Sustainable tire closed-loop supply chain network design: Hybrid metaheuristic algorithms for large-scale networks

Sahebjamnia, Navid; Fathollahi-Fard, Amir M.; Hajiaghaei–Keshteli, Mostafa

doi:10.1016/j.jclepro.2018.05.245

Cited by 223 publications

(100 citation statements)

References 72 publications

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“…Whenever a metaheuristic procedure is used, coding and decoding the solution of mathematical problem is required [26][27][28][29][30]. The proposed problem has three main binary decision variables i.e.…”

Section: Encoding Schemementioning

confidence: 99%

“…Considerably, this study utilizes four well-known evaluation metrics including Number of Pareto Solutions (NPS) [28,34], Mean Ideal Distance (MID) [25][26][27], Spread of Non-dominance Solution (SNS) [1][2] and Maximum Spread (MS) [29][30]. Thus, these metrics are well-known and have been utilized in several studies, more explanations along with their formulations are referred to their main papers referred to literature [25][26][27][28][29].…”

Section: Computational Experimentsmentioning

confidence: 99%

“…This includes strict carbon capping indicating some firms which should be regulated the main emissions of a sustainable production-distribution supply chain [24,25]. The main limitations are regularly to set the carbon taxation [26], carbon capping and trading [27], and buying carbon credits from another firm [28]. All in all, this study employs all these three carbon policies to consolidate in a sustainable production-distribution and inventory control decisions model.…”

Section: Introductionmentioning

confidence: 99%

“…There are many works concerning the sustainable supply chain network design in the last decades. As explored by Sahebjamnia et al [28], only seven papers in high rank related journals have been published for the period of 2015 to 2017 to address the sustainable supply chain network design problem. As mentioned earlier, economic, environmental and social aspects are three main sustainability dimensions [25,29].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Novel Hybrid Whale Optimization Algorithm to Solve a Production-Distribution Network Problem Considering Carbon Emissions

Mehranfar

Hajiaghaei–Keshteli

Fathollahi-Fard

2019

IJE

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Nowadays, there is a great deal of attention for regulations of carbon emissions to enforce the decisionmakers of production and distribution networks to redesign their systems satisfactorily. The literature has seen a rapid interest in developing novel metaheuristics to solve this problem as a complicated optimization problem. Such difficulties motivate us to address a production-distribution network design problem considering carbon emissions policies among the first studies in this area by a novel hybrid whale optimization algorithm. Accordingly, a mixed integer non-linear programming model has been developed. To tackle the proposed problem, a new hybrid metaheuristic based on whale optimization algorithm and simulated annealing as a successful optimizer is employed to solve the proposed problem. The calibration of the algorithms has been designed by Taguchi method, comprehensively. Finally, an extensive analysis has been evaluated through a comparative study along with some assessment metrics of Pareto solutions.

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Section: Encoding Schemementioning

confidence: 99%

Section: Computational Experimentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Novel Hybrid Whale Optimization Algorithm to Solve a Production-Distribution Network Problem Considering Carbon Emissions

Mehranfar

Hajiaghaei–Keshteli

Fathollahi-Fard

2019

IJE

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“…Sahebjamnia et al [39] have developed a sustainable SC model of tire by considering economical, manufacturing, logistic and, environmental factors.…”

Section: Perishabilitymentioning

confidence: 99%

A holistic framework for lot sizing problem in fast-moving perishable products

Sinha

Anand

2018

Scientia Iranica

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One of the major challenges being faced by manufacturing companies today is the issue of addressing various aspects of perishable products in a supply chain environment. To address this issue, the integrated lot size problem for a perishable product has been investigated in the present work. The problem is modeled as a single vendor multiple buyer system. A variant of the truckload discount scheme is applied and the proposed model is formulated as a mixed integer program (MIP). The traditional warehouses are replaced by 'cross-docks' and situations in which, cross-docking would be more beneficial are highlighted. The problem of fleet selection is also addressed and various strategies to minimize the vendor cost are also highlighted for centralized and decentralized supply chains.Sensitivity analysis is then carried out on various input parameters such as setup cost at plant, variable transportation cost, fixed transportation cost, setup cost per order, holding cost and, lost cost, which underscores the significant impact of economies of scale in transportation on the total supply chain cost.Analysis of lead time-cost trade-off reveals that alternate modes of transportation could be explored, which significantly reduces the lead time of transportation, thereby minimizing the total supply chain cost.towards sustainability in the global competitive environment [2]. In the current times, the concept of SC network has been shifting from traditional SC environment. Nowadays, SC is an integral system of raw materials, material procurement, suppliers, manufacturing processes, assembly, dispatch, logistics, inventory, cross-docks, warehouses, end customers and, finally recycling of the product [3]. The SC environment is also defined as an effective management of all components / partners related to SC network which include transportation and replenishment of raw materials either inside the manufacturing shop floor or shipment of finished goods along with transportation decisions (mode of shipment, lot size and, fleet selection) for yielding competitive advantages for all individual components / partners [4-5] . SC network design mainly consists of three levels namely strategic, tactical and, operational decisions [6]. Strategic decisions mainly emphasize on production, assembly and, distribution to fulfill the demand of end customers. Tactical decisions describes the management policy for flow of materials, decisions related to various production level, assembly section, inventory control and, lot sizes. Decisions on operational level deals with scheduling of different operations of SC network for making responsive SC design including coordination in logistic network for assuring on time delivery of the product to the end customer at low cost with least environmental impact [7-8]. However, logistic network which is a part of green supply chain network is one of the major challenging tasks for every manufacturing industry.Moreover, perishability is one of the key issues in a supply chain environment. Integration of product...

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An Efficient Modified Red Deer Algorithm to Solve a Truck Scheduling Problem Considering Time Windows and Deadline for Trucks' Departure

Fathollahi-Fard

Ahmadi

Sajadieh

2020

Evolutionary Computation in Scheduling

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Sustainable tire closed-loop supply chain network design: Hybrid metaheuristic algorithms for large-scale networks

Cited by 223 publications

References 72 publications

A Novel Hybrid Whale Optimization Algorithm to Solve a Production-Distribution Network Problem Considering Carbon Emissions

A Novel Hybrid Whale Optimization Algorithm to Solve a Production-Distribution Network Problem Considering Carbon Emissions

A holistic framework for lot sizing problem in fast-moving perishable products

An Efficient Modified Red Deer Algorithm to Solve a Truck Scheduling Problem Considering Time Windows and Deadline for Trucks' Departure

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