Journal ArticleDOI
Controllable, observable and stable state space representations of a generalized Order-Up-To policy
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TLDR
In this article, a framework for developing state space representations of production and inventory control policies from their transfer functions is presented, where the particular replenishment rules that are considered are members of the inventory and order based production control system family that have been shown to be a generalization of the periodic review Order-Up-To policy.About:
This article is published in International Journal of Production Economics.The article was published on 2006-05-01. It has received 93 citations till now. The article focuses on the topics: State space & Observable.read more
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Dynamic modeling and control of supply chain systems: A review
TL;DR: 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.
Journal ArticleDOI
A survey on control theory applications to operational systems, supply chain management, and Industry 4.0
TL;DR: This study describes important issues and perspectives that delineate dynamics in supply chains, operations, and Industry 4.0 networks and identifies and systemizes different streams in the application of control theory to operations and supply chain management and engineering in the period from 1960–2018.
Journal ArticleDOI
On the Bullwhip Avoidance Phase: supply chain collaboration and order smoothing
TL;DR: In this article, the impact of collaboration and smoothing replenishment rules on supply chain operational performance and customer service level is assessed for three supply chain configurations (i.e., traditional, information exchange and synchronised) in which orders are generated by smoothing (S, R) inventory control policies for different proportional controllers.
Journal ArticleDOI
Forecasting for inventory planning: a 50-year review
TL;DR: The relevant literature is reviewed and synthesized to promote some convergence between different approaches to inventory forecasting and planning and concludes with an inter-disciplinary agenda for further research.
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A review of the causes of bullwhip effect in a supply chain
TL;DR: A review of the past research studies on the causes of bullwhip effect is presented in this paper, where the authors identified the various gaps of research in the past studies and provided an overview of the steps taken by the industries in order to tackle the bull whip effect.
References
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Book
Modern control engineering
TL;DR: This comprehensive treatment of the analysis and design of continuous-time control systems provides a gradual development of control theory and shows how to solve all computational problems with MATLAB.
Book
Control Systems Engineering
TL;DR: Nise applies control systems theory and concepts to current real-world problems, showing readers how to build control systems that can support today's advanced technology.
Journal ArticleDOI
Measuring and avoiding the bullwhip effect: A control theoretic approach
TL;DR: In this paper, a general decision rule is introduced that avoids variance amplification and succeeds in generating smooth ordering patterns, even when demand has to be forecasted, regardless of the forecasting method used.
Production, Manufacturing and Logistics Measuring and avoiding the bullwhip effect: A control theoretic approach
TL;DR: 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.