Heuristic-based metaheuristics to address a sustainable supply chain network design problem

Samadi, Atefeh; Mehranfar, Nasrin; Fathollahi-Fard, Amir M.; Hajiaghaei–Keshteli, Mostafa

doi:10.1080/21681015.2017.1422039

Cited by 58 publications

(48 citation statements)

References 50 publications

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“…Hence, the proposed model has addressed a sustainable productiondistribution supply chain network with carbon emissions policies. Generally, the simplest case of a locationallocation problem is NP-hard [31][32][33]. In this regard, the presented model as a type of location-allocation problem is very difficult to solve due to inventory and multiperiod decisions as well as considering a multi-echelon supply chain network.…”

Section: − Ccapmentioning

confidence: 99%

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: − Ccapmentioning

confidence: 99%

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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“…To better understand the RDA's coding, its pseudo-code is also provided in Appendix A. More illustration about RDA and related formulas can be referred to the main source [6] and other related papers in this area [21][22][23][24][25][26].…”

Section: Red Deer Algorithm (Rda)mentioning

confidence: 99%

“…It can reach the global optimum instead of local ones in majority of case studies [6,[21][22][23][24][25][26]. The convergence rate of this metaheuristic is generally better than several well-known and recent optimizers such as ICA, GA, PSO, WWO and VCS and so on based on recent published papers [21][22][23][24][25][26]. However, the main disadvantage of this algorithm is its difficulty to tune due to some controlling parameters.…”

Section: Red Deer Algorithm (Rda)mentioning

confidence: 99%

An Improved Red Deer Algorithm to Address a Direct Current Brushless Motor Design Problem

2019

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The Red Deer Algorithm (RDA) is one of recent metaheuristic algorithms inspired by the behavior of red deers during a breading season. The RDA revealed its performance for a variety of combinatorial optimization problems in different real-world applications. In this paper, the parameters and operators of RDA using some adaptive strategies have been modified to improve the performance of this optimizer. To prove the efficiency of Improved RDA (IRDA), not only some benchmarked functions are utilized but also a Direct Current (DC) brushless motor design as one of real-world engineering design issues. The results of developed IRDA are compared with its general idea and existing algorithms from the literature. This comparative study confirms that the offered IRDA outperforms the other algorithms and provide very competitive results.

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“…Samadi et al [28] developed three heuristics which initiates to generate first population of genetic algorithm. The researchers also proposed red dear algorithm (RDA) for solving sustainable SC network model.…”

Section: Bi-level Meta-heuristic Based Partial Interdiction Model Hasmentioning

confidence: 99%

“…However, in general, a move towards larger lead times is in-advisable, even if it results in a reduction in the total cost. The number of inbound and outbound trailers at each cross dock is determined by using the above equations (28) to (30). Let ND c represent the total number of doors at cross dock 'c'.…”

Section: Centralized Vs Decentralized Sc For Perishable Productmentioning

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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Heuristic-based metaheuristics to address a sustainable supply chain network design problem

Cited by 58 publications

References 50 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

An Improved Red Deer Algorithm to Address a Direct Current Brushless Motor Design Problem

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

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