Integration of control theory and scheduling methods for supply chain management
Computers & Chemical EngineeringPublished 18 June 2012
K.A. Subramanian, James B. Rawlings, Christos T. Maravelias, Jesus Flores‐Cerrillo, Lawrence Megan
Citations105
SJR quartileQ1
SJR score0.87
SNIP1.32
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
This paper develops a new cooperative MPC algorithm that is applicable to any stabilizable system, and in particular to supply chain models, and contrasts its performance and properties with other classical distributed operating policies.
Abstract
In this paper, we propose to use distributed model predictive control for supply chain optimization. In particular, we focus on inventory management in supply chains. We use cooperative model predictive control, in which each agent makes their local decisions by optimizing the overall supply chain objective. Motivated by recent results in Stewart, Wright, and Rawlings (2011), we develop a new cooperative MPC algorithm that is applicable to any stabilizable system, and in particular to supply chain models. We illustrate cooperative MPC for a two node supply chain example and compare its performance and properties with other classical distributed operating policies.
Keywords
Engineering
Journal of the American Statistical AssociationMarkov Decision Processes: Discrete Stochastic Dynamic Programming.
8,422 Citations1995Kasra Hazeghi, Martin L. Puterman
Markov Decision Processes covers recent research advances in such areas as countable state space models with average reward criterion, constrained models, and models with risk sensitive optimality criteria, and explores several topics that have received little or no attention in other books.
AutomaticaConstrained model predictive control: Stability and optimality
8,395 Citations2000D.Q. Mayne, James B. Rawlings +2 more
This review focuses on model predictive control of constrained systems, both linear and nonlinear, and distill from an extensive literature essential principles that ensure stability to present a concise characterization of most of the model predictive controllers that have been proposed in the literature.
IIE TransactionsScheduling: Theory, Algorithms, and Systems
6,281 Citations1996Michael Pinedo
Scheduling will serve as an essential reference for professionals working on scheduling problems in manufacturing and computing environments and Graduate students in operations management, operations research, industrial engineering and computer science will find the book to be an accessible and invaluable resource.
AutomaticaModel predictive control: Theory and practice—A survey
5,231 Citations1989Carlos E. García, David M. Prett +1 more
The flexible constraint handling capabilities of MPC are shown to be a significant advantage in the context of the overall operating objectives of the process industries and the 1-, 2-, and ∞-norm formulations of the performance objective are discussed.
Cambridge University Press eBooksA value for <i>n</i>-person games
5,046 Citations1988Lloyd S. Shapley
Control Engineering PracticeA survey of industrial model predictive control technology
4,917 Citations2003S. Joe Qin, Thomas A. Badgwell
An overview of commercially available model predictive control (MPC) technology, both linear and nonlinear, based primarily on data provided by MPC vendors are provided, with an emphasis on potential business and research opportunities.
Management ScienceInformation Distortion in a Supply Chain: The Bullwhip Effect
4,690 Citations1997Hau L. Lee, Vineet Padmanabhan +1 more
Mathematics in Science and Engineering/Mathematics in science and engineeringDynamic Noncooperative Game Theory
4,172 Citations1982
AutomaticaControl of systems integrating logic, dynamics, and constraints
3,025 Citations1999Alberto Bemporad, Manfred Morari
A predictive control scheme is proposed which is able to stabilize MLD systems on desired reference trajectories while fulfilling operating constraints, and possibly take into account previous qualitative knowledge in the form of heuristic rules.
Handbooks in operations research and management scienceSupply Chain Coordination with Contracts
2,683 Citations2003Gérard P. Cachon
This chapter extends the newsvendor model by allowing the retailer to choose the retail price in addition to the stocking quantity, and discusses an infinite horizon stochastic demand model in which the retailer receives replenishments from a supplier after a constant lead time.
International Journal of Operations & Production ManagementMeasuring supply chain performance
2,323 Citations1999Benita M. Beamon
An overview and evaluation of the performance measures used in supply chain models are presented and a framework for the selection of performance measurement systems for manufacturing supply chains is presented.
Computers & Chemical EngineeringModel predictive control: past, present and future
2,297 Citations1999Manfred Morari, Jay H. Lee
The Bullwhip Effect In Supply Chains 1
1,937 Citations1997Hau L. Lee, Vineet Padmanabhan +1 more
SIAM Journal on Applied MathematicsThe Nucleolus of a Characteristic Function Game
1,864 Citations1969David Schmeidler
International Journal of Production EconomicsSupply chain design and analysis:
1,820 Citations1998Benita M. Beamon
Management ScienceQuantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information
1,794 Citations2000Frank Chen, Zvi Drezner +2 more
University of Maribor digital library (University of Maribor)Introduction to Supply Chain Management
1,687 Citations1998Robert Handfield, Ernest L. Nichols
The role of Information Systems and Technology in Supply Chain Management and Sharing Risks in Interorganizational Relationships, and the "Greening" of the Supply Chain.
IEEE Transactions on Automatic ControlLinear systems with state and control constraints: the theory and application of maximal output admissible sets
1,550 Citations1991Éric Gilbert, Kok Tin Tan
Mathematical ProgrammingRobust optimization ? methodology and applications
1,393 Citations2002Aharon Ben‐Tal, Arkadi Nemirovski
The study reveals that the feasibility properties of the usual solutions of real world LPs can be severely affected by small perturbations of the data and that the RO methodology can be successfully used to overcome this phenomenon.
Management ScienceOptimal Policies for a Multi-Echelon Inventory Problem
1,278 Citations2004A. J. Clark, Herbert E. Scarf
Later in these notes I will describe the authors' collaboration on the multiechelon inventory problem in the spring of 1959, and describe the influence of Ralph Gomory and Ray Fulkerson on the development of combinatorial optimization.
Management ScienceOptimal Policies for a Multi-Echelon Inventory Problem
1,259 Citations1960A. J. Clark, Herbert E. Scarf
Journal of Process ControlArchitectures for distributed and hierarchical Model Predictive Control – A review
1,256 Citations2009Riccardo Scattolini
A classification of a number of decentralized, distributed and hierarchical control architectures for large scale systems is proposed and attention is focused on the design approaches based on Model Predictive Control.
Parallel and distributed computation
1,175 Citations1989Dimitri P. Bertsekas, John N. Tsitsiklis +1 more
Computers & Chemical EngineeringOptimization under uncertainty: state-of-the-art and opportunities
1,158 Citations2003Nikolaos V. Sahinidis
This paper reviews theory and methodology that have been developed to cope with the complexity of optimization problems under uncertainty and discusses and contrast the classical recourse-based stochastic programming, robust stochastics programming, probabilistic (chance-constraint) programming, fuzzy programming, and stochastically dynamic programming.
Computers & Chemical EngineeringA general algorithm for short-term scheduling of batch operations—I. MILP formulation
1,142 Citations1993E. Kondili, Constantinos C. Pantelides +1 more
Model Predictive Control
1,070 Citations2012D.Q. Mayne, Yutong Qi +1 more
Lecture notes in computer scienceMulti-Parametric Toolbox (MPT)
969 Citations2004Michal Kvasnica, P. Grieder +2 more
A Multi-Parametric Toolbox (MPT) for computing optimal or suboptimal feedback controllers for constrained linear and piecewise affine systems is under development at ETH.
IEEE Engineering Management ReviewThe bullwhip effect in supply chains
887 Citations2015Hau L. Lee, Vineet Padmanabhan +1 more
Mathematical Problems in EngineeringTheory and computation of disturbance invariant sets for discrete‐time linear systems
882 Citations1998Ilya Kolmanovsky, Elmer G. Gilbert
Computers & Chemical EngineeringDistributed model predictive control: A tutorial review and future research directions
853 Citations2012Panagiotis D. Christofides, Riccardo Scattolini +2 more
The goal is to not only conceptually review the results in this area but also to provide enough algorithmic details so that the advantages and disadvantages of the various approaches can become quite clear.
Computers & Chemical EngineeringState-of-the-art review of optimization methods for short-term scheduling of batch processes
796 Citations2006Carlos A. Méndez, Jaime Cerdá +3 more
The main goal of this paper is to provide an up-to-date review of the state-of-the-art in this challenging area of short-term batch scheduling, with a general classification for scheduling problems of batch processes as well as for the corresponding optimization models.
AutomaticaEquivalence of hybrid dynamical models
732 Citations2001W.P.M.H. Heemels, Bart De Schutter +1 more
This paper establishes equivalences among five classes of hybrid systems: mixed logical dynamical (MLD) systems, linear complementarity (LC) systems, extended linear complementarity (LC) systems, extended linear complementarity (ELC) systems, piecewise affine (PWA) systems, and maxmin-plus-scaling (MMPS) systems.
European Journal of Operational ResearchSupply chain management and advanced planning––basics, overview and challenges
699 Citations2004Hartmut Stadtler
This paper aims at extracting the essence ofSCM and advanced planning in the form of two conceptual frameworks: The house of SCM and the supply chain planning matrix.
European Journal of Operational ResearchMeasuring and avoiding the bullwhip effect: A control theoretic approach
674 Citations2003Jeroen Dejonckheere, Stephen Michael Disney +2 more
It is proved that the bullwhip effect is guaranteed in the order-up-to model irrespective of the forecasting method used, and a general decision rule is introduced that avoids variance amplification and succeeds in generating smooth ordering patterns, even when demand has to be forecasted.
Structural and Multidisciplinary OptimizationAdaptive weighted-sum method for bi-objective optimization: Pareto front generation
670 Citations2004Il Yong Kim, Olivier de Weck
This paper presents a new method that effectively determines a Pareto front for bi-objective optimization with potential application to multiple objectives by changing the weights adaptively rather than by using a priori weight selections and by specifying additional inequality constraints.
European Journal of Operational ResearchGame-theoretic analysis of cooperation among supply chain agents: Review and extensions
610 Citations2006Mahesh Nagarajan, Greys Sošić
International series in management science/operations research/International series in operations research & management scienceGame Theory in Supply Chain Analysis
578 Citations2004Gérard P. Cachon, Serguei Netessine
OmegaA multi-objective approach to simultaneous strategic and operational planning in supply chain design
571 Citations2000Ehap Sabri, Benita M. Beamon
An integrated multi-objective supply chain model is developed for use in simultaneous strategic and operational SC planning and will aid in the design of efficient, effective, and flexible supply chain systems and evaluation of competing SC networks.
Management ScienceCompetitive and Cooperative Inventory Policies in a Two-Stage Supply Chain
530 Citations1999Gérard P. Cachon, Paul Zipkin
Linear systems
520 Citations1997Panos J. Antsaklis, A.N. Michel
This text provides an introduction to systems theory with an emphasis on control theory, and its strong foundation in analysis and algebra enables the reader to easily move on to advanced topics in the systems area.
AIChE JournalEnterprise‐wide optimization: A new frontier in process systems engineering
516 Citations2005Ignacio E. Grossmann
IEEE Transactions on Automatic ControlA Lyapunov Function for Economic Optimizing Model Predictive Control
504 Citations2010Moritz Diehl, Rishi Amrit +1 more
For a class of nonlinear systems and economic stage costs, this technical note constructs a suitable Lyapunov function, and the optimal steady-state solution of the economic stage cost is an asymptotically stable Solution of the closed-loop system under economic MPC.
Systems & Control LettersCooperative distributed model predictive control
492 Citations2010Brett T. Stewart, Aswin N. Venkat +3 more
This paper establishes exponential stability of suboptimal model predictive control and shows that the proposed cooperative control strategy is in this class, and establishes that under perturbation from a stable state estimator, the origin remains exponentially stable.
Industrial & Engineering Chemistry ResearchDesign of Multi-echelon Supply Chain Networks under Demand Uncertainty
490 Citations2001Panagiotis Tsiakis, Nilay Shah +1 more
European Journal of Operational ResearchThe impact of information enrichment on the Bullwhip effect in supply chains: A control engineering perspective
456 Citations2003Jeroen Dejonckheere, Stephen Michael Disney +2 more
European Journal of Operational ResearchCoordination mechanisms of supply chain systems
451 Citations2006LI Xiu-hui, Qinan Wang
This paper provides a review of coordination mechanisms of supply chain systems in a framework that is based on supply chain decision structure and nature of demand, and highlights the behavioral aspects and information need in the coordination of a supply chain.
Naval Research Logistics (NRL)The impact of exponential smoothing forecasts on the bullwhip effect
448 Citations2000Frank Chen, Jennifer K. Ryan +1 more
Computers & Operations ResearchDynamic modeling and control of supply chain systems: A review
446 Citations2007Haralambos Sarimveis, Panagiotis Patrinos +2 more
The bottom line of this review is that a joint co-operation between control experts and supply chain managers has the potential to introduce more realism to the dynamical models and develop improved supply chain management policies.
Annual Reviews in ControlEconomic optimization using model predictive control with a terminal cost
402 Citations2011Rishi Amrit, James B. Rawlings +1 more
The stability analysis tools developed for terminal constraint economic MPC are extended to the proposed formulation and it is established that strict dissipativity is sufficient for guaranteeing asymptotic stability of the closed-loop system.
Operations ResearchInventory Control in a Fluctuating Demand Environment
382 Citations1993Jing-Sheng Song, Paul Zipkin
An inventory model, where the demand rate varies with an underlying state-of-the-world variable that can represent economic fluctuations, or stages in the product life-cycle, for example, is presented.
Computers & Chemical EngineeringProcess scheduling under uncertainty: Review and challenges
369 Citations2007Zukui Li, Marianthi Ierapetritou
The purpose of this paper is to review the main methodologies that have been developed to address the problem of uncertainty in production scheduling as well as to identify the main challenges in this area.
Computers & Chemical EngineeringIntegration of production planning and scheduling: Overview, challenges and opportunities
369 Citations2009Christos T. Maravelias, Charles Sung
The integration of medium-term production planning and short-term scheduling is reviewed, and the major modeling approaches for the integration of scheduling and planning decisions are presented.
Computers & Chemical EngineeringProcess industry supply chains: Advances and challenges
363 Citations2005Nilay Shah
The state of the art of research in infrastructure design, modelling and analysis and planning and scheduling is described, together with some industrial examples, and challenges for the future are discussed.
Mathematics of Operations ResearchAn Inventory Model with Limited Production Capacity and Uncertain Demands II. The Discounted-Cost Criterion
345 Citations1986Awi Federgruen, Paul Zipkin
This paper considers a single-item, periodic-review inventory model with uncertain demands, and shows under a few additional unrestrictive assumptions that a modified basic-stock policy is optimal under the discounted cost criterion, both for finite and infinite planning horizons.
Computers & Chemical EngineeringA general algorithm for short-term scheduling of batch operations—II. Computational issues
338 Citations1993Nilay Shah, Constantinos C. Pantelides +1 more
A variety of techniques that exploit the characteristics of the problem in order to reduce the amount of computation required are described, including reformulation of some of the constraints, derivation of an alternative and much more compact linear programming relaxation of the MILP, and reduction of the non-integrality of the solutions of relaxed LPs through their a posteriori analysis.
International Journal of Production ResearchDynamic analysis of an inventory and order based production control system
336 Citations1982D.R. Towill
Lecture notes in control and information sciencesAssessment and Future Directions of Nonlinear Model Predictive Control
327 Citations2007Rolf Findeisen
Theoretical Aspects of NMPC,Robustness, Robust Design, and Uncertainty, and State Estimation and Output Feedback are studied.
Operations ResearchComputational Issues in an Infinite-Horizon, Multiechelon Inventory Model
325 Citations1984Awi Federgruen, Paul Zipkin
It is shown that, under certain conditions, this problem can be closely approximated by a model with one such location and both a near-optimal policy and a good approximation of the cost of the system.
Computers & Chemical EngineeringSupply chain optimisation for the process industries: Advances and opportunities
325 Citations2009Lazaros G. Papageorgiou
A critical review of methodologies for enhancing the decision-making for process industry supply chains towards the development of optimal infrastructures and planning and the presence of uncertainty within supply chains is discussed.
Journal of Process ControlCoordinating multiple optimization-based controllers: New opportunities and challenges
322 Citations2008James B. Rawlings, Brett T. Stewart
Computers & Chemical EngineeringA model predictive control strategy for supply chain optimization
322 Citations2003Edgar Perea-López, B. Erik Ydstie +1 more
The paper compares the behavior of a supply chain under centralized and decentralized management approaches, and shows that the former yields better results, with profit increases of up to 15% as shown in an example problem.
Management ScienceOptimality of (<i>s</i>, <i>S</i>) Policies in the Infinite Horizon Dynamic Inventory Problem
289 Citations1963Donald L. Iglehart
International Journal of Production EconomicsSmoothing supply chain dynamics
280 Citations1991Joakim Wikner, D.R. Towill +1 more
A combination of analysis and simulation can be used to gain a far deeper understanding of the system dynamics than has so far been published, and it is shown that by better utilisation of the information flow, significant reductions in the demand amplification can be achieved without substantial expenditure.
SIAM Journal on Applied MathematicsOn the Opimality of $( {s,S} )$ Inventory Policies: New Conditions and a New Proof
277 Citations1966Arthur F. Veinott
Operations ResearchOptimality of (<i>s</i>, <i>S</i>) Policies in Inventory Models with Markovian Demand
265 Citations1997Suresh Sethi, Feng Cheng
Computers & Chemical EngineeringDesign of responsive supply chains under demand uncertainty
263 Citations2008Fengqi You, Ignacio E. Grossmann
Mathematical ProgrammingA Class of stochastic programs with decision dependent uncertainty
248 Citations2006Vikas Goel, Ignacio E. Grossmann
This work presents a hybrid mixed-integer disjunctive programming formulation for the stochastic program corresponding to this class of problems and hence extends the Stochastic programming framework.
AutomaticaAccelerated gradient methods and dual decomposition in distributed model predictive control
247 Citations2013Pontus Giselsson, Minh Dang Doan +3 more
The evaluation shows that the proposed distributed optimization algorithm for mixed L"1/L"2-norm optimization based on accelerated gradient methods using dual decomposition can outperform current state-of-the-art optimization software CPLEX and MOSEK.
System Dynamics Modelling In Supply Chain Management: Research Review
246 Citations2007Bernhard J. Angerhofer, Mados C. Angelides +4 more
Mathematics of Operations ResearchAn Inventory Model with Limited Production Capacity and Uncertain Demands I. The Average-Cost Criterion
243 Citations1986Awi Federgruen, Paul Zipkin
Annual Reviews in ControlModel predictive control techniques for hybrid systems
243 Citations2010Eduardo F. Camacho, D.R. Ramı́rez +3 more
The main issues encountered when applying model predictive control to hybrid processes are described and some of the techniques proposed by the research community to overcome the main problems encountered are described.
Annals of Operations ResearchInteger-Programming Software Systems
224 Citations2005Alper Atamtürk, Martin Savelsbergh
The major algorithmic components of state-of-the-art solvers are reviewed and the options available to users for adjusting the behavior of these solvers when default settings do not achieve the desired performance level are discussed.
Handbooks in operations research and management scienceChapter 3 Centralized planning models for multi-echelon inventory systems under uncertainty
223 Citations1993Awi Federgruen
This chapter focuses on the PUSH systems with a central decision maker, who possesses continuously or periodically updated information about all inventories of all products at all relevant facilities and production stages; all replenishment decisions in the system are determined centrally based on this information.
INFOR Information Systems and Operational ResearchGame Theoretic Applications in Supply Chain Management: A Review
219 Citations2005Mingming Leng, Mahmut Parlar
International Journal of Systems ScienceModelling the dynamics of supply chains
219 Citations2000C.E. Riddalls, Stuart Bennett +1 more
A judgement is made on whether the merits of operational research techniques justify their predominance in industry over the other methods presented here.
International Journal of Production ResearchControl theory applications to the production–inventory problem: a review
218 Citations2004Manuel G. Ortega, Li Lin
This review identifies some major research efforts for applying control theoretic methods to production–inventory systems and shows that in general, control theory is applied to reduce inventory variation, reduce demand amplification and optimize ordering rules.
Industrial & Engineering Chemistry ResearchPlanning and Scheduling under Uncertainty: A Review Across Multiple Sectors
213 Citations2010Peter M. Verderame, Josephine A. Elia +2 more
This paper provides an overview of the key contributions within the planning and scheduling communities with specific emphasis on uncertainty analysis, and is the first work which attempts to provide a comprehensive description of two-stage stochastic programming and parametric programming.
Management ScienceThe Price of Anarchy in Supply Chains: Quantifying the Efficiency of Price-Only Contracts
210 Citations2007Georgia Perakis, Guillaume Roels
This paper quantifies the efficiency of decentralized supply chains that use price-only contracts, and measures efficiency with the price of anarchy (PoA), defined as the largest ratio of profits between the integrated supply chain and the decentralized supply chain.
AIChE JournalSequential and iterative architectures for distributed model predictive control of nonlinear process systems
210 Citations2010Jinfeng Liu, Xianzhong Chen +2 more
A distributed predictive control approach to building temperature regulation
185 Citations2011Yudong Ma, G. E. Anderson +1 more
SIAM Journal on Control and OptimizationAnalysis and Design of Unconstrained Nonlinear MPC Schemes for Finite and Infinite Dimensional Systems
183 Citations2009Lars Grüne
The insight obtained from the numerical solution of this problem is derived and design guidelines for nonlinear MPC schemes which guarantee stability of the closed loop for small optimization horizons are derived.
Operations ResearchOptimal Policies for Multiechelon Inventory Problems with Markov-Modulated Demand
181 Citations2001Fangruo Chen, Jing-Sheng Song
The paper shows that the optimal policy is an echelon base-stock policy with state-dependent order-up-to levels, which can be extended to serial systems in which there is a fixed ordering cost at stage N and to assembly systems with linear ordering costs.
AIChE JournalGeneral framework and modeling approach classification for chemical production scheduling
178 Citations2012Christos T. Maravelias
Optimal Control Applications and MethodsDistributed model predictive control based on a cooperative game
177 Citations2010J. M. Maestre, David Muñoz de la Peña +1 more
This work provides sufficient conditions that guarantee practical stability of the closed‐loop system as well as an optimization‐based procedure to design the controller so that these conditions are satisfied.
AIChE JournalSteady states and constraints in model predictive control
172 Citations1999Christopher V. Rao, James B. Rawlings
A strategy for handling inequality constraints active at steady state is presented by projecting the system onto the active constraints under the finite horizon parameterization of the input, as well as an algorithm for constructing the optimal linear feedback law that constrains the system to the active constraint.
Journal of Process ControlCooperative distributed model predictive control for nonlinear systems
163 Citations2010Brett T. Stewart, Stephen J. Wright +1 more
A novel nonlinear nonconvex optimizer is proposed that improves the objective function and is feasible at every iterate and hence the controller is truly distributed.
Operations ResearchAllocation of Cost Savings in a Three-Level Supply Chain with Demand Information Sharing: A Cooperative-Game Approach
157 Citations2008Mingming Leng, Mahmut Parlar
This work analytically calculates the expected cost incurred by the manufacturer and uses simulation to obtain expected costs for the distributor and the retailer, and constructs a three- person cooperative game in characteristic-function form and derives necessary conditions for the stability of each of five possible coalitions.
Computers & Chemical EngineeringA bilevel programming framework for enterprise-wide process networks under uncertainty
155 Citations2003Jun-Hyung Ryu, Vivek Dua +1 more
This paper addresses bilevel decision-making problems under uncertainty in the context of enterprise-wide supply chain optimization with one level corresponding to a plant planning problem, while the other to a distribution network problem with an effective solution strategy based on parametric programming techniques.
Computers & Chemical EngineeringDynamic modeling and classical control theory for supply chain management
152 Citations2000Edgar Perea, Ignacio E. Grossmann +2 more
A novel dynamic approach for supply chain management based on the development of a dynamic framework to model supply chains, and on the application of ideas from process dynamics and control to manage it is proposed.
Introduction to Supply Chain Management
147 Citations2013Christian Alexander Ullrich
A decentralized algorithm for robust constrained model predictive control
145 Citations2004Arthur Richards, Jonathan P. How
A decentralized formulation is presented for model predictive control of systems with coupled constraints, where if an initial feasible plan can be found, then all subsequent optimizations are guaranteed to be feasible, and hence the constraints will be satisfied, despite the action of unknown but bounded disturbances.
IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)Information Sharing as a Coordination Mechanism for Reducing the Bullwhip Effect in a Supply Chain
145 Citations2007Thierry Moyaux, Brahim Chaib-draa +1 more
Two principles explaining how to use the shared information to reduce the amplification of order variability induced by lead times are described, which are proposed as a cause of the bullwhip effect.
Journal of Process ControlDistributed model predictive control based on agent negotiation
142 Citations2011J. M. Maestre, David Muñoz de la Peña +2 more
This paper considers the control of several subsystems coupled through the inputs by a set of independent agents that are able to communicate along with an optimization based design procedure that is based on the full model of the system.
European Journal of Operational ResearchAnalyzing the effect of the inventory policy on order and inventory variability with linear control theory
141 Citations2006Kai Hoberg, James R. Bradley +1 more
Management ScienceNewsvendor Bounds and Heuristic for Optimal Policies in Serial Supply Chains
141 Citations2003Kevin Shang, Jing-Sheng Song
A simple and surprisingly good heuristic is developed to identify the key determinants of the optimal policy of an echelon base-stock policy in classic N-stage serial supply systems with linear costs and stationary random demands.
Computers & Chemical EngineeringChallenges of strategic supply chain planning and modeling
139 Citations2003Jeremy F. Shapiro
The increasing number of applications of supply chain network optimization models to strategic planning has created new challenges for model practitioners and their clients, which are discussed in the context of four categories of modeling and organizational imperatives.
Computers & Chemical EngineeringA stochastic programming approach for clinical trial planning in new drug development
138 Citations2007Matthew Colvin, Christos T. Maravelias
The paper presents a multi-stage stochastic programming formulation for the planning of clinical trials in the pharmaceutical research and development (R&D) pipeline that employs a reduced set of scenarios without compromising the quality of uncertainty representation.
…