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The purpose of this paper is to develop comprehensive risk management tool, Intelligent Risk Mapping and Assessment System (IRMAS™) with a contingency for multi‐site, multi‐partner concurrent engineering projects with the aim of achieving above‐mentioned paradigms. Its unique knowledge warehouse enables the use of organisational knowledge, lessons learnt, captured as well as best practices to minimise risks in project management.

IRMAS is designed to identify, prioritise, analyse and assist project managers to manage perceived sources of concurrent engineering risks. Several knowledge elicitation techniques were used to compile the knowledge used for the intelligent system developed. The core of the research is the reasoning methodology that not only supports the decision‐making process of the user, but also aids the knowledge retrieving, storing, sharing and updating process of manufacturing organisations.

A total of 589 risk items were identified for different project types, as well as information on 4,372 risk items and 136 lessons learnt were gathered. IRMAS is a proactive tool supporting project management activities. It is designed as a web‐based portal compiled in Java facilitating effective and a common communication platform between project partners.

Identification of risks during the complete product design, development and delivery process in a concurrent engineering environment is challenging. It covers the “product value stream” including partners, suppliers, research and development, design and manufacturing, marketing, purchasing, service and support personnel and customers. Within the context of concurrent engineering, the design style must be “Design WITH” approach where collaborative negotiation requires communication, consideration and collaboration. The full validation of IRMAS™ is successfully carried out in two large‐scale new product development projects. It has already been decided to be deployed by a large international aerospace company and is successfully commercialized.

The originality of the paper lies in its uniqueness in these areas: IRMAS provides a systematic engineering approach to risk management of concurrent product and process development based on risk management standards and Project Management Body of Knowledge, to leverage of success factors in manufacturing; concurrencies and relationships between several activities throughout product's life cycle are captured and mapped; the inheritance of risk between several phases are modelled and quantified; the wealth of knowledge stored in the knowledge repository and IRMAS's capability to reuse them for later elicitation in the system's knowledge base; and user‐interactive, unique dynamic risk management software package which will be available in the commercial market.

Risk identification is the first and crucial step in supply chain risk management process. Due to the nature and complexity of supply chain networks of manufacturing organizations, risk identification nowadays has become more challenging. The purpose of this paper to present the development of a tool, called Supply Chain Risk Identification System (SCRIS), for assisting decision makers in identifying existing risks, and the interrelationship of risks in supply chain (SC) network, by considering different process strategies, namely make to stock (MTS), make to order (MTO) and engineering to order (ETO).

SCRIS is developed using a knowledge‐based system (KBS) approach. The knowledge is represented in ruled based form and written using CLIPS expert system language program. To ensure its feasibility, SCRIS is validated using real case studies in several manufacturing industries.

Feedback gathered from organizations involved in validations processes imply the benefit of using SCRIS as a decision support tool in identifying SC risks. SCRIS also has additional positive role in supply chain risk management (SCRM) by promoting communication and collaboration between SC partners.

SCRIS provides an extensive tool using KBS approach which covers hundreds of SC risk sub‐factors, risk factors, and risk events, as well as mapping the interactions and considering different process strategies which have not been developed to date. A novel SC risks taxonomy is also proposed which encompasses broader issues in the SC network.

The purpose of this paper is to describe a method to help companies identify the resources needed to provide manufacturing flexibility and meet the demands of their potential consumers while complying with company strategy.

The literature related to flexibility is reviewed and a classification based on the following four levels is proposed: abilities, dimensions, elements and resources that provide flexibility. Based on this taxonomy and using the principles of quality function deployment, a method is proposed that shows the correlation between these four levels, starting with customer demand and company strategy. To show its applicability, the method was used in a manufacturing process in an automobile manufacturing company that produces nine models of vehicles.

The findings of the study include a taxonomy geared towards manufacturing flexibility and a method that enables the resources that provide flexibility in an industrial production line to be identified in order of importance. After being tested in an automobile manufacturing company, the method was found to be an effective aid to the deployment of flexibility and to help highlight the main resources that needed to be introduced in the manufacturing process in order to ensure the flexibility required by the market in keeping with the company brand.

The proposed method is based on the structure described by Olhagen and West. However, a taxonomy involving the deployment of other levels of flexibility identified by Kara and Kayis is added, making the method more complete as well as ensuring that it addresses strategic company issues.

The “most economically advantageous tender,” as defined in the EUʼs public procurement directives, allows public purchasers to combine environmental aspects, price and other award criteria in decision making. The directives do not, however, determine how the environmental criteria should be built. Indeed, there could be different means to assess the “greenness” of competing tenders, and these various measurements of environmental impacts may lead to different assessments of the most economically advantageous tender. In this article, the determination of environmental award criteria is examined through a case study on a purchase of a goods transportation service, where the most economically advantageous tender is calculated by life cycle assessment and the environmental cost calculation method suggested by the EU, and compared to the results gained by the purchaserʼs equation. Also the contribution of the weighting for the “green” purchasing decision is discussed.

This paper seeks to present the formulation of relationships involving different manufacturing flexibility elements related to the total chain of acquisition, processing and distribution in order to assess the level of flexibility practiced by Australian manufacturing industries.

A range of published works and a detailed data gathered from a wide range of Australian manufacturing industry through questionnaires are evaluated to determine how customer‐supplier relationships could have an impact on manufacturing flexibility and enhance the total chain of manufacturing. The main analysis tool used is logistic regression. The knowledge and analysis obtained are linked to evaluate the level of each type of flexibility as well as the impact of customer‐supplier flexibility on the total chain of manufacturing. Finally, a performance assessment framework is developed to connect the interlinking factors and contribution regarding customer, supplier, and manufacturing flexibility of Australian industries.

The relationships and correlation of data displayed would enhance the available body of knowledge on the total chain of manufacturing. Consequently, the relationships found in this paper can be used to support the overall flexibility assessment of manufacturing industries. In the paper, the current flexibility practices of Australian industries are assessed and a framework is suggested based on several elements taken into consideration. As the different elements under flexibility have suggested, the manufacturing flexibility of Australian industries as affected by customer‐supplier participation is found as medium. Suggestions for pursuing improvements are recommended.

The main outcome of the research is to reveal that customer‐supplier relationship could significantly affect the flexibility level within the industries under different functional areas. As a result, to achieve the “real” flexibility of the system, flexibility has to be built into the total chain of acquisition‐processing‐distribution stages, not just focusing on the manufacturing aspects only. The flexibility framework developed in this paper would better assess the impact of customer‐supplier flexibility on the total chain of manufacturing and give more insights for analyzing the flexibility level of customers, suppliers, and manufacturers with data gathered across the globe.

The originality of the paper lies in its detailed analysis of the effect of supplier and customer contribution on manufacturing problems as well as developing a flexibility assessment framework to discuss its impact on the total chain of manufacturing. Its value to both body of knowledge and practitioners are emphasized in the paper.

The purpose of this paper is to explore different drivers and volume flexibility strategies employed in manufacturing firms. It also examines contingent factors, which determine volume flexibility requirement in manufacturing firms.

Using a multi-case study approach, the study examines and analyses drivers, strategies and contingent factors that affect volume flexibility in four Indian manufacturing plants belonging to automobiles, auto ancillary, fashion apparel and electrical industry.

The empirical analysis suggests various drivers of volume flexibility and different strategies employed by firms to enhance flexibility. The study also illustrates various contingent factors that determine the need of volume flexibility in firms.

The sample of the study is majorly confined to the northern region of India. Methodologically, the analysis is solely based on the qualitative data.

The study suggests practitioners to consider a range of contingent factors, while evaluating the need of volume flexibility in manufacturing plants. Rather than relying on a single strategy, a mix of strategies should be used to develop volume flexibility in firms.

The identification of a range of strategies employed by volume flexible firms as well as contingent factors that need to be evaluated before employing volume flexibility are the major contributions of this study.

This paper aims to provide a review of techniques that support risk management in product development projects using the concurrent engineering (CE) philosophy.

The Australia/New Zealand risk management standard AS/NZS 4360:1999 proposes a generic framework for risk management. This standard was adapted for product development projects in the CE environment. In this paper, existing techniques were reviewed for their applicability to processes in risk management; namely, techniques for establishing context, risk identification, risk assessment and treatment.

Risk management is an activity within project management that is gaining importance due to current business environment with a global focus and competition. The techniques reviewed in this paper are used on an ad hoc basis currently. A more risk focused approach is likely to result in an integration of several of these techniques, resulting in an increased effectiveness of project management.

The techniques reviewed in this paper can be used for the development of risk management tools for engineering and product development projects.

This paper provides a gist of techniques categorized in the form that they are applicable for implementation of risk management functions in product development projects using CE philosophy.

The purpose of this study is to present a systematic review of all the enablers of manufacturing flexibility and to provide a path for future research in the area of manufacturing flexibility.

Research papers were collected from electronic databases to search academic journals dealing with manufacturing flexibility, environmental uncertainty, business strategy, organizational attributes, technology, innovation and product types. The study consists of a systematic review of 101 research papers and assessment of these papers in terms of their role in enabling flexibility.

It is seen from the literature review that most of the research in the field of flexibility was done in developed countries, and further empirical research with respect to manufacturing flexibility and firm performance is required to be done in developing countries. It is also seen that financial performance has often been used in many of the studies as a proxy to measure firm performance and one can explore alternative metrics for firm performance. The review reveals that an integrated framework to assess manufacturing flexibility and firm performance is largely missing in literature. This review highlights some research gaps for future research in the area of manufacturing flexibility.

The literature review was done using search terms restricted to manufacturing flexibility, environmental uncertainty, business strategy, organizational attributes, technology, innovation and product types. There may be various unexploited areas for future research in terms of indirect influence of several different variables. The proposed framework is only conceptual in nature and thus requires rigorous empirical testing to develop a comprehensive list of enablers and their respective criteria and attributes.

The study synthesizes existing literature for assessing manufacturing flexibility in an organization and addresses gaps in the research area of manufacturing flexibility. It provides a comprehensive review of all relevant studies from 1992 to January 2013 for the use of both academicians and practitioners.

Remarkable improvements in results achieved during the past decade by some US manufacturing companies show the crucial role played in these companies by quality teams which we can call improvement support systems (ISS). The team infrastructure is modelled here in terms of a three‐stage sequential process with simple measures to evaluate the infrastructure elements. The approach is applied to study six Australian companies on their way to becoming continuous improvement systems. The findings expose different levels and patterns of team infrastructure. The enterprises differ in the context of their training models, the extent of autonomy of the teams as well as in the scope of the employees′ participation on teams. Considers the challenge for management finding the right extent to which monitoring and control should be applied to improvement teams as well as avoiding process stagnation. Suggests that the latter can be realized by extending active participation of employees, systematic generation of new improvement topics (eventually through splitting and continuation of old ones) as well as by continuous upgrading of training. A steady output flow of successfully finished projects can be considered evidence of an active (as opposed to a stagnant) improvement system.