5 research outputs found
Robust dynamic schedule coordination control in the supply chain
International audienceCoordination plays crucial role in supply chain management. In this paper, we extend the existing body of literature on supply chain coordination by representing a robust schedule coordination approach. A hybrid discrete/continuous flow shop supply chain with job shop processes at each supplier stage is studied. For this purpose, the developed scheduling model comprises operations control (for customer order fulfillment dynamics), channel control (production machine and transportation dynamics), resource control (material supply dynamics), and flow control (processing and shipment dynamics) with multiple objectives. Based on the scheduling model, we introduce a robust analysis of schedule coordination in the presence of disruptions in capacities and supply. The application of attainable sets opens a possibility to analyse schedule coordination dynamics under disruptions. The results provide insights of how to integrate the coordination issues into schedule robustness analysis. We exemplify the developed approach for the case of two-stage supply chain coordination, and derive managerial insights for both considered scheduling problem and application of dynamic control methods to supply chain coordination in general
Π Π°ΡΡΠ΅Ρ ΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅Π½Π½ΠΎ-Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ Ρ Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΡΡΠ±Π΅ΠΆΠ΅ΠΉ Π°ΡΠ°ΠΊΠΈ Π°ΡΡΠ΅ΡΠΎΠΈΠ΄ΠΎΠ² ΠΎΡΠ±ΠΈΡΠ°Π»ΡΠ½ΡΠΌΠΈ ΡΡΠ΅Π΄ΡΡΠ²Π°ΠΌΠΈ
A development of work to combat the asteroid hazard requires construction and study of areas of outer space in which moving spacecraft-interceptors can affect asteroids. In this paper, such areas are called attack lines, the spatio-temporal characteristics of which depend on the parameters of the asteroidβs orbits and the phase coordinates of the nodal points. At these points the trajectory intersects the asteroids and the orbital planes of the spacecraft-interceptors. In the case of the impact of spacecraft-interceptors on asteroids at nodal points, the study of the spatio-temporal characteristics of the lines of attack, taking into account restrictions on the relative speeds between asteroids and spacecraft-interceptors, is of particular importance. Building and analyzing the corresponding zones of reverse reach are suggested.
In the article, the developed models include a simulation model, using which random angles between the projections of the velocity vectors of asteroids on a plane of the orbits of spacecraft-interceptors and the current directions on the hodographs of their velocity vectors at nodal points, as well as an analytical model for estimating the spatio-temporal characteristics of boundaries are simulated attacks of asteroids, including: the radii of their external and internal boundaries for certain values of the latitude arguments and arrival time of spacecraft-interceptors at modal points.
Testing these models and the corresponding characteristics of the attack lines were carries out during computational experiments on two cyclic modeling of the angles between the projections of the velocity vectors of asteroids on the plane of the orbits of interceptor spacecraft and the current directions on the hodographs of their velocity vectors at nodal points. The results obtained made it possible to verify and validate the developed models, on the basis of which a conclusion was drawn about the required degree of their applicability. In the paper also a procedure for estimating the parameters of attack lines, depending on the values of the arguments of the latitudes of interceptor spacecraft and their altitudes above the Earth's surface is proposed. At the same time, an approach is substantiated for estimating the spatio-temporal characteristics of the boundaries of attack of asteroids by spacecraft-interceptors for any inside the planar parameters of their orbits.Π Π°Π·Π²ΠΈΡΠΈΠ΅ ΡΠ°Π±ΠΎΡ ΠΏΠΎ Π±ΠΎΡΡΠ±Π΅ Ρ Π°ΡΡΠ΅ΡΠΎΠΈΠ΄Π½ΠΎΠΉ ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΡΡ ΡΡΠ΅Π±ΡΠ΅Ρ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ ΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΎΠ±Π»Π°ΡΡΠ΅ΠΉ ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π°, ΠΏΠ΅ΡΠ΅ΠΌΠ΅ΡΠ°ΡΡΡ Π² ΠΊΠΎΡΠΎΡΡΡ
ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π°ΠΏΠΏΠ°ΡΠ°ΡΡ-ΠΏΠ΅ΡΠ΅Ρ
Π²Π°ΡΡΠΈΠΊΠΈ ΠΌΠΎΠ³ΡΡ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΎΠ²Π°ΡΡ Π½Π° Π°ΡΡΠ΅ΡΠΎΠΈΠ΄Ρ. Π ΠΏΡΠ΅Π΄Π»Π°Π³Π°Π΅ΠΌΠΎΠΉ ΡΡΠ°ΡΡΠ΅ ΡΠ°ΠΊΠΈΠ΅ ΠΎΠ±Π»Π°ΡΡΠΈ Π½Π°Π·Π²Π°Π½Ρ ΡΡΠ±Π΅ΠΆΠ°ΠΌΠΈ Π°ΡΠ°ΠΊΠΈ, ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅Π½Π½ΠΎ-Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΠΊΠΎΡΠΎΡΡΡ
Π·Π°Π²ΠΈΡΡΡ ΠΎΡ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΠΎΡΠ±ΠΈΡ Π°ΡΡΠ΅ΡΠΎΠΈΠ΄ΠΎΠ², Π° ΡΠ°ΠΊΠΆΠ΅ ΡΠ°Π·ΠΎΠ²ΡΡ
ΠΊΠΎΠΎΡΠ΄ΠΈΠ½Π°Ρ ΡΠ·Π»ΠΎΠ²ΡΡ
ΡΠΎΡΠ΅ΠΊ. Π ΡΠΊΠ°Π·Π°Π½Π½ΡΡ
ΡΠΎΡΠΊΠ°Ρ
ΠΏΡΠΎΠΈΡΡ
ΠΎΠ΄ΠΈΡ ΠΏΠ΅ΡΠ΅ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ ΡΡΠ°Π΅ΠΊΡΠΎΡΠΈΠ΅ΠΉ Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΡ Π°ΡΡΠ΅ΡΠΎΠΈΠ΄ΠΎΠ² ΠΈ ΠΏΠ»ΠΎΡΠΊΠΎΡΡΠ΅ΠΉ ΠΎΡΠ±ΠΈΡ ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Π°ΠΏΠΏΠ°ΡΠ°ΡΠΎΠ²-ΠΏΠ΅ΡΠ΅Ρ
Π²Π°ΡΡΠΈΠΊΠΎΠ². Π ΡΠ»ΡΡΠ°Π΅ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Π°ΠΏΠΏΠ°ΡΠ°ΡΠΎΠ²-ΠΏΠ΅ΡΠ΅Ρ
Π²Π°ΡΡΠΈΠΊΠΎΠ² Π½Π° Π°ΡΡΠ΅ΡΠΎΠΈΠ΄Ρ Π² ΡΠ·Π»ΠΎΠ²ΡΡ
ΡΠΎΡΠΊΠ°Ρ
ΠΎΡΠΎΠ±ΡΡ Π·Π½Π°ΡΠΈΠΌΠΎΡΡΡ ΠΏΡΠΈΠΎΠ±ΡΠ΅ΡΠ°Π΅Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅Π½Π½ΠΎ-Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΡΡΠ±Π΅ΠΆΠ΅ΠΉ Π°ΡΠ°ΠΊΠΈ Ρ ΡΡΠ΅ΡΠΎΠΌ ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½ΠΈΠΉ Π½Π° ΠΎΡΠ½ΠΎΡΠΈΡΠ΅Π»ΡΠ½ΡΠ΅ ΡΠΊΠΎΡΠΎΡΡΠΈ ΡΠ±Π»ΠΈΠΆΠ΅Π½ΠΈΡ Π°ΡΡΠ΅ΡΠΎΠΈΠ΄ΠΎΠ² ΠΈ ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Π°ΠΏΠΏΠ°ΡΠ°ΡΠΎΠ²-ΠΏΠ΅ΡΠ΅Ρ
Π²Π°ΡΡΠΈΠΊΠΎΠ². ΠΠ»Ρ ΡΡΠΎΠ³ΠΎ ΠΏΡΠ΅Π΄Π»Π°Π³Π°Π΅ΡΡΡ ΠΏΠΎΡΡΡΠΎΠΈΡΡ ΠΈ ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°ΡΡ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΠ΅ Π·ΠΎΠ½Ρ ΠΎΠ±ΡΠ°ΡΠ½ΠΎΠΉ Π΄ΠΎΡΡΠ³Π°Π΅ΠΌΠΎΡΡΠΈ.
Π ΡΠΎΡΡΠ°Π² ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½ΠΎΠ³ΠΎ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ° ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Π²ΠΊΠ»ΡΡΠ΅Π½Π° ΠΈΠΌΠΈΡΠ°ΡΠΈΠΎΠ½Π½Π°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ, Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΊΠΎΡΠΎΡΠΎΠΉ Π³Π΅Π½Π΅ΡΠΈΡΡΡΡΡΡ ΡΠ»ΡΡΠ°ΠΉΠ½ΡΠ΅ ΡΠ³Π»Ρ ΠΌΠ΅ΠΆΠ΄Ρ ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΌΠΈ Π²Π΅ΠΊΡΠΎΡΠΎΠ² ΡΠΊΠΎΡΠΎΡΡΠ΅ΠΉ Π°ΡΡΠ΅ΡΠΎΠΈΠ΄ΠΎΠ² Π½Π° ΠΏΠ»ΠΎΡΠΊΠΎΡΡΠΈ ΠΎΡΠ±ΠΈΡ ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Π°ΠΏΠΏΠ°ΡΠ°ΡΠΎΠ²-ΠΏΠ΅ΡΠ΅Ρ
Π²Π°ΡΡΠΈΠΊΠΎΠ² ΠΈ ΡΠ΅ΠΊΡΡΠΈΠΌΠΈ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡΠΌΠΈ Π½Π° Π³ΠΎΠ΄ΠΎΠ³ΡΠ°ΡΡ Π²Π΅ΠΊΡΠΎΡΠΎΠ² ΠΈΡ
ΡΠΊΠΎΡΠΎΡΡΠ΅ΠΉ Π² ΡΠ·Π»ΠΎΠ²ΡΡ
ΡΠΎΡΠΊΠ°Ρ
, Π° ΡΠ°ΠΊΠΆΠ΅ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ ΠΎΡΠ΅Π½ΠΈΠ²Π°Π½ΠΈΡ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅Π½Π½ΠΎ-Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΡΡΠ±Π΅ΠΆΠ΅ΠΉ Π°ΡΠ°ΠΊΠΈ Π°ΡΡΠ΅ΡΠΎΠΈΠ΄ΠΎΠ², Π·Π°Π΄Π°Π²Π°Π΅ΠΌΡΡ
ΡΠ°Π΄ΠΈΡΡΠ°ΠΌΠΈ ΠΈΡ
Π½Π°ΡΡΠΆΠ½ΡΡ
ΠΈ Π²Π½ΡΡΡΠ΅Π½Π½ΠΈΡ
Π³ΡΠ°Π½ΠΈΡ ΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΠΌΡΡ
Π΄Π»Ρ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΡΡ
Π·Π½Π°ΡΠ΅Π½ΠΈΠΉ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΡ
Π°ΡΠ³ΡΠΌΠ΅Π½ΡΠΎΠ² ΡΠΈΡΠΎΡ ΠΈ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ ΠΏΡΠΈΠ±ΡΡΠΈΡ ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Π°ΠΏΠΏΠ°ΡΠ°ΡΠΎΠ²-ΠΏΠ΅ΡΠ΅Ρ
Π²Π°ΡΡΠΈΠΊΠΎΠ² Π² ΡΠ·Π»ΠΎΠ²ΡΠ΅ ΡΠΎΡΠΊΠΈ.
ΠΠΏΡΠΎΠ±Π°ΡΠΈΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½ΡΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ ΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΡΡΠ±Π΅ΠΆΠ΅ΠΉ Π°ΡΠ°ΠΊΠΈ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π° Π² Ρ
ΠΎΠ΄Π΅ Π²ΡΡΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠΎΠ² ΠΏΠΎ Π΄Π²ΡΡ
ΡΠΈΠΊΠ»ΠΎΠ²ΠΎΠΌΡ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π²Π΅Π»ΠΈΡΠΈΠ½ ΡΠ³Π»ΠΎΠ² ΠΌΠ΅ΠΆΠ΄Ρ ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΌΠΈ Π²Π΅ΠΊΡΠΎΡΠΎΠ² ΡΠΊΠΎΡΠΎΡΡΠ΅ΠΉ Π°ΡΡΠ΅ΡΠΎΠΈΠ΄ΠΎΠ² Π½Π° ΠΏΠ»ΠΎΡΠΊΠΎΡΡΠΈ ΠΎΡΠ±ΠΈΡ ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Π°ΠΏΠΏΠ°ΡΠ°ΡΠΎΠ²-ΠΏΠ΅ΡΠ΅Ρ
Π²Π°ΡΡΠΈΠΊΠΎΠ² ΠΈ ΡΠ΅ΠΊΡΡΠΈΠΌΠΈ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡΠΌΠΈ Π½Π° Π³ΠΎΠ΄ΠΎΠ³ΡΠ°ΡΡ Π²Π΅ΠΊΡΠΎΡΠΎΠ² ΠΈΡ
ΡΠΊΠΎΡΠΎΡΡΠ΅ΠΉ Π² ΡΠ·Π»ΠΎΠ²ΡΡ
ΡΠΎΡΠΊΠ°Ρ
. ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΈ ΠΏΡΠΎΠ²Π΅ΡΡΠΈ Π²Π΅ΡΠΈΡΠΈΠΊΠ°ΡΠΈΡ ΠΈ Π²Π°Π»ΠΈΠ΄Π°ΡΠΈΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½ΡΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ, Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΠ΅Π³ΠΎ Π±ΡΠ» ΡΠ΄Π΅Π»Π°Π½ Π²ΡΠ²ΠΎΠ΄ ΠΎ ΡΡΠ΅Π±ΡΠ΅ΠΌΠΎΠΉ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ ΠΈΡ
Π°Π΄Π΅ΠΊΠ²Π°ΡΠ½ΠΎΡΡΠΈ. Π’Π°ΠΊΠΆΠ΅ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π° ΠΏΡΠΎΡΠ΅Π΄ΡΡΠ° ΠΎΡΠ΅Π½ΠΈΠ²Π°Π½ΠΈΡ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΡΡΠ±Π΅ΠΆΠ΅ΠΉ Π°ΡΠ°ΠΊΠΈ, Π·Π°Π²ΠΈΡΡΡΠΈΡ
ΠΊΠ°ΠΊ ΠΎΡ Π·Π½Π°ΡΠ΅Π½ΠΈΠΉ Π°ΡΠ³ΡΠΌΠ΅Π½ΡΠΎΠ² ΡΠΈΡΠΎΡ ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Π°ΠΏΠΏΠ°ΡΠ°ΡΠΎΠ²-ΠΏΠ΅ΡΠ΅Ρ
Π²Π°ΡΡΠΈΠΊΠΎΠ², ΡΠ°ΠΊ ΠΈ Π²ΡΡΠΎΡ ΠΈΡ
ΠΏΠΎΠ»Π΅ΡΠ° Π½Π°Π΄ ΠΏΠΎΠ²Π΅ΡΡ
Π½ΠΎΡΡΡΡ ΠΠ΅ΠΌΠ»ΠΈ. ΠΡΠΈ ΡΡΠΎΠΌ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΊ ΠΎΡΠ΅Π½ΠΈΠ²Π°Π½ΠΈΡ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅Π½Π½ΠΎ-Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΡΡΠ±Π΅ΠΆΠ΅ΠΉ Π°ΡΠ°ΠΊΠΈ Π°ΡΡΠ΅ΡΠΎΠΈΠ΄ΠΎΠ² ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ Π°ΠΏΠΏΠ°ΡΠ°ΡΠ°ΠΌΠΈ-ΠΏΠ΅ΡΠ΅Ρ
Π²Π°ΡΡΠΈΠΊΠ°ΠΌΠΈ Π΄Π»Ρ Π»ΡΠ±ΡΡ
Π²Π½ΡΡΡΠΈΠΏΠ»ΠΎΡΠΊΠΎΡΡΠ½ΡΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΠΈΡ
ΠΎΡΠ±ΠΈΡ
Π Π°ΡΡΠ΅Ρ ΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅Π½Π½ΠΎ-Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ Ρ Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΡΡΠ±Π΅ΠΆΠ΅ΠΉ Π°ΡΠ°ΠΊΠΈ Π°ΡΡΠ΅ΡΠΎΠΈΠ΄ΠΎΠ² ΠΎΡΠ±ΠΈΡΠ°Π»ΡΠ½ΡΠΌΠΈ ΡΡΠ΅Π΄ΡΡΠ²Π°ΠΌΠΈ
Π Π°Π·Π²ΠΈΡΠΈΠ΅ ΡΠ°Π±ΠΎΡ ΠΏΠΎ Π±ΠΎΡΡΠ±Π΅ Ρ Π°ΡΡΠ΅ΡΠΎΠΈΠ΄Π½ΠΎΠΉ ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΡΡ ΡΡΠ΅Π±ΡΠ΅Ρ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ ΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΎΠ±Π»Π°ΡΡΠ΅ΠΉ ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π°, ΠΏΠ΅ΡΠ΅ΠΌΠ΅ΡΠ°ΡΡΡ Π² ΠΊΠΎΡΠΎΡΡΡ
ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π°ΠΏΠΏΠ°ΡΠ°ΡΡ-ΠΏΠ΅ΡΠ΅Ρ
Π²Π°ΡΡΠΈΠΊΠΈ ΠΌΠΎΠ³ΡΡ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΎΠ²Π°ΡΡ Π½Π° Π°ΡΡΠ΅ΡΠΎΠΈΠ΄Ρ. Π ΠΏΡΠ΅Π΄Π»Π°Π³Π°Π΅ΠΌΠΎΠΉ ΡΡΠ°ΡΡΠ΅ ΡΠ°ΠΊΠΈΠ΅ ΠΎΠ±Π»Π°ΡΡΠΈ Π½Π°Π·Π²Π°Π½Ρ ΡΡΠ±Π΅ΠΆΠ°ΠΌΠΈ Π°ΡΠ°ΠΊΠΈ, ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅Π½Π½ΠΎ-Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΠΊΠΎΡΠΎΡΡΡ
Π·Π°Π²ΠΈΡΡΡ ΠΎΡ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΠΎΡΠ±ΠΈΡ Π°ΡΡΠ΅ΡΠΎΠΈΠ΄ΠΎΠ², Π° ΡΠ°ΠΊΠΆΠ΅ ΡΠ°Π·ΠΎΠ²ΡΡ
ΠΊΠΎΠΎΡΠ΄ΠΈΠ½Π°Ρ ΡΠ·Π»ΠΎΠ²ΡΡ
ΡΠΎΡΠ΅ΠΊ. Π ΡΠΊΠ°Π·Π°Π½Π½ΡΡ
ΡΠΎΡΠΊΠ°Ρ
ΠΏΡΠΎΠΈΡΡ
ΠΎΠ΄ΠΈΡ ΠΏΠ΅ΡΠ΅ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ ΡΡΠ°Π΅ΠΊΡΠΎΡΠΈΠ΅ΠΉ Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΡ Π°ΡΡΠ΅ΡΠΎΠΈΠ΄ΠΎΠ² ΠΈ ΠΏΠ»ΠΎΡΠΊΠΎΡΡΠ΅ΠΉ ΠΎΡΠ±ΠΈΡ ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Π°ΠΏΠΏΠ°ΡΠ°ΡΠΎΠ²-ΠΏΠ΅ΡΠ΅Ρ
Π²Π°ΡΡΠΈΠΊΠΎΠ². Π ΡΠ»ΡΡΠ°Π΅ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Π°ΠΏΠΏΠ°ΡΠ°ΡΠΎΠ²-ΠΏΠ΅ΡΠ΅Ρ
Π²Π°ΡΡΠΈΠΊΠΎΠ² Π½Π° Π°ΡΡΠ΅ΡΠΎΠΈΠ΄Ρ Π² ΡΠ·Π»ΠΎΠ²ΡΡ
ΡΠΎΡΠΊΠ°Ρ
ΠΎΡΠΎΠ±ΡΡ Π·Π½Π°ΡΠΈΠΌΠΎΡΡΡ ΠΏΡΠΈΠΎΠ±ΡΠ΅ΡΠ°Π΅Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅Π½Π½ΠΎ-Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΡΡΠ±Π΅ΠΆΠ΅ΠΉ Π°ΡΠ°ΠΊΠΈ Ρ ΡΡΠ΅ΡΠΎΠΌ ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½ΠΈΠΉ Π½Π° ΠΎΡΠ½ΠΎΡΠΈΡΠ΅Π»ΡΠ½ΡΠ΅ ΡΠΊΠΎΡΠΎΡΡΠΈ ΡΠ±Π»ΠΈΠΆΠ΅Π½ΠΈΡ Π°ΡΡΠ΅ΡΠΎΠΈΠ΄ΠΎΠ² ΠΈ ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Π°ΠΏΠΏΠ°ΡΠ°ΡΠΎΠ²-ΠΏΠ΅ΡΠ΅Ρ
Π²Π°ΡΡΠΈΠΊΠΎΠ². ΠΠ»Ρ ΡΡΠΎΠ³ΠΎ ΠΏΡΠ΅Π΄Π»Π°Π³Π°Π΅ΡΡΡ ΠΏΠΎΡΡΡΠΎΠΈΡΡ ΠΈ ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°ΡΡ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΠ΅ Π·ΠΎΠ½Ρ ΠΎΠ±ΡΠ°ΡΠ½ΠΎΠΉ Π΄ΠΎΡΡΠ³Π°Π΅ΠΌΠΎΡΡΠΈ.
Π ΡΠΎΡΡΠ°Π² ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½ΠΎΠ³ΠΎ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ° ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Π²ΠΊΠ»ΡΡΠ΅Π½Π° ΠΈΠΌΠΈΡΠ°ΡΠΈΠΎΠ½Π½Π°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ, Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΊΠΎΡΠΎΡΠΎΠΉ Π³Π΅Π½Π΅ΡΠΈΡΡΡΡΡΡ ΡΠ»ΡΡΠ°ΠΉΠ½ΡΠ΅ ΡΠ³Π»Ρ ΠΌΠ΅ΠΆΠ΄Ρ ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΌΠΈ Π²Π΅ΠΊΡΠΎΡΠΎΠ² ΡΠΊΠΎΡΠΎΡΡΠ΅ΠΉ Π°ΡΡΠ΅ΡΠΎΠΈΠ΄ΠΎΠ² Π½Π° ΠΏΠ»ΠΎΡΠΊΠΎΡΡΠΈ ΠΎΡΠ±ΠΈΡ ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Π°ΠΏΠΏΠ°ΡΠ°ΡΠΎΠ²-ΠΏΠ΅ΡΠ΅Ρ
Π²Π°ΡΡΠΈΠΊΠΎΠ² ΠΈ ΡΠ΅ΠΊΡΡΠΈΠΌΠΈ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡΠΌΠΈ Π½Π° Π³ΠΎΠ΄ΠΎΠ³ΡΠ°ΡΡ Π²Π΅ΠΊΡΠΎΡΠΎΠ² ΠΈΡ
ΡΠΊΠΎΡΠΎΡΡΠ΅ΠΉ Π² ΡΠ·Π»ΠΎΠ²ΡΡ
ΡΠΎΡΠΊΠ°Ρ
, Π° ΡΠ°ΠΊΠΆΠ΅ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ ΠΎΡΠ΅Π½ΠΈΠ²Π°Π½ΠΈΡ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅Π½Π½ΠΎ-Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΡΡΠ±Π΅ΠΆΠ΅ΠΉ Π°ΡΠ°ΠΊΠΈ Π°ΡΡΠ΅ΡΠΎΠΈΠ΄ΠΎΠ², Π·Π°Π΄Π°Π²Π°Π΅ΠΌΡΡ
ΡΠ°Π΄ΠΈΡΡΠ°ΠΌΠΈ ΠΈΡ
Π½Π°ΡΡΠΆΠ½ΡΡ
ΠΈ Π²Π½ΡΡΡΠ΅Π½Π½ΠΈΡ
Π³ΡΠ°Π½ΠΈΡ ΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΠΌΡΡ
Π΄Π»Ρ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΡΡ
Π·Π½Π°ΡΠ΅Π½ΠΈΠΉ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΡ
Π°ΡΠ³ΡΠΌΠ΅Π½ΡΠΎΠ² ΡΠΈΡΠΎΡ ΠΈ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ ΠΏΡΠΈΠ±ΡΡΠΈΡ ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Π°ΠΏΠΏΠ°ΡΠ°ΡΠΎΠ²-ΠΏΠ΅ΡΠ΅Ρ
Π²Π°ΡΡΠΈΠΊΠΎΠ² Π² ΡΠ·Π»ΠΎΠ²ΡΠ΅ ΡΠΎΡΠΊΠΈ.
ΠΠΏΡΠΎΠ±Π°ΡΠΈΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½ΡΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ ΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΡΡΠ±Π΅ΠΆΠ΅ΠΉ Π°ΡΠ°ΠΊΠΈ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π° Π² Ρ
ΠΎΠ΄Π΅ Π²ΡΡΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠΎΠ² ΠΏΠΎ Π΄Π²ΡΡ
ΡΠΈΠΊΠ»ΠΎΠ²ΠΎΠΌΡ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π²Π΅Π»ΠΈΡΠΈΠ½ ΡΠ³Π»ΠΎΠ² ΠΌΠ΅ΠΆΠ΄Ρ ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΌΠΈ Π²Π΅ΠΊΡΠΎΡΠΎΠ² ΡΠΊΠΎΡΠΎΡΡΠ΅ΠΉ Π°ΡΡΠ΅ΡΠΎΠΈΠ΄ΠΎΠ² Π½Π° ΠΏΠ»ΠΎΡΠΊΠΎΡΡΠΈ ΠΎΡΠ±ΠΈΡ ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Π°ΠΏΠΏΠ°ΡΠ°ΡΠΎΠ²-ΠΏΠ΅ΡΠ΅Ρ
Π²Π°ΡΡΠΈΠΊΠΎΠ² ΠΈ ΡΠ΅ΠΊΡΡΠΈΠΌΠΈ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡΠΌΠΈ Π½Π° Π³ΠΎΠ΄ΠΎΠ³ΡΠ°ΡΡ Π²Π΅ΠΊΡΠΎΡΠΎΠ² ΠΈΡ
ΡΠΊΠΎΡΠΎΡΡΠ΅ΠΉ Π² ΡΠ·Π»ΠΎΠ²ΡΡ
ΡΠΎΡΠΊΠ°Ρ
. ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΈ ΠΏΡΠΎΠ²Π΅ΡΡΠΈ Π²Π΅ΡΠΈΡΠΈΠΊΠ°ΡΠΈΡ ΠΈ Π²Π°Π»ΠΈΠ΄Π°ΡΠΈΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½ΡΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ, Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΠ΅Π³ΠΎ Π±ΡΠ» ΡΠ΄Π΅Π»Π°Π½ Π²ΡΠ²ΠΎΠ΄ ΠΎ ΡΡΠ΅Π±ΡΠ΅ΠΌΠΎΠΉ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ ΠΈΡ
Π°Π΄Π΅ΠΊΠ²Π°ΡΠ½ΠΎΡΡΠΈ. Π’Π°ΠΊΠΆΠ΅ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π° ΠΏΡΠΎΡΠ΅Π΄ΡΡΠ° ΠΎΡΠ΅Π½ΠΈΠ²Π°Π½ΠΈΡ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΡΡΠ±Π΅ΠΆΠ΅ΠΉ Π°ΡΠ°ΠΊΠΈ, Π·Π°Π²ΠΈΡΡΡΠΈΡ
ΠΊΠ°ΠΊ ΠΎΡ Π·Π½Π°ΡΠ΅Π½ΠΈΠΉ Π°ΡΠ³ΡΠΌΠ΅Π½ΡΠΎΠ² ΡΠΈΡΠΎΡ ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Π°ΠΏΠΏΠ°ΡΠ°ΡΠΎΠ²-ΠΏΠ΅ΡΠ΅Ρ
Π²Π°ΡΡΠΈΠΊΠΎΠ², ΡΠ°ΠΊ ΠΈ Π²ΡΡΠΎΡ ΠΈΡ
ΠΏΠΎΠ»Π΅ΡΠ° Π½Π°Π΄ ΠΏΠΎΠ²Π΅ΡΡ
Π½ΠΎΡΡΡΡ ΠΠ΅ΠΌΠ»ΠΈ. ΠΡΠΈ ΡΡΠΎΠΌ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΊ ΠΎΡΠ΅Π½ΠΈΠ²Π°Π½ΠΈΡ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅Π½Π½ΠΎ-Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΡΡΠ±Π΅ΠΆΠ΅ΠΉ Π°ΡΠ°ΠΊΠΈ Π°ΡΡΠ΅ΡΠΎΠΈΠ΄ΠΎΠ² ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ Π°ΠΏΠΏΠ°ΡΠ°ΡΠ°ΠΌΠΈ-ΠΏΠ΅ΡΠ΅Ρ
Π²Π°ΡΡΠΈΠΊΠ°ΠΌΠΈ Π΄Π»Ρ Π»ΡΠ±ΡΡ
Π²Π½ΡΡΡΠΈΠΏΠ»ΠΎΡΠΊΠΎΡΡΠ½ΡΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΠΈΡ
ΠΎΡΠ±ΠΈΡ
Optimal Control Algorithms and Their Analysis for Short-Term Scheduling in Manufacturing Systems
International audienceCurrent literature presents optimal control computational algorithms with regard to state, control, and conjunctive variable spaces. This paper first analyses the advantages and limitations of different optimal control computational methods and algorithms which can be used for short-term scheduling. Second, it develops an optimal control computational algorithm that allows for the solution of short-term scheduling in an optimal manner. Moreover, qualitative and quantitative analysis of the manufacturing system scheduling problem is presented. Results highlight computer experiments with a scheduling software prototype as well as potential future research avenues
Algorithms for Scheduling Problems
This edited book presents new results in the area of algorithm development for different types of scheduling problems. In eleven chapters, algorithms for single machine problems, flow-shop and job-shop scheduling problems (including their hybrid (flexible) variants), the resource-constrained project scheduling problem, scheduling problems in complex manufacturing systems and supply chains, and workflow scheduling problems are given. The chapters address such subjects as insertion heuristics for energy-efficient scheduling, the re-scheduling of train traffic in real time, control algorithms for short-term scheduling in manufacturing systems, bi-objective optimization of tortilla production, scheduling problems with uncertain (interval) processing times, workflow scheduling for digital signal processor (DSP) clusters, and many more