing GSCs is a rather new but emerging research field, (2) most of the publications focus on production and distribution problems, and there are only a few inventory models with environmental considerations, (3) the majority of papers assume all data to be deterministic, (4) little attention has been given to minimisation of waste, (5) numerous indicators are used to account for eco-efficiency, indicating the lack of standards. This study, therefore, identifies the need for

show abstract

Bi-objective integrating sustainable order allocation and sustainable supply chain network strategic design with stochastic demand using a novel robust hybrid multi-objective metaheuristic

Cited by 202 publications

References 100 publications

Integrated and Dynamic Design of Sustainable Closed-loop Supply Chain Network Considering Pricing

Integrated and Dynamic Design of Sustainable Closed-loop Supply Chain Network Considering Pricing

A meta-heuristic approach supported by NSGA-II for the design and plan of supply chain networks considering new product development

Multi-criteria decision making approaches for green supply chains: a review

Contact Info

Product

Resources

About