The robust quay crane allocation for a discrete bulk material handling port

Pratap, Saurabh; B, Manoj Kumar; Cheikhrouhou, Naoufel; Tiwari, Manoj Kumar

doi:10.1109/ieem.2015.7385833

Cited by 12 publications

(7 citation statements)

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“…Holland 1975 studied an adaptive artificial system and used the genetic operator's crossover and reformation of new chromosomes, mutation of the parent and new chromosome and finally evaluates the fitness function. (Pratap et al, 2015;Prajapati et al, 2019) used GA in the scheduling problem to reduce the operational delay. The generated random solution form chromosomes, the best feasible chromosome have to be selected and proceed for the next operator, i.e.…”

Section: Approach 2: Genetic Algorithm (Ga)mentioning

confidence: 99%

Meta-heuristic algorithms for solving the sustainable agro-food grain supply chain network design problem

Dwivedi

Jha

Prajapati

et al. 2020

MSCRA

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PurposeDue to unceasing declination in environment, sustainable agro-food supply chains have become a topic of concern to business, government organizations and customers. The purpose of this study is to examine a problem associated with sustainable network design in context of Indian agro-food grain supply chain.Design/methodology/approachA mixed integer nonlinear programming (MINLP) model is suggested to apprehend the major complications related with two-echelon food grain supply chain along with sustainability aspects (carbon emissions). Genetic algorithm (GA) and quantum-based genetic algorithm (Q-GA), two meta-heuristic algorithms and LINGO 18 (traditional approach) are employed to establish the vehicle allocation and selection of orders set.FindingsThe model minimizes the total transportation cost and carbon emission tax in gathering food grains from farmers to the hubs and later to the selected demand points (warehouses). The simulated data are adopted to test and validate the suggested model. The computational experiments concede that the performance of LINGO is superior than meta-heuristic algorithms (GA and Q-GA) in terms of solution obtained, but there is trade-off with respect to computational time.Research limitations/implicationsIn literature, inadequate study has been perceived on defining environmental sustainable issues connected with agro-food supply chain from farmer to final distribution centers. A MINLP model has been formulated as practical scenario for central part of India that captures all the major complexities to make the system more efficient. This study is regulated to agro-food Indian industries.Originality/valueThe suggested network design problem is an innovative approach to design distribution systems from farmers to the hubs and later to the selected warehouses. This study considerably assists the organizations to design their distribution network more efficiently.

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Section: Approach 2: Genetic Algorithm (Ga)mentioning

confidence: 99%

Meta-heuristic algorithms for solving the sustainable agro-food grain supply chain network design problem

Dwivedi

Jha

Prajapati

et al. 2020

MSCRA

Self Cite

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“…Few authors such as Hendriks et al (2013) and Zhen (2015) dealt with a tactical berth allocation problem for explicitly addressing the uncertainty in berthing activities and reducing the operational dwell time. Several other researchers integrated quay crane allocation problem with discrete berth allocation for minimizing the ship operational time (Pratap et al (2015a), and Wu and Ma (2017)).…”

Section: Models Depicting Berth Allocation Problemmentioning

confidence: 99%

“…The berth allocation problem (BAP) is a NP-hard problem as stated by several researchers such as Lim et al (1998), Cordeau et al (2005), Lu et al (2012, Ting et al (2014) and Pratap et al (2015a). Due to the computational complexity associated with resolving the berth allocation problem, several researchers have proposed intelligent search methods and random search techniques.…”

Section: Solution Approachesmentioning

confidence: 99%

“…Equations ( 21) and ( 22) represent the non-negativity constraints. Equations ( 23), ( 24) and ( 25 (2014) and Pratap et al (2015a). Hybrid discrete berth allocation problem is more complicated version of the BAP and solving such a problem using exact solution algorithm needs excessive memory requirements and huge computational time.…”

Section: Problem Descriptionmentioning

confidence: 99%

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A hybrid dynamic berth allocation planning problem with fuel costs considerations for container terminal port using chemical reaction optimization approach

Pratap

Kumar

et al. 2018

Ann Oper Res

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This paper investigates the dynamic ship berth allocation problem for a container handling port, focusing on vessel waiting time at the anchorage due to the unavailability of the berth and quay cranes. A mixed integer linear programming model (MINLP) considering the fuel cost associated with waiting time and operational time of the docked vessel is developed. The hiring of the quay cranes to load/unload the containers from the ship and arrangement of the vessels in different berths is taken into account. Fuel consumed by the vessels while performing their respective port operations is incorporated in the model for addressing the sustainability aspects in berth allocation problem. A Chemical Reaction Optimization Algorithm (CRO) is proposed to solve the problem in a large-scale realistic environment and compared with the results with Block-Based Genetic Algorithm (BBGA), Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The computational experiment illustrates and validates the proposed model on a real case scenario of the port located in India. The case shows that the developed model achieves better utilization of port resources and available berths.

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“…The economic growth of a country is related to its export and import volume. Moreover, transportation is now considered as one of the four pillars of globalization, along with communications, international standardization and trade liberalization (Pratap et al , 2015). There are three primary modes of transportation such as seaside, air side and land side transport.…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of privatized ports by entropy based TOPSIS and ARAS approach

Gök-Kısa

Çeli̇k²,

Peker

2021

BIJ

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PurposePorts are the key elements of maritime transportation, which is crucial for world trade. Approximately 180 port facilities are located in Turkey. After 2007, 5 of the ports, which are formerly owned by Turkish Republic Railways Administration (TRRA), are privatized. The aim of the study is to evaluate the performance of these privatized ports by multi-criteria decision-making (MCDM) approach.Design/methodology/approachThe application process is performed by a MCDM model. This model includes both criteria (dry bulk, liquid bulk, general cargo, container, RO-RO capacity, total port area, total berth, total berths length and depth) and alternatives (Mersin, Samsun, Bandirma, Iskenderun and Derince Ports). It determines the weights of the criteria by entropy and ranks the alternatives by ARAS and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods.FindingsThe results of entropy, ARAS and TOPSIS methods are compared. According to these results, “container” is the most important criteria while Mersin port has the best performance.Originality/valueIn the literature, most of the studies about this subject were analyzed by data envelopment analysis (DEA) and there are no studies had been taken into consideration ports that are owned by TRRA, in Turkey. Moreover, few of these studies used integrated MCDM models, and this is the first study that integrates entropy, ARAS and TOPSIS methods in this field.

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The robust quay crane allocation for a discrete bulk material handling port

Cited by 12 publications

References 13 publications

Meta-heuristic algorithms for solving the sustainable agro-food grain supply chain network design problem

Meta-heuristic algorithms for solving the sustainable agro-food grain supply chain network design problem

A hybrid dynamic berth allocation planning problem with fuel costs considerations for container terminal port using chemical reaction optimization approach

Performance evaluation of privatized ports by entropy based TOPSIS and ARAS approach

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