A representation model for the solving-time distribution of a set of design tasks in new product development (NPD)

Dragut, AB Andreea; Bertrand, Jwm Will

doi:10.1016/j.ejor.2006.06.075

Cited by 14 publications

(4 citation statements)

References 22 publications

(26 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although this shuts the door on numerous parametric techniques, usually every data set follows some pattern which can be analyzed. In fact, it was pointed out earlier that Dragut and Bertrand [35] used nonparametric KS-tests with queue models (which use waiting line theory from operations research).…”

Section: Failure Of Preliminary Test and Experiments Redesignmentioning

confidence: 98%

“…Dragut and Bertrand [35] created an improved microlithography process for a new product development project based on a simple queuing model. They used general server queue models with engineering design tasks averages.…”

Section: Empirical Studies Of Applied Novel Logistics Techniquesmentioning

confidence: 99%

“…Validating Poisson, Exponential and Constant distributions requires special tests-normal parametric techniques cannot be used. Although Dragut and Bertrand [35] used the KS-test, a simpler but equally effective nonparametric goodness of fit test (GF-test) can be used to compare distribution characteristics, based on the chi-square formula [46]. This is widely available in statistics text books.…”

Section: Failure Of Preliminary Test and Experiments Redesignmentioning

confidence: 99%

See 2 more Smart Citations

Applying multidisciplinary logistic techniques to improve operations productivity at a mine

Strang

2011

Logist. Res.

View full text Add to dashboard Cite

This case study uses a surface mine to investigate multidisciplinary logistics analysis methods for improving refinery operations. Existing resource scheduling, inventory forecasting, and economic production quantity procedures have not been able to identify how to improve productivity. The objective was to locate and demonstrate proven techniques from operations research (and other related disciplines) which could be applied to solve logistics problems. Historical operations data along with a new sample (n = 140) were utilized for the analysis. Preliminary parametric tests failed, but later a multiple server queue model was developed by integrating nonparametric techniques, waiting line theory, stochastic probabilities, and break-even scenario analysis. Quantitative and qualitative data were analyzed, resulting in a solution to increase truck arrival rates by 10% which was projected to increase refinery utilization by 7-77%, thereby generating a potential productivity savings of $161,223.31 per year.

show abstract

Section: Failure Of Preliminary Test and Experiments Redesignmentioning

confidence: 98%

Section: Empirical Studies Of Applied Novel Logistics Techniquesmentioning

confidence: 99%

Section: Failure Of Preliminary Test and Experiments Redesignmentioning

confidence: 99%

See 1 more Smart Citation

Applying multidisciplinary logistic techniques to improve operations productivity at a mine

Strang

2011

Logist. Res.

View full text Add to dashboard Cite

show abstract

“…Jun et al (2006) provided a heuristic algorithm that can estimate the lead time of a complex PD process by series-parallel network transformation and network reduction methods with estimates of the makespans of branch-merge types. Dragut and Bertrand (2008) developed a simple queuing model incorporating all these four factors, to estimate the solving-time distribution of a finite set of design tasks assigned to a team of engineers during a new 504 ECAM 27,2 product development project. Cheraghi et al (2017) developed a mathematical programming model for selecting risk response strategies for construction projects.…”

mentioning

confidence: 99%

A reconfigurable model for implementation in the closing phase of a wind turbines project construction

Zohrehvandi

Vanhoucke

Soltani

et al. 2019

ECAM

View full text Add to dashboard Cite

Purpose The purpose of this paper is to introduce a reconfigurable model that is a combination of a schedule model and a queuing system M/M/m/K to reduce the duration of the wind turbine construction project closure phase and reduce the project documentation waiting time in the queue. Design/methodology/approach This research was implemented in a wind farm project. The schedule model deals with reducing the duration of the turbines closure phase by an activity overlapping technique, and the queuing system deals with reducing the turbine documentation waiting time in the queue, as well as reducing the probability of server idleness during the closure phase. Findings After the implementation of the model, the obtained results were compared to those of similar previously conducted projects in terms of duration, and the model was found effective. Research limitations/implications Project closure is an important and mandatory process in all projects. More often than not, this process is faced with problems including prolonged project duration, disputes, lawsuits, and also in projects like the implementation of wind farms, a queue of documents at closing stage may also cause difficulties in project closure phase. Originality/value The contributions of this research are twofold: first, a combination of project management and queuing system is presented, and second, a reconfigurable model is introduced to enhance the performance and productivity of the closure phase of the project through reducing the implementation time and reducing the turbine documentation waiting time in the queue, as well as reducing the probability of server idleness during the closure phase of the wind farm project.

show abstract

Modeling and managing engineering changes in a complex product development process

Moon

2012

Int J Adv Manuf Technol

View full text Add to dashboard Cite

Today's hyper-competitive worldwide market, turbulent environment, demanding customers, and diverse technological advancements force any corporations who develop new products to look into all the possible areas of improvement in the entire product lifecycle management process. One of the areas that both scholars and practitioners have overlooked in the past is Engineering Change Management (ECM).The vision behind this dissertation is to ultimately bridge this gap by identifying main characteristics of a New Product Development (NPD) process that are potentially associated with the occurrence and magnitude of iterations and Engineering Changes (ECs), developing means to quantify these characteristics as well as the interrelationships between them in a computer simulation model, testing the effects of different parameter settings and various coordination policies on project performance, and finally gaining operational insights considering all relevant EC impacts.The causes for four major ECM problems (occurrence of ECs, long EC lead time, high EC cost, and occurrence frequency of iterations and ECs), are first discussed diagrammatically and qualitatively. Factors that contribute to particular system behavior patterns and the causal links between them are identified through the exploratory construction of causal/causal-loop diagrams.To further understand the nature of NPD/ECM problems and verify the key assumptions made in the conceptual causal framework, three field survey studies were conducted in the summer of 2010 and 2011. Information and data were collected to assess the current practice in automobile and information technology industries where EC problems are commonly encountered. Using a numerical example, different project-related model features (e.g., learning curve effects, rework likelihood, and level of dependency of product configuration) and coordination policies (e.g., overlapping strategy, rework review strategy, IEC batching policy, and resource allocation policy) are tested and analyzed in detail concerning three major performance indicators: lead time, cost, and quality, based on which decision-making suggestions regarding EC impacts are drawn from a systems perspective. Simulation results confirm that the nonlinear dynamics of interactions between NPD and ECM plays a vital role in determining the final performance of development efforts.

show abstract

A representation model for the solving-time distribution of a set of design tasks in new product development (NPD)

Cited by 14 publications

References 22 publications

Applying multidisciplinary logistic techniques to improve operations productivity at a mine

Applying multidisciplinary logistic techniques to improve operations productivity at a mine

A reconfigurable model for implementation in the closing phase of a wind turbines project construction

Modeling and managing engineering changes in a complex product development process

Contact Info

Product

Resources

About