Operations Research in Production Planning and Control: Proceedings of a Joint German/US Conference, Hagen, Germany, June 25–26, 1992. Under the Auspices of Deutsche Gesellschaft für Operations Research (DGOR), Operations Research Society of America (ORSA PDF
Preview Operations Research in Production Planning and Control: Proceedings of a Joint German/US Conference, Hagen, Germany, June 25–26, 1992. Under the Auspices of Deutsche Gesellschaft für Operations Research (DGOR), Operations Research Society of America (ORSA
Gunter Fandel· Thomas Gulledge Albert Jones (Eds.) Operations Research in Production Planning and Control Proceedings of a Joint German/US Conference, Hagen, Germany, June 25-26, 1992 Under the Auspices of Deutsche Gesellschaft flir Operations Research (DGOR), Operations Research Society of America (ORSA) . With 152 Figures Springer-Verlag Berlin Heidelberg New York London Paris Tokyo Hong Kong Barcelona Budapest Prof. Dr. Gunter Fandel, Institute of Production Management Femuniversitat Hagen, FeithstraBe 140/ AV Z II D-5800 Hagen, FRG Prof. Dr. Thomas Gulledge, The Institute of Public Policy George Mason University, 4400 University Drive Fairfax, Virginia 22030-444, USA Dr. Albert Jones, AMFR, NIST B 124 Metrology, Gaithersburg, Maryland 20899, USA ISBN-13: 978-3-642-78065-3 e-ISBN-13: 978-3-642-78063-9 001: I 0.1 007/978-3-642-78063-9 This work is subject to copyright. All rights are reserved, whether the whole or part oft he material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broad casting, reproduction on microfilms or in other ways, and storage in data banks. Duplication of this publication or parts thereof is only permitted under the provisions ofthe German Copyright Law of September 9, 1965, in its version of June 24, 1985, and a copyright fee must always be paid. Violations fall under the prosecution act of the German Copyright Law. © Springer-Verlag Berlin· Heidelberg 1993 Softcover reprint of the hardcover I st edition 1993 The use ofr egistered names, trademarks, 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 regulati ons and therefore free for general use. 2142/7130-543210 -Printed on acid-free paper Preface This proceedings volume contains selected and refereed contributions that were presented at the conference on "Recent Developments and New Perspectives of Operations Research in the Area of Production Planning and Control" in Hagen/Germany, 25. -26. June 1992. This conference was organized with the cooperation of the FernuniversiHit Hagen and was jointly hosted by the "Deutsche Gesellschaft fur Operations Research (DGOR)" and the "Manufacturing Special Interest Group of the Operations Research Society of America (ORSA-SIGMA)". For the organization of the conference we received generous financial support from the sponsors listed at the end of this volume. We wish to express our appreciation to all supporters for their contributions. This conference was the successor of the JOInt ORSA/DGOR-conference in Gaithersburg/Maryland, USA, on the 30. and 31. July 1991. Both OR-societies committed themselves in 1989 to host joint conferences on special topics of interest from the field of operations research. This goal has been successfully realized in the area of production management; and it should be an incentive to conduct similar joint conferences on other topics of operations research in the years to come. The 36 contributions in this proceedings volume deal with general and special problems in production planning as well as approaches and algorithms for their solution. They cover a wide range of operations research within product management and will therefore address a wide circle of interested readers among OR-scientists and professionals alike. Last, but not least, we would like to thank all who have shared efforts to make this conference a success. In particular Lioba Lanwer, Peter Fran'$ois and Dr. Richard Lackes are recognized for their help in organizing and conducting the conference. We thank also Prof. Dr. Wolfgang Buhler and Prof. Dr. Lothar Streitferdt of the DGOR for initiating this joint venture of DGOR and ORSA. Gunter Fandel, General Chairperson, DGOR Thomas Gulledge, Co-Program Chairperson, ORSA-SIGMA AI Jones, Co-Program Chairperson, NIST TABLE OF CONTENTS I. General Planning and Modelling Approaches Planning Product Assortment Using Portfolio Optimization 3 Charles V. Trappey, Amy J. C. Trappey and Richard Feinberg Rapid Modeling: The Use of Queueing Models to Support 21 Time-Based Competitive Manufacturing Rajan Suri and Suzanne de Treville Process Network Theory and Implementation for 31 Technology Assessment in Manufacturing R. Lal Tummala, Bruce E. Koenig and Herman E. Koenig Is Lean Production Really Lean? 49 The Design of a Lean Production System Joachim Reese The Performance of Kanban Controlled Serial 71 Production Systems John A. Buzacott, Suzanne M. Price and J. George Shanthikumar Capacity Oriented Production Control for a 89 Job Shop Production Karl-Werner Hansmann On Solving a Large-Scale Resource Allocation Problem 105 in Production Planning Christof Dillenberger, Laureano F. Escudero, Artur Wollensak and Wu Zhang Integrated Station Location and Flow Network Design 120 for Manufacturing Systems Layout Dilip Chhajed. Timothy J. Lowe and Benoit Montreuil Using Optimization Model to Control workpiece 138 Rigidity and Deformation in Workholding to Achieve Precision Machining Amy J. C. Trappey, Parag Gupta and C. Richard Liu A New Approach to Determine the Pose and Dimension 151 of Polygonal Shapes Jose A. Ventura and Jen-Ming Chen VIII II. Flexible Manufacturing Systems Problems of Modelling and FMS Control Implementation 169 Janez Dekleva and Matjaz Gaberc Formal Models for Control of Flexible Manufacturing 184 Systems Sanjay Joshi, Jeffrey S. Smith and Richard A. Wysk Candidate Rule Selection to Develop Intelligent 201 Scheduling Aids for Flexible Manufacturing Systems (FMS) Yuehwern Yih and Albert T. Jones Tool Blocking in Flexible Manufacturing Systems 218 Ulrich A. W. Tetzlaff III. PPC and CIM Architectural Framework for Integrated Production 235 Control Systems August-Wilhelm Scheer A New Conceptual Framework for Hierarchically 246 Integrated PPS-Systems Christoph SchneeweiB Issues in Specifying Planning Horizons for Production 270 Planning within elM Environments S. D. Thompson, J. A. Jewell and Wayne J. Davis IV. Scheduling A Closed Loop Control Heuristic for Scheduling a 293 Manufacturing System Subject to Random Setup Times Mitchell H. Burman and Stanley B. Gershwin Resource- and Time Window-Constraint Production 307 Scheduling with Alternative Process Plans: An Artificial Intelligence Approach Andreas Drexl and Arno Sprecher Robust Scheduling and Game-Theoretic Control for 321 Short-Term Scheduling of Job-Shops Victor Jorge Leon, S. David Wu and Robert H. Storer The Two-Stage Hybrid-Flowshop Scheduling Problem 336 with Sequence-Dependent Setup Times Stefan VoB IX Shop-Floor Scheduling and Control: A Systems Approach 353 Richard A. Wysk, Richard J. Hayer, Hyuenbo Cho, Sanjay Joshi, Jeffrey Smith, Walter Hoberecht, C. Dennis Pegden and Albert L. Jones Spatially-Oriented Production Planning and Scheduling 371 Uwe Petersen V. Lot-Sizing and Inventory Control Models for Integrated Inventory Control by EDI for 389 A Single Supplier and Multiple Buyers Avijit Banerjee and Snehamay Banerjee Optimal Inventory Policy in Assembly Systems with 405 Component Commonality Srinivas Bollapragada and Ram Akella Valuation of Leadtime Reduction in Multi-Stage 413 Production Systems Karl Inderfurth Nervousness and Reorder Policies in Rolling Horizon 428 Environments Thomas Jensen Some Valid Constraints for the Capacitated 444 Assembly Line Lotsizing Problem Heinz D. Hathes DLSP for Multi-Item Batch Production 459 Wolfgang Bruggemann and Hermann Jahnke Information Production Functions in Dynamic Lot-Sizing 473 Gunter Fandel and Peter Fran90is VI. Quality How Much Quality Is Enough? 499 James R. Dorroh, Thomas R. Gulledge and Norman K. Womer Decision Methodology for Product Quality in Flow 511 Lines Layek Abdel-Halek and Xiuli Chao x VII. Neural Networks and Genetic Algorithms Multiple-Step-Ahead Prediction by Hierarchical 529 Neural Networks Tep Sastri Integrating Neural Nets, Simulation, and Genetic 550 Algorithms for Real-Time Scheduling Albert Jones and Luis Rabelo A Genetic Algorithm for Scheduling with Resource 567 Consumption Timothy Starkweather, Darrell Whitley and Bud Cookson Genetic Algorithms in Problem Space for Sequencing 584 Problems Robert H. Storer, S. David Wu and InKyoung Park List of Sponsors 598 I. General Planning and Modelling Approaches Planning Product Assortment Using Portfolio Optimization Charles V. Trappey Department of Consumer Sciences and Retailing Purdue University, W. Lafayette, In 47907, USA Amy J. C. Trappey Department of Industrial & Manufacturing Systems Engineering Iowa State University, Ames, Ia 50011, USA Richard Feinberg Department of Consumer Sciences and Retailing Purdue University, W. Lafayette, In 47907, USA Abstract The task of planning product assortments using portfolio optimization is developed and applied to a case in apparel manufacturing and distribution. The planning process begins with the retail buyer, the key individual in the organization that selects merchandise for resale to the consumer. In order to maximize the profit and minimize the risk of the merchandise investment, the retail buyer must simultaneously consider many different factors that impact the merchandise mix decision. A merchandise planning model is developed for the retail buyer based on the concept of stock portfolio theory. The investment returns and risks are considered to determine the product assortment. A retrospective statistical test is conducted to verify the goodness of the product assortment portfolio model. The methodology, developed for a large Midwest retailer, can be extended to a wide variety of cases in manufacturing, especially cases involving the production of consumer products. Key Wonk Merchandise assortment planning, portfolio theory, product life cycle. 1. Introduction This research introduces the use of investment portfolio theory to optimize two merchandise investment planning decisions. The first decision is the merchandise item selection. Given a set of n items available for investment, find m items to form a maximum profit, minimum risk merchandise assortment (Figure 1). The selection criteria are based upon the buyer's purchase objectives and evaluation of risk and returns. The second decision is the item percentage decision.
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