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1 – 10 of 12
Article
Publication date: 29 June 2011

Joseph Engler and Andrew Kusiak

Agent-based modeling has proven effective in increasing the understanding of complex systems, including social-economical systems. Agoal of modeling complex systems is to…

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Abstract

Agent-based modeling has proven effective in increasing the understanding of complex systems, including social-economical systems. Agoal of modeling complex systems is to distill the system into simple agents with phenotypes guided by simple rules. The model then displays the emergent behavior of these agents interacting with each other and their environment. An agent-based model of innovation and its place in a global economy or ecosystem is presented. The model utilizes simple agents to represent innovating entities such as large corporations and small companies. The results produced by this model reveal the dynamics of innovation and its role in a global economy. The results indicate a large need for partnership in innovation for those entities working within rapidly changing domains. Domains, such as high technology, have constantly changing market expectations, which force innovating entities to seek external sources of assistance to meet these expectations in a timely enough fashion so as to incur benefit.

Details

International Journal of Innovation Science, vol. 3 no. 2
Type: Research Article
ISSN: 1757-2223

Article
Publication date: 1 September 1992

Rambabu Kodali

Decision making in Flexible Manufacturing Systems (FMS) isdifficult because of their high complexity level. The operational levelof FMS is concerned with the detailed…

Abstract

Decision making in Flexible Manufacturing Systems (FMS) is difficult because of their high complexity level. The operational level of FMS is concerned with the detailed decision making required for real‐time operation. This applies to various control problems such as selection of a transportation path to move parts between stations. Describes a prototype knowledge‐based system for selection of a transport path in real‐time control of FMS. The knowledge‐based system is evaluated with an empirical approach.

Details

International Journal of Operations & Production Management, vol. 12 no. 9
Type: Research Article
ISSN: 0144-3577

Keywords

Content available
Article
Publication date: 24 October 2008

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Abstract

Details

Journal of Manufacturing Technology Management, vol. 19 no. 8
Type: Research Article
ISSN: 1741-038X

Content available
Article
Publication date: 1 April 2002

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Abstract

Details

Kybernetes, vol. 31 no. 3/4
Type: Research Article
ISSN: 0368-492X

Article
Publication date: 1 April 1988

Many researchers in cybernetics remain sceptical about the practical applications of expert systems to industrial problems. Apart from the much publicised medical expert…

Abstract

Many researchers in cybernetics remain sceptical about the practical applications of expert systems to industrial problems. Apart from the much publicised medical expert systems, little information is available about the use of these systems in such fields as safety and reliability. It was therefore encouraging to see the report in ESRA (European Safety and Reliability Association) Newsletter Vol. 5, No. 1, 1988, pp. 14, of experience with expert systems to perform safety studies. Work carried out in 1985 by Électricité de France (EDF) showed that an important step forward towards automating reliability systems could be taken by using expert systems.

Details

Kybernetes, vol. 17 no. 4
Type: Research Article
ISSN: 0368-492X

Article
Publication date: 1 January 2012

Duc T. Pham and Andrew J. Thomas

With the current global downturn, companies must develop new and innovative approaches to ensure that economic sustainability is achieved. The purpose of this paper is to…

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Abstract

Purpose

With the current global downturn, companies must develop new and innovative approaches to ensure that economic sustainability is achieved. The purpose of this paper is to propose a Fit Manufacturing Framework (FMF), the adoption of which can help manufacturing companies to become economically sustainable and operate effectively in a global competitive market. This contribution extends the previous work by the authors and provides an evolution on the initial work through enhancing the development of Fit manufacture through developing a more robust framework and a more comprehensive functional testing of the framework.

Design/methodology/approach

The proposed FMF provides a new manufacturing management perspective and a new manufacturing management strategy for creating economically sustainable manufacturing organisations. It builds upon the principles of existing manufacturing paradigms, along with innovative management concepts, to set up the conditions necessary for sustainability. A pilot application of the framework in three SMEs shows positive initial results when assessed against four Measures of Performance.

Findings

Manufacturing strategies such as Lean and Agility allow companies to deliver bottom‐line savings in production terms, although their effectiveness depends upon the volume and demand profile of their products. The trend towards mass customisation requires companies to provide personalised products and services at mass production prices. This now places a further burden on companies and therefore a holistic manufacturing framework must be developed in order to ensure that the factory of the future is able to meet this new demand. This paper proposes a Fit manufacturing paradigm which integrates the manufacturing efficiencies achieved through Lean and Agility with the need to break into new markets through effective marketing and product innovation strategies to achieve long term economic sustainability. The small‐scale application of the approach in a case company shows the initial results to be positive when measured against key MOPs developed within this paper.

Originality/value

The development of a Fit paradigm aimed at tackling directly the issues of economic sustainability is proposed and is considered by the authors as one of a kind. Fit will also provide a framework for the implementation of sustainable manufacturing operations within organisations.

Details

Journal of Manufacturing Technology Management, vol. 23 no. 1
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 27 April 2012

Andrew Thomas, Mark Francis, Elwyn John and Alan Davies

The purpose of this paper is to identify the qualitative characteristics that can make manufacturing small to medium‐sized enterprises (SMEs) more robust and hence become…

2362

Abstract

Purpose

The purpose of this paper is to identify the qualitative characteristics that can make manufacturing small to medium‐sized enterprises (SMEs) more robust and hence become economically sustainable in this globally competitive environment. The characteristics identified will form the foundations for defining a new manufacturing management perspective to both academics and industrialists.

Design/methodology/approach

Through a comprehensive case study approach the authors initially analyse the developmental cycle of the subject company and then identify the key characteristics which enabled the company to become economically sustainable and survive in the changing environment in which it operates. The paper opens with a brief academic analysis of sustainability literature available, before developing the case study.

Findings

Traditional business improvement strategies, such as Lean and Agility, which many companies initially follow in an attempt to become more robust and economically stable, allow companies to deliver bottom‐line savings in production terms although their effectiveness depends upon the volume and demand profile of their products. Through the case study outlined in this paper however, a combined approach towards the application of Lean is outlined as a primary means of reducing operating costs alongside the simultaneous implementation of product innovation strategies which allows the company to break into new markets as a means to achieving long‐term economic sustainability and making it more robust to market changes. The development of a business within a business is described as an effective mechanism towards achieving business sustainability.

Research limitations/implications

The paper proposes a novel approach to achieving economic sustainability within a business and can be of benefit to the wider industrial and academic community. The development of work around a single company has its obvious limitations and it is crucial that further work, with a range of companies in the area of business sustainability, is key to developing a comprehensive set of sustainability characteristics.

Practical implications

The paper proposes a set of qualitative characteristics for the development of an economically sustainable manufacturing company. The development of a comprehensive case study with a subject company also directs and enables other companies of similar size and style to apply a similar approach and to achieve economic sustainability in an efficient and effective manner, through reducing production costs, minimising company failure and increasing business efficiency and effectiveness.

Originality/value

The development of a set of sustainability characteristics aimed at tackling directly the issues of economic sustainability is proposed and is considered by the authors as one of a kind. The case study approach also provides for a framework towards the implementation of sustainable manufacturing operations within SMEs.

Details

Journal of Manufacturing Technology Management, vol. 23 no. 4
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 26 March 2021

Mohammadreza Akbari and Thu Nguyen Anh Do

This paper presents a review of the existing state-of-the-art literature on machine learning (ML) in logistics and supply chain management (LSCM) by analyzing the current…

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Abstract

Purpose

This paper presents a review of the existing state-of-the-art literature on machine learning (ML) in logistics and supply chain management (LSCM) by analyzing the current literature, contemporary concepts, data and gaps and suggesting potential topics for future research.

Design/methodology/approach

A systematic/structured literature review in the subject discipline and a bibliometric analysis were organized. Information regarding industry involvement, geographic location, research design and methods, data analysis techniques, university, affiliation, publishers, authors, year of publications is documented. A wide collection of eight databases from 1994 to 2019 were explored using the keywords “Machine Learning” and “Logistics“, “Transportation” and “Supply Chain” in the title and/or abstract. A total of 110 articles were found, and information on a chain of variables was gathered.

Findings

Over the last few decades, the application of emerging technologies has attracted significant interest all around the world. Analysis of the collected data shows that only nine literature reviews have been published in this area. Further, key findings show that 53.8 per cent of publications were closely clustered on transportation and manufacturing industries and 54.7 per cent were centred on mathematical models and simulations. Neural network is applied in 22 papers as their exclusive algorithms. Finally, the main focuses of the current literature are on prediction and optimization, where detection is contributed by only seven articles.

Research limitations/implications

This review is limited to examining only academic sources available from Scopus, Elsevier, Web of Science, Emerald, JSTOR, SAGE, Springer, Taylor and Francis and Wiley which contain the words “Machine Learning” and “Logistics“, “Transportation” and “Supply Chain” in the title and/or abstract.

Originality/value

This paper provides a systematic insight into research trends in ML in both logistics and the supply chain.

Details

Benchmarking: An International Journal, vol. 28 no. 10
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 21 April 2022

Wei Zong, Songtao Lin, Yuxing Gao and Yanying Yan

This paper aims to provide a process-driven scientific data quality (DQ) monitoring framework by information product map (IP-Map) in identifying the root causes of poor DQ…

Abstract

Purpose

This paper aims to provide a process-driven scientific data quality (DQ) monitoring framework by information product map (IP-Map) in identifying the root causes of poor DQ issues so as to assure the quality of scientific data.

Design/methodology/approach

First, a general scientific data life cycle model is constructed based on eight classical models and 37 researchers’ experience. Then, the IP-Map is constructed to visualize the scientific data manufacturing process. After that, the potential deficiencies that may arise and DQ issues are examined from the aspects of process and data stakeholders. Finally, the corresponding strategies for improving scientific DQ are put forward.

Findings

The scientific data manufacturing process and data stakeholders’ responsibilities could be clearly visualized by the IP-Map. The proposed process-driven framework is helpful in clarifying the root causes of DQ vulnerabilities in scientific data.

Research limitations/implications

As for the implications for researchers, the process-driven framework proposed in this paper provides a better understanding of scientific DQ issues during implementing a research project as well as providing a useful method to analyse those DQ issues based on IP-Map approach from the aspects of process and data stakeholders.

Practical implications

The process-driven framework is beneficial for the research institutions, scientific data management centres and researchers to better manage the scientific data manufacturing process and solve the scientific DQ issues.

Originality/value

This research proposes a general scientific data life cycle model and further provides a process-driven scientific DQ monitoring framework for identifying the root causes of poor data issues from the aspects of process and stakeholders which have been ignored by existing information technology-driven solutions. This study is likely to lead to an improved approach to assuring the scientific DQ and is applicable in different research fields.

Details

The Electronic Library , vol. 40 no. 3
Type: Research Article
ISSN: 0264-0473

Keywords

Article
Publication date: 10 August 2012

Idriss El‐Thalji and Jayantha P. Liyanage

The purpose of this paper is to review the operation and maintenance practices within wind power applications and to clarify practical needs as gaps between researchers…

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Abstract

Purpose

The purpose of this paper is to review the operation and maintenance practices within wind power applications and to clarify practical needs as gaps between researchers and practitioners.

Design/methodology/approach

The paper collects, categorizes, and analyzes the published literature of both researchers and practitioners systematically.

Findings

The paper defines significant issues in operation and maintenance of wind energy related to: site and seasonal asset disturbances; stakeholders’ requirements trade‐off; dependability and asset deterioration challenges; diagnostic, prognostic and information and communication technologies (ICTs) applications; and maintenance optimization models. Within each category, the gaps and further research needs have been extracted with respect to both an academic and industrial perspective.

Practical implications

The use of wind energy is growing rapidly and the associated practices related to maintenance and asset management are still lacking. Therefore, the literature review of operation and maintenance is a necessity to uncover the holistic issues and interrelationships of what has so far been published as detailed and fragmented topics to specific issues. Wind energy assets represent modern renewable energy assets which are affected by environmental disturbances, rapid technological development, rapid scaling‐up processes, the stochastic and dynamic nature of operations and degradation, the integrity and interoperability of system‐to‐support.

Originality/value

The paper provides a comprehensive review of research contributions and industrial development efforts. That will be useful to the life cycle stakeholders in both academia and industry in understanding the maintenance problem and solution space within the wind energy context.

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