The Behavior of a Co-flow structure to Screen Projects in a Product Pipeline

In many situations, System Dynamics modelers have to capture attributes of items tracked in an aging chain by means of a co-flow. This study presents an application of co-flows in aging chains: A co-flow that enables the process of screening, i.e. the process of either terminating or approving projects. The article is the fifth in a series of articles about the model. An application to Product Pipeline Management (PPM) is developed. A two-stage product development pipeline was modeled with a co-flow structure that tracks the number of projects and the related net present value of payoff. Managers at each stage must decide on capacity utilization and thresholds for minimum value of projects. Simulation results illustrate that screening can eliminate the backlog bullwhip effect in the pipeline.

[1]  Gintaras V. Reklaitis,et al.  Simulation-optimization framework for stochastic optimization of R&D pipeline management , 2003 .

[2]  R. Calantone,et al.  Escalation of commitment during new product development , 2002 .

[3]  X. L. Travassos,et al.  The Effect of Longer Development Times on Product Pipeline Management Performance , 2015 .

[4]  Selen Cremaschi,et al.  Heuristic solution approaches to the pharmaceutical R&D pipeline management problem , 2015, Comput. Chem. Eng..

[5]  D. Morrice,et al.  The “physics” of capacity and backlog management in service and custom manufacturing supply chains , 2005 .

[6]  Mitzi M. Montoya,et al.  Exploring New Product Development Project Review Practices , 2009 .

[7]  Paulo S. Figueiredo,et al.  Enhancing New Product Development (NPD) Portfolio Performance by Shaping the Development Funnel , 2012 .

[8]  Christos T. Maravelias,et al.  R&D pipeline management: Task interdependencies and risk management , 2011, Eur. J. Oper. Res..

[9]  Steffen Bayer,et al.  Business dynamics: Systems thinking and modeling for a complex world , 2004 .

[10]  Sara J. Ortiz-Cantú,et al.  Gestión estratégica de la tecnología en el predesarrollo de nuevos productos , 2008 .

[11]  Paulo S. Figueiredo,et al.  SCREENING ITEMS IN AN AGING CHAIN WITH A CO-FLOW STRUCTURE: AN APPLICATION TO THE PRODUCT PIPELINE MANAGEMENT PROBLEM , 2014 .

[12]  D. Sterman,et al.  Misperceptions of Feedback in a Dynamic Decision Making Experiment , 1989 .

[13]  Marcel Groten,et al.  Human Factors in Supply Chain Management - Decision Making in Complex Logistic Scenarios , 2013, HCI.

[14]  Robert G. Cooper,et al.  Portfolio Management for New Products (Управление портфелем новых продуктов) , 1998 .

[15]  Karl T. Ulrich,et al.  Product Design and Development , 1995 .

[16]  Elisabeth Loiola,et al.  The Nature and Role of Complexity in Simulation Performance: The Case of Multi-Stage New Product Screening , 2014, Int. J. Syst. Dyn. Appl..

[17]  J. D. T. Oliveira,et al.  The Asymptotic Theory of Extreme Order Statistics , 1979 .

[18]  Karl T. Ulrich,et al.  Innovation Tournaments: Creating and Selecting Exceptional Opportunities , 2009 .

[19]  Rogelio Oliva,et al.  Cutting Corners and Working Overtime: Quality Erosion in the Service Industry , 2001, Manag. Sci..

[20]  Karl T. Ulrich,et al.  Special Issue on Design and Development: Product Development Decisions: A Review of the Literature , 2001, Manag. Sci..

[21]  Sérgio Luis da Silva,et al.  Integration in New Product Development: Case Study in a Large Brazilian High-Technology Company , 2012 .

[22]  Gary P. Pisano,et al.  Do managers' heuristics affect R&D performance volatility? A simulation informed by the pharmaceutical industry , 2006 .

[23]  Elisabeth Loiola,et al.  Gestão de ativos de Propriedade Intelectual: um estudo sobre as práticas da Braskem S.A. , 2013 .

[24]  E. Gumbel,et al.  Statistics of extremes , 1960 .

[25]  A. Griffin PDMA Research on New Product Development Practices: Updating Trends and Benchmarking Best Practices , 1997 .

[26]  Steven C. Wheelwright,et al.  Managing New Product and Process Development , 1993 .

[27]  T. Fujimoto,et al.  The Effect of “ Front-Loading ” Problem-Solving on Product Development Performance , 2000 .

[28]  S. Hohmann The Bullwhip Effect in Supply Chains , 2014 .

[29]  Steven C. Wheelwright,et al.  Revolutionizing Product Development: Quantum Leaps in Speed, Efficiency and Quality , 1992 .

[30]  Paul S. Adler,et al.  From project to process management: an empirically-based framework for analyzing product development time , 1995 .

[31]  W. Hopp,et al.  The Project Portfolio Management Problem , 2002 .

[32]  Ely Dahan,et al.  An Extreme-Value Model of Concept Testing , 2001 .

[33]  C. Terwiesch,et al.  MANAGING THE RISK OF DEVELOPMENT FAILURES: A STUDY OF LATE-STAGE FAILURES IN THE PHARMACEUTICAL INDUSTRY , 2005 .

[34]  R. Baumeister,et al.  When ego threats lead to self-regulation failure: negative consequences of high self-esteem. , 1993, Journal of personality and social psychology.

[35]  Gintaras V. Reklaitis,et al.  An XML-based language for the Research & Development pipeline management problem , 2003, Comput. Chem. Eng..

[36]  N. Joglekar,et al.  Dynamics of Project Screening in a Product Development Pipeline , 2007 .