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1 – 10 of over 101000
Article
Publication date: 1 July 1990

L. 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.

Details

International Journal of Operations & Production Management, vol. 10 no. 7
Type: Research Article
ISSN: 0144-3577

Keywords

Article
Publication date: 1 February 1994

Paul Prickett

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…

975

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.

Details

International Journal of Operations & Production Management, vol. 14 no. 2
Type: Research Article
ISSN: 0144-3577

Keywords

Article
Publication date: 8 April 2014

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…

1298

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.

Details

International Journal of Productivity and Performance Management, vol. 63 no. 3
Type: Research Article
ISSN: 1741-0401

Keywords

Article
Publication date: 1 July 1993

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…

2605

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.

Details

Industrial Management & Data Systems, vol. 93 no. 7
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 1 October 2006

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…

1206

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.

Details

Journal of Manufacturing Technology Management, vol. 17 no. 7
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 1 July 1992

D.J. Draaijer

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.

Details

International Journal of Operations & Production Management, vol. 12 no. 7/8
Type: Research Article
ISSN: 0144-3577

Keywords

Article
Publication date: 1 September 2005

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…

2298

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.

Details

Journal of Manufacturing Technology Management, vol. 16 no. 6
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 19 November 2021

Zhiting Song and Jianhua Zhu

Smart manufacturing is the prime gripper for the transformation and upgrading of the manufacturing industry. Smart manufacturing systems (SMSs) largely determine how smart…

Abstract

Purpose

Smart manufacturing is the prime gripper for the transformation and upgrading of the manufacturing industry. Smart manufacturing systems (SMSs) largely determine how smart manufacturing evolves in technical and organizational dimensions and how it realizes values in products, production or services. SMSs are growing rapidly and receiving tons of attention from academic research and industrial practice. However, the development of SMSs is still in its fancy, and many issues wait to be identified and solved, such as single point failures, low transparency and ineffective resource sharing. Blockchain, an emerging technology deriving from Bitcoin, is competent to aid SMSs to conquer troubles due to its decentralization, traceability, trackability, disintermediation, auditability and etc. The purpose of this paper is to investigate the blockchain applications in SMSs, seek out the challenges faced by blockchain-enabled SMSs (BSMSs) and provide referable research directions and ideas.

Design/methodology/approach

A comprehensive literature review as a survey is conducted in this paper. The survey starts by introducing blockchain concepts, followed by the descriptions of a literature review method and the blockchain applications throughout the product life cycle in SMSs. Then, the key issues and challenges confronting BSMSs are discussed and some possible research directions are also proposed. It finally presents qualitative and quantitative descriptions of BSMSs, along with some conclusions and implications.

Findings

The findings of this paper present a deep understanding about the current status and challenges of blockchain adoption in SMSs. Furthermore, this paper provides a brand new thinking for future research.

Originality/value

This paper minutely analyzes the impacts that blockchain exerts on SMSs in view of the product life cycle, and proposes using the complexity science thinking to deal with BSMSs qualitatively and quantitatively, including tackling the current major problems BSMSs face. This research can serve as a foundation for future theoretical studies and enterprise practice.

Details

Chinese Management Studies, vol. 16 no. 5
Type: Research Article
ISSN: 1750-614X

Keywords

Article
Publication date: 5 September 2008

Varinder Singh and V.P. Agrawal

The purpose of this paper is to attempt to integrate manufacturing system analysis to obtain system‐wide optimized solutions and to increase the level of comprehensiveness of the…

1441

Abstract

Purpose

The purpose of this paper is to attempt to integrate manufacturing system analysis to obtain system‐wide optimized solutions and to increase the level of comprehensiveness of the manufacturing system modelling and to develop method of characterization of manufacturing systems based on its structure.

Design/methodology/approach

Elements constituting the manufacturing plant and the interactions between them have been identified through a literature survey and have been represented by graph‐based model. The matrix models and the variable permanent function models are developed for carrying out decomposition, characterization and the total analysis.

Findings

Structural patterns and combination sets of subsystems interacting in various ways have been recognized as capabilities of manufacturing system in different performance dimensions. The permanent function of the manufacturing system matrix has been proposed as a systematic technique for structural analysis of manufacturing system. Also, the terms of permanent multinomial characterize the manufacturing systems uniquely and are highly useful for computational storage, retrieval, communication as well as analysis of the structural information of manufacturing system.

Research limitations/implications

The structure‐based characterization technique developed has the potential of aiding the ongoing research activities in the field of benchmarking, and business process reengineering. The graph theory‐based methodology will serve as a framework to develop composite performance measures building on the performance measures of the individual elements of the manufacturing system graph in various dimensions.

Practical implications

Through the use of proposed methodology, a manufacturing manager will be able to make better informed decisions towards organizational efforts of improving the productivity and speed. For aiding several decisions, different “what‐if” scenarios may be generated with several structural modifications.

Originality/value

This graph theory‐based methodology is a novel mechanism to seamlessly integrate manufacturing system giving way to system wide optimization. The paper is an attempt to address the need for comprehensive and integrated analysis of the manufacturing system.

Details

Journal of Manufacturing Technology Management, vol. 19 no. 7
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 8 May 2017

Yaqiong Lv and Danping Lin

With the new generation Industry 4.0 coming, as well as globalization and outsourcing, products are fabricated by different parties in the distributed manufacturing network and…

1468

Abstract

Purpose

With the new generation Industry 4.0 coming, as well as globalization and outsourcing, products are fabricated by different parties in the distributed manufacturing network and enterprises face the challenge of consistent planning of semi-finished product in each manufacturing process in different geographical locations. The purpose of this paper is to propose a real-time operation planning system in the distributed manufacturing network to intelligently control/plan the manufacturing networks.

Design/methodology/approach

The feature of the proposed system is to model and simulate large distributed manufacturing networks to streamline the mechanical and production engineering processes with radio frequency identification (RFID) technology, which can keep track of process variants. To deal with concurrency and synchronization, the hierarchical timed colored Petri net (HTCPN) formalism for modeling is selected in this study. This method can help to model graphically and test the discrete events of concurrent operations. Fuzzy inference system can help for knowledge representation, so as to provide knowledge-based decision assistance in distributed manufacturing environment.

Findings

In this proposed system, there are two main sub-systems: one is the real-time modeling system, and the other one is intelligent operation planning system. These two systems are not parallel in the whole systems while the intelligent operation planning system should be embedded in any stage of the real-time modeling system as needed. That means real time modeling system provides the holistic structure of the studied distributed manufacturing system and realize real-time data transfer and information exchange. At the same time the embedded intelligent operation planning system fulfill operation plan function.

Originality/value

This new intelligent real-time operation system realizes real-time modeling with RFID-based HTCPN and smart fuzzy engine to fulfill intelligent operation planning which is highly desirable in the environment of Industry 4.0. The new intelligent manufacturing architecture will highly reduce the traditional planning workload and improve the planning results without manual error interference. The new system has been applied in a practical case to demonstrate its feasibility.

Details

Industrial Management & Data Systems, vol. 117 no. 4
Type: Research Article
ISSN: 0263-5577

Keywords

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