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Article
Publication date: 20 September 2018

Parminder Singh Kang and Rajbir Singh Bhatti

Continuous process improvement is a hard problem, especially in high variety/low volume environments due to the complex interrelationships between processes. The purpose of this…

797

Abstract

Purpose

Continuous process improvement is a hard problem, especially in high variety/low volume environments due to the complex interrelationships between processes. The purpose of this paper is to address the process improvement issues by simultaneously investigating the job sequencing and buffer size optimization problems.

Design/methodology/approach

This paper proposes a continuous process improvement implementation framework using a modified genetic algorithm (GA) and discrete event simulation to achieve multi-objective optimization. The proposed combinatorial optimization module combines the problem of job sequencing and buffer size optimization under a generic process improvement framework, where lead time and total inventory holding cost are used as two combinatorial optimization objectives. The proposed approach uses the discrete event simulation to mimic the manufacturing environment, the constraints imposed by the real environment and the different levels of variability associated with the resources.

Findings

Compared to existing evolutionary algorithm-based methods, the proposed framework considers the interrelationship between succeeding and preceding processes and the variability induced by both job sequence and buffer size problems on each other. A computational analysis shows significant improvement by applying the proposed framework.

Originality/value

Significant body of work exists in the area of continuous process improvement, discrete event simulation and GAs, a little work has been found where GAs and discrete event simulation are used together to implement continuous process improvement as an iterative approach. Also, a modified GA simultaneously addresses the job sequencing and buffer size optimization problems by considering the interrelationships and the effect of variability due to both on each other.

Details

Business Process Management Journal, vol. 25 no. 5
Type: Research Article
ISSN: 1463-7154

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Article
Publication date: 15 January 2025

Parminder Singh Kang and Bhawna Bhawna

This paper explores the application of supervised machine learning (ML) classification models to address supplier performance analysis and risk profiling as a multi-class…

47

Abstract

Purpose

This paper explores the application of supervised machine learning (ML) classification models to address supplier performance analysis and risk profiling as a multi-class classification problem. The research highlights that current applications of machine learning in supplier selection primarily focus on binary classification problems, underscoring a significant gap in the literature.

Design/methodology/approach

This research paper opts for a structured approach to solve supplier selection and risk profiling using supervised machine learning multi-class classification models and prediction probabilities. The study involved a synthetic data set of 1,600 historical data points, creating a supplier selection framework that simulates current supply chain (SC) performance. The “Supplier Analysis and Selection ML Module” guided supplier selection recommendations based on ML analysis. Real-world variability is introduced through random seeds, impacting actual delivery dates, quantity delivered and quality performance. Supervised ML models, with hyperparameter tuning, enable multi-class classification of suppliers, considering past delivery performance and risk calculations.

Findings

The study demonstrates the effectiveness of the supervised ML-based approach in ensuring consistent supplier selection across multi-class classification problems. Beyond evaluating past delivery performance, it introduces a new dimension by predicting and assessing supplier risks through ML-generated prediction probabilities. This can enhance overall SC visibility and help organizations optimize strategies associated with risk mitigation, inventory management and customer service.

Research limitations/implications

The findings highlight the adaptability of ML-based methodologies in dynamic SC environments, providing a proactive means to identify and manage risks. These insights are vital for organizations aiming to bolster SC resilience, particularly amid uncertainties.

Practical implications

The practical implications of this study are significant for both commercial and humanitarian supply chain management (SCM). For commercial applications, the ML-based methodology allows businesses to make more informed supplier selection decisions, reducing risks and improving operational efficiency. In disaster and humanitarian SC contexts, the use of ML can improve preparedness and resource allocation, ensuring that critical supplies reach affected areas promptly.

Social implications

The study’s implications extend to disaster and humanitarian SCM, where timely and efficient delivery is critical for saving lives and alleviating suffering. ML tools can improve preparedness, resource allocation and coordination in these contexts, enhancing the resilience and responsiveness of humanitarian supply chains.

Originality/value

Unlike conventional methods focused on quality, cost and delivery performance aspects, the current study introduces supervised ML to identify and assess supplier risks through prediction probabilities for multi-class classification problems (delivery performance as late, on-time and ahead), offering a refined understanding of supplier selection in dynamic SC environments.

Details

Business Process Management Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-7154

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Article
Publication date: 8 May 2017

Manish Kumar Chatli, Neeraj Gandhi and Parminder Singh

The sensory quality and yield of mozzarella cheese deteriorate as the fat content in milk is reduced. This study aims to evaluate the efficacy of sodium alginate as a fat replacer…

278

Abstract

Purpose

The sensory quality and yield of mozzarella cheese deteriorate as the fat content in milk is reduced. This study aims to evaluate the efficacy of sodium alginate as a fat replacer in low-fat buffalo mozzarella cheese on the basis of processing and storage (4 ± 1°C) quality.

Design/methodology/approach

Five treatments of buffalo mozzarella cheese, viz., control full-fat cheese (6.0 per cent milk fat; CFFC), control low-fat cheese (<0.5 per cent milk fat) without sodium alginate (CLFC), low-fat cheese with 0.1 per cent sodium alginate (LFC-1), 0.2 per cent sodium alginate (LFC-2) and 0.3 per cent sodium alginate (LFC-3), were comparatively evaluated.

Findings

Increase in the level of sodium alginate increased the percent yield of treated low-fat cheese than CLFC. Addition of sodium alginate to low-fat cheese resulted in decrease in hardness (p = 0.023) and chewiness than CLFC. Meltability was significantly decreased (p = 0.03) in low-fat cheese than CFFC. It was recorded as 1.5 ± 0.14 cm for CFFC to 0.2 ± 0.08 cm in LFC-3. Sensory panellists awarded LFC-3 highest and lowest to LFC-1; however, treated products at all selected levels were superior to CLFC. Oxidative stability and microbial stability were improved in LFC-3 than CFFC during storage.

Practical implications

Results concluded that 0.3 per cent sodium alginate is optimum for the development of extended shelf-life functional/low-fat/low-calorie buffalo mozzarella cheese.

Originality/value

Processing interventions can be successfully used to develop low-fat/low-calorie mozzarella cheese with acceptable sensory attributes and longer storage life.

Details

Nutrition & Food Science, vol. 47 no. 3
Type: Research Article
ISSN: 0034-6659

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Article
Publication date: 12 August 2024

Rickard Enstroem, Parminder Singh Kang and Bhawna Bhawna

This study introduces the Harmonized Information-Technology and Organizational Performance Model (HI-TOP), which addresses the need for a holistic framework that integrates…

109

Abstract

Purpose

This study introduces the Harmonized Information-Technology and Organizational Performance Model (HI-TOP), which addresses the need for a holistic framework that integrates technology and human dynamics within organizational settings. This approach aims to enhance organizational productivity and employee well-being by aligning technological advancements with human factors in the context of digital transformation.

Design/methodology/approach

Employing a two-phased methodology, the HI-TOP model is developed through a literature review and text mining of industry reports. This approach identifies and integrates critical themes related to ICT integration challenges and opportunities within organizations.

Findings

This research indicates that successful ICT integration requires balancing technological advancements with human-centric considerations, including addressing technostress and promoting skills development. The HI-TOP model’s four components – Workforce Empowerment and Resource Strategy (WERS), Technology-Enhanced Information Architecture (TEIA), Organizational Information Processing Strategy (OIPS) and Knowledge Sharing Platform (KSP) – demonstrate operational and strategic synergy required to achieve enhanced organizational performance and adaptability.

Originality/value

The HI-TOP model contributes to the body of knowledge by providing a structured framework for understanding the interplay between technology and organizational dynamics, with an emphasis on employee well-being and overall organizational performance. Its originality lies in the integrative approach to model development, combining theory with empirical insights from industry data, thus offering actionable guidance for organizations navigating the complexities of digital transformation.

Details

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

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Book part
Publication date: 6 February 2023

Md Rakibul Hasan, Mihir Kumar Pal and Pinki Bera

Pharmaceutical industry is one of the sunrise industries in the Indian manufacturing sector. It has flourished in the recent past. This chapter makes a comparative analysis of the…

Abstract

Pharmaceutical industry is one of the sunrise industries in the Indian manufacturing sector. It has flourished in the recent past. This chapter makes a comparative analysis of the productivity growth of Indian pharmaceutical industry using production function approach and adopting two distinct measures of labour input and also explains whether the growth and productivity is eco-friendly or not. Annual Survey of Industries (ASI) data is considered as data base and the time period 1980–1981 to 2016–2017 is considered which is sub-divided into four periods (1980–1981 to 1989–1990; 1990–1991 to 1999–2000; 2000–2001 to 2009–2010; and rest of the period). The pattern of result for both the measures are more or less in the same direction. A remarkable growth in total factor productivity (TFP) is observed after the initiation of new economic policy for both the method used. So far as the environmental issues are concerned, this industry seems to have been polluting the environment, as per unit use of energy is increasing over time.

Details

The Impact of Environmental Emissions and Aggregate Economic Activity on Industry: Theoretical and Empirical Perspectives
Type: Book
ISBN: 978-1-80382-577-9

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Article
Publication date: 11 May 2015

Tarun Pal Singh, Parminder Singh and Pavan Kumar

The purpose of this paper is to focus on natural food additives identified in the drumstick (Moringa Oleifera) and their probable application as novel ingredients in the…

616

Abstract

Purpose

The purpose of this paper is to focus on natural food additives identified in the drumstick (Moringa Oleifera) and their probable application as novel ingredients in the development of functional food products. This plant additive has attracted interest as one of the prominent candidates for the purpose of improving processing, quality and the safety of various livestock foods such as meat, milk, fish and their products. The search of natural food additives for the processing and preservation of high-quality, ready-to-eat products has notably increased due to the adverse effects of chemical additives on human health.

Design/methodology/approach

Traditionally, Moringa is a pan-tropical plant species, which is well-known for its nutritional and medicinal properties in human nutrition. Its leaves, seeds, flowers, pods (fruit), bark and roots are extremely valuable sources of nutrition for people of all ages. Moringa is nowadays also considered as an important source of nutraceuticals which may find wide application in the food industry. These nutraceuticals have a positive impact on the body’s function or condition by affecting the digestive, endocrine, cardiovascular, immune and nervous systems, and it may ultimately influence health.

Findings

Several additives that are released in vitro or in vivo from various parts of Moringa have been attributed to different health effects, including antimicrobial properties, antioxidant activities, anti-tumour, anti-inflammatory, anti-ulcer, anti-atherosclerotic, anti-convulsant activities and there is enhancement of nutritional and organoleptic attributes of various livestock foods. Extensive research has been undertaken to identify and characterize these additives as a new source of biologically active ingredients for the development of functional foods with specific benefits for human health.

Originality/value

This paper focuses on the properties, utilization and scope of Moringa Oleifera in livestock products, all of which indicate that its effective utilization is the need of the hour.

Details

Nutrition & Food Science, vol. 45 no. 3
Type: Research Article
ISSN: 0034-6659

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Article
Publication date: 8 February 2016

Parminder Singh

The aim of the paper is to shed light on the use of chitosans and chitooligosaccharides as biopreservatives in various foods animal. Foods of animal and aquatic origin (milk…

758

Abstract

Purpose

The aim of the paper is to shed light on the use of chitosans and chitooligosaccharides as biopreservatives in various foods animal. Foods of animal and aquatic origin (milk, meat, fish, eggs, sea foods, etc) become contaminated with a wide range of microorganisms (bacteria, molds and yeasts) during harvesting, transporting, processing, handling and storage operations. Due to the perishable nature of these foods, their preservation is of utmost importance. Though many synthetic chemicals are available, yet their use is quite restricted due to their hazardous effects on human health.

Design/methodology/approach

Within the domain of food industry, traditionally chitosan is used for biopreservation of foods, which is well known for its nutritional and medicinal properties in human nutrition. However, chitooligosaccharides also possess a number of nutraceutical and health promoting properties in addition to their preservative effect and shelf-life extension of foods. In this study, the comparative effects of both chitosan and chitooligosaccharides on preservation of foods of animal and aquatic origin have been summarized.

Findings

Though chitosan has been extensively studied in various foods, yet the use of chitooligosaccharides has been relatively less explored. Chitooligosaccharides are bioactive molecules generated from chitosan and have several advantages over the traditional use of chitosan both in food products and on human health. But unfortunately, little or no literature is available on the use of chitooligosaccharides for preservation of some of the foods of animal origin. Notable examples in this category include cheese, beef, pork, chicken, fish, sea foods, etc.

Originality/value

This paper focuses on the effects of chitosans and chitooligosaccharides on the processing and storage quality of foods of animal and aquatic origin, which offers a promising future for the development of functional foods.

Details

Nutrition & Food Science, vol. 46 no. 1
Type: Research Article
ISSN: 0034-6659

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Article
Publication date: 20 June 2008

Jennifer Jarman and Parminder Singh Chopra

This paper aims to argue that the World Bank‐sanctioned strategy of investing in knowledge economy infrastructure will not make a developing country competitive in the highest…

3937

Abstract

Purpose

This paper aims to argue that the World Bank‐sanctioned strategy of investing in knowledge economy infrastructure will not make a developing country competitive in the highest value activities such as research, design and innovation.

Design/methodology/approach

The paper examines Malaysia's efforts to increase its national income and change its position from a “middle‐income” country to one with a standard of living equivalent to a developed country by 2020. Specifically, it analyses Malaysia's strategy of constructing a multimedia super corridor, a multibillion‐dollar state‐led project to attract knowledge‐intensive operations to Malaysia.

Findings

Despite the creation of a world‐class infrastructure, the Malaysian government has not been successful in realising its original aim of creating a cutting‐edge multimedia research and development hub. Instead a thriving business support services sector has developed. Therefore, it is by no means a guaranteed way to close the gap between rich and poor nations.

Research limitations/implications

Official data relating to the activities of firms not only are limited but also have been made problematic by changes in categorisation over the relevant years. Analysis that is more conclusive requires the publication of official data with greater detail about firm activities and a standardised reporting format over time.

Originality/value

This is one of the first academic studies discussing the rise of the business services industry in Malaysia and its relationship with the MSC infrastructure development project.

Details

International Journal of Sociology and Social Policy, vol. 28 no. 5/6
Type: Research Article
ISSN: 0144-333X

Keywords

Available. Content available
Book part
Publication date: 29 August 2022

Aaditeshwar Seth

Free Access. Free Access

Abstract

Details

Technology and (Dis)Empowerment: A Call to Technologists
Type: Book
ISBN: 978-1-80382-393-5

Available. Content available
Article
Publication date: 20 June 2008

Robert M. Blackburn

1818

Abstract

Details

International Journal of Sociology and Social Policy, vol. 28 no. 5/6
Type: Research Article
ISSN: 0144-333X

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