<i>Automatic Feedback Control System Synthesis</i>

Truxal, John G.; Weinberg, Louis

doi:10.1063/1.3062102

Cited by 290 publications

(81 citation statements)

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“…In studying system dynamic behaviour, it is usual to start with exploring the response to simple deterministic inputs. This is true for both simulation studies (Forrester, 1958) and analytic approaches (Truxal, 1955). The former firstly exploited analogue computation based on expressing the problem in terms of the principles of integration (Johnson, 1956), and latterly, (now exclusively) via digital computation, such as the Bullwhip Explorer (Lambrecht and Dejonckheere and, 1999).…”

Section: Exploring the Step Responsementioning

confidence: 99%

“…The former firstly exploited analogue computation based on expressing the problem in terms of the principles of integration (Johnson, 1956), and latterly, (now exclusively) via digital computation, such as the Bullwhip Explorer (Lambrecht and Dejonckheere and, 1999). The analysis route utilised either classical methods (Piaggio, 1954), or more likely the Laplace Transform approach (Truxal, 1955). After falling out of favour with the advent of inexpensive and powerful simulation methods such as iThink©, there has been a recent resurgence of interest now that the associated algebra can be readily solved via computer software such as Matlab© and Mathematica©.…”

Section: Exploring the Step Responsementioning

confidence: 99%

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A pragmatic approach to the design of bullwhip controllers

Zhou¹,

Disney

Towill

2010

International Journal of Production Economics

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It is well known that forecasting mechanisms can greatly increase "bullwhip" -demand variance amplification of orders as processed by both human and algorithmic decision makers. This paper is concerned with the application of the well established APIOBPCS Decision Support System (a variant of the Order-Up-To Rule) in such circumstances. It has two feedback controls (based on the inventory and the ordersin-pipeline respectively) with gains set equal according to the Deziel-Eilon Rule.There is one feed-forward control based on exponential forecasting, although this is not a restriction on the application of this system.We consider the pragmatic role of APIOBPCS in the situation where the echelon decision maker may be handling a wide range of SKU's in a non-altruistic environment where upmarket information may either be withheld or simply unavailable. Under such circumstances it has been established via site-based studies that the decision makers output (the orders) reflect a wide range of strategies (or maybe ignorance). Three strategies may be regarded as "appropriate", i.e. Passorders-Along; Demand Smoothing; and Level Scheduling depending, on context. APIOBPCS can be adapted to each of these modus operandi. In the first case with the added capability of smoothing the "sharp edges" with a modicum of inventory variation, and in the last case with the advantage of built-in trend detection."Players" in non-altruistic supply chains must be able to cope with added uncertainties due to lead-time variations. We show that APIOBPCS may be well matched to such situations and is hence "copable" as well as "capable". The paper includes recommended parameter settings according to desired decision-making policies.

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Section: Exploring the Step Responsementioning

confidence: 99%

Section: Exploring the Step Responsementioning

confidence: 99%

A pragmatic approach to the design of bullwhip controllers

Zhou¹,

Disney

Towill

2010

International Journal of Production Economics

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show abstract

“…which also may be written a s follows: Now to effect a root locus study (12,46), which is a technique that will permit graphical representation of the Laplace Transformed time behavior of the flux for a given equilibrium flux level, equation (5-42) Sirice the leakage term, v26@', is intrinsically negative (i. e., Q26ms < 0) the f i r s t term of expression is always greater than zero. he second term depends for its sign upon the sign of 6x.…”

Section: Stability and Root Locus Study Of Linear Kinetic Equations Fmentioning

confidence: 99%

Xenon-135 Induced Instabilities of the Neutron Flux in Nuclear Reactors

Sandquist¹

1964

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“…1(a)). (2) In measuring the dynamic characteristics of the measuring element, the card was stopped with a 14s web placed under the measuring element. Then a sheet of cellophane was placed abruptly on top of the web under the measuring element.…”

Section: Fig 1(b) Woolen Card Control System Expressed In Block Diagrammentioning

confidence: 99%

“…2 The value of w corresponding to the above mentioned period 130 sec is (8) For the card to oscillate with a period of 130 sec, the following relation must be established:…”

Section: Fig 1(b) Woolen Card Control System Expressed In Block Diagrammentioning

confidence: 99%