Complexity Management Approach for Resource Planning in Variant-rich Product Development

Vogel, Wolfgang

doi:10.1007/978-3-658-18632-6_5

Cited by 6 publications

(5 citation statements)

References 34 publications

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“…In the literature, increasing complexity is often related to increasing costs [174]. Managing a system's complexity requires an optimum fit between internal and external complexity [240,272]. The complexity management comprises the application of the mentioned complexity consideration with the aim of a target-oriented complexity design [174].…”

Section: Introductionmentioning

confidence: 99%

“…The complexity management comprises the application of the mentioned complexity consideration with the aim of a target-oriented complexity design [174]. Schuh [240] argues further that the complexity management comprises four tasks: designing the necessary variety, handling variety-increasing factors, reducing variety and controlling complex systems [272].…”

Section: Introductionmentioning

confidence: 99%

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Complexity drivers in manufacturing companies: a literature review

Vogel

Lasch

2016

Logist. Res.

Self Cite

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Increasing complexity in manufacturing companies has been one of the biggest issues during the last years. Companies in high-technology marketplaces are confronted with technology innovation, dynamic environmental conditions, changing customer requirements, globalization of markets and competitions as well as market uncertainty. Manufacturing companies can't escape these trends, which induce an increasing amount of complexity. Reasons for this phenomenon are internal and external sources of complexity so-called complexity drivers. Identifying, analyzing and understanding complexity drivers are the first step for complexity management's development and implementation. Complexity management is a strategic issue for companies to be competitive. The purpose of this literature review is to provide a general overview regarding complexity drivers in manufacturing companies. The different definitions of complexity drivers are described, and a new overall definition of complexity drivers is presented. Furthermore, the existing approaches for complexity driver's identification, operationalization and visualization are identified and specified. For complexity driver's clustering, a superior classification system was developed based upon existing classification systems in the literature. The literature review was done by systematically analyzing and collecting existing literature and reveals gaps according to methodology and issue. Existing literature reviews are only focused on specific issues, such as logistics or supply chain management, and do not point out the applied research methodology in detail. A general overview regarding complexity drivers in manufacturing companies and along the value chain does not exist yet.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Complexity drivers in manufacturing companies: a literature review

Vogel

Lasch

2016

Logist. Res.

Self Cite

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“…Based on published articles related to Malaysian manufacturing industry, initially IMC has 30 elements. Nevertheless, after a series of analyses, IMC can been grouped into three clusters, namely operational, productivity and organisational complexity [16], [20]. These clusters have their own elements as presented in Table 1.…”

Section: Internal Manufacturing Complexitymentioning

confidence: 99%

Organizing the Internal Manufacturing Complexity Elements in Adaptation of Current Manufacturing Environment: A Fuzzy Approach

R¹,

M²,

H³

2022

JMechE

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Manufacturing industry has been developed outrageously during the past decade. The scenario also applies on Malaysian industry where 22.3% of the economy is generated from the manufacturing industry. Numerous latest concepts and technologies have been implemented by manufacturing firms to increase their productivity, product variety and efficiency. However, these changes also provide certain challenges by increasing manufacturing complexity and decreasing sustainability. Generally, manufacturing complexity is classified into internal and external complexity. This research intends to arrange the elements of internal manufacturing complexity (IMC) according to the priority through the period of enhancing sustainability. IMC elements were clustered into organizational, operational and productivity complexity. Fuzzy analytic hierarchical process was implemented in this research as multi criteria decision making method in IMC management. The results found that IMC priority sequence started with productivity, followed by organizational and operational complexity. Productivity complexity with dominant weightage of 0.5302 was emphasized by three elements which are quality inspection process, cost reduction and time reduction respective to the sequence. Meanwhile, organizational complexity slightly led operational complexity by a difference of 0.059. The results show that the Malaysian manufacturing industry is very keen on the product quality and conforms to the requirements. This research could aid firms and researchers to focus on more important elements in decision making for bigger impact on overall performance.

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“…This request-based production determines a high degree of complexity in the manufacturing systems [4]. This manufacturing systems need to have a high degree of flexibility.…”

Section: Introductionmentioning

confidence: 99%

Petri Net Modeling of a Production System With Parallel Manufacturing Processes

et al. 2023

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This paper presents the modelling and control of a flexible manufacturing system with integrated Industry 4.0 concepts using Petri nets. The flexible manufacturing system is composed of 7 workstations that ensure the assembly and disassembly of two types of products on two parallel production processes. The two parallel processes, in-line and in-cell production processes, ensure the assembly of the products and disassembly of the defects with a minimal number of stations. wo types of controls, local and centralized, are implemented in the control of production processes. The local control, based on the PLCs of each station, ensures the control of the assembly process at the workstation level. The centralized control ensures the obtaining of desired results at the level of interaction between the stations and also the implementation of the optimization algorithm results. To better understand and develop the control of the system a Petri net model was developed. Based on the properties of the Petri nets was possible to simulate and verify the assembly process and data flow inside the flexible manufacturing system. The developed model also ensures no bottlenecks at the data transmission and processing of the production information from the client to the production hardware.

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Complexity Management Approach for Resource Planning in Variant-rich Product Development

Cited by 6 publications

References 34 publications

Complexity drivers in manufacturing companies: a literature review

Complexity drivers in manufacturing companies: a literature review

Organizing the Internal Manufacturing Complexity Elements in Adaptation of Current Manufacturing Environment: A Fuzzy Approach

Petri Net Modeling of a Production System With Parallel Manufacturing Processes

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