A Two-Stage Green Supply Chain Network with a Carbon Emission Price by a Multi-objective Interior Search Algorithm

Torabi, Navid; Tavakkoli–Moghaddam, Reza; Najafi, Esmaeil; Hosseinzadeh-Lotfi, .

doi:10.5829/ije.2019.32.06c.05

Cited by 3 publications

(3 citation statements)

References 13 publications

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“…The model considered the optimal locations for several layers of temporary facilities, as well as the optimal routes for delivering and loading relief supplies. Based on a collaborative closed-loop logistics for water supply chain, Torabi et al [33] proposed a stochastic programming and applied Lagrangian relaxation to address it.…”

Section: Literature Reviewmentioning

confidence: 99%

A Location-Routing Model for Assessment of the Injured People and Relief Distribution under Uncertainty

Beiki

Seyedhosseini

Ghezavati

et al. 2020

IJE

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Throughout history, nature has exposed humans to destructive phenomena such as earthquakes, floods, droughts, tornadoes, volcanic eruptions, and tropical and marine storms. The large scale of damages and casualties caused by natural disasters around the world has led to extensive applied research in the field of preparation and development of a comprehensive system for disaster management to minimize the resulting casualties and financial damages. Based on this motivation and challenges to the field, this research designs an integrated relief chain to optimize simultaneously the preparedness and response phases of disaster management. Decisions to improve the supply chain include locating distribution centers of relief supplies; the amount of inventory stored in facilities in pre-disaster phase, locating temporary care centers and transportation points of the injured, how to allocate relief services to the affected areas, and routing of the vehicles used to distribute relief supplies and evacuate the injured. The results show that decreasing the capacity of distribution centers increases the amount of shortage of supplies and increasing the capacity of these centers reduces the amount of shortage of supplies.

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Section: Literature Reviewmentioning

confidence: 99%

A Location-Routing Model for Assessment of the Injured People and Relief Distribution under Uncertainty

Beiki

Seyedhosseini

Ghezavati

et al. 2020

IJE

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show abstract

“…Tavassoli and Farzipoor Saen (16), in their scholarly work, have underscored that, in numerous real-life scenarios, not all inputs or outputs can be precisely determined, with some potentially being contingent or accidental. Torabi et al (17), in their publication, introduced a novel two-stage green supply chain network. Primarily, they present an innovative multi-objective model addressing a two-level green supply chain problem.…”

Section: Introductionmentioning

confidence: 99%

Mathematical Model for Estimation of Return to Scale in Four-Level Green Supply Chain by using Data Envelopment Analysis

Sharafeddin,

Gholam Abri,

Fallah

et al. 2024

IJE

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Today, focusing on gaining a competitive edge in the global business market lies in enhancing supply chain performance. This study endeavors to examine the attainment of Returns To Scale (RTS) within a fourlevel green supply chain framework through the application of Data Envelopment Analysis (DEA). To achieve this objective, the Banker, Charnes, and Cooper (BCC) multiplicative model are employed to determine the return to scale at each level within the complete supply chain, ultimately culminating in estimating the overall return to scale for the entire supply chain. The statistical population for this applied research, aligned with its objectives, comprises 42 cement companies. The assessment of returns to scale in these companies, featuring a four-level chain encompassing suppliers, manufacturers, distributors, and customers, is measured. The outcomes of the model reveal that return to scale remains constant in 28 companies, exhibits a decreasing trend in 14 companies, and conversely demonstrates an increasing trajectory in 2 companies within the supplying sector, one company in manufacturing, and 14 companies in distribution. The findings underscore that an increasing return to scale renders the expansion of Decision-Making Units (DMUs) economically viable. Conversely, a diminishing return to scale suggests a rational limitation of DMUs.

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“…Global competition in an ever-changing environment has led organizations to recognize the importance of flexibility and demonstrate thoughtful and timely responses (1). In order to survive nowadays, organizations need to globalize and have a presence in this vast arena, even if they aim to have a national or regional presence, they must think globally (2).…”

Section: Introductionmentioning

confidence: 99%

Development of Green Product Processes in Textile Industry Using Mathematical Modeling and NSGA-II Metaheuristic Algorithm: A Case Study in Oyaz Industrial Group Document Type : Original Article

Bahrami Kian,

Harsej,

Molani Aghdam

et al. 2024

IJE

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The development of green product processes is a strategic approach to minimize the impact of organizational supply chain on the environment while simultaneously expanding its economic performance. To achieve this task, it is crucial to emphasize aspects related to performance in optimizing resource utilization and implementing sustainability principles within an organizational domain. To this end, a multi-objective mixed-integer linear programming model is presented in this study with the objective of minimizing the production time of textiles, transportation costs, and inventory of the products, as well as minimizing the environmental effects of the processes of developing green products. In this model, the constraints and problem parameters are deterministic and solved using weighted sum methods, utilizing real data obtained from the "Oyaz" industrial group. By solving the model, an optimal combination for the values of the objective functions is obtained both collectively and separately. Furthermore, the capability of the proposed model is evaluated for solving large-scale instances using the NSGA-II algorithm. This metaheuristic method has demonstrated satisfactory capabilities compared to the mathematical model because of the slight difference in modeling errors while confirming the accuracy of the developed mathematical model, proving the accuracy and efficiency of the NSGA-II algorithm. Consequently, the sensitivity analysis examines the influence of changing key parameters, such as the maximum storage capacity of production centers, on the decisions of the proposed model. This parameter change is determined through consultation with experts in the textile field. Based on the results obtained, changing the maximum storage capacity has a considerable impact on fibers and cotton. Additionally, if the capacity is changed to the maximum possible value, it has the greatest impact on the purifiers.

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A Two-Stage Green Supply Chain Network with a Carbon Emission Price by a Multi-objective Interior Search Algorithm

Cited by 3 publications

References 13 publications

A Location-Routing Model for Assessment of the Injured People and Relief Distribution under Uncertainty

A Location-Routing Model for Assessment of the Injured People and Relief Distribution under Uncertainty

Mathematical Model for Estimation of Return to Scale in Four-Level Green Supply Chain by using Data Envelopment Analysis

Development of Green Product Processes in Textile Industry Using Mathematical Modeling and NSGA-II Metaheuristic Algorithm: A Case Study in Oyaz Industrial Group Document Type : Original Article

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