Shankar Chakraborty

• Jadavpur University

Effective management of healthcare waste (HCW) imposes a great challenge to all countries. Specially in the developing countries, it is often mixed with municipal waste, adversely affecting the health and safety of the medical personnel, general public and environment. Healthcare waste management (HCWM) basically deals with segregation, collection...

Purpose In electrical discharge machining (EDM) process, EDM oil used as a dielectric fluid plays an important role in determining quality of the machining operation, serving as a medium to generate controlled electrical discharges, quenching medium to cool down and solidify the eroded gaseous particles, removal of solidified waste, and lubrication...

Minimization of the interdepartmental flow within a given facility is often treated as a quadratic assignment problem (QAP). It is an NP-hard, combinatorial optimization problem. Multi-objective quadratic assignment problem (mQAP) is considered when there exists more than one type of flow within the same facility. Metaheuristic algorithms are commo...

The problem of Alternating Current Optimal Power Flow (ACOPF) pertains to the strategic identification of the most advantageous operating conditions for electricity generating facilities. The objective here is to fulfill the demand across a power transmission network while simultaneously curbing operating costs. The significance of the Optimal Powe...

With the goal of satisfying environmental perspectives in the era of Industry 4.0, optimal energy consumption has become the most important quandary in manufacturing environment, which involves several machining processes aimed at achieving higher productivity, no-defect policy, and cost and time efficient product delivery. Need of adopting green m...

Carbon fiber-reinforced polymer (CFRP) composites, possessing some unique properties, like high specific strength, stiffness, corrosion and temperature resistance etc. have now become attractive choices in many of the aviation, automobile, marine, military, medical, construction and sports industries. But, their anisotropic and non-homogeneous stru...

This paper proposes development of optimized heterogeneous ensemble models for prediction of responses based on given sets of input parameters for wire electrical discharge machining (WEDM) processes, which have found immense applications in many of the present-day manufacturing industries because of their ability to generate complicated 2D and 3D...

In the present industrial era, manufacturing has become the primary process of converting the raw materials into finished items while fulfilling the customers’ requirements of low cost and better quality. Based on the working principles, manufacturing processes have several variations, like machining (conventional as well as non-conventional), form...

Purpose In the present-day highly customer-conscious service environment, supply chain management has become a critical component of health-care industry, helping in fulfilling patient expectation, optimizing inventory and automating departmental activities. Supplier selection is one of the crucial elements of health-care supplier chain, establishi...

Due to rapid advancements in microelectronics and computerization, drones are being widely used, and have gained significant attention in multiple military, industrial and commercial applications. Selection of the most appropriate drone for a specific application, especially for delivery operation, appears as a challenging task, and can be treated...

Purpose In many of today’s manufacturing industries, such as automobile, aerospace, defence, die and mould making, medical and electrical discharge machining (EDM) has emerged as an effective material removal process. In this process, a series of discontinuous electric discharges is used for removing material from the workpiece in the form of crate...

Due to excellent mechanical and metallurgical properties, metal matrix composites (MMCs) are in high demand for numerous engineering applications across multiple industrial sectors. However, presence of reinforcement particles in MMCs adversely affects their machinability leading to increased tool wear and cutting force requirement. To simultaneous...

To achieve better surface quality and close dimensional tolerance, finishing operations, like surface and cylindrical grinding are widely employed in many of the manufacturing industries. For determining the optimal values of various grinding parameters, like wheel speed, feed rate, depth of cut, width of cut, wheel material etc., multi-criteria de...

Presence of numerous competing suppliers along with conflicting evaluation criteria, increased participation and expectations of the stakeholders having varying interest, uncertainty in demand and supply, and lack and vagueness of information make healthcare supplier selection a challenging task which can be effectively solved with the application...

Multi-walled carbon nanotubes (MCNTs)-enhanced glass fiber composite (GFC) laminates are among the most promising materials for fulfilling various structural and non-structural requirements. They have also shown exceptional functional applications as excellent electrical and thermal conductors, as well as electromagnetic interference shielding mate...

Laser beam machining (LBM) is a popular non-conventional material removal process. It is observed that quality of cut in LBM process performance can only be achieved through proper tuning of its different input parameters. It is thus vital to explore the effects of LBM process parameters on the quality of cut. In this paper, a newly developed metah...

Purpose Supplier selection along with continuous evaluation of their performance is a crucial activity in healthcare supply chain management for effective utilization of scarce resources while providing quality service at an affordable price, and minimizing chances of stock-out, avoiding serious consequences on the illness or fatality of the patien...

This paper presents parametric analysis and optimization of a drilling operation on hybrid aluminium metal matrix composites (Al-MMCs), consisting of Al 7075 as the base material, and 2% SiC and 2.5% (fly ash + bagasse ash) as the reinforcements. Based on Taguchi’s orthogonal array, 27 experiments are conducted, and the main effects and interaction...

Metaheuristics are commonly employed as a means of solving many distinct kinds of optimization problems. Several natural-process-inspired metaheuristic optimizers have been introduced in the recent years. The convergence, computational burden and statistical relevance of metaheuristics should be studied and compared for their potential use in futur...

Due to its ability to generate complex shape profiles and contours in many of the advanced engineering materials having higher strength-to-weight ratio, and corrosion and wear resistance properties, wire-electrical discharge machining (WEDM) has emerged out as one of the most suitable non-traditional material removal processes in modern-day manufac...

Purpose Increasing public consciousness and demand for sustainable environment make selection of a safe location for effective disposal of healthcare waste (HCW) a challenging issue. This problem becomes more complicated due to involvement of multiple decision makers having varying knowledge and interest, conflicting quantitative and qualitative ev...

Healthcare decision-making has often been viewed as a complex multi-dimensional problem due to medical, technological, social, ethical, economic, and environmental factors along with multiple and conflicting objectives and the participation of different stakeholders. Several multi-criteria decision-making (MCDM) techniques have been successfully de...

The task of multi-attribute decision making (MADM) involves selecting the best alternative/course of action from a set of feasible options in the presence of conflicting objectives (criteria). Till date, several MADM techniques having their own merits and demerits have emerged out to aid the decision making task. Among them, multi-objective optimiz...

Access to high-quality and affordable healthcare services is necessary for people worldwide. Achieving this goal requires healthcare providers to procure the best available equipment and pharmaceutical items at the lowest possible cost. Hence, proper supplier selection is crucial for all healthcare organizations to ensure the availability of the ri...

Green machining processes, which are essential for sustainable manufacturing practices, require minimization of energy consumption while maintaining desirable product quality and less perilous working environment. In this paper, the applications of three multi-criteria decision making (MCDM) techniques integrated with grey system theory are propose...

To fulfil the present-day technological requirements of light weight materials with higher strength, hardness, stiffness, wear and corrosion resistance properties, aluminium metal matrix composites (Al-MMCs) now appear as viable alternative materials in many of the manufacturing industries. Hybrid Al-MMCs with heterogeneous reinforcement elements a...

The ability to produce high quality joints, with improved mechanical and metallurgical properties, without any harmful emissions, has caused friction stir welding (FSW) to emerge as an efficient and eco-friendly solid-state welding method that has widespread use in many of the industries, especially railway, aerospace and automotive industries. How...

COVID-19 is a raging pandemic that has created havoc with its impact ranging from loss of millions of human lives to social and economic disruptions of the entire world. The catastrophic shock of COVID-19 in India is also enormous. Currently, India has the largest number of COVID cases in Asia. Therefore, error-free prediction, quick diagnosis, dis...

As the volume of data generated by information systems continues to increase, machine learning (ML) techniques have become essential for the extraction of meaningful insights. However, the sheer volume of data often causes these techniques to become sluggish. To overcome this, feature selection is a vital step in the pre-processing of data. In this...

End milling is an essential material removal process in almost all the metal-working industries to generate holes, cavities, slots, pockets and complex shape profiles in any type of material. In this paper, the performance of two end milling processes is optimized using four newly developed MCDM tools, i.e. multi-attributive ideal-real comparative...

Process optimization deals with identifying the optimal settings of input parameters of different machining processes resulting in most efficient utilization of energy and other resources, and less perilous effects on the machine operators ensuring sustainable manufacturing environment. Various mathematical tools, mainly in the form of multi-criter...

Optimization of the dynamic performance of composite laminates has become necessary in many design applications of structural engineering. Although finite element analysis-based metaheuristic search is a widely adopted approach for design optimization of composite laminates, recently there has been a tremendous impetus on the use of metamodel-based...

Machining of metal matrix composites (MMCs) has now become an essential task in shaping them to their final usable forms for various industrial applications. These machining operations may range from drilling of simple through holes to cutting and shaping of the composites into complex shapes. Determination of the optimal process parameters during...

A prior knowledge regarding the effectiveness of each of the medicines prescribed by a physician would be quite helpful to a patient for rapid recovery from a particular disease. In this paper, an attempt is put forward to develop the related association rules for understanding the roles of different types of medicines prescribed for treatment of d...

Attaining green environment for various machining processes has now caught the attention of many manufacturing industries. The input parameters involved in those machining processes are mainly responsible for achieving the desired performance as they are directly related to the process outputs. Hence, proper selection of the input process parameter...

National parks (NPs) play an indispensible role in development and promotion of nature-based tourism destinations through effective management of resources and socio–economic growth. It has become mandatory to deploy a potent management effectiveness evaluation tool to assess how the NPs are being managed with respect to their protection and fulfil...

Like all other manufacturing industries, supplier selection also plays a pivotal role in a textile industry with respect to timely and cost-effective delivery of raw materials (cotton, yarn or fabric), chemicals and dyes, machineries, spare parts and other auxiliary parts/items. An appropriately selected supplier would help the textile industry in...

In any of the manufacturing industries, it is noticed that performance of a turning operation with respect to higher material removal rate and tool life, and lower surface roughness, flank wear, cutting force and specific energy consumption is significantly influenced by several input parameters, like cutting speed, feed rate, depth of cut, tool no...

During friction stir welding (FSW) of similar or dissimilar materials, it is observed that the weld quality depends on various input parameters, like tool rotational speed, welding speed, axial load, tool shoulder geometry, tool tilt angle, pin geometry etc. To achieve the best weld quality, it is thus recommended to operate the FSW process while s...

Due to its capability to generate intricate shape profiles on various electrically conductive difficult-to-machine work materials, electrochemical machining (ECM) process has found immense applications in aerospace, automotive, die making, artillery and surgical instruments manufacturing industries. Like other machining processes, the performance o...

In many of the modern-day manufacturing industries, electrical discharge machining (EDM) now appears as an effective non-traditional material removal process for generating intricate shape geometries on various hard-to-cut work materials to meet the ever-increasing demands of higher dimensional accuracy and better surface quality. Development of an...

Due to its ability to generate complex and intricate shape features on different hard-to-cut materials with minimum dimensional deviation and higher surface finish, wire electrical discharge machining (WEDM) process has already become well-acknowledged in various modern-day manufacturing industries. For optimizing the machining performance of this...

Welding is an essential fabrication process in any of the construction or manufacturing industries. Over the years, numerous welding techniques have been developed to fulfil the continuously changing requirements of the manufacturers as well as to keep up with the evolving materials. Any welding operation is associated with a number of input parame...

Continuous urge for generation of complex intricate features on harder and tougher materials with close dimensional tolerance and superior surface quality has led to the development of non-traditional machining (NTM) processes. Unlike the conventional machining processes, the NTM processes employ energy in various forms or their combinations for re...

Machining of metal matrix composites (MMCs) has now become an essential task in shaping them to their final usable forms for various industrial applications. These machining operations may range from drilling of simple through holes to cutting and shaping the composites into complex shapes. Determination of the optimal process parameters during the...

This paper deals with exploring the influences of cutting speed, feed rate and depth of cut on material removal rate (MRR) and average surface roughness (Ra) during milling operation of aluminum 1100 alloy work material. The experiments are conducted based on Taguchi’s L8 design plan. It is noticed that MRR increases and Ra deteriorates with higher...

To meet the ever-increasing requirements of higher dimensonal accuracy along with better surface quality in many of the modern-day manufacturing industries, electrical discharge machining (EDM) appears to be an efficient material removal process to generate intricate shape features on various hard-to-cut work materials. Due to complex material remo...

Diamond-like carbon (DLC) is becoming increasingly popular due to its several superior mechanical, chemical, tribological and optical properties. However, achievement of these advantageous properties of DLC coatings mainly depends on various input parameters involved in its deposition process. Recently, the DLC researchers have started tapping the...

Since the past few years, several metaheuristic algorithms, inspired by the natural processes, have been introduced to solve different complex optimization problems. Studying and comparing the convergence, computational burden and statistical significance of those metaheuristics are helpful for future algorithmic development and their applications....

Continuous quest for lighter yet stronger materials has led to significant research in the field of composites. Modern-day nanocomposites have found widespread applications in diverse engineering sectors, which often require their machining. In this paper, multi-walled carbon nanotubes (MWCNTs) reinforced composites are subjected to drilling operat...

Optimization is a necessary task in process engineering to ensure maximization of the overall efficiency of production systems. Metaheuristic algorithms have gained enormous attention in the last decade to solve complex multi-modal optimization problems. Hybridization of metaheuristics is an interesting and fruitful research area as it improves per...

In modern day manufacturing industries, micro-electrical discharge machining (micro-EDM) has emerged out as an efficient material removal process to produce miniaturized components having varying industrial applications. To explore its fullest machining potential, it is always required to operate the micro-EDM process while setting its various inpu...

In the context of supply chain management, supplier selection can be defined as the process by which organizations score and evaluate a range of alternative suppliers to choose the best possible one who can provide superior quality of raw materials at cheaper rate and lesser lead time. It is a decision making process with multiple trade-offs betwee...

To cope with the ever increasing demands of higher productivity along with better surface finish and dimensional tolerance while machining different hard-to-cut work materials, hybrid machining processes are now being continuously developed considering the advantageous features of two or more non-traditional machining (NTM) processes. These process...

Composite laminates have found wide-ranging applications in various areas of structural, marine and aerospace industries. Their design and optimization is a challenging task due to involvement of a large number of design variables. Because of high accuracy of the laminate modeling theories and presence of numerous design variables, laminate design...

In order to avoid working in a constrained hazardous environment, manual spray painting operation is gradually being replaced by automated robotic systems in many manufacturing industries. Application of spray painting robots ensures defect-free painting of dissimilar components with higher repeatability, flexibility, productivity, reduced cycle ti...

Modeling the interrelationships between the input parameters and outputs (responses) in any machining processes is essential to understand the process behavior and material removal mechanism. The developed models can also act as effective prediction tools in envisaging the tentative values of the responses for given sets of input parameters. In thi...

This paper studies the application of a path analysis approach to model a wire electrical discharge machining (WEDM) process for investigating the relationships between its different process parameters and responses. It also estimates the contributive importance of the considered WEDM process parameters on each of the responses and identifies those...

In this paper, an ensemble learning method, in the form of extreme gradient boosting (XGBoost) algorithm is adopted as an effective predictive tool for envisaging values of average surface roughness and material removal rate during CNC turning operation of high strength steel grade-H material. In order to develop the related models, a grid with 246...