Improving Project Management Decision Making by Modeling Quality, Time, and Cost Continuously

Liberatore, Matthew J.; Pollack-Johnson, Bruce

doi:10.1109/tem.2012.2219586

Cited by 41 publications

(16 citation statements)

References 9 publications

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“…The successful lean implementation is defined based on the operational performance. The defined operational performance indicators are stock/ inventory reduction, productivity improvement, lead-or cycle time reduction, quality improvement, and improve on-time delivery (Liberatore and Pollack-Johnson 2013). Following the recommendations of (Pettigrew 1990) a cross-case analysis was carried out with food-processing SMEs adopting lean manufacturing practices successfully and unsuccessfully.…”

Section: Determining Factors Sourcesmentioning

confidence: 99%

Determinants and barriers to lean implementation in food-processing SMEs – a multiple case analysis

Dora

Kumar

Gellynck

2015

Production Planning & Control

187

144

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This study explored contextual or determining factors and their impacts on lean manufacturing in small-and medium-sized enterprises (SMEs) operating in food-processing industries. In order to get an in-depth insight into the real situation at the work floor, this study adopted a multiple-case-study research approach. The inherent characteristics of food industries, such as mandatory quality assurance requirements, low shelf life of food products, and the extremely volatile demand and supply presented barriers to lean manufacturing adoption. In addition, the challenges of 'change' in an SME environment are distinct from those faced by large organizations. The small size of the plant, the traditional setup, and inflexible layout make it difficult to implement lean manufacturing in food-processing SMEs. The knowledge of contextual factors influencing lean manufacturing adoption in food processing SMEs will be a contribution to current knowledge. Many studies have explored lean constructs and tools, while far fewer have explored the crucial element of actually implementing these. The study will also help practitioners to anticipate potential obstacles and take proper measures to deal with them during lean implementation.

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Section: Determining Factors Sourcesmentioning

confidence: 99%

Determinants and barriers to lean implementation in food-processing SMEs – a multiple case analysis

Dora

Kumar

Gellynck

2015

Production Planning & Control

187

144

View full text Add to dashboard Cite

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“…Thus, two common functions satisfy the requirement of activity quality, namely, the binary normal function and binary logic function [14]. We choose the former and evaluate it by data fitting.…”

Section: Quality Functionmentioning

confidence: 99%

“…Objective functions are often involved with project quality, which is expressed as the average or minimum activity quality. The minimum activity quality is used to depict the weakness of the project [1–2], whereas the average is employed to replace project quality with intermediate value of activity quality [3]. Besides, a linear combination method of the average and minimum is presented by allocating weights in advance [4].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, there is another way to prevent the linearity assumption: Salmasnia et al (2012) incorporated non-linear stochastic programming into the trade-off problem to minimize the variation effect on time, cost, and quality, but it is controversial to believe that any change to the resource input must influence quality [1]. Liberatore and Pollack-Johnson (2013) introduced a bivariate normal function of time and cost to describe task quality and conducted estimation and data fitting for two case studies to maximize the minimum activity qualities [14]. However, the assumption that activity duration is independent of cost may not be practical for construction projects.…”

Section: Introductionmentioning

confidence: 99%

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A New Model for Solving Time-Cost-Quality Trade-Off Problems in Construction

Zhang

2016

PLoS ONE

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A poor quality affects project makespan and its total costs negatively, but it can be recovered by repair works during construction. We construct a new non-linear programming model based on the classic multi-mode resource constrained project scheduling problem considering repair works. In order to obtain satisfactory quality without a high increase of project cost, the objective is to minimize total quality cost which consists of the prevention cost and failure cost according to Quality-Cost Analysis. A binary dependent normal distribution function is adopted to describe the activity quality; Cumulative quality is defined to determine whether to initiate repair works, according to the different relationships among activity qualities, namely, the coordinative and precedence relationship. Furthermore, a shuffled frog-leaping algorithm is developed to solve this discrete trade-off problem based on an adaptive serial schedule generation scheme and adjusted activity list. In the program of the algorithm, the frog-leaping progress combines the crossover operator of genetic algorithm and a permutation-based local search. Finally, an example of a construction project for a framed railway overpass is provided to examine the algorithm performance, and it assist in decision making to search for the appropriate makespan and quality threshold with minimal cost.

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“…Salmasnia et al incorporated non-linear stochastic programming into tradeoff problem and adopted a robust solution method to minimize the variation effect on time, cost, and quality [10] , but it is controversial to believe that the change of resource input would influence quality. Liberatore and Pollack-Johnson introduced the bivariate normal function of time and cost to describe task quality and conducted Estimation and Data Fitting for two case studies to maximize the minimum of activity qualities [11] , but the assumption that the activity duration is independent of its cost is not practical. Furthermore, the project quality which is expressed as the average or minimum of activity quality in above study is not appropriate to depict the complex structure of project network.…”

Section: Introductionmentioning

confidence: 99%

A new approach to time-cost-quality tradeoff problem for construction project

Zhang

2014

2014 International Conference on Management Science &Amp; Engineering 21th Annual Conference Proceedings

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The final quality is crucial for construction project, and its level determines the probability of the quality accident; moreover, the repair work occurs frequently due to the quality at a certain time during construction; besides, quality is acknowledged to be an important component of project management, but its joint relationship with time and cost previously has not been modeled. Therefore, a non-linear stochastic programming model is constructed based on multi-mode resource constrained project scheduling problem(MRCPSP) to minimize total quality cost which is composed of prevention cost and failure cost; the binary normal distribution is adopted to describe the relation among duration, direct cost and quality of each activity; two indicators namely cumulative quality and project quality are employed to measure the level during construction and the ultimate level respectively. Furthermore, the shuffled flog-leaping algorithm is adapted to solve the discrete tradeoff problem based on an adaptive serial schedule generation scheme. Finally, an example is provided to examine the algorithm performance.

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Improving Project Management Decision Making by Modeling Quality, Time, and Cost Continuously

Cited by 41 publications

References 9 publications

Determinants and barriers to lean implementation in food-processing SMEs – a multiple case analysis

Determinants and barriers to lean implementation in food-processing SMEs – a multiple case analysis

A New Model for Solving Time-Cost-Quality Trade-Off Problems in Construction

A new approach to time-cost-quality tradeoff problem for construction project

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