An evaluation of just in time (JIT) implementation on manufacturing performance in Indian industry

2014 ◽  
Vol 8 (3) ◽  
pp. 278-294 ◽  
Author(s):  
Gurinder Singh ◽  
Inderpreet Singh Ahuja

Purpose – The purpose of this paper is to create awareness of contributions made by just-in-time manufacturing (JIT) practice towards building performance measures in Indian manufacturing industry. Implications of JIT implementation issues in Indian manufacturing industry have been critically evaluated in this paper. Design/methodology/approach – While conducting this study, survey of reasonable number of manufacturing organisations have been made so as to ascertain contributions made by JIT initiatives in the Indian manufacturing industries for achieving major performance measures. The correlations between various JIT implementation dimensions and performance parameters have been worked out by employing various statistical tools and bringing out significant factors contributing effectively towards achieving manufacturing performance measures. Findings – The study divulges that attitude of management, participation of workers, relationship of organisation with suppliers and customers, adoption of latest manufacturing methods and successful adaptation of effective JIT initiatives can significantly contribute towards enhancing performance measures in the organisation. The study also reveals that the holistic JIT manufacturing methods outscore the traditional manufacturing practices towards improving the manufacturing performance. The study highlights that detailed JIT implementation over a reasonable period can greatly contribute towards achievement in performance of organisation. Originality/value – The present study analyses the impact of JIT manufacturing method on performance of organisation and highlights the need for aligning organisational efforts in establishing manufacturing methods for attaining improvements in performance of manufacturing organisations. The paper highlighted the status of JIT manufacturing initiatives in the Indian context and the preparedness of Indian manufacturing industry to meet the challenges imposed by the Western world by employing aggressive JIT manufacturing strategies.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alberto Bayo-Moriones ◽  
Alejandro Bello-Pindado

PurposeThe purpose of this paper is to analyse the impact on manufacturing performance of human resource management (HRM) practices across two job levels within manufacturing firms in Argentina and Uruguay: that of line managers and frontline workers. HRM practices are categorised into three bundles defined by the AMO theoretical framework: ability, motivation and opportunity.Design/methodology/approachThe article uses data from a survey to 301 manufacturing plants in Uruguay and Argentina. Given the characteristics of the dependent variable, linear regression models have been estimated in order to test the hypotheses.FindingsThe results show that the ability and opportunity bundles for line managers are positively associated with manufacturing performance. However, only the motivation bundle affects manufacturing performance for frontline workers.Research limitations/implicationsThe main limitations are the use of cross-sectional data, the focus on two specific countries and the analysis of two employee categories that are not completely homogenous. The paper extends the contingency perspective in HRM by examining the relevance of job level as a contingent factor in the HRM-performance relationship in the manufacturing industry.Practical implicationsThe results suggest that manufacturing companies should target HR investments more towards line managers than to frontline employees. More specifically, they should concentrate efforts on the ability and opportunity bundles.Originality/valueThe article contributes to the very limited empirical evidence on the impact of HRM differentiation on firm performance by analysing sub-dimensions in a context not previously analysed.


Author(s):  
Jitendra Kumar ◽  
Vimlesh Kumar Soni ◽  
Geeta Agnihotri

Purpose – The purpose of this paper is to identify the relationship between TPM programme and manufacturing performance in Indian manufacturing industries; to discern the benefits obtained from TPM implementation; to identify common indicators; and to explore the common expectation while TPM implementation. Design/methodology/approach – In this paper acceptability and implementation of TPM programme in Indian manufacturing industry have been elaborated to ascertain the tangible and intangible benefits accrued as a result of successful TPM implementation. A semi-structured questionnaire survey approach has been adopted for the justification of TPM implementation and benefits gained by it in Indian context. Survey has covered mainly automobile and machinery sector throughout India. A total of 57 filled responses have been received and analysed to find the impact of TPM programme on manufacturing productivity. Findings – The paper establishes the impact of successful TPM implementation on manufacturing performance. TPM initiatives have shown marked improvement in the equipment availability, performance and produced quality and have also brought appreciable improvement in other manufacturing functions in the organizations. It has been observed that TPM deployment contributes to improve the manufacturing productivity, quality, delivery, safety, morale, ensuring the cost effectiveness of the manufacturing function within the organization. The paper also indicates that overall equipment effectiveness (OEE) can be used for performance improvement without TPM implementation. Research limitations/implications – Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further. Practical implications – This paper highlights the contribution of TPM programme and OEE measure to ensure enhanced manufacturing productivity. The benefits gained by TPM implementation in selected Indian manufacturing industries have been highlighted, that could be genuine source of motivation to other manufacturing organizations to go in for TPM programme. Originality/value – The present study encompasses systematic identification of factors affecting overall organizational performance and the common expectations of the firms through implementation of TPM programme. TPM initiatives provide regular OEE measure, performance monitoring and improvement, and developing guidelines for achieving enhanced manufacturing productivity.


2015 ◽  
Vol 32 (6) ◽  
pp. 559-588 ◽  
Author(s):  
Gurinder Singh ◽  
Inderpreet Singh Ahuja

Purpose – The purpose of this paper is to develop an insight into the prevalent just-in-time (JIT) practices adopted in Indian manufacturing industry for realizing the development and growth of the industrial sector. The endeavor of Indian manufacturing organizations to achieve manufacturing performance enhancement through JIT implementation has been highlighted in the present study. Design/methodology/approach – The present study has been conducted in the large- and medium-scale manufacturing industries of India that have successfully implemented or are in the various stages of implementing JIT. The approach of study has been directed toward assessment of JIT initiatives in Indian manufacturing industries. Findings – From the present study it is apparent that Indian organizations have been reasonably successful in improving the business performance by implementing holistic JIT initiatives and have successfully reaped the benefits of JIT implementation. However, it is also revealed in present study that Indian manufacturing industries need to work more aggressively on managing few issues of JIT. Originality/value – The value of paper is in calculation of percent point score for each issue of JIT in context to Indian manufacturing industry and to find out significant as well as issues that need to worked aggressively by Indian manufacturing industry to reap the benefits of JIT.


2021 ◽  
Vol 13 (2) ◽  
pp. 233-248
Author(s):  
Manogna R.L. ◽  
Aswini Kumar Mishra

Purpose The study aims to analyze the impact of Research & Development (R&D) intensity on the firm’s performance, measured by growth of sales in the emerging market like India. Innovation strategy and its outcomes for firms may be different in developing countries as compared to developed countries. Thus, a study that focuses on the emerging economy like India, with a majority of the population dependent on agriculture, is of prime importance to the firm performance in the food and agricultural manufacturing industry. For this study, the broader focus will be on one widely recognised factor which may influence the growth rate of firms, i.e. investment in innovations which is in terms of R&D expenditure. Design/methodology/approach The paper investigates the relationship between the R&D efforts and growth of firms in the Indian food and agricultural manufacturing industry during 2001–2019. To empirically test the relationship between firm’s growth (FG) and R&D investments, system generalised method of moments technique has been used, hence enabling to avoid problems related to endogeneity and simultaneity. Findings The findings reveal that investments in innovations have a positive effect on the growth of firms in the Indian food and agricultural manufacturing industry. Investment in R&D also enables the firms to reap benefits from externalities present in the industry. Further analysis reveals that younger firms grow faster when they invest in R&D. More specifically, this paper finds evidence in the case of the food and agricultural industry that import of raw materials negatively affects the FG and export intensity positively affects the growth in the case of R&D firms. Research limitations/implications This study suggests that the government should encourage the industries to invest optimally in R&D projects by providing favourable fiscal treatments and R&D subsidies which are observed to have positive effects in various developed countries. Originality/value To the best of the author’s knowledge, the current paper is the first to analyse the impact of innovation in food and agricultural industry on firm’s performance in an emerging economy context with the latest data. This paper agrees that a government initiative to increase private R&D expenditure would have favourable effects on FG as growing investments in R&D lead to further growth of the firms.


1997 ◽  
Vol 43 (9) ◽  
pp. 1246-1257 ◽  
Author(s):  
Sadao Sakakibara ◽  
Barbara B. Flynn ◽  
Roger G. Schroeder ◽  
William T. Morris

2018 ◽  
Vol 29 (2) ◽  
pp. 513-538 ◽  
Author(s):  
Shirish Jeble ◽  
Rameshwar Dubey ◽  
Stephen J. Childe ◽  
Thanos Papadopoulos ◽  
David Roubaud ◽  
...  

PurposeThe purpose of this paper is to develop a theoretical model to explain the impact of big data and predictive analytics (BDPA) on sustainable business development goal of the organization.Design/methodology/approachThe authors have developed the theoretical model using resource-based view logic and contingency theory. The model was further tested using partial least squares-structural equation modeling (PLS-SEM) following Peng and Lai (2012) arguments. The authors gathered 205 responses using survey-based instrument for PLS-SEM.FindingsThe statistical results suggest that out of four research hypotheses, the authors found support for three hypotheses (H1-H3) and the authors did not find support forH4. Although the authors did not find support forH4(moderating role of supply base complexity (SBC)), however, in future the relationship between BDPA, SBC and sustainable supply chain performance measures remain interesting research questions for further studies.Originality/valueThis study makes some original contribution to the operations and supply chain management literature. The authors provide theory-driven and empirically proven results which extend previous studies which have focused on single performance measures (i.e. economic or environmental). Hence, by studying the impact of BDPA on three performance measures the authors have attempted to answer some of the unresolved questions. The authors also offer numerous guidance to the practitioners and policy makers, based on empirical results.


2021 ◽  
pp. 2150031
Author(s):  
H. DENİZ ADA ◽  
MEHMET ERDEM ◽  
KADİR GOK

Today, conventional machining with chip or machining without chip machining manufacturing methods is used to bring to the desired dimensions sizes the machines and equipment used in the industry. However, non-traditional manufacturing methods are used in cases where traditional machining manufacturing methods are inadequate. Cutting with water jet which is one of the non-traditional manufacturing methods is commonly used in several fields of industry. Unlike traditional manufacturing methods such as turning and milling, not using of a physical cutting tool is among the advantages of the method. Abrasive water jet manufacturing method was started to be applied by adding abrasive particles in the water jet. Apart from the superior properties of the method, possible damages occur in the water jet nozzle due to processes such as cutting or drilling by applying high pressure. Erosion-corrosion is the leading damage among these damages. In this study, the erosion-corrosion in the nozzle caused by high-pressure water and abrasive during the abrasive water jet cutting process was simulated in the computer environment. In this paper, the erosion rate in the nozzle was calculated as 6,90E-06[Formula: see text]kg/m2[Formula: see text]s. This value was converted as 0,30[Formula: see text]mm (27,09[Formula: see text]mm for yearly) via developed software for 100[Formula: see text]h.


2020 ◽  
Vol 25 (5) ◽  
pp. 535-548 ◽  
Author(s):  
Hendrik Sebastian Birkel ◽  
Evi Hartmann

Purpose The purpose of this paper is to investigate the implications for supply chain risk management (SCRM) by applying internet of things (IoT). Therefore, the impact and effects on the SCRM process, as well as the internal and external pathway and the outcome of SCRM are examined. Design/methodology/approach This study adopts a multiple case study methodology with twelve companies from the manufacturing industry. This study is guided by the information processing theory (IPT) and a theory-grounded research framework to provide insights into information requirements and information processing capabilities for IoT-supported SCRM. Findings The studied cases demonstrate an increase in data availability in the companies that contribute to improved process transparency and process management. Furthermore, the process steps, risk transparency, risk knowledge and risk strategies have been enhanced, which enabled improved SCRM performance by fitting information requirements and information processing capabilities, thus allowing for competitive advantage. Practical implications This study offers in-depth insights for SCRM managers into the structure of IoT systems, primary use cases and changes for the process itself. Furthermore, implications for employees, incentives and barriers are identified, which could be used to redesign SCRM. Originality/value This study addresses the requirement for additional empirical research on technology-enhanced SCRM, supported by IPT as a theoretical foundation. The radical change of SCRM by IoT is demonstrated while discussing the human role, implications for SCRM strategies and identifying relevant topics for future development.


Author(s):  
Jugraj Singh Randhawa ◽  
Inderpreet Singh Ahuja

Purpose The purpose of this paper is to evaluate the quantitative and qualitative benefits accrued by an Indian automotive parts industry through strategic 5S implementation initiatives. Design/methodology/approach The study involves evaluation of steps involved in systematic implementation of 5S program methodology in an automotive manufacturing organization and investigation of achievements accrued by the industry through the successful implementation of 5S program. Findings The empirical results of the study have revealed that effective practice of 5S program brings considerable level of improvements in the quality, production, cost optimizations, employee’s morale values and work culture in the manufacturing industry. The industry accrued both tangible and non-tangible benefits through the holistic adoption of 5S principals. 5S principals have been envisioned to further support other quality improvement programs like lean manufacturing initiatives of the organizations. Research limitations/implications The limitation of the study is that this research has been carried out in only manufacturing industry while similar study will be conducted in the service industry also. Originality/value Global competition in the manufacturing sector has provided necessary impetus for manufacturing organizations for affecting continuous improvements in manufacturing performance for achieving sustainability and profitability in the competitive market. 5S implementation is the fundamental tool for the overall achievements in both quantitative and qualitative performance enhancements in the manufacturing as well as service organizations.


Author(s):  
Hassan Younis ◽  
Balan Sundarakani ◽  
Prakash Vel

Purpose The purpose of this research is to investigate the implementation of green supply chain management (GSCM) practices and its impact on corporate performance (CP). The research in particular examines the results of implementing a set of GSCM practices on different dimensions of the CP. Design/methodology/approach This study, being the first of its kind in the Middle East, developed a research model to test the relationship between four main GSCM practices namely, eco-design, green purchasing, environmental cooperation and reverse logistics, and four dimensions of CP: operational performance, environmental performance, economic performance and social performance, while controlling three main variables (firm size, firm age and environment management system certification). Statistical analyses were based on the data collected, through survey questionnaires, from 117 firms in the manufacturing industry in the UAE. Reliability and validity of the research model were tested by the commonly accepted statistical tools. To test the hypotheses relating implementation of GSCM practice and CP, multiple regression analysis was used. Findings The finding of the study was that GSCM practices impact the CP dimensions differently. While none of the four GSCM practices were found to have any impact on the environmental performance, green purchasing and environmental cooperation were found to have a significant impact on the operational performance. The study found that only green purchasing plays a role in improving the economic performance, while only reverse logistics practices were found to impact the social performance of the firm positively. Research limitations/implications Research on GSCM is still in the nascent stage. Further refinement of the survey to differentiate between different manufacturing industries might be needed. Generalizability of the findings is also limited because of data collected from manufacturing firms in the UAE. This research provides important insights. The findings of this research are generally consistent with those of prior studies in other parts of the world. Firms in manufacturing industry in the UAE believe that GSCM practices help the company design and develop better products which, in turn, increase the company chances in selling its products in the international markets while, at same time, improving the average profit and market share. It was also found that the UAE firms believe that implementation of GSCM practices help improve the corporate image, enhance employees’ job satisfaction and improve employees’ health and safety. Practical implications Implementation of GSCM practices improves CP in different ways. Supply chain managers are required to decide on the CP dimension they want to improve and accordingly select the appropriate GSCM practices mix that leads to the desired level of improvement. Originality/value Although few earlier researches studied the impact of GSCM on CP, this study is different and makes a unique contribution by offering a holistic view of the impact of implementing four main GSCM practices on all dimensions of CP. The study offers some insights on the type of GSCM practices the firm needs to adopt to improve the targeted performance dimension.


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