scholarly journals Rework Quantification and Influence of Rework on Duration and Cost of Equipment Development Task

2018 ◽  
Vol 10 (10) ◽  
pp. 3590 ◽  
Author(s):  
Xilin Zhang ◽  
Yuejin Tan ◽  
Zhiwei Yang
Keyword(s):  
Influencing Factors ◽  
Design Structure Matrix ◽  
Design Structure ◽  
Simulation Based ◽  
Task Requirements ◽  
Equipment Development ◽  
The Impact ◽  
Mapping Models ◽  
Development Task ◽  
Development Tasks

Rework is a sub-task within equipment development tasks that is revised after initial completion to meet task requirements. Some sub-tasks require multiple rework iterations due to their uncertainty and complexity, or the technology and process needs of the overall task, resulting in inefficient task implementation and resource wastage. Therefore, studying the impact of rework iterations on the duration and cost of development tasks is worthwhile. This study divides rework into foreseeable and hidden types and uses several methods to express and quantify their parameters. The main influencing factors in rework iterations—the uncertainty and complexity of the development task—are quantitatively analyzed. Then, mathematical and mapping models of the dependence between sub-tasks, uncertainty, complexity, and rework parameters are established. The impacts of rework type and rework parameters on the duration and cost of equipment development tasks are analyzed via simulation based on the design structure matrix (DSM). Finally, an example is used to illustrate the influence of different rework types and rework parameters on development tasks’ duration and cost. The results show that the duration and cost of development tasks are greater, their volatility range is wider, and the distribution is more dispersed when both foreseeable and hidden rework are considered.

scholarly journals A Novel Method of Developing Construction Projects Schedule under Rework Scenarios

2019 ◽  
Vol 11 (20) ◽  
pp. 5710
Author(s):  
Guofeng Ma ◽  
Shan Jiang ◽  
Tiancheng Zhu ◽  
Jianyao Jia
Keyword(s):  
Construction Projects ◽  
Development Project ◽  
Real Estate Development ◽  
Design Structure Matrix ◽  
Project Duration ◽  
Project Completion ◽  
Design Structure ◽  
Novel Method ◽  
The Impact ◽  
Critical Chain

Construction projects have faced serious schedule delays caused by rework risks. However, it appears that traditional methods are of limited value in developing applicable project schedules. This study presents an analysis on construction projects schedule development under rework scenarios by a novel method named the improved critical chain design structure matrix (CCDSM). Research data are collected from a real estate development project in China. As a result, predictions of project completion duration and probability have been made. A reliable schedule considering information interactions has been developed and visualized. Rework impact areas of activities have been examined to quantitatively record the impact on project duration. To meet different demands, the method generates two more schedules setting different rework buffers. Furthermore, these activities have the potential of causing rework and have been quantified based on the calculation of two criticalities, providing an identification of rework-intensive works that should be payed close importance to, which have not be realized by previous methods. The results proved the feasibility and effectiveness of this method in developing a schedule for construction projects disturbed by rework, helping practitioners adopt measures to avoid rework-caused schedule delays and achieve sustainable development of such projects.

scholarly journals The Structure of Devops in Product-Service System Development

2019 ◽  
Vol 1 (1) ◽  
pp. 3111-3120
Author(s):  
Rajaram Srinivasan ◽  
Steven D. Eppinger ◽  
Nitin Joglekar
Keyword(s):  
Development Process ◽  
Service System ◽  
System Development ◽  
Design Structure Matrix ◽  
Development Projects ◽  
Software Development Process ◽  
Product Service System ◽  
Design Structure ◽  
Product Service ◽  
The Impact

AbstractWe study a DevOps software development process for a Product-Service System (PSS) using a design structure matrix (DSM) representation. We find unique features such as nested, planned iterations at differing rates which are not evident in conventional engineering development projects. We describe the impact of integrating ongoing operations into a development process and identify some of the enablers that lead to adoption of a DevOps process. We conclude by discussing the implications of our findings and raise questions for further research.

Product Family Redesign Using Additive Manufacturing

2018 ◽  
Author(s):  
Sangjin Jung ◽  
Timothy W. Simpson
Keyword(s):  
Additive Manufacturing ◽  
Product Family ◽  
Integrated Approach ◽  
Design Structure Matrix ◽  
Platform Architecture ◽  
Design Structure ◽  
Market Requirements ◽  
Different Types ◽  
The Impact

In this study we investigate how we can effectively redesign a product family using additive manufacturing (AM). Specifically, we propose an integrated approach to product family redesign using platform metrics for a product family that uses AM. The proposed approach can help identify what to platform and how to platform with AM. We employ a variety metric to measure the amount of redesign for each component, a commonality metric to capture different types of commonality, and Design Structure Matrix (DSM) to analyze a platform architecture. After integrating these metrics, we can optimize balancing the tradeoffs between commonality and differentiation of components. Components that offer little variety for the market can be made common and part of the platform while components that must be varied to achieve market requirements should not be platformed and may be easily customized with AM. In order to facilitate customization of AM components, we can evaluate redesign of platform interfaces to help embed flexibility and modularity into the product family. To investigate the impact of the integrated approach, we apply the proposed approach to a family of Unmanned Aerial Vehicles (UAVs) as a case study. The results show the proposed approach can be effectively employed to identify ways to redesign the UAV family to improve the balance of commonality and variety of future product offerings.

scholarly journals Critical Chain Design Structure Matrix Method for Construction Project Scheduling under Rework Scenarios

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Guofeng Ma ◽  
Keke Hao ◽  
Yu Xiao ◽  
Tiancheng Zhu
Keyword(s):  
Project Scheduling ◽  
Large Scale ◽  
Construction Project ◽  
Design Structure Matrix ◽  
Structure Matrix ◽  
Project Completion ◽  
Promising Tool ◽  
Design Structure ◽  
The Impact ◽  
Critical Chain

Rework risks have been a major challenge in the construction industry that constantly affects project schedules and threatens on-time project completion. Traditional project scheduling methods are not capable of modeling rework relationships between activities and mitigating the impact of resulting uncertainties during the development of project schedules. To address this challenge, a critical chain design structure matrix (CCDSM) method is proposed in this paper. The CCDSM method aims to develop construction project schedules that are adaptive to rework scenarios and robust against rework risks. The CCDSM method models and displays large-scale rework relationships among activities and introduces a new rework buffer to quantitatively represent the impact of rework instances in project schedules. A max-plus algorithm is adopted in CCDSM to transform complex logic relationships into simple matrix operations, reducing computational load of schedule generation. A case study was conducted to demonstrate the implementation of the CCDSM method and assess its effectiveness in addressing rework risks. The results showed that the CCDSM is a promising tool to generate schedules, which could improve on-time project completion rate and reduce impacts of varying rework scenarios on project execution.

Modeling the Influence of Design Modification on Product Development Projects Based on Structure Methods

2014 ◽  
Vol 599-601 ◽  
pp. 2202-2205
Author(s):  
Qing Yang ◽  
Zhi Lin Liu
Keyword(s):  
Product Development ◽  
Design Parameters ◽  
Design Structure Matrix ◽  
Functional Requirements ◽  
Design Modification ◽  
Design Structure ◽  
Product And Process ◽  
Quality Function Development ◽  
The Impact ◽  
The Relationship

This paper proposes a structure method integrating Design Structure Matrix (DSM) and Quality Function Development (QFD) to analyze the impact of design modification on Product Development (PD) Projects. Firstly, we build a QFD to represent the relationship between functional requirements and design parameters for quantifying the influence of function modification on design parameters, product and process. And a model of measuring dependency strengths in the function DSM is presented. Secondly, the model deducing a derived DSM matrix from a known DSM is built based on Multi-Domain Matrix (MDM). Finally, the derived process DSM is conducted sequence optimization.

THE MODEL FOR MANAGING INVESTMENTS IN THE MOSCOW ENVIRONMENT BASED ON A POWER REGRESSION EQUATION

2020 ◽  
Vol 2 (7) ◽  
pp. 91-99
Author(s):  
E. V. KOSTYRIN ◽  
◽  
M. S. SINODSKAYA ◽  
Keyword(s):  
Solid Waste ◽  
Influencing Factors ◽  
Pair Correlation ◽  
Approximation Error ◽  
Regression Equation ◽  
Regression Equations ◽  
The Impact ◽  
The Relationship ◽  
Average Approximation ◽  
Average Approximation Error

The article analyzes the impact of certain factors on the volume of investments in the environment. Regression equations describing the relationship between the volume of investment in the environment and each of the influencing factors are constructed, the coefficients of the Pearson pair correlation between the dependent variable and the influencing factors, as well as pairwise between the influencing factors, are calculated. The average approximation error for each regression equation is determined. A correlation matrix is constructed and a conclusion is made. The developed econometric model is implemented in the program of separate collection of municipal solid waste (MSW) in Moscow. The efficiency of the model of investment management in the environment is evaluated on the example of the growth of planned investments in the activities of companies specializing in the export and processing of solid waste.

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