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The research indicates there is a positive link between the improvement capability of an organisation and the intensity of effort applied to a business process improvement (BPI) project or initiative. While a degree of stochastic variation in applied effort to any particular improvement project may be expected there is a clear need to quantify the causal relationship, to assist management decision, and to enhance the chance of achieving and sustaining the expected improvement targets. The paper aims to discuss these issues.

The paper presents a method to obtain the function that estimates the range of applicable effort an organisation can expect to be able to apply based on their current improvement capability. The method used analysed published data as well as regression analysis of new data points obtained from completed process improvement projects.

The level of effort available to be applied to a process improvement project can be expressed as a regression function expressing the possible range of achievable BPI performance within 90 per cent confidence limits.

The data set applied by this research is limited due to constraints during the research project. A more accurate function can be obtained with more industry data.

When the described function is combined with a separate non-linear function of performance gain vs effort a model of performance gain for a process improvement project as a function of organisational improvement capability is obtained. The probability of success in achieving performance targets may be estimated for a process improvement project.

The method developed in this research is novel and unique and has the potential to be applied to assessing an organisation’s capability to manage change.

Many methodologies and techniques for improving operational performance have been developed over the years – these provide structured ways of improving company performance, but they do not explicitly tell us where to start. To be able to improve performance effectively, it is important to identify the particular factors of performance to work with. Furthermore, it is important to find those factors that have a high impact on performance. The paper presents a definition of performance, productivity and profitability and two main views of the relationships between the terms – a hierarchical view and a subset view. Each has its merits. Offers brief descriptions of some improvement techniques to show where the ideas for the suggested improvement method are taken from, i.e. a part of the analysis and synthesis process. Most of the techniques described are analysis tools, as the focus here is on identifying areas to improve – when it comes to the actual improvement, the actual solution is often quite easy. Finally, proposes a methodology for improvement work – this is to be evaluated in later research.

Describes a methodology, called CUTE, after the ESPRIT‐project CUTE (Continuous Improvement using Information Technology towards Excellence) which was aimed at the development of a software‐aided tool to support companies, in particular small and medium‐sized enterprises (SMEs) with the development of a sustained CI process. CUTE is based on a variety of hitherto mostly separate disciplines, in particular organisation design, operations management, innovation management and information technology. The methodology guides the user through a number of steps in which causes of poor performance are revealed, ways to develop improvement suggestions are generated, and the company’s capabilities to further develop and implement those suggestions are assessed. Through the ongoing development, implementation and evaluation of improvements both the company’s performance and its CI capabilities are improved continuously. A first test of the methodology has shown that CUTE helps users to increase their understanding of their operations and performance, and that the methodology provides a stimulus for starting focused improvement activities.

The purpose of this paper is to empirically test the relationship between supply chain (SC) collaboration and performance improvement.

In keeping with the extant literature, hypotheses were developed incorporating dimensions of supplier and customer collaboration and performance improvement. Factor analysis and linear statistical models for correlation and analysis of variance were used to test the hypotheses with IMSS 2001 data on 374 firms from the engineering/assembly industry across 11 European countries.

Only weak empirical support was found for the hypothesized positive relationships between supplier (or customer) collaboration and performance improvement. There was partial empirical support for the impact of collaboration, both with suppliers and customers, on rates of improvement. For information exchange, performance improvement in respect of cost, flexibility, quality, and procurement was supported, whereas for structural collaboration, only improvement in respect of flexibility and procurement was supported. There was strong empirical support for the hypothesized higher levels of collaboration among companies showing higher performance improvement.

Using cross‐sectional (versus longitudinal), perceptual (rather than absolute) data, coming from a principal firm (rather than from each collaborative entity).

This study indicates that firms need to adopt a concerted approach to collaboration both with suppliers and customers in order to reap maximum performance improvement benefits in the area of cost, flexibility, quality, delivery, procurement, and time‐to‐market.

This study goes beyond analytical modeling and case‐study research on the relationship between SC collaboration and performance improvement and offers industry‐based empirical results on consolidated practical and theoretical insights.

The purpose of this paper is to review the literature concerning supply chain management technology (SCMT) and financial performance, and to present a model for evaluating the financial performance benefits of investments in supply chain management technologies. The literature review and the associated model also lead to a discussion of opportunities for future research in the area.

To develop the model, a comprehensive review of the literature investigating the financial performance benefits of SCMT and other closely‐related information technologies, such as inter‐organizational systems, was performed. Findings from the reviewed studies were assimilated and used as the basis for the proposed model and for recommended avenues of future research.

The literature reviewed suggested that financial performance improvements from SCMT investments are derived from improvements in knowledge‐intensive capabilities, which lead to improvements in operational capabilities, leading, in turn, to first‐ and second‐order benefits. The ability to realize benefits is also influenced by a firm's position within the supply chain and exogenous economic forces.

This paper contributes to the knowledge of how financial gains are realized as the result of investments in SCMT, and provides context within which future research efforts can be placed. Future research opportunities are also discussed.

The evaluation of time-based performance is a valued approach in the lean management thinking which is based on delivering value from customer's perspective. This approach contributes for long-term competitiveness and success in today's business environment. The focus of this study is to analyse the cycle time and manufacturing lead time with value stream mapping (VSM) in the preparatory stage of the textile fabric manufacturing process and to identify and improve the non-value adding activities in the value chain (VC). The study presents an insight on the translation of performance improvement across functions and how upstream supply chain (SC) segments can be linked in the performance improvement program. It also covers how the application of VSM improves visibility and planning flexibility in textile fabric manufacturing process.

The time-based performance was evaluated using VSM and recording of the activity times in the existing process. The impact of the quality of supplier's raw material was also measured contributing to identify the strategy for procurement and the means to establish a feedback system to the upstream segments of the SC. The methodology of VSM, observation of the practice and the expertise of the individuals involved with the process were utilised to develop the value stream maps and to identify value adding activities, non-value adding activities, existing gaps and plans for improvement.

The means for improving the time-based performance were identified and their impact was measured. The factors responsible for improvement are related to the production system and with the procurement strategy. The improvement was achieved in terms of available capacity utilisation, balancing the work flow in the preparatory stages, visibility of the process by measuring its capability and flexibility for the planning function. The study revealed that the effectiveness and enhancement of VSM and related tools should be adopted to address the issue of limiting success rates of long term and repeating application of such tools. Continuous improvement, innovations and the systematic embedding of VSM in the process life cycle provide the ways for achieving long-term success.

The paper presents a real and in-depth study on the application of VSM in the textile manufacturing process. The scope of the study is broad; it covers activities across functions with actual estimates of activity times in the manufacturing process for the focused value streams. It offers researchers the opportunity to analyse the translation of productivity improvement across functions and how upstream SC segments can be linked in a performance improvement program.

The study offers useful insight for the managers in textile manufacturing and other sectors for improving the time-based performance and achieving higher utilisation of capacity. It identified the production factors and their impact on warping and sizing cycle time in selected value streams and those which share common activities. It also identified the directions for future research when repeating the application of VSM in the continuous improvement cycle. Furthermore, since the industries need to progress towards advanced systems including Industry 4.0 standards, adoption of advanced VSM tool with relevant technology can align their production systems to develop the required capability. This will also bring a sustainable competitive advantage in the system.

The focused sector is stagnant in terms of productivity and innovation. The adoption of the advanced tools can facilitate the implementation of continuous improvement and innovation strategies.

The main focus of this study is to analyse and improve the cycle time in the preparatory stage of the fabric manufacturing process. This has impact on other important and tangible measures including capacity utilisation and work flow and intangible measures including production planning flexibility and process visibility. The improvement impact is across departments.

The purpose of this paper is to evaluate the contributions of total productive maintenance (TPM) initiatives towards improving manufacturing performance in Indian Manufacturing Industry.

In this study, a large number of manufacturing organizations have been extensively surveyed, to ascertain contributions made by TPM initiatives in the Indian manufacturing industries towards realizing manufacturing performance improvements. The correlations between various TPM implementation dimensions and manufacturing performance improvements have been evaluated and validated by employing various statistical tools.

The research focuses upon the significant contributions of TPM implementation success factors like top management leadership and involvement, traditional maintenance practices and holistic TPM implementation initiatives, towards affecting improvements in manufacturing performance in the Indian industry. The inter‐relationships between various TPM implementation success factors with the manufacturing performance improvement parameters have been evaluated, to efficiently manage the TPM implementation program to realize organizational objectives of growth and sustainability.

The study establishes that focused TPM implementation over a reasonable time period can strategically contribute towards realization of significant manufacturing performance enhancements.

The study stresses upon the need for improving the synergy between maintenance function and other organizational quality improvement initiatives in the organizations, to establish maintenance as a competitive strategy for meeting the challenges of highly competitive environments.

The study highlights the strong potential of TPM implementation initiatives in affecting organizational performance improvements. The achievements of Indian manufacturing organizations through proactive TPM initiatives have been evaluated and critical TPM success factors identified for enhancing the effectiveness of TPM implementation programs in the Indian context.

Equipment performance helps the manufacturing sector achieve operational and financial improvements despite process variations. However, the literature lacks a clear index or metric to quantify the monetary advantages of enhanced equipment performance. Thus, the paper presents two innovative monetary performance measures to estimate the financial advantages of enhancing equipment performance by isolating the effect of manufacturing fluctuations such as product mix price, direct and indirect characteristics, and cost changes.

The research provides two measures, ISB (Improvement Saving Benefits) and IEB (Improvement Earning Benefits), to assess equipment performance improvements. The effectiveness of the metrics is validated through a three stages approach, namely (1) experts' binary opinion, (2) sample, and (3) actual cases. The relevant data may be collected through accounting systems, purpose-built software, or electronic spreadsheets.

The findings suggest that both measures provide an effective cost–benefit analysis of equipment performance enhancement. The measure ISB indicates savings from performance increases when equipment capacity is greater than product demand. IEB is utilised when equipment capacity is less than product demand. Both measurements may replace the unitary cost variation, which is subject to manufacturing changes.

Manufacturing businesses may utilise the ISB and IEB metrics to conduct a systematic analysis of equipment performance and to appreciate the financial savings perspective in order to emphasise profitability in the short and long term.

The study introduces two novel financial equipment performance improvement indicators that distinguish the effects of manufacturing variations. Manufacturing variations cause cost advantages from operational improvements to be misrepresented. There is currently no approach for manufacturing organisations to calculate the financial advantages of enhancing equipment performance while isolating production irregularities.

This paper uses data from 349 employee involvement (EI) team projects to explore the relationships between process type, operational performance, employee involvement, and environmental performance. We investigate the stated goals and outcomes of EI team projects and relationships among these. For repetitive manufacturing processes in particular, we find strong relationships between the operational goals and outcomes of teams and the positive environmental impact outcome. To the extent that environmental performance results from operational systems, this paper suggests that the continuous improvement efforts of operations managers, including EI team projects, can be a key source of environmental improvements. Managers who understand this will take overt steps to leverage their operational improvement systems for environmental gains. From a theory development standpoint, questions are raised regarding the areas of potential synergy between operational and environmental improvement.

The purpose of this study is to contribute to the knowledge base on how performance measurement drives improvements in healthcare practice.

The study is based on a single in-depth case study. The critical incident technique (CIT) has been applied in order to identify significant occurrences of performance measurement in terms of events, incidents, processes, and issues identified by respondents from the case organization. These critical incidents have been analysed and interpreted using a theoretical framework suggesting that performance measurement may be applied for exploratory or regulatory purposes as well as ad hoc or continuously in healthcare practice.

The study suggests that performance measurement may be a versatile method for driving improvement in healthcare organizations. Six types of activities directly or indirectly drive improvement in the clinical department: continuous follow-up in formal arenas and meetings; improvement work; professional efforts; goal deployment; reporting based on external demands; and creating awareness in everyday clinical work. Healthcare organizations that strive to practice performance measurement as a driver for improvement need to find infrastructures in which it is being integrated into the daily life of organizational healthcare practice.

The study provides an original account of the prerequisites and actions for driving improvement through performance measurement in a healthcare setting. Since the operations management perspective in healthcare is significantly lacking, the study offers a unique perspective which may be the basis for both practice development and further scholarly inquiry and theory development.