The design structure matrix (DSM) is becoming a popular representation and analysis tool for system and process modelling. A DSM displays the relationships between components of a system in a compact, visual, and anal...
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ISBN:
(纸本)9780878492541
The design structure matrix (DSM) is becoming a popular representation and analysis tool for system and process modelling. A DSM displays the relationships between components of a system in a compact, visual, and analytically advantageous format which is a square matrix with identical row and column labels. The main goal in basic DSM analysis is to minimize feedbacks by restructuring or re-architecting the process, which is to say by resequencing the rows and columns of the matrix. This widely practiced initial step in analysis is called partitioning, block diagonalization, or block triangularization, and it involves an algorithm for getting the DSM in an upper-triangular form to the extent possible, with a minimum number of subdiagonal marks pulled as close to the diagonal as possible and grouped in blocks. As a consequence, we have to identify the activities which are coupled, the loops and reorganize the matrix in order to reduce the feedbacks. An application example has been presented to illustrate the power of DSM for product development process integration.
This paper presents an algorithm of modular identification in product architecture design on the base of information dependency. A design structure matrix (DSM) model is constructured to capture the relationship betwe...
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ISBN:
(纸本)9781424406838
This paper presents an algorithm of modular identification in product architecture design on the base of information dependency. A design structure matrix (DSM) model is constructured to capture the relationship between members, and it can be transformed for searching better product structure. A coordination cost function is defined to evaluate modular quality. If the cost of every module is same, it is impossible to find out better modules, consequently, an auxiliary estimated function is also proposed. It avoids the limitation of coordination cost function and will be capable of accurately selecting available module. A detail of calculation steps are described and a testing case illustrates the effect of the algorithm. The results also show that the optimal modular partition can be obtained. The method may be applied in product design management for clustering components to prompt quality of product, for ordering design parameters and for building a development team to speed up development process.
A software lifecycle is composed of many software processes which are not independent. In order to improve a process, the process should be integrated into a larger process context environment and the synchronization ...
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ISBN:
(纸本)9783642214103
A software lifecycle is composed of many software processes which are not independent. In order to improve a process, the process should be integrated into a larger process context environment and the synchronization between processes should be insured. This paper introduces the concept of process modeling and the design structure matrix (DSM) describing complex process systems. By using software process integration as an example, the method of integrating software processes based on DSM is discussed. By analyzing and rearranging the DSM of the integrated process purposely, the process could be improved to reduce the iterative rework in the process and the whole process completion time could be shortened.
We show equivalence of design structure matrix (shortly DSM) and axiomatic design (shortly AD). First, DSM is defined as a set of permissible ranges of both functions and constraints. We study relationship among three...
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ISBN:
(纸本)9783446437937
We show equivalence of design structure matrix (shortly DSM) and axiomatic design (shortly AD). First, DSM is defined as a set of permissible ranges of both functions and constraints. We study relationship among three DSMs on design parameters, physical components and business ecosystem, which are examples of Multiple Domain matrix. We prove that DSM on physical components for functions is equivalent to modularity matrix of AD. Next, we introduce entropy from DSM after regularizing DSM by a new parameter. We show that two limits of the entropy are logically equivalent to modularizations of real option theory and information axiom in DSM and AD.
Several authors have quantified the modularity of software systems in terms of coupling and cohesion metrics. Most of these approaches focus on functional and procedural dependencies in the system. Although highly rel...
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ISBN:
(纸本)9781450357166
Several authors have quantified the modularity of software systems in terms of coupling and cohesion metrics. Most of these approaches focus on functional and procedural dependencies in the system. Although highly relevant at the design phase, these static dependencies alone do not account for how a software product evolves over time. Instead, this is also dictated by logical and hidden dependencies between system files. To a large extent, the co-change (co-commit) relation captures these different types of dependencies. In this paper, we define two measures of co-change-modularity of a software product based on a weighted design structure matrix (DSM). The first metric, called the weighted propagation cost, uses matrix exponential to measure how changes to one system file potentially affect the whole product. The second metric, called the weighted clustering cost, uses the output of the first metric to measure the partitionability of the system based on the co-change relation. In addition, we provide a visual representation of how the co-change structure of a system evolves over time. We discuss the theoretical foundation of our work and highlight its advantages over existing methodologies. We apply our approach to GNU Octave and show the findings to be consistent with the available literature on the evolution of Octave. Our analysis is extensible and applicable to a range of scenarios including open source systems.
Mass customization has been well recognized as an effective means of providing product variety while keeping mass production efficiency. As a critical aspect of fulfilling mass customization, assembly system design is...
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Mass customization has been well recognized as an effective means of providing product variety while keeping mass production efficiency. As a critical aspect of fulfilling mass customization, assembly system design is facing the challenge of handling high product and process variety. This paper presents a variety-driven clustering method for assembly system layout design. Key issues include variety modeling and modularization of assembly process flows. Based on the minimization process of total coordination cost, the cluster analysis is formulated using the design structure matrix (DSM). A case study of automobile connector assembly system design is reported to demonstrate the feasibility and potential of DSM clustering analysis for dealing with product and process variety. (C) 2017 The Authors. Published by Elsevier B.V.
Now days supply chain systems operate in an operational environment with high uncertainty. Customer globalization, increase of natural and manmade disasters, outsourcing in far distances have increased uncertainty. Fl...
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ISBN:
(纸本)9783446433540
Now days supply chain systems operate in an operational environment with high uncertainty. Customer globalization, increase of natural and manmade disasters, outsourcing in far distances have increased uncertainty. Flexibility as a capability can help systems included supply chains respond to uncertainty and deliver value to their users. auto supply chain is the one that has suffered from these disasters. This paper encapsulates operational environment uncertainty through scenario development, then scores the scenarios based on some proxies. design structure matrix is proposed to show the typical auto supply chain relationships before scenario occurring consequences and after that. in the next step, dendrogram is used for clustering, each cluster is a combination of system components. then based on some MOE1 and MOP2 measures, feasible options is proposed for most sensitive region of the supply chain, so that it can do its original mission objectives at the time of occurring unprecedented changes.
We combine Object-Process Methodology (OPM) with design structure matrix (DSM) and its Multi Domain matrix (MDM) extension to capitalize on the potential synergies of these two approaches to model-based systems engine...
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ISBN:
(纸本)9781728186023
We combine Object-Process Methodology (OPM) with design structure matrix (DSM) and its Multi Domain matrix (MDM) extension to capitalize on the potential synergies of these two approaches to model-based systems engineering. OPM can provide a very detailed system model, but it is limited in examining the system as a whole, especially when the system is large and complex. DSM, which provides a matrix representation of the system, lists all the elements and shows relations between model elements. This matrix is amenable to matrix manipulation like clustering and partitioning, enabling the evaluation of relations among model elements. We follow a methodical five-step approach for applying DSM to analyze and improve complex OPM system models. Dedicated preprocessing algorithms have been developed and applied to eliminate states from objects and flatten the hierarchical OPM model while maintaining its semantics. The resulting DSMs and DSM variations of an OPM model are then analyzed, this can be achieved by domain experts who can get ideas or suggestions to improve the model based on quantitative metrics. After examining outcomes of clustering or partitioning algorithms on the DSM, the modularity of the model can be improved, yielding possible gains for the system under development.
The design and development of complex products require the efforts and collaboration of hundreds of participants from diverse backgrounds resulting in complex relationships among both people and tasks. One method for ...
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ISBN:
(纸本)9781424421077
The design and development of complex products require the efforts and collaboration of hundreds of participants from diverse backgrounds resulting in complex relationships among both people and tasks. One method for reducing both time and cost is to develop an understanding of the flow of the product development processeses and the effects of the iterative subcycles that are found In complex product development processes. Once these aspects are understood, the manager can make decisions that take advantage of decomposition, concurrent engineering, and parallel processesing techniques to reduce the total time and the total cost of the design cycle. One tool that can aid in this decision-making processes is the design structure matrix(DSM). This article will show how the tool works and how you can use the DSM to improve the management of complex product development projects using partitioning algorithms.
design knowledge representation has been regarded as a key aspect in design processes, especially at the early stage of conceptual design as it establishes the basis for the subsequent design activities. This paper pr...
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ISBN:
(纸本)9781904670735
design knowledge representation has been regarded as a key aspect in design processes, especially at the early stage of conceptual design as it establishes the basis for the subsequent design activities. This paper presents a systematic knowledge representation model called Requirement-Function-Principle solution-structure (RFPS), in which functional knowledge model (FKM) is proposed to represent the mapping relationships between the function layer and structure layer and to strengthen the design knowledge reuse in conceptual design. By investigating the mapping process, a transformation matrix (TM) is developed to reveal the mapping relations between the function representations and structure parameters and to identify whether the decomposition of the function layer reaches the lowest level. Then design structure matrix (DSM) is introduced to combine with RFPS to enhance the representation of the internal interactions of the function layer and structure component. A matrix transformation algorithm is put forward to facilitate the conversion procedure between TM and DSM. Finally, a case study is presented to demonstrate the proposed approach.
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