A Review on the Dynamic Decision Models for Manufacturing and Supply Chain

Manufacturing sites are primarily dynamic, that is, production plans and schedules are usually affected by disturbances and environmental changes. On the other hand, the decision analysis models for engineering management must aim to represent reality with accuracy. Thus, the study of the dynamic models in the engineering management field is paramount. In this chapter, dynamic decision models for manufacturing and supply chain are discussed. First, an overall review of the deterministic dynamic models based on control theory and state representation is presented. After that, a set of models specifically applied to scheduling and production control is discussed in detail. A comparative analysis of these models is also presented, followed by some directions for future research.

[1]  Karl Johan Åström,et al.  Control: A perspective , 2014, Autom..

[2]  J. Forrester.  Industrial Dynamics: A Major Breakthrough for Decision Makers , 2012 .

[3]  Marija Bogataj,et al.  Optimal lotsizing within MRP Theory , 2010, Annu. Rev. Control..

[4]  Maurice Bonney,et al.  The application of discrete linear control theory to the analysis and simulation of multi-product, multi-level production control systems , 1987 .

[5]  G. N. Evans,et al.  Analysis and design of an adaptive minimum reasonable inventory control system , 1997 .

[6]  Chandra Lalwani,et al.  Controllable, observable and stable state space representations of a generalized order-up-to policy , 2006 .

[7]  S. D. Thompson,et al.  Production planning and control hierarchy using a generic controller , 1993 .

[8]  J. Little.  A Proof for the Queuing Formula: L = λW , 1961 .

[9]  Robert W. Grubbström,et al.  Further theoretical considerations on the relationship between MRP, input-output analysis and multi-echelon inventory systems , 1994 .

[10]  Denis Royston Towill,et al.  Dynamic analysis of an inventory and order based production control system , 1982 .

[11]  Jan-Wilhelm Breithaupt,et al.  Modelling and controlling the dynamics of production systems , 1999 .

[12]  Robert W. Grubbström,et al.  Safety production plans in MRP-systems using transform methodology , 1996 .

[13]  Christos D. Tarantilis,et al.  Dynamic modeling and control of supply chain systems: A review , 2008, Comput. Oper. Res..

[14]  Herbert J. Vassian.  Application of Discrete Variable Servo Theory to Inventory Control , 1955, Oper. Res..

[15]  M. Ortega,et al.  Control theory applications to the production–inventory problem: a review , 2004 .

[16]  Sven Axsäter,et al.  Simple Solution Procedures for a Class of Two-Echelon Inventory Problems , 1990, Oper. Res..

[17]  Ou Tang,et al.  An Overview of Input-Output Analysis Applied to Production-Inventory Systems , 2000 .

[18]  Fredrik Olsson,et al.  Heuristics for handling direct upstream demand in two-echelon distribution inventory systems , 2007 .

[19]  Denis Royston Towill,et al.  Assessing manufacturing system performance: Frequency response revisited , 1990 .

[20]  Deyi Xue,et al.  A heuristic for adaptive production scheduling and control in flow shop production , 2011 .

[21]  R. W. Grubbström,et al.  Intertemporal generalization of the relationship between material requirements planning and input-output analysis , 1992 .

[22]  B. D. Sivazlian,et al.  Dynamic analysis of multi-echelon supply systems , 1978 .

[23]  Zhixue Liu,et al.  Analysis and Design of a Production and inventory Control System for Ramp Demand , 2008, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.

[24]  W. L. Brogan,et al.  Modelling and optimal control of a production process , 1971 .

[25]  Peter Nyhuis,et al.  Logistic Production Operating Curves – Basic Model of the Theory of Logistic Operating Curves , 2006 .

[26]  H. Scarf.  THE OPTIMALITY OF (S,S) POLICIES IN THE DYNAMIC INVENTORY PROBLEM , 1959 .

[27]  John L. Burbidge,et al.  Production planning and control: A personal philosophy , 1985 .

[28]  Stephen M. Disney,et al.  Measuring and avoiding the bullwhip effect: A control theoretic approach , 2003, Eur. J. Oper. Res..

[29]  Li Zhou,et al.  Analysis of the effect of commonality in multi-level inventory systems applying MRP theory , 2004 .

[30]  Michel Ferney.  Modelling and controlling product manufacturing systems using bond-graphs and state equations: Continuous systems and discrete systems which can be represented by continuous models , 2000 .

[31]  Robert W. Grubbström,et al.  Further developments on safety stocks in an MRP system applying Laplace transforms and input–output analysis , 1999 .

[32]  Mohamed Mohamed Naim,et al.  Dynamic performance of a hybrid inventory system with a Kanban policy in remanufacturing process , 2006 .

[33]  A. S. White.  Management of inventory using control theory , 1999 .

[34]  Per Joakim Agrell,et al.  An MCDM framework for dynamic systems , 1996 .

[35]  Mohamed Mohamed Naim,et al.  Smoothing Supply Chain Dynamics , 1991 .

[36]  M. Lambrecht,et al.  Transfer function analysis of forecasting induced bullwhip in supply chains , 2002 .

[37]  Hafid Haffaf,et al.  BOND-GRAPHS FOR INFORMATION SYSTEMS , 2001 .

[38]  Mohamed Mohamed Naim,et al.  Dynamic analysis of a WIP compensated decision support system , 1994 .

[39]  Ramakrishna Desiraju,et al.  Performance Analysis of Flexible Manufacturing Systems with a Single Discrete Material-Handling Device , 1997 .

[40]  J. Bertrand,et al.  Operations management research methodologies using quantitative modeling , 2002 .

[41]  Sven Axsäter,et al.  Coordinating Control of Production-Inventory systems , 1976 .

[42]  S. Disney,et al.  A pragmatic approach to the design of bullwhip controllers , 2010 .

[43]  Robert W. Grubbström,et al.  THE AXSÄTER INTEGRATED PRODUCTION-INVENTORY SYSTEM INTERPRETED IN TERMS OF THE THEORY OF RELATIVELY CLOSED SYSTEMS , 1977 .

[44]  Sohyung Cho,et al.  Design of predictable production scheduling model using control theoretic approach , 2009 .

[45]  Sohyung Cho,et al.  Distributed adaptive control of production scheduling and machine capacity , 2007 .

[46]  G. N. Evans,et al.  Application of a simulation methodology to the redesign of a logistical control system , 1998 .

[47]  Denis Royston Towill,et al.  Genetic algorithm optimisation of a class of inventory control systems , 2000 .

[48]  B. Besombes,et al.  Bond-graphs for modelling of manufacturing systems , 1993, Proceedings of IEEE Systems Man and Cybernetics Conference - SMC.

[49]  H. Simon,et al.  On the Application of Servomechanism Theory in the Study of Production Control , 1952 .

[50]  Ludvik Bogataj,et al.  Stochastic considerations of Grubbström—Molinder model of MRP, input-output and multi-echelon inventory systems , 1996 .

[51]  Sven Axsäter.  Scaling down multi-echelon inventory problems , 2001 .

[52]  Jan-Wilhelm Breithaupt,et al.  Automatic production control applying control theory , 2000 .

[53]  Sven Axsäter.  Approximate Optimization of a Two-Level Distribution Inventory System , 2003 .

[54]  Vittaldas V. Prabhu,et al.  Nonlinear dynamics in distributed arrival time control of heterarchical manufacturing systems , 1999, IEEE Trans. Control. Syst. Technol..

[55]  Jean-Claude Hennet,et al.  A bimodal scheme for multi-stage production and inventory control , 2003, Autom..

[56]  S. Dembele,et al.  Proposition of manufacturing systems modelling by bond graphs , 1993, Proceedings of IEEE Systems Man and Cybernetics Conference - SMC.

[57]  Denis Royston Towill,et al.  A discrete transfer function model to determine the dynamic stability of a vendor managed inventory supply chain , 2002 .

[58]  Sven Axsäter,et al.  Control theory concepts in production and inventory control , 1985 .

[59]  Sohyung Cho,et al.  Control theoretic model using PID controller for just-in-time production scheduling , 2010 .

[60]  B. H. Sader,et al.  Deterministic and stochastic dynamic modeling of continuous manufacturing systems using analogies to electrical systems , 2003, Proceedings of the 2003 Winter Simulation Conference, 2003..

[61]  J. Boukachour,et al.  Bond graphs for robust modelling of manufacturing systems , 2004, Second IEEE International Conference on Computational Cybernetics, 2004. ICCC 2004..

[62]  Mohammed M. Naim,et al.  The System Simplification Approach in Understanding the Dynamic Behaviour of a Manufacturing Supply Chain , 1992 .

[63]  Jean-Claude Hennet.  A globally optimal local inventory control policy for multistage supply chains , 2009 .

[64]  R. W. Grubbström,et al.  A stochastic model of multi-level/multi-stage capacity-constrained production-inventory systems , 2003 .

[65]  Hans-Peter Wiendahl,et al.  Production planning and control on the basis of control theory , 1996, APMS.

[66]  B. Porter,et al.  Modal control of production-inventory systems using piecewise-constant control policies , 1974 .