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Article
Publication date: 27 April 2020

Ashish Yadav, Shashank Kumar and Sunil Agrawal

Multi-manned assembly lines are designed to produce large-sized products, such as automobiles. In this paper, a multi-manned assembly line balancing problem (MALBP) is…

Abstract

Purpose

Multi-manned assembly lines are designed to produce large-sized products, such as automobiles. In this paper, a multi-manned assembly line balancing problem (MALBP) is addressed in which a group of workers simultaneously performs different tasks on a workstation. The key idea in this work is to improve the workstation efficiency and worker efficiency of an automobile plant by minimizing the number of workstations, the number of workers, and the cycle time of the MALBP.

Design/methodology/approach

A mixed-integer programming formulation for the problem is proposed. The proposed model is solved with benchmark test problems mentioned in research papers. The automobile case study problem is solved in three steps. In the first step, the authors find the task time of all major tasks. The problem is solved in the second step with the objective of minimizing the cycle time for the sub-tasks and major tasks, respectively. In the third step, the output results obtained from the second step are used to minimize the number of workstations using Lingo 16 solver.

Findings

The experimental results of the automobile case study show that there is a large improvement in workstation efficiency and worker efficiency of the plant in terms of reduction in the number of workstations and workers; the number of workstations reduced by 24% with a cycle time of 240 s. The reduced number of workstations led to a reduction in the number of workers (32% reduction) working on that assembly line.

Practical implications

For assembly line practitioners, the results of the study can be beneficial where the manufacturer is required to increased workstation efficiency and worker efficiency and reduce resource requirement and save space for assembling the products.

Originality/value

This paper is the first to apply a multi-manned assembly line balancing approach in real life problem by considering the case study of an automobile plant.

Details

Benchmarking: An International Journal, vol. 28 no. 5
Type: Research Article
ISSN: 1463-5771

Keywords

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Article
Publication date: 4 July 2020

Rakesh Patidar and Sunil Agrawal

The purpose of this paper is to study and develop supply chain structure of traditional Indian agri-fresh food supply chain (AFSC). This paper proposes a mathematical…

Abstract

Purpose

The purpose of this paper is to study and develop supply chain structure of traditional Indian agri-fresh food supply chain (AFSC). This paper proposes a mathematical model to design a traditional Indian AFSC to minimize total distribution cost and post-harvest losses in the chain.

Design/methodology/approach

This paper formulates two mathematical models to structure and represent the flow of products in the existing chain. First, a three-echelon, multi-period, multi-product, mixed-integer linear programming (MILP) model is formulated to minimize the total distribution cost incurred in the chain. Further, the developed formulation is extended by considering the perishability of products in the second model.

Findings

A real case study problem of Mandsaur district (India) is solved in LINGO 17.0 package to check the validity of the formulated models. The perishable (second) model of AFSC reports better results in terms of costs and post-harvest losses minimization. The results revealed that 92% of the total distribution cost incurred in the transportation of products from farmers to the hubs.

Research limitations/implications

This paper includes implications for redesigning an existing supply chain network by incorporating an appropriate transportation strategy from farmers to hubs to minimize transportation inefficiency and enhance the profitability of farmers.

Practical implications

The formulated AFSC model would help managers and policymakers to identify optimal locations for hubs where required infrastructure would be developed.

Originality/value

According to the author's best knowledge, this paper is the first to design traditional Indian AFSC by considering the perishability of products.

Details

Benchmarking: An International Journal, vol. 27 no. 8
Type: Research Article
ISSN: 1463-5771

Keywords

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Article
Publication date: 20 December 2019

Ashish Yadav, Ramawatar Kulhary, Rupesh Nishad and Sunil Agrawal

Parallel two-sided assembly lines are usually designed to produce large-sized products such as trucks and buses. In parallel two-sided assembly lines, both left and right…

Abstract

Purpose

Parallel two-sided assembly lines are usually designed to produce large-sized products such as trucks and buses. In parallel two-sided assembly lines, both left and right sides of the line are used for manufacturing one or more products on two or more assembly lines located parallel to each other. The purpose of this paper is to develop a new mathematical model for the parallel two-sided assembly line balancing problem that helps to evaluate and validate the balancing operations of the machines such as removal of tools and fixtures and reallocating the operators.

Design/methodology/approach

The proposed approach is explained with the help of an example problem. In all, 22 test problems are formed using the benchmark problems P9, P12, P16 and P24. The results obtained are compared among approaches of the task(s) shared, tool(s) shared and both tool(s) and task(s) shared for effect on efficiency as the performance measure. The solution presented here follows the exact solution procedure that is solved by Lingo 16 solver.

Findings

Based on the experiments, line efficiency decreases when only tools are shared and increases when only tasks are shared. Results indicate that by sharing tasks and tools together, better line efficiency is obtained with less cost of tools and fixtures.

Practical implications

According to the industrial aspect, the result of the study can be beneficial for assembly of the products, where tools and tasks are shared between parallel workstations of two or more parallel lines.

Originality/value

According to the author’s best knowledge, this paper is the first to address the tools and tasks sharing between any pair of parallel workstations.

Details

Assembly Automation, vol. 40 no. 6
Type: Research Article
ISSN: 0144-5154

Keywords

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Book part
Publication date: 4 December 2020

K.S.S. Iyer and Madhavi Damle

This chapter has been seminal work of Dr K.S.S. Iyer, which has taken time to develop, for over the last 56 years to be presented here. The method in advance predictive…

Abstract

This chapter has been seminal work of Dr K.S.S. Iyer, which has taken time to develop, for over the last 56 years to be presented here. The method in advance predictive analytics has developed, from his several other applications, in predictive modeling by using the stochastic point process technique. In the chapter on advance predictive analytics, Dr Iyer is collecting his approaches and generalizing it in this chapter. In this chapter, two of the techniques of stochastic point process known as Product Density and Random point process used in modelling problems in High energy particles and cancer, are redefined to suit problems currently in demand in IoT and customer equity in marketing (Iyer, Patil, & Chetlapalli, 2014b). This formulation arises from these techniques being used in different fields like energy requirement in Internet of Things (IoT) devices, growth of cancer cells, cosmic rays’ study, to customer equity and many more approaches.

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Article
Publication date: 19 July 2021

Priyanka Agrawal, Praveen Kumar Dadheech, R.N. Jat, Dumitru Baleanu and Sunil Dutt Purohit

The purpose of this paper is to study the comparative analysis between three hybrid nanofluids flow past a permeable stretching surface in a porous medium with thermal…

Abstract

Purpose

The purpose of this paper is to study the comparative analysis between three hybrid nanofluids flow past a permeable stretching surface in a porous medium with thermal radiation. Uniform magnetic field is applied together with heat source and sink. Three set of different hybrid nanofluids with water as a base fluid having suspension of Copper-Aluminum Oxide (CuAl2O3), Silver-Aluminum Oxide (AgAl2O3) and Copper-Silver (CuAg) nanoparticles are considered. The Marangoni boundary condition is applied.

Design/methodology/approach

The governing model of the flow is solved by Runga–Kutta fourth-order method with shooting technique, using appropriate similarity transformations. Temperature and velocity field are explained by the figures for many flow pertinent parameters.

Findings

Almost same behavior is observed for all the parameters presented in this analysis for the three set of hybrid nanofluids. For increased mass transfer wall parameter ( fw) and Prandtl Number (Pr), heat transfer rate cuts down for all three sets of hybrid nanofluids, and reverse effect is seen for radiation parameter (R), and heat source/sink parameter ( δ).

Practical implications

The thermal conductivity of hybrid nanofluids is much larger than the conventional fluids; thus, heat transfer efficiency can be improved with these fluids and its implications can be seen in the fields of biomedical, microelectronics, thin-film stretching, lubrication, refrigeration, etc.

Originality/value

The current analysis is to optimize heat transfer of three different radiative hybrid nanofluids ( CuAl2O3/H2O, AgAl2O3/H2O and CuAg/H2O) over stretching surface after applying heat source/sink with Marangoni convection. To the best of the authors’ knowledge, this work is new and never published before.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 31 no. 8
Type: Research Article
ISSN: 0961-5539

Keywords

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Article
Publication date: 8 April 2021

Sunil P. Omanwar and Rakesh Kumar Agrawal

This paper aims to study the relationship between servant leadership (SL), employee turnover intention (TI) and organizational identification (OI) in hospitals.

Abstract

Purpose

This paper aims to study the relationship between servant leadership (SL), employee turnover intention (TI) and organizational identification (OI) in hospitals.

Design/methodology/approach

The study uses a quantitative approach to investigate the relationships between SL, OI and TI, using data collected from a sample of 266 front-facing employees in a private Indian hospital setup. Structural equation modeling is used to analyze the data and test the hypotheses.

Findings

The findings reveal that servant leadership has a positive relationship with organizational identification and negatively impacts turnover intentions of the front-facing employee. Further, the study also reveals, contrary to expectations, organizational identification has no significant mediating effect between servant leadership and turnover intentions.

Research limitations/implications

This research is limited to front-facing employees in hospitals and the study may be extended to other industries in the service sector. Future studies may consider other mediating and moderating variables to fully understand the mechanism of impact of servant leadership on turnover intention. Multi-level studies can also be carried out.

Practical implications

With the ever-increasing expectations for better patient care, robust leadership models have required that address front-facing employee’s well-being, enabling their attention toward patients. This paper provides the impetus for the development and adoption of servant leadership specifically within hospitals and the service sector.

Originality/value

This study is one of the few studies that empirically examines servant leadership in the health-care domain. The study also contributes to the extant literature on servant leadership by empirically examining the mediation effect of organizational identification between SL and TI. To the authors’ best of knowledge, this study may be the first of its kind, providing evidence of servant leadership’s impact on turnover intention and organizational identification in hospitals using data from the Indian context.

Details

International Journal of Organizational Analysis, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1934-8835

Keywords

Content available
Article
Publication date: 24 October 2018

Sunil Tankha, Sunita Ranabhat, Laxmi Dutt Bhatta, Rucha Ghate and Nand Kishor Agrawal

Developed countries agreed at COP15 to pay US$100bn annually for adaptation and mitigation in developing countries. This paper aims to evaluate how prepared are donors and…

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Abstract

Purpose

Developed countries agreed at COP15 to pay US$100bn annually for adaptation and mitigation in developing countries. This paper aims to evaluate how prepared are donors and recipients to spend this money well by analyzing institutional and organizational capabilities for climate change adaptation in least developed country (LDC) administrations using the case of Nepal, a country which can be considered to be an archetypal LDC.

Design/methodology/approach

The authors conducted over 100 in-depth structured qualitative interviews with government officials from across the organizational chain in the ministries concerned with climate change, ranging from the lowest-ranked employee to just under the ministerial ranks. This was supplemented with detailed surveys of three representative communities from different ecological zones in Nepal. Data were analyzed using Ostrom’s IAD framework.

Findings

Local administrations are more motivated and capable than are given credit for by donors but nevertheless face critical barriers in being able to function autonomously and confront climate change challenges. These barriers create three interrelated challenges: An organizational challenge to create intrinsic incentives which empower and grant autonomy to front line agents, an institutional challenge to go beyond accountability-focused process validation and a policy-choice challenge which avoids the temptation to write aspirational policies without clear and feasible strategies to obtain the resources necessary for their implementation.

Practical implications

The findings point to ways climate assistance can be restructured for more reach and effectiveness.

Originality/value

This paper fills a gap in the literature because community structures and institutions have been extensively analyzed in the context of adaptation, but despite being criticized, administrative structures have rarely been directly studied.

Details

International Journal of Climate Change Strategies and Management, vol. 11 no. 3
Type: Research Article
ISSN: 1756-8692

Keywords

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Article
Publication date: 21 May 2021

Rohit Agrawal, Vishal Ashok Wankhede, Anil Kumar and Sunil Luthra

This work aims to review past and present articles about data-driven quality management (DDQM) in supply chains (SCs). The motive behind the review is to identify…

Abstract

Purpose

This work aims to review past and present articles about data-driven quality management (DDQM) in supply chains (SCs). The motive behind the review is to identify associated literature gaps and to provide a future research direction in the field of DDQM in SCs.

Design/methodology/approach

A systematic literature review was done in the field of DDQM in SCs. SCOPUS database was chosen to collect articles in the selected field and then an SLR methodology has been followed to review the selected articles. The bibliometric and network analysis has also been conducted to analyze the contributions of various authors, countries and institutions in the field of DDQM in SCs. Network analysis was done by using VOS viewer package to analyze collaboration among researchers.

Findings

The findings of the study reveal that the adoption of data-driven technologies and quality management tools can help in strategic decision making. The usage of data-driven technologies such as artificial intelligence and machine learning can significantly enhance the performance of SC operations and network.

Originality/value

The paper discusses the importance of data-driven techniques enabling quality in SC management systems. The linkage between the data-driven techniques and quality management for improving the SC performance was also elaborated in the presented study.

Details

The TQM Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1754-2731

Keywords

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Article
Publication date: 19 October 2015

Sunil Kumar Tiwari, Sarang Pande, Sanat Agrawal and Santosh M. Bobade

The purpose of this paper is to propose and evaluate the selection of materials for the selective laser sintering (SLS) process, which is used for low-volume production in…

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Abstract

Purpose

The purpose of this paper is to propose and evaluate the selection of materials for the selective laser sintering (SLS) process, which is used for low-volume production in the engineering (e.g. light weight machines, architectural modelling, high performance application, manufacturing of fuel cell, etc.), medical and many others (e.g. art and hobbies, etc.) with a keen focus on meeting customer requirements.

Design/methodology/approach

The work starts with understanding the optimal process parameters, an appropriate consolidation mechanism to control microstructure, and selection of appropriate materials satisfying the property requirement for specific application area that leads to optimization of materials.

Findings

Fabricating the parts using optimal process parameters, appropriate consolidation mechanism and selecting the appropriate material considering the property requirement of applications can improve part characteristics, increase acceptability, sustainability, life cycle and reliability of the SLS-fabricated parts.

Originality/value

The newly proposed material selection system based on properties requirement of applications has been proven, especially in cases where non-experts or student need to select SLS process materials according to the property requirement of applications. The selection of materials based on property requirement of application may be used by practitioners from not only the engineering field, medical field and many others like art and hobbies but also academics who wish to select materials of SLS process for different applications.

Details

Rapid Prototyping Journal, vol. 21 no. 6
Type: Research Article
ISSN: 1355-2546

Keywords

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Book part
Publication date: 4 December 2020

Abstract

Details

Data Science and Analytics
Type: Book
ISBN: 978-1-80043-877-4

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