Overlapping and communication policies in product development

Lin, Jun; Qian, Yanjun; Cui, Wentian; Miao, Zhanli

doi:10.1016/j.ejor.2009.03.040

Cited by 44 publications

(30 citation statements)

References 33 publications

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“…Their framework can provide estimated completion time of two dependent tasks under varying overlapping strategies and suggests situations under which overlapping is most adaptive. In relation to the risk of rework, other analytical models consider communication as an influential factor and investigate how it may mitigate the impact of downstream rework resulting from uncertain initial information (e.g., [6], [7], [11], [12]). …”

Section: Introductionmentioning

confidence: 99%

“…Two common assumptions in the NPD literature are: 1) The downstream sensitivity is modeled as rework probability or degree of rework [7], which is estimated through interviews with experienced managers and/or through survey of historical design data [14]- [23]. 2) It is modelled as a function of upstream progress where the assumption is that a longer intermediate review period causes more rework [6], [7], [11]- [13], [24]. It is suggested that while the former assumption is a simplification of the NPD process, it entails subjective errors in estimating the dependence; whereas the second assumption captures what is observed but does not directly address how to derive the function from engineering data [14].…”

Section: Introductionmentioning

confidence: 99%

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A Study of the Evolution of Uncertainty in Product Development as a Basis for Overlapping

Dingyu

Bhuiyan

2015

IEEE Trans. Eng. Manage.

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Overlapping new product design process is widely applied in industry. However, selections of appropriate overlapping strategies based on the prediction of process performance can be problematic due to insufficient understanding on the dependence between design processes and its effect on the performance. This paper introduces a new model for a product design organization that is based on the evolving nature of the design process, the dependence between up and downstream design specifications, and the design technology being adopted. The model presents an evaluation method for quantifying the downstream evolutionary behavior. Through an industrial case study, it is applied to evaluate how the design performances vary under different overlapping strategies and how to determine an optimal overlapping; the results imply that the performance is contingent on the strategy, and no single strategy outperforms in overall performance measures. Furthermore, the model measures process dependency-a quantification of the downstream work that is indifferent to the change of the upstream. This quantification can be applied to determine the rework probability or rework function proposed by other studies. The model also addresses the rationale of how improving design technology efficiency can lead to an upgrading of design performances.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Study of the Evolution of Uncertainty in Product Development as a Basis for Overlapping

Dingyu

Bhuiyan

2015

IEEE Trans. Eng. Manage.

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“…The core trade-off in many of these models is to strike a balance between the time duration spent on working alone on a specific design activity versus the time spent communicating with other designers (Ha and Porteus, 1995;Krishnan et al, 1997;Loch and Terwiesch, 1998;Joglekar et al, 2001;Yassine et al, 2008;Lin et al, 2010). While communication reduces the chance of future rework, it prevents designers from spending time on actually performing their job.…”

Section: Literature Reviewmentioning

confidence: 98%

“…Finally, Lin et al (2010) formulated a mathematical model to investigate the time/cost trade-offs involved in a concurrent product development process to determine the optimal overlapping and communication strategies. However, their model is deterministic and does not address the risk (i.e., the uncertainty) of the information exchanged between the upstream and downstream activities.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal information exchange policies in integrated product development

2013

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This article considers information exchange in an Integrated Product Development (IPD) environment. First, a dynamic programming model is formulated that is able to capture upstream partial information flow in a two-activity IPD process. A simple threshold policy is derived that aids the downstream activity in deciding whether to consider or ignore this upstream information as a function of information quality and its associated setup and rework penalties. Then, this formulation is expanded to model analytically, for the first time, information flow in a three-activity IPD process. In this case, the focus is on aiding the midstream activity in deciding whether to consider or ignore partial upstream information, taking into consideration downstream concerns. Because it is difficult to derive threshold policies in this case, the dynamic program has to be solved directly and then an extensive Monte Carlo simulation study is performed to analyze the behavior of the optimal policy. The simulation results suggest several important insights regarding the timing and frequency of considering partial information in an IPD environment.

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“…How these activities are organised and scheduled has a significant effect on the success of a system (Smith and Eppinger, 1998, Karniel and Reich 2009, Lin et al 2010, Shaja and Sudhakar 2010.…”

Section: Introductionmentioning

confidence: 99%

A fuzzy approach for sequencing interrelated activities in a DSM

Lin

Qian

Yassine

et al. 2012

International Journal of Production Research

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Production and manufacturing systems often involve a myriad of interrelated activities. How these activities are organised and scheduled has a significant effect on the success of a system. Recently, the Design Structure Matrix (DSM) has been regarded as an effective tool for modelling and scheduling interrelated activities. Based on fuzzy set theory, this study explicitly addresses the uncertain activity dependencies in our formulation and develops a mathematical model for sequencing interrelated activities in a DSM. Because of the complexity of the model, a new approach, which embeds an exact algorithm within a framework of a local search heuristic, is presented for solving large problem instances. Testing results demonstrate that relatively good solutions can be easily obtained by our approach, thereby providing managers with an effective tool for scheduling a large number of interrelated activities with uncertain dependencies.

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Overlapping and communication policies in product development

Cited by 44 publications

References 33 publications

A Study of the Evolution of Uncertainty in Product Development as a Basis for Overlapping

A Study of the Evolution of Uncertainty in Product Development as a Basis for Overlapping

Optimal information exchange policies in integrated product development

A fuzzy approach for sequencing interrelated activities in a DSM

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