K.G. Durga Prasad, K. Venkata Subbaiah and K. Narayana Rao
The purpose of this paper is to develop a methodology using quality function deployment (QFD) approach for aligning competitive strategy with supply chain strategy.
Abstract
Purpose
The purpose of this paper is to develop a methodology using quality function deployment (QFD) approach for aligning competitive strategy with supply chain strategy.
Design/methodology/approach
QFD and utility‐based optimization approach are employed to achieve strategic fit between the competitive and supply chain strategies. The supply chain performance is defined by using the information contained in the House of Quality of QFD and utility functions.
Findings
Supply chain performance index is computed for the different sets of supply chain design objectives. An illustrative example is presented in this paper to describe the QFD approach for aligning competitive and supply chain strategies.
Originality/value
Application of QFD approach is a new approach to design a supply chain through aligning competitive and supply chain strategies.
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K.G. Durga Prasad, K. Venkata Subbaiah and K. Narayana Rao
– The purpose of this paper is to demonstrate a methodology to design a supply chain with a view to achieve a strategic fit between competitive and supply chain strategies.
Abstract
Purpose
The purpose of this paper is to demonstrate a methodology to design a supply chain with a view to achieve a strategic fit between competitive and supply chain strategies.
Design/methodology/approach
Quality function deployment (QFD)-based optimization methodology is employed to design a supply chain for a product through aligning the competitive and supply chain strategies. Normal boundary intersection (NBI) method is adopted to obtain optimal weights of the supply chain design objectives. Weighted additive model is developed for multi-objective optimization. Utility-based attribute function, which structure the relationship between the elements of competitive and supply chain strategies is established. The utility functions and the information contained in the House of Quality (HOQ) of QFD are used to define the supply chain performance (SCP).
Findings
SCP index is computed using the set of supply chain design objectives obtained by solving the weighted additive model. On the basis of SCP index, the supply chain activities are planned accordingly. An illustrative example is presented in this paper to describe the QFD-based optimization methodology for designing a supply chain.
Originality/value
QFD-based optimization is a novel approach to design a supply chain with a focus on aligning competitive and supply chain strategies.
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Dharmendra B.V., Shyam Prasad Kodali and Nageswara Rao Boggarapu
The purpose of this paper is to adopt the multi-objective optimization technique for identifying a set of optimum abrasive water jet machining (AWJM) parameters to achieve maximum…
Abstract
Purpose
The purpose of this paper is to adopt the multi-objective optimization technique for identifying a set of optimum abrasive water jet machining (AWJM) parameters to achieve maximum material removal rate (MRR) and minimum surface roughness.
Design/methodology/approach
Data of a few experiments as per the Taguchi’s orthogonal array are considered for achieving maximum MRR and minimum surface roughness (Ra) of the Inconel718. Analysis of variance is performed to understand the statistical significance of AWJM input process parameters.
Findings
Empirical relations are developed for MRR and Ra in terms of the AWJM process parameters and demonstrated their adequacy through comparison of test results.
Research limitations/implications
The signal-to-noise ratio transformation should be applied to take in to account the scatter in the repetition of tests in each test run. But, many researchers have adopted this transformation on a single output response of each test run, which has no added advantage other than additional computational task. This paper explains the impact of insignificant process parameter in selection of optimal process parameters. This paper demands drawbacks and complexity in existing theories prior to use new algorithms.
Practical implications
Taguchi approach is quite simple and easy to handle optimization problems, which has no practical implications (if it handles properly). There is no necessity to hunt for new algorithms for obtaining solution for multi-objective optimization AWJM process.
Originality/value
This paper deals with a case study, which demonstrates the simplicity of the Taguchi approach in solving multi-objective optimization problems with a few number of experiments.
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Chris Mantas, Sawsan Malik and Vassilis Karapetsas
The aim of this chapter is to discuss the key challenges that the academia and the academics of higher education have to face in relation to AI but also to make recommendations on…
Abstract
The aim of this chapter is to discuss the key challenges that the academia and the academics of higher education have to face in relation to AI but also to make recommendations on the strategies that the academia can adopt so to optimize the use of AI in an ethical manner. Due to the lack of knowledge in the field of AI, there is limited literature on the field of AI, especially on issues related to academic integrity. For this reason, this chapter suggests several recommendations on how AI can be a foe not an enemy of academia. Those practices include the developing a culture of ethos for the use of AI among the stakeholder of higher education, the use of AI as a personalized tutor, and on grading. However, from a critical perspective, the most important issue of AI is academic integrity. At this case the stakeholders of higher education must take immediate action so to ensure the ethical use of IA in Higher Education. The authors of this chapter suggest making modifications on the way that students are assessed, including having more examinations and online quizzes along with written assignments which will promote critical reflections so to avoid the use of AI in written assignments.
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The objectives of this study are to develop low cost weaning food for the economically disadvantaged nursing mothers and also to prevent protein energy malnutrition among the…
Abstract
Purpose
The objectives of this study are to develop low cost weaning food for the economically disadvantaged nursing mothers and also to prevent protein energy malnutrition among the infants in Nigeria.
Design/methodology/approach
The blends (sweet potato and soybean flour) were prepared (homogenously) in the ratio of 90:10, 80:20, 70:30, 60:40 and 50:50 of sweet potato and soybean respectively. Triplicate samples of each blend were analyzed for moisture, fat, protein (N × 6.25), crude fiber and ash. Total lipid was estimated by petroleum ether extraction. Carbohydrate content was estimated by difference. Gross energy was determined. Water absorption capacity and bulk density were determined using standard procedures. The pasting characteristics of the flours were evaluated using a standard procedure. The sensory evaluation was carried out on the following parameters: taste, appearance, aroma, mouth (texture), colour and overall acceptability by a panel of ten members using a nine‐point hedonic scale.
Findings
The results of nutritional composition of the supplements showed protein 11.2–33.72 per cent, carbohydrates 42.91–76.51 per cent, fat 3.10–12.78 per cent, energy values 329.5–366.74 kcal/100 g and appreciable quantities of P, Zn, Fe, Mg, Ca, K and Na. The soy‐sweet potato flours had peak viscosity values between 180–365 BU. These values increased when cooled to 50°C, (420–760 BU). Results of this study showed that at 30 per cent soy flour supplementation, the meal could meet satisfactorily the recommended dietary allowances (RDA) for children of 1–3 years old, and that the developed soy‐sweet potato diets were nutritious, inexpensive and can easily be prepared from locally available raw food materials by using simple domestic processing techniques.
Originality/value
Evidence has shown that the cost of commercial weaning formula is very high and most of the low‐income family cannot afford to purchase this commercial weaning food and for such people an alternative low cost weaning formula is helpful.
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M.P. Jenarthanan, R. Gokulakrishnan, B. Jagannaath and P. Ganesh Raj
The purpose of this paper is to find out the optimum machining parameters using Taguchi technique with principal component analysis (PCA) during end milling of GFRP composites.
Abstract
Purpose
The purpose of this paper is to find out the optimum machining parameters using Taguchi technique with principal component analysis (PCA) during end milling of GFRP composites.
Design/methodology/approach
In multi-objective optimization, weight criteria of each objective are important for producing better and accurate solutions. This method has been employed for simultaneous minimization of surface roughness, cutting force and delamination factor. Experiments were planned using Taguchi’s orthogonal array with the machining parameters, namely, helix angle of the end mill cutter, spindle speed, feed rate and depth of cut were optimized with considerations of multiple response characteristics, including machining force, surface roughness and delamination as the responses. PCA is adopted to find the weight factors involved for all objectives. Finally analysis of variance concept is employed on multi-SN ratio to find out the relative significance of machining parameter in terms of their percentage contribution.
Findings
The multi-SN ratio is achieved by the product of weight factor and SN ratio to the performance characteristics in the utility concept. The results show that a combination of machining parameters for the optimized results has helix angle of 35°, machining speed of 4,000 m/min, feed rate of 750 mm/rev and depth of cut of 2.0 mm.
Originality/value
Effect of milling of GFRP composites on delamination factor, surface roughness and machining force with various helix angle solid carbide end mill has not been analysed yet using PCA techniques.
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Srichandan Sahu and K.V.S.S. Narayana Rao
To assess the state of supply chain management (SCM) research in India and to understand the research trends and methodologies used. The present study also aims to create a…
Abstract
Purpose
To assess the state of supply chain management (SCM) research in India and to understand the research trends and methodologies used. The present study also aims to create a taxonomy of the subject areas researched in India.
Design/methodology/approach
The present study employed the systematic literature review methodology. Literature from 395 peer journal papers in 67 leading journals over a 20-year period (2000–2020 Quarter-1) was comprehensively reviewed and assessed.
Findings
SCM research in India started around the year 2000. The quantum of research was low (single digit) until 2010. There has been steady growth over the last decade, and over 50% of the total papers up until now has been published in the last four years. The present study created a three-tiered taxonomy of the subject areas and classified the papers as per it. The first tier (level-1) has seven categories (SCM strategy, network design, SCM processes and integration, IT systems, skills, performance measurement and others). A perusal of the newly created taxonomy revealed that, except for a few areas under level-1 categories (such as SCM processes and SCM strategy), the other level-1 categories have not seen much research. Similarly, there is little or no research in a large number of level-2 categories (such as outsourcing strategy, channel strategy, demand management, demand fulfillment, customer relationship management, integrated supply chain planning, new product development, returns, supply chain orientation, performance monitoring, performance improvement, SCM adoption process, SCM implementation issues and quantified benefits of SCM). Methodologically, the rigor of SCM research in India needs improvement.
Originality/value
A comprehensive taxonomy of SCM subject areas researched in India at three cascading levels was created for the first time in the present study. The taxonomy will help provide researchers with a clear understanding of the structure of the subject areas and help in identifying areas where research has been carried out and the subject areas where gaps exist for future research to proceed. The present study also provides an overview of the methodological rigor of SCM research in India and points out some of the limitations that researchers should avoid in future studies.
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Haris Hameed Mian and Hammad Rahman
Filament wound pressure vessels have a characteristic pattern observed in their helical layers. These are mosaic‐shaped patterns and affect the layer structural behavior. The…
Abstract
Purpose
Filament wound pressure vessels have a characteristic pattern observed in their helical layers. These are mosaic‐shaped patterns and affect the layer structural behavior. The present research aims to focus on the influence of mosaic patterns on stress‐strain field and structural design of thin‐walled internally pressurized filament wound pressure vessel. The widely used stress analysis procedures and the commercially available finite element tools usually neglect the effect of the mosaic patterns. The present work seeks to deal with the modeling and stress analysis of complete pressure vessel, incorporating mosaic patterns.
Design/methodology/approach
The incorporation of the mosaic effect provides more realistic modeling of the real stress distribution and the stress values compared to the conventional analyses (the effect would depend on the shell structure, i.e. number of plies, relative thicknesses, etc.). The structural analysis is performed using commercial finite element analysis (FEA) tools ANSYS.
Findings
The comparison of results of analytical solution and conventional FEA provides close values of the stresses in the plies. As for the stress and strain distributions obtained by incorporating the effect of mosaic patterns are considerably different. The distribution of the stress and strain fields are not uniform along the length of the vessel and along its circumference and the maximum stresses acting in the direction of the fibers are higher than those calculated using conventional FEA techniques.
Originality/value
Previous work was limited to composite cylindrical shells, without incorporating the end domes. The present work deals with the modeling and stress analysis of complete pressure vessel, incorporating mosaic patterns.