Optimal overlapping and functional interaction in product development

Lin, Jun; Chai, Kah‐Hin; Brombacher, AC Aarnout; Wong, YS Yoke San

doi:10.1016/j.ejor.2008.05.030

Cited by 37 publications

(31 citation statements)

References 43 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%

“…However, due to the inherently complex nature of the dependent behavior of the overlapping processes [3], it is difficult to predict the design performances (lead time, cost, and design quality [4]) under varying overlapping policies, thus leading to an ineffective determination in terms of the timing of overlap, the communication intensity, and other decision variables [5]. This ineffectiveness usually results in higher cost due to increased rework (iteration) and communication [6], [7]. Rework is a solution for coping with upstream changes when downstream starts with preliminary information from upstream [8], [9]; whereas communication is necessary in resolving information discrepancy between up and downstream [4].…”

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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“…Moreover, in cases of developing systems with an entirely new technology and/or with an entirely new set of performance features, historical data are usually unavailable (Lin et al 2009, Luh et al 2009). In such situations, activity dependencies are difficult to predict accurately and all that is available is an educated guess of the possible values.…”

Section: Basic Notion Of Fuzzy Set Theorymentioning

confidence: 99%

“…However, owing to the presence of inexact information, uncontrollable environment and so on, information dependencies among activities are often uncertain and cannot be precisely predicted. This is true especially for large complex systems where hundreds of interrelated activities are involved or in situations where historical data are unavailable (Chen and Lin 2003, Chen et al 2004, Lin et al 2009, Luh et al 2009). To address this issue, one natural approach is to treat uncertain activity dependencies as random variables with specified probability distributions.…”

Section: Introductionmentioning

confidence: 97%

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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“…The objective function consists of assessing the benefits of the overlapping period against the additional cost of rework generated from uncertainty in the information as well as the cost of frequent meetings. Lin et al (2008Lin et al ( , 2009) followed a similar approach by assuming a non-homogeneous Poisson process for the upstream change occurrences and the dependency function. Their proposed model is also non-linear and includes five decision variables.…”

Section: Literature Reviewmentioning

confidence: 99%

An optimization-based model for maximizing the benefits of fast-track construction activities

Khoueiry

Srour

Yassine

2013

Journal of the Operational Research Society

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Fast-track construction projects have become more popular in recent years in response to growing industry demand. By allowing downstream construction activities to start with incomplete information from upstream design activities, fast-tracking (through overlapping) allows for shorter project duration at the expense of potential rework. This leaves practitioners with the challenge of determining the optimal fast-tracking strategy to meet project schedule requirements while avoiding excessive amounts of rework. This paper presents an optimization-based model that serves as a decision support tool in scheduling fast-track construction activities. The model takes into consideration information exchange between upstream and downstream activities and uses the concepts of sensitivity and evolution to maximize the net benefits of fast-tracking. The model is illustrated on an ongoing construction project, which was analysed under various overlapping scenarios. The results indicate substantial time savings depending on the speed of evolution and sensitivity. The project schedule can be shortened by up to 50 days without causing excessive amounts of rework.

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Optimal overlapping and functional interaction in product development

Cited by 37 publications

References 43 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

A fuzzy approach for sequencing interrelated activities in a DSM

An optimization-based model for maximizing the benefits of fast-track construction activities

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