Assembly Process Design for Managing Manufacturing Complexities Because of Product Varieties

Fujimoto, Hideo; Ahmed, Alauddin; Iida, Yasuhiro; Hanai, Mineo

doi:10.1023/b:flex.0000036031.33790.30

Cited by 57 publications

(20 citation statements)

References 19 publications

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“…It is believed that all three contributors to the structural complexity are equally important. However, these weights can be used should a reason exist to differentiate between various elements by varying the components' relative degree of importance (Fujimoto et al 2003). The value of these weights may reflect the system designer's subjective preferences based on experience or can be estimated using tools such as the Analytic Hierarchy Process (AHP).…”

Section: Proposed System Complexity Metricmentioning

confidence: 99%

Assessing the structural complexity of manufacturing systems configurations

Kuzgunkaya

ElMaraghy

2006

Int J Flex Manuf Syst

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Modern manufacturing systems are increasingly required to be flexible and adaptable to changing market demands, which adds to their structural and operational complexity. One of the major challenges at the early design stages is to select a manufacturing system configuration that both satisfies the production functional requirements and is easy to operate and manage. A new metric for assessing the structural complexity of manufacturing system configurations is presented in this paper. The proposed complexity metric incorporates the quantity of information using an entropy approach. It accounts for the complexity inherent in the various modules in the manufacturing system through the use of an index derived from a newly developed manufacturing systems classification code. The code captures the effect of various component types and technologies used in a manufacturing system on the system's structural complexity. The presented metric would be helpful in selecting the least complex manufacturing system configuration that meets the requirements. An engine cylinder head production system is used to illustrate the application of the proposed methodology in comparing feasible but different manufacturing system configurations capable of producing the cylinder head based on their structurally inherent complexity.

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Section: Proposed System Complexity Metricmentioning

confidence: 99%

Assessing the structural complexity of manufacturing systems configurations

Kuzgunkaya

ElMaraghy

2006

Int J Flex Manuf Syst

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“…Frizelle and Richards [23] proposed so-called dynamic entropy model divided into structural complexity and operational complexity. Fujimoto et al [24] proposed an information entropy-based measure of complexity for assembly planning. More recently, Hu et al [25] applied entropy function to quantify the complexity of manufacturing processes and their configurations with examples in machining processes.…”

Section: Related Workmentioning

confidence: 99%

Novel Complexity Indicator of Manufacturing Process Chains and Its Relations to Indirect Complexity Indicators

Modrák

Šoltysová

2017

Complexity

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Manufacturing systems can be considered as a network of machines/workstations, where parts are produced in flow shop or job shop environment, respectively. Such network of machines/workstations can be depicted as a graph, with machines as nodes and material flow between the nodes as links. The aim of this paper is to use sequences of operations and machine network to measure static complexity of manufacturing processes. In this order existing approaches to measure the static complexity of manufacturing systems are analyzed and subsequently compared. For this purpose, analyzed competitive complexity indicators were tested on two different manufacturing layout examples. A subsequent analysis showed relevant potential of the proposed method.

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“…One of the most notable examples of quantification of the complexity of a supply chain is the one introduced by Sivadasan et al (2002), in which a single customer-supplier relationship is analysed by the use of the information entropy measure. A method for measuring the complexities of an assembly system by applying information entropy has been introduced by Fujimoto et al (2003). Arteta and Giachetti (2004) develop a new complexity measure at the business process level of an organisation by creating a Petri net model of the system in order to derive the state probabilities for the system.…”

Section: Literature Reviewmentioning

confidence: 99%

Towards a use of network analysis: quantifying the complexity of Supply Chain Networks

Battini

Persona

Allesina

2007

IJECRM

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Abstract:The aim of this paper is to quantify the complexity and organisation level of an industrial network working towards the development of a 'Supply Chain Network Analysis' (SCNA). By measuring flows of goods and interaction costs between different sectors of activity within the supply chain borders, a network of flows is built and successively investigated by network analysis, a tool widely applied in ecosystem ecology. The result of this study supports the idea that an ecosystem approach can provide an interesting conceptual perspective in which the modern supply network can be framed, and that network analysis can handle these issues in practice.

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Assembly Process Design for Managing Manufacturing Complexities Because of Product Varieties

Cited by 57 publications

References 19 publications

Assessing the structural complexity of manufacturing systems configurations

Assessing the structural complexity of manufacturing systems configurations

Novel Complexity Indicator of Manufacturing Process Chains and Its Relations to Indirect Complexity Indicators

Towards a use of network analysis: quantifying the complexity of Supply Chain Networks

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