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Article
Publication date: 4 April 2022

Hafiz Muhammad Naeem and Patrizia Garengo

This paper proposes an SME oriented Industry 4.0 maturity framework to explore the interplay between manufacturing processes, performance measurement system and management…

Abstract

Purpose

This paper proposes an SME oriented Industry 4.0 maturity framework to explore the interplay between manufacturing processes, performance measurement system and management practices (PMM). Given that the fourth industrial revolution, famously referred to as Industry 4.0, is a new paradigm for manufacturing firms, it is crucial to know the ‘as-is’ state or maturity of SMEs' manufacturing processes and link it with their PMM. Despite the availability of numerous maturity models, no previous study has tried to link the maturity of manufacturing processes with performance measurement and management.

Design/methodology/approach

Due to the exploratory nature of the study and the lack of theoretical base for Industry 4.0 maturity and PMM interaction, especially in the SME context, a multiple case study approach has been adopted due to its robustness and effectiveness under such circumstances.

Findings

There is a strong interplay between the maturity of manufacturing processes and PMM. The firms that have invested in their manufacturing processes have also developed performance measurements. Overall, performance measurement is more developed than performance management practices.

Originality/value

The characteristics of the interplay between the maturity of manufacturing processes and PMM are summarized in three main propositions. Moreover, the study provides practitioners with an assessment framework to help SMEs evaluate the current state of their manufacturing processes and PMM to highlight the areas of improvement towards the I4.0 expedition.

Details

International Journal of Productivity and Performance Management, vol. 71 no. 4
Type: Research Article
ISSN: 1741-0401

Keywords

Article
Publication date: 22 March 2011

Alok Mathur, G.S. Dangayach, M.L. Mittal and Milind K. Sharma

Today's customer‐focused paradigm of business environment puts tremendous pressures of quality, delivery, dependability, flexibility and cost on the manufacturing organisation

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Abstract

Purpose

Today's customer‐focused paradigm of business environment puts tremendous pressures of quality, delivery, dependability, flexibility and cost on the manufacturing organisation. Automatic manufacturing systems offer several advantages and are increasingly being adopted as a strategy to improve the performance of manufacturing organisations. Automatic manufacturing systems are highly sophisticated and expensive, and it is therefore important to maximise their productivity. Yet, one can improve only what one can measure. Performance measurement is the key to improving performance, and is a prerequisite to diagnosing, trouble‐shooting and improving the production system. Accordingly, performance measurement has been attracting increasing attention over the last two decades, and several frameworks have emerged for the design, review, evaluation and improvement of performance measurement systems for businesses and manufacturing organizations. The performance measurement, monitoring and continuous productivity improvement of automatic manufacturing systems has assumed special significance on account of their high investments and operating costs.

Design/methodology/approach

A review of the current literature is undertaken to determine the current status and the status of performance measurement in automated production systems.

Findings

Overall equipment effectiveness (OEE) has emerged as one important and universally accepted metric for measuring the overall performance of single automatic equipments. OEE has been further adapted and extended into several variations for use as a metric for automatic manufacturing systems consisting of several automatic machines.

Originality/value

This paper reviews the recent developments and the current status of performance measurement of automatic manufacturing systems.

Details

Measuring Business Excellence, vol. 15 no. 1
Type: Research Article
ISSN: 1368-3047

Keywords

Article
Publication date: 20 February 2009

Rosemary R. Fullerton and William F. Wempe

The purpose of this paper is to examine how utilization of non‐financial manufacturing performance (NFMP) measures impacts the lean manufacturing/financial performance…

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Abstract

Purpose

The purpose of this paper is to examine how utilization of non‐financial manufacturing performance (NFMP) measures impacts the lean manufacturing/financial performance relationship.

Design/methodology/approach

A structural equation model (SEM) is estimated using data provided by 121 US manufacturing executives. In addition to examining direct effects, the study examines whether NFMP measurement mediates or moderates the lean manufacturing/financial performance relationship.

Findings

The results provide substantial evidence that utilization of NFMP measures mediates the relationship between lean manufacturing and financial performance.

Research limitations/implications

The study's findings regarding NFMP measurement suggest that the mixed results of prior studies of the lean manufacturing/financial performance relationship may be due in part to a failure to account for NFMP measurement. Limitations of the study are the non‐random sample and its small sample size, relative to the SEM estimated.

Practical implications

Managers who implement lean manufacturing without utilizing supportive NFMP measures may experience disappointing financial results.

Originality/value

This is the first known study that adopts a SEM framework to examine: how NFMP measurement affects the relationship between lean production and profitability; the direct relationship between NFMP measurement and firm performance; and the impact of lean manufacturing on externally audited, objective measures of firm performance.

Details

International Journal of Operations & Production Management, vol. 29 no. 3
Type: Research Article
ISSN: 0144-3577

Keywords

Article
Publication date: 1 February 2006

Carlos F. Gomes, Mahmoud M. Yasin and João V. Lisboa

The objective of this study is to shed some light on performance measurement issues relevant to current practices.

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Abstract

Purpose

The objective of this study is to shed some light on performance measurement issues relevant to current practices.

Design/methodology/approach

The performance measurement practices in terms of utilization, relevance, and availability of information are studied for a sample of 92 Portuguese manufacturing executives. Several statistical instruments were used namely multiple regression analysis, cluster analysis and gap analysis.

Findings

The results of this study underscore consistent patterns pointing to a lack of a broad perspective on manufacturing performance measurement. Conclusions and their implications to the theory and art of performance measurement are presented.

Research limitations/implications

The sample used in this study is specific in nature (Portuguese executives). Thus, the results should be interpreted accordingly. Future research should test the applicability of the obtained results using other sample frames.

Practical implications

This study provides practicing managers with useful information regarding performance measures and measurement practices.

Originality/value

This study represents an important step toward refining the theory and practice of performance measurement in manufacturing organizations.

Details

Journal of Manufacturing Technology Management, vol. 17 no. 2
Type: Research Article
ISSN: 1741-038X

Keywords

Open Access
Article
Publication date: 10 December 2021

Pingan Zhu, Chao Zhang and Jun Zou

The purpose of the work is to provide a comprehensive review of the digital image correlation (DIC) technique for those who are interested in performing the DIC technique in the…

Abstract

Purpose

The purpose of the work is to provide a comprehensive review of the digital image correlation (DIC) technique for those who are interested in performing the DIC technique in the area of manufacturing.

Design/methodology/approach

No methodology was used because the paper is a review article.

Findings

no fundings.

Originality/value

Herein, the historical development, main strengths and measurement setup of DIC are introduced. Subsequently, the basic principles of the DIC technique are outlined in detail. The analysis of measurement accuracy associated with experimental factors and correlation algorithms is discussed and some useful recommendations for reducing measurement errors are also offered. Then, the utilization of DIC in different manufacturing fields (e.g. cutting, welding, forming and additive manufacturing) is summarized. Finally, the current challenges and prospects of DIC in intelligent manufacturing are discussed.

Details

Journal of Intelligent Manufacturing and Special Equipment, vol. 2 no. 2
Type: Research Article
ISSN: 2633-6596

Keywords

Article
Publication date: 19 December 2022

Melisa Ozbiltekin-Pala, Aydın Koçak and Yigit Kazancoglu

COVID-19 is a global event affecting supply chain operations and human health. With COVID-19, many issues in business models, business processes and supply chains, especially in…

Abstract

Purpose

COVID-19 is a global event affecting supply chain operations and human health. With COVID-19, many issues in business models, business processes and supply chains, especially in the manufacturing industry, have had to change. The ability to analyze supply chain performances and ensure circularity in supply chains has become one of the factors whose importance has increased rapidly with COVID-19. Therefore, it aims to determine which supply chain performance criteria come to the fore for the company under consideration to accelerate the transformation into high performance and circularity in supply chains.

Design/methodology/approach

In this study, a new circular-SCOR model is proposed, and 17 supply chain performance measurement criteria are prioritized for a manufacturing company in the context of circular economy principles during COVID-19 by using stepwise weight assessment ratio analysis and analytical hierarchy process method, separately.

Findings

As a result, for both methods, in the case study discussed, the demand fulfillment rate is determined as the most prominent criterion in line with the circular economy principles in the COVID-19 period in manufacturing supply chains.

Originality/value

It is expected that this study will contribute to managers and policy makers as it addresses the “new normal” that started after COVID-19 and the criteria to be considered in supply chain performance measurement and emphasizes the need to adopt circular supply chains, especially in manufacturing industries.

Details

International Journal of Quality & Reliability Management, vol. 40 no. 5
Type: Research Article
ISSN: 0265-671X

Keywords

Article
Publication date: 12 April 2011

P. Parthiban and Mark Goh

The objective of this paper is to develop an integrated model for performance management (PM) of manufacturing industries.

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Abstract

Purpose

The objective of this paper is to develop an integrated model for performance management (PM) of manufacturing industries.

Design/methodology/approach

The proposed integrated model consists of performance measurement by the extended Brown Gibson model by considering the objective and the service quality factors. The quality factor measure has been evaluated by using the analytic hierarchy process. On the non‐compliance of the performance measures with the satisfactory levels, quality function deployment is used to redesign the existing manufacturing process.

Findings

This study provides a way to identify the current performance of an organization and a methodology for further improvement. An important contribution of this model is that it combines both the qualitative and quantitative dimensions of manufacturing performance measurement. Both the objective and manufacturing quality factors have been converted into consistent dimensionless indices to measure system performance.

Practical implications

This study has demonstrated the applicability of the model to support a manufacturing unit. It has shown how performance measures have been identified and how they can be used to calculate the two different manufacturing units using time, cost and service quality dimensions. Improving performance is a never‐ending process and organizations should strive to achieve it to attain the optimal level of cost and profit, as well as increase customer satisfaction and goodwill, and gain potential future business. Hence, the process of measuring and redesigning manufacturing performance measures needs to be monitored and the implementation plans reviewed often, which is successfully done by this integrated model.

Originality/value

We contend that the integrated model for PM, illustrated with a practical case in this paper makes a contribution to the never‐ending process of performance enhancement for both theory and application, and assists in expanding the boundaries of theory and practicality in this area, thus highlighting the novelty of our approach.

Details

Benchmarking: An International Journal, vol. 18 no. 2
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 26 August 2014

Ibrahim H. Garbie

The purpose of this paper is to propose a new performance analysis and measurement regarding reconfigurable manufacturing systems (RMS) taken into consideration new circumstances…

Abstract

Purpose

The purpose of this paper is to propose a new performance analysis and measurement regarding reconfigurable manufacturing systems (RMS) taken into consideration new circumstances which include changes in the market demand, changes in a product design, and/or introduction of a new product. As the reconfiguration process is applied to a manufacturing system to improve the system's performance due to new circumstances, the RMS process has potential quantitative and qualitative measures.

Design/methodology/approach

The manufacturing system has a great impact on the performance measurement and the selection of the objectives to measure the performance is very important. These objectives include the critical requirements for a RMS and they are as follows: product cost, manufacturing response, system productivity, people behavior, inventory, and quality of the finished products. Because each criterion measure in a RMS is a potential source of evaluation, it should have a relative weight with respect to the other measures. First, each criterion will be measured individually. Second, these measures need to be evaluated through an aggregate quantitative metric because there is a lack of analytical techniques to analyze and evaluate both qualitative and quantitative measures.

Findings

Performance evaluation of a RMS from one circumstance to another is highly desired by using the new quantitative metric regarding updating (upgrading) the system for the next period based on the previous one. The results show that the applicable of using this new technique in evaluating the RMS. The results also support the new quantitative metric.

Originality/value

The suggestion of a new aggregate performance measurement metric including the all potential objectives is highly considered. This paper provides an insight into each objective individually to measure it. It is also used from 0 to 1 as range of measure to evaluate the potential and aggregate metrics toward next reconfiguration with respect to the existing one.

Details

Journal of Manufacturing Technology Management, vol. 25 no. 7
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 1 September 2004

Carlos F. Gomes, Mahmoud M. Yasin and João V. Lisboa

Competitive pressures in the global manufacturing environment are forcing manufacturing organizations to re‐engineer in order to become more competitive in the marketplace. Toward…

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Abstract

Competitive pressures in the global manufacturing environment are forcing manufacturing organizations to re‐engineer in order to become more competitive in the marketplace. Toward that end, management of these organizations is paying closer attention to the changing nature of manufacturing performance, and the systems, processes and measures used in its evaluation. Examines the literature concerned with issues related to the different facets of manufacturing organizational performance. Reviews and classifies articles published in relevant journals between 1988 and 2000. Based on this extensive literature review, identifies and discusses several issues relevant to both practice and theory of manufacturing performance measurement. Concludes by presenting a conceptual framework outlining the evolution of manufacturing performance measures and measurement in an organizational context.

Details

Journal of Manufacturing Technology Management, vol. 15 no. 6
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 1 January 1999

Patrik Jonsson and Magnus Lesshammar

The paper identifies six requirements: four critical dimensions (what to measure) and two characteristics (how to measure) of an overall manufacturing performance measurement

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Abstract

The paper identifies six requirements: four critical dimensions (what to measure) and two characteristics (how to measure) of an overall manufacturing performance measurement system. The overall equipment effectiveness (OEE) measure in such a system is assessed against these ideal requirements. The current measurement systems, and the potential of OEE, of three manufacturing organisations are evaluated with the dimensions and characteristics as comparative data. A common weakness of the systems was that they did not measure flow orientation or external effectiveness to any great extent. Another weakness was a high degree of complexity and lack of continuous improvement. Field experiments in the studied organisations showed that use of OEE in combination with an open and decentralised organisation design could improve several of those weaknesses.

Details

International Journal of Operations & Production Management, vol. 19 no. 1
Type: Research Article
ISSN: 0144-3577

Keywords

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