A systematic method for studying a manufacturing enterprise to determine the possibilities for integration

Burbidge, John L.; Falster, Peter; Riis, Jens Ove

doi:10.1016/0951-5240(89)90005-0

Cited by 3 publications

(4 citation statements)

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“…Integration is about understanding and visualizing the constraints in order to eliminate or control them. Burbidge et al (1989) gives a list of necessary steps required to develop an integrated enterprise. Although this list was developed for overall enterprise integration, it is not operational at all.…”

Section: A Systematic Model For Integration Analysismentioning

confidence: 99%

“…The analysis method proposed by Burbidge et al (1989) includes a number of questions to be asked and tables of data to be filled in. It does not correspond directly to the three financial criteria proposed by Goldratt and Cox (1986).…”

Section: Throughput and Flow Analysismentioning

confidence: 99%

“…Burbidge et al (1989) introduces an approach that identifies areas of integration and produces an integration profile. This method provides an excellent overview of the integration possibilities of a manufacturing company.…”

Section: Issuesmentioning

confidence: 99%

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Methods for integration of process planning and production planning

Larsen¹

1993

International Journal of Computer Integrated Manufacturing

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Integration is often considered to be a tangible word.In fact integration is diffuse: it docs not express in any detail how 10 conduct integration initiatives. On the other hand, integration docs represent a very efficient way of improving the operational characteristics of a manufacturing facility. The concepts provided for integration are derived from the discovery of rime-dependent tasks within the process planning domain.When operating in dynamic environments it is important to separate static and dynamic controlled decision making and 10 provide architectures capable of providing the required dynamic knowledge at the time when the decisions are made. A natural expansion of this hypothesis is the development of an approach for process planning conducted concurrently with the other engineering activities within product life. This article int reduces a practical approach to the integration of process planning and production control business functions. The approach outlines systematic methods to gain insight into, and 10 understand, the complexity of real-world problems, and it provides solutions to solve them. Concepts for solving the integration issue based on constrained information theory are also provided.

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Section: A Systematic Model For Integration Analysismentioning

confidence: 99%

Section: Throughput and Flow Analysismentioning

confidence: 99%

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Methods for integration of process planning and production planning

Larsen¹

1993

International Journal of Computer Integrated Manufacturing

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“…Some researches have focused on a subset of these factors and drawn some guidelines for CIM implementation. For example Hales (1984) used the analytical hierarchical process (AHP) to select alternative technologies, Meredith (1985) and Degraeve et al (1986) used cash flow, ROI and sensitivity methods to study profit analysis of CIM investment, Rushinek and Rushinek (1987) and Burbidge et al (1989) Randhawa and West (1989) used expected financial value to simulate CIM investment risk, Liu et al (1990) used a question-driven approach to develop CIM strategic plans, and Boubekri et al (1991) proposed a hybrid quality function deployment and optimization approach to aid the decision-making processes and to identify the utility functions. Each of these studies involved some evaluation characteristics; however, there is no comprehensive evaluation framework that would fully support management decisions.…”

Section: Introductionmentioning

confidence: 99%

A multi-echelon evaluation framework for CIM systems design

Liu

Tsai²,

Liang

et al. 1994

International Journal of Computer Integrated Manufacturing

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Implementing a computed integrated manufacturing (C1M) system design involves major capital investment which must take into consideration state-of-the-art technologies and management strategies. This multi-echelon evaluation framework employs strategic planning, conceptual design, risk analysis, sensitivity analysis, simulation and the analytical hierarchical process to evaluate the Cf M system design. This approach is characterized by flexibility and assessabiliry of the iterative evaluation cycles, subjective utility functions of decision makers, and simulation for risk analysis at different stages of the evaluation process. It provides management with a decision support tool when considering Cf M implementation. A case study is presented to demonstrate this multi-echelon evaluation framework for CfM systems design.

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