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1 – 10 of over 117000L. Brennan, F. Finnan and M.E.J. O'Kelly
The requirements for two smaller companies in integratedmanufacturing are addressed, in particular, the area of manufacturingcontrol. The functional areas pertaining to…
Abstract
The requirements for two smaller companies in integrated manufacturing are addressed, in particular, the area of manufacturing control. The functional areas pertaining to manufacturing control in both companies are reviewed. On the basis of these reviews and management objectives, their requirements are specified. Recommendations are then made in respect of both companies on how to meet these requirements having regard to the nature of the manufacturing control systems available.
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Outlines some major features that should be incorporated into the designof cell‐based manufacturing systems. Presents these features as a seriesof observations which are based on…
Abstract
Outlines some major features that should be incorporated into the design of cell‐based manufacturing systems. Presents these features as a series of observations which are based on experiences gained during a three‐year period covering the implementation of such a system. Presents a set of rules that are commonly applied to the design, implementation and management of cell‐based manufacturing systems. Each rule is then examined in the context of actual experience and comments are given as to the major contribution made by each rule to the successful implementation of the manufacturing system. It is hoped that the information contained in this work will be of general interest to organizations moving towards similar implementations in that it presents one view of the problems that must be met, and some suggested solutions.
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Djordje Popovic and Carin Rösiö
The purpose of the study was to investigate the alignment between current product and manufacturing systems and how it could be achieved.
Abstract
Purpose
The purpose of the study was to investigate the alignment between current product and manufacturing systems and how it could be achieved.
Design/Methodology/Approach
Case study research method was chosen for the collection and analysis of empirical data. The data was of qualitative nature and was collected using research techniques such as observations through video recordings of processes, documents and open and semi-structured interviews.
Findings
The variation of outer side sub-element of the exterior wall element was found to not be aligned with its corresponding assembly. A hybrid assembly of outer side sub-elements characterised by flexibility and reconfigurability can be developed.
Research Limitations/Implications
The study is limited to the exterior wall element and corresponding manufacturing system.
Practical Implications
The presented approach was formulated with the aim to be used both for the analysis of existing products and manufacturing systems as well as for the design of new manufacturing systems.
Originality/Value
So far, this is the first study in the context of timber house building where the alignment between product and manufacturing systems was investigated by considering product variety and flexibility of manufacturing systems.
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Sara El-Breshy, Ahmad E. Elhabashy, Hadi Fors and Asmaa Harfoush
With the emergence of the different Industry 4.0 technologies and the interconnectedness between the physical and cyber components within manufacturing systems, the manufacturing…
Abstract
Purpose
With the emergence of the different Industry 4.0 technologies and the interconnectedness between the physical and cyber components within manufacturing systems, the manufacturing environment is becoming more susceptible to unexpected disruptions, and manufacturing systems need to be even more resilient than before. Hence, the purpose of this work is to explore how does incorporating Industry 4.0 into current manufacturing systems affects (positively or negatively) its resiliency.
Design/methodology/approach
A Systematic Literature Review (SLR) was performed with a focus on studying the manufacturing system’s resilience when applying Industry 4.0 technologies. The SLR is composed of four phases, which are (1) questions formulation, (2) determining an adequate search strategy, (3) publications filtering and (4) analysis and interpretation.
Findings
From the SLR results’ analysis, four potential research opportunities are proposed related to conducting additional research within the research themes in this field, considering less studied Industry 4.0 technologies or more than one technology, investigating the impact of some technologies on manufacturing system’s resilience, exploring more avenues to incorporate resiliency to preserve the state of the system, and suggesting metrics to quantify the resilience of manufacturing systems.
Originality/value
Although there are a number of publications discussing the resiliency of manufacturing systems, none fully investigated this topic when different Industry 4.0 technologies have been considered. In addition to determining the current research state-of-art in this relatively new research area and identifying potential future research opportunities, the main value of this work is in providing insights about this research area across three different perspectives/streams: (1) Industry 4.0 technologies, (2) resiliency and (3) manufacturing systems and their intersections.
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Shreyanshu Parhi, Shashank Kumar, Kanchan Joshi, Milind Akarte, Rakesh D. Raut and Balkrishna Eknath Narkhede
The advent of Internet of Things, cloud computing and advanced computing has endowed smart manufacturing environments with resilience, reconfigurability and intelligence…
Abstract
Purpose
The advent of Internet of Things, cloud computing and advanced computing has endowed smart manufacturing environments with resilience, reconfigurability and intelligence, resulting in the emergence of novel capabilities. These capabilities have significantly reshaped the manufacturing ecosystem, enabling it to effectively navigate uncertainties. The purpose of this study is to assess the operational transformations resulting from the implementation of smart manufacturing, which distinguish it from conventional systems.
Design/methodology/approach
A list of qualitative and quantitative smart manufacturing performance metrics (SMPMs) are initially suggested and categorized into strategic, tactical and operational levels. The SMPMs resemble the capabilities of smart manufacturing systems to manage disruptions due to uncertainties. Then, industry and academia experts validate the SMPMs through the utilization of the Delphi method, enabling the ranking of the SMPMs.
Findings
The proposition of the SMPMs serves as a metric to assess the digital transformation capabilities of smart manufacturing systems. In addition, the ranking of the proposed SMPMs shows a degree of relevance of the measures in smart manufacturing deployment and managing the disruptions caused due to the COVID-19 pandemic
Research limitations/implications
The findings benefit managers, consultants, policymakers and researchers in making appropriate decisions for deploying and operationalizing smart manufacturing systems by focusing on critical SMPMs.
Originality/value
The research provides a metric to assess the operational transformations during the deployment of smart manufacturing systems. Also, it states the role of the metric in managing the potential disruptions that can alter the performance of the business due to the COVID-19 pandemic.
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Till Becker, Mirja Meyer and Katja Windt
The topology of manufacturing systems is specified during the design phase and can afterwards only be adjusted at high expense. The purpose of this paper is to exploit the…
Abstract
Purpose
The topology of manufacturing systems is specified during the design phase and can afterwards only be adjusted at high expense. The purpose of this paper is to exploit the availability of large-scale data sets in manufacturing by applying measures from complex network theory and from classical performance evaluation to investigate the relation between structure and performance.
Design/methodology/approach
The paper develops a manufacturing system network model that is composed of measures from complex network theory. The analysis is based on six company data sets containing up to half a million operation records. The paper uses the network model as a straightforward approach to assess the manufacturing systems and to evaluate the impact of topological measures on fundamental performance figures, e.g., work in process or lateness.
Findings
The paper able to show that the manufacturing systems network model is a low-effort approach to quickly assess a manufacturing system. Additionally, the paper demonstrates that manufacturing networks display distinct, non-random network characteristics on a network-wide scale and that the relations between topological and performance key figures are non-linear.
Research limitations/implications
The sample consists of six data sets from Germany-based manufacturing companies. As the model is universal, it can easily be applied to further data sets from any industry.
Practical implications
The model can be utilized to quickly analyze large data sets without employing classical methods (e.g. simulation studies) which require time-intensive modeling and execution.
Originality/value
This paper explores for the first time the application of network figures in manufacturing systems in relation to performance figures by using real data from manufacturing companies.
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A.Z. Keller and A. Kazazi
Examines Just‐in‐Time (JIT) from its evolution as a Japaneseconcept through to a review of its philosophy and implementation. Citesseveral techniques of implementation. Includes a…
Abstract
Examines Just‐in‐Time (JIT) from its evolution as a Japanese concept through to a review of its philosophy and implementation. Cites several techniques of implementation. Includes a review of the early work of various researchers and practitioners. Concludes that JIT is a very effective manufacturing philosophy which is universal in nature encompassing all aspects of manufacturing. Suggests a few deficiencies in current literature.
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Saeed Zolfaghari and Erika V. Lopez Roa
To compare the performance of a new hybrid manufacturing system (HMS) with a conventional cellular manufacturing system (CMS). The hybrid system is a combination of the cellular…
Abstract
Purpose
To compare the performance of a new hybrid manufacturing system (HMS) with a conventional cellular manufacturing system (CMS). The hybrid system is a combination of the cellular manufacturing and job shop.
Design/methodology/approach
A hypothetical manufacturing facility with eight machines and 20 parts is used as a case. Simulation models are developed for two manufacturing systems. A multi‐factor comparison is carried out to test the performance of the systems under different scenarios.
Findings
It was found that group scheduling rules (GSR) and the manufacturing system design factors have significant impact on the performance of the system. In particular, the hybrid system shows its best performance when the MSSPT GSR is applied, whereas the cellular system is superior when DDSI is implemented. The results also demonstrate that, by adding non‐family parts to the production schedule of the HMS, significant benefits in the performance measures can be attained.
Research limitations/implications
The conclusion cannot be generalized, as the result is dependent upon the input data and the size of the problem.
Practical implications
The application may be limited to certain industry sectors. Further studies may be needed to identify the appropriate industry.
Originality/value
While the majority of the literature focuses on either a job shop or a pure CMS, this paper has a distinctive approach that allows the combined use of both systems. This could be a useful transitional approach from one system to the other.
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Details how to formulate improvement programmes withinmanufacturing, what is current practice within several companies, andhow appropriate current practice is. Presents a model of…
Abstract
Details how to formulate improvement programmes within manufacturing, what is current practice within several companies, and how appropriate current practice is. Presents a model of the manufacturing system together with a morphological representation of the system. Uses this model to assess the configuration of the manufacturing systems of ten companies (divided into three groups) and the efforts they put into improving the performance of the system. Compares these efforts, or action programmes, with the order winning criteria and the internal performance criteria in each group. It appears that the order winning criteria and the improvement programmes are often in line. However observations suggest that the action programmes are not the result of a conscious manufacturing strategy formulation and implementation so we can speak of a strategic neglect. Distinguishes some trends in managing manufacturing which result in an incremental improvement of the performance of manufacturing systems: more quality control process awareness; the decentralization of quality control and planning processes while trying integratively to design a consistent manufacturing system; and the creation of work cells throughout the plant.
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Arne Ingemansson, Torbjörn Ylipää and Gunnar S. Bolmsjö
Seeks to present a methodology for working with bottle‐neck reduction by using a combination of automatic data collection and discrete‐event simulation (DES) for a manufacturing…
Abstract
Purpose
Seeks to present a methodology for working with bottle‐neck reduction by using a combination of automatic data collection and discrete‐event simulation (DES) for a manufacturing system.
Design/methodology/approach
In the DES model, the bottle‐neck was identified by studying the simulation runs based on the collected automatic data from the different machines in the manufacturing system.
Findings
A case study showed an improvement of the availability in one machine from 58.5 to 60.2 percent. This single alteration with a minimum of investment resulted in a 3 percent increase of the overall output in the manufacturing system consisting of 11 numerically controlled machines and six other stations. A new simulation run was performed one year after the first study in order to see how the improvement work has progressed with the suggested method. The method resulted in an increase of 6 percent in overall output.
Originality/value
It could be assumed that machines in future manufacturing systems will provide automatic data. The data can then be used for DES models when identifying bottle‐necks in a manufacturing system.
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