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For any company, measuring its performance with respect to customers’ expectations is crucial in selecting suitable strategies and technologies that it will employ in producing and marketing the right product mix. This certainly holds also for the company studied here, GEC‐Marconi Aerospace (GECMAe), a manufacturer of pumping systems, pneumatic systems, electro‐mechanical actuators and sub‐systems, and fuel handling and metering equipment for ground applications and for bulk fuel distribution. The paper is based on an actual case study conducted in GECMAe, and it provides information on the “gap” between the company’s marketing and production functions. Gap analysis, proposed by Slack, is the method used to study the gap between these functions. A list of suggestions is provided to help the company in its efforts to reduce the gap, and improve its performance and overall competitiveness. The study also provides the reader with an insight into the company.

The concept of agile manufacturing is becoming critically important to manufacturing industry due to rapid industrialization, fluctuating customer demand, and turbulent business environment. The aim of this study is to prioritize the attributes for successful implementation of agile manufacturing using a combined analytical hierarchy process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) approach in Indian manufacturing industry.

The current study identifies eight agile manufacturing attributes through literature review and discussion with subject experts. The experts from different manufacturing industry have been asked to provide data for pairwise comparison of attributes. Afterward, an integrated AHP and TOPSIS approach is employed. The AHP is used to drive the priority weights of the attributes, and TOPSIS is used for prioritizing the attributes for successful implementation of agile manufacturing.

“Information technology,” “human resource management-related issues,” “customer-related issues,” “leadership support,” and “organizationalc related-issues” have been ranked as the top five significant and contributing attributes, which can pave the path for top management to concentrate on the critical areas and allocate significant resources to ensure successful implementation of agile manufacturing.

This research integrates AHP and TOPSIS to prioritize the attributes for successful implementation of agile manufacturing, which are further validated by comparing the ranks obtained through respective approach and sensitivity analysis.

The objective of this paper is to propose a model for assessing the quality of service at various interfaces of supply chain using third party logistics.

Based on a rich combination of extensive literature review and insights gained through exploratory interviews, gap analysis methodology is used in developing the model. This was followed by an in‐depth analysis of gaps at various interfaces in supply chain. Further, both qualitative and quantitative techniques are suggested for data collection and analysis.

The key gaps in both the directions (forward and reverse) that are likely to affect the service quality at different levels are extensively defined. These gaps may exist between a 3PL service provider and the manufacturer, the marketing function and the 3PL service provider, etc. The paper also proposes frameworks such as data envelopment analysis for measurement of these gaps. A set of possible performance indicators is also proposed at various interfaces in supply chain.

This proposed model is an attempt to explore the relatively less explored area. It is expected that this research will further motivate researchers to work in this area. This supply chain service quality tool will be beneficial to practising managers in identification of opportunities for improvements in service quality.

This paper explores some critical issues in the less explored area and offers practical help to researchers and practitioners in providing a direction for supply chain service quality improvement.

The purpose of this paper is to develop a set of key performance indicators (KPIs) for agile manufacturing (AM) and to propose a methodology for its performance evaluation.

The proposed methodology was developed using fuzzy analytic hierarchy process (FAHP) and performance value analysis (PVA) to evaluate and analyze the AM performance. The FAHP is applied to determine the importance of KPIs, and PVA is used to evaluate AM performance.

The proposed methodology is applied to an Indian auto component manufacturer, and it is observed that there is an improvement of performance along the timeline.

The proposed approach is generic in nature and can be applied to different agile business environments for performance evaluation.

This study provides insights into the AM performance evaluation. The managers can establish the impact of each significant area (SA) on AM and each KPI on its corresponding SA by capturing their manufacturing environments.

Although many issues related to AM have been widely researched, only a few studies have been carried out to quantify, analyze and evaluate the AM performance in the Indian manufacturing environment. The proposed model has the ability to capture the performance of AM along the KPIs to draw fruitful conclusions.

The purpose of this paper is to identify and analyze the interactions among different enablers of agile manufacturing system (AMS). The existing enablers available in the past literature are scattered and not able to meet specific requirements of the customers. So, it becomes a necessity to encapsulate these enablers in appropriate proportions to enable traditional organizations to AMS. To fill this gap total interpretive structural modeling (TISM) and MICMAC analysis-based framework model have been developed to understand the mutual interactions between among the enablers.

Identification of enablers followed by application of TISM, which is an innovative version of ISM and MICMAC analysis, is used to study and analyze the mutual interactions between identified enablers.

The result reveals that top management support, organizational structure and information technology integration have strong driving power and weak dependence power and are at the lowest level in the TISM model hierarchy, while the outcome enablers of AMS have low-driving power but have high-dependence power.

This model is developed on the basis of inputs from few experts and may not reflect the opinion of whole industry community.

Top management must stress on enablers having strong driving power for efficient implementation of AMS. Managers in the area of manufacturing may drive useful insights from the empirical study presented in this paper. Managers should plan an effective strategy for proper implementation of AMS which makes organization more agile, productive, competitive and profitable.

TISM-based framework structural model has been proposed for industry or organization which is a new effort for implementation of AMS.

Faced with increasing global competition and growing customer expectations, manufacturers looking for significant performance improvements often look to one of the two choices: implementing an enterprise resource planning (ERP) system, or applying the tools and techniques associated with lean production. In fact, many companies are today applying both approaches in an attempt to realise competitive advantage in the global marketplace. However, there seems to be an ongoing debate within the academic literature as to whether lean and ERP are complimentary or contradictory technologies. This paper aims to present a thorough and critical review of literature with the objective of bringing out pertinent factors and useful insights into the role and implications of ERP systems in lean production and to develop a research framework that can be used by researchers and practitioners for studying the value of integrating ERP with lean.

The research methodology employed is literature survey. Literature has been collected primarily through journals within the area of operations management. For rigorousness, textbooks, conference papers, white papers and dissertations have been excluded from the subsequent analysis. Though older literature has been considered to define the scope of this investigation, only literature published after the year 2000 has been considered in the analysis in order to be current in the research field.

The paper proposes a classification scheme for the current research on ERP and lean production, which identifies six major areas in the extant literature. The literature survey is used to find existing research gaps and provides a research framework for future research directions regarding applications and implications of ERP systems in lean production.

This paper fulfils an identified need to study the interactions between ERP systems and lean production.

The purpose of this paper is to present a fuzzy Quality Function Deployment (QFD)-based approach for identifying and prioritizing organizational agility (OA) capabilities and enablers based on its drivers.

First, several models for agility drivers (ADs), agility capabilities (ACs) and agility enablers (AEs) are reviewed and ranked, and the best for each one is selected. Second, ADs’ indexes are weighted by using experts’ comments and fuzzy numbers. Finally, by using a proposed fuzzy QFD approach, ACs and AEs are prioritized. In addition, the proposed approach has been examined within a real case study, Golnoor Company in Esfahan, Iran.

Results reveal that among ADs’ criteria, “Changes in competition criteria” have the highest weights for the case study. In addition, “Leadership in the use of current technology” and “Knowledge management” have been ranked as the first place among ACs and AEs, respectively.

After conducting a comprehensive literature review, the authors did not find any particular framework, which consider AEs and ACs based on ADs simultaneously. Accordingly, the authors’ main novelty is proposing a fuzzy QFD to prioritize the OA capabilities and enablers based on its drivers.

Increasing productivity gaps and declining manufacturing bases create complex challenges for mature small to medium enterprises (SMEs). One solution advocated by academia is to reposition along the value chain – moving to a position of greater value. The purpose of this paper is to examine strategies used by firms to reposition through creating a new product development (NPD) capability. In doing so, the paper seeks to resolve gaps in extant literature on NPD in mature SMEs.

An exploratory approach is taken, analysing in‐depth case studies of three mature UK manufacturing SMEs.

Four strategic approaches to enable the creation of a NPD capability (strategic alliances, licensing key technologies and ideas, outsourcing and deploying an internal development process) are found. Each may facilitate an SME to reposition but the findings highlight that these strategies are not mutually exclusive as different combinations were employed to accelerate and leverage change.

Limited number of case studies constrains wider understanding despite providing richness. The findings highlight four different strategies for repositioning but there may be other routes.

Deeper understanding of how to climb the value chain, providing valuable lessons for mature SMEs facing a need to reposition to generate new growth opportunities.

The paper provides an understanding of how mature manufacturers utilise different strategies to overcome resource constraints and generate a NPD capability to assist in repositioning. This resolves weaknesses in current literature that so far have not adequately examined the process of shaping a NPD capability and the strategies used to reposition.

The recruitment of undergraduate students within English universities is of vital importance to both the academic success and the financial stability of the organisation. Despite the primacy of the task, there has been a dearth of research looking at related performance and how to ensure that the process is optimised. The purpose of this study was to investigate the degree of variation both within a university and between different universities. The reliance that individual programmes and/or universities place on the Clearing process is key; given its uncertainty, resource demands and timing shortly before students take up their places.

The Nomogramma di Gandy diagrammatical approach utilises readily available data to analyse universities’ performance in recruiting students to different programmes, and the degree to which they each rely of the Clearing process. Inter-university performance was investigated on a whole-student intake basis for a sample of English universities, representative of type and region.

The study found that there were disparate patterns for the many programmes within the pilot university and also disparate patterns between different types of universities across England. Accordingly, universities should internally benchmark their programmes to inform both strategic and tactical decision-making. Similarly, Universities and Colleges Admissions Service benchmarking inter-university patterns could inform the overall sector.

The approach and findings provide lessons for analysing student recruitment which could be critical to universities’ academic and financial health, in an increasingly competitive environment.

Historically, the Further Education (FE) sector has always occupied the hinterland between the policy-heavy landscape that characterises the compulsory education sector and the fiercely independent Higher Education sector. Originally formed to give those who had not fully benefitted from their school education the opportunity to learn new skills and to be given a ‘second chance’, it gradually evolved into something that encompassed a far wider purpose of widening participation in education and also the promotion of social mobility. Because of this, the educational imperative has always featured strongly within the sector.

Recently this has been challenged by a shift to a more market-based approach that stresses neoliberalism, competition between providers and an economic imperative which can conflict with the original aims of the sector.

The sector has also increasingly been used to deliver government priorities, and given the quixotic nature of much of education policy, this has meant that the sector is required to be agile and responsive to a multitude of challenges. The colleges used as the two case studies in this chapter show that while it is important to ensure that the external metrics are met, if funding is available, then it is still possible to balance the educational imperative with the economic imperative with clear leadership and a strict focus on the college’s vision for their role within the sector. This means that the widening participation agenda can still be met, even if numerous barriers are put in the way.