Learning Curves, Production Rate, and Program Costs

Womer, Norman Keith

doi:10.1287/mnsc.25.4.312

Cited by 93 publications

(24 citation statements)

References 9 publications

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“…Early work focused on cost estimation and optimization of production rates with learning effect (Walters 1963;Womer 1979). Various resource-constrained project scheduling (RCPSP, based models have been proposed to optimize more detailed scheduling and sequencing decisions under limited resources of machine, equipment and manpower.…”

Section: Discussionmentioning

confidence: 99%

Robust Optimization for the Discrete Time-Cost Tradeoff Problem with Cost Uncertainty

Hazır

Haouari

Erel

2014

Handbook on Project Management and Scheduling Vol. 2

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This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher's location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein.Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com) PrefaceThis handbook is devoted to scientific approaches to the management and scheduling of projects. Due to their practical relevance, project management and scheduling have been important subjects of inquiry since the early days of Management Science and Operations Research and remain an active and vibrant field of study. The handbook is meant to provide an overview of some of the most active current areas of research. Each chapter has been written by well-recognized scholars, who have made original contributions to their topic. The handbook covers both theoretical concepts and a wide range of applications. For our general readers, we give a brief introduction to elements of project management and scheduling in the first chapter, where we also survey the contents of this book. We believe that the handbook will be a valuable and comprehensive reference to researchers and practitioners in project management and scheduling and hope that it might stimulate further research in this exciting and practically important field.Short-listing and selecting the contributions to this handbook and working with more than one hundred authors have been a challenging and rewarding experience for us. We are grateful to Günter Sch...

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Section: Discussionmentioning

confidence: 99%

Robust Optimization for the Discrete Time-Cost Tradeoff Problem with Cost Uncertainty

Hazır

Haouari

Erel

2014

Handbook on Project Management and Scheduling Vol. 2

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“…Cumulative production is often used as the proxy for knowledge of the production process (Womer, 1979;Spence, 1981). Other studies model knowledge or experience as the accumulation of time spent doing the activity of interest.…”

Section: The Basic Learning Curve Modelmentioning

confidence: 99%

Putting the learning curve in context

Morrison

2008

Journal of Business Research

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“…This cost is related to learning eOE ects. Detailed discussion on quality-related cost has been give by Fetter (1967), Pegels (1969), Moorty (1989), Shapiro (1977), Womer (1979), Smith (1980), Reddy (1980), Fine (1986 and Karmarker and Pitbladdo (1997).…”

Section: Research Backgroundmentioning

confidence: 99%

Dynamic optimal control policy in advertising price and quality

et al. 2001

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This study presents an algorithm for deriving the long-term polices of quality level, price and advertisement for a product. The diVusion models and cost functions are combined to formulate pro® t functions capable of determining future pro® t trends. The algorithm ® rst implements the optimal control theory to derive the optimal conditions of the pro® t function. Then the genetic algorithm is employed to search for the approximate solutions of quality level, price and advertising expenditure at each period on the planning horizon (life cycle). Examples of diVerent scenarios of the model parameters are presented to describe the results obtained herein. Sensitivity analysis for the major parameters is performed to specify their eVects on pro® ts. Results in this study allow us, ® rstly, to obtain explicit solutions simultaneously with respect to quality, price and advertising policies, secondly, to propose an appropriate algorithm for solving the diVerent scenarios of the dynamic pro® t function, which consists of the diVusion function and cost function, and thirdly, to enhance the long-term pro® t performance via the polices proposed herein, that is the approximation of the best solution. NomenclatureA…t † rate of advertising expenditure at time t C…x…t †; q…t † † total cost per unit at time t for a cumulative sales volume x…t † and quality level q…t † d price parameter h quality parameter M total number of potential purchasers over the life cycle of the product P…t † unit price at time t q…t † quality level at time t, 0 < q…t † 4 1 r discount rate T period of the life cycle x…t † cumulative sales volume by time t x 0 …t †ˆg…x…t †; p…t †; q…t †; A…t † †, sales rate at time t for a cumulative sales volume x…t †, price p…t †, quality level q…t † and advertising expenditure A…t † ¬ innovation coe cient reaction coe cient for advertising ® imitation coe cient

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Learning Curves, Production Rate, and Program Costs

Cited by 93 publications

References 9 publications

Robust Optimization for the Discrete Time-Cost Tradeoff Problem with Cost Uncertainty

Robust Optimization for the Discrete Time-Cost Tradeoff Problem with Cost Uncertainty

Putting the learning curve in context

Dynamic optimal control policy in advertising price and quality

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