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Journal articles on the topic 'Rolling planning'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Kaganovich, Michael. "Rolling planning: Optimality and decentralization." Journal of Economic Behavior & Organization 29, no. 1 (1996): 173–85. http://dx.doi.org/10.1016/0167-2681(95)00056-9.

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2

Butkevičius, Jonas, Leonas Povilas Lingaitis, and Gediminas Vaičiūnas. "ROLLING STOCK PLANNING FOR PASSENGER TRANSPORTATION." TRANSPORT 19, no. 5 (2004): 202–6. http://dx.doi.org/10.3846/16484142.2004.9637977.

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The planning of the optimal rolling stock for passenger carriage should be based on passenger flow forecasts, close examination of the available locomotives and cars and properly chosen methods of their writing off and plans for rolling stock renewal. The strategy of renewing the existing rolling stock for passenger transportation (including plans for writing off, modernization and purchasing of cars and locomotives) is offered by the authors which is based on forecasts of passenger flow variation and expenses.

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3

Wang, Zhaotian, Yezhuo Li, and Yan-An Yao. "Motion and path planning of a novel multi-mode mobile parallel robot based on chessboard-shaped grid division." Industrial Robot: An International Journal 45, no. 3 (2018): 390–400. http://dx.doi.org/10.1108/ir-01-2018-0001.

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Purpose The purpose of this paper is to put forward a rolling assistant robot with two rolling modes, and the multi-mode rolling motion strategy with path planning algorithm, which is suitable to this multi-mode mobile robot, is proposed based on chessboard-shaped grid division (CGD). Design/methodology/approach Based on the kinematic analysis and motion properties of the mobile parallel robot, the motion strategy based on CGD path planning algorithm of a mobile robot with two rolling modes moving to a target position is divided into two parts, which are local self-motion planning and global p

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4

Suzuki, Kodai, Mikhail Svinin, and Shigeyuki Hosoe. "Motion Planning for Rolling-Based Locomotion." Journal of Robotics and Mechatronics 17, no. 5 (2005): 537–45. http://dx.doi.org/10.20965/jrm.2005.p0537.

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The basic motivation of this paper is to study locomotion on a hemisphere. To understand the problem we resort to a simplified quasi-static model in which the locomotion object is represented by a mass point. In this formulation, the driving principle is based on controlling the position of the center of mass of the object, exploiting non-holonomic rolling constraint to propel the hemisphere. The principle is tested under simulation using two motion planning algorithms. The simulation results show the possibility of steering the loocmotion system to the desired configurations by moving the cen

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5

Rickards, Robert C., and Rolf Ritsert. "Rediscovering Rolling Planning: Controller's Roadmap for Implementing Rolling Instruments in SMEs." Procedia Economics and Finance 2 (2012): 135–44. http://dx.doi.org/10.1016/s2212-5671(12)00073-1.

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6

Khodaee, Alireza, and Arne Melander. "Process Planning of Gear Rolling with the Finite Element Method." Key Engineering Materials 622-623 (September 2014): 986–92. http://dx.doi.org/10.4028/www.scientific.net/kem.622-623.986.

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Gear rolling is a new gear manufacturing process which can partly replace traditional gear milling processes. High gear wheels with modules of 4mm up to 6mm are of interest to truck manufacturing. The process is of interest since it involves no material removal and since it has the potential to give good performance of the gear wheels. The process must be adopted for the large plastic deformations which occur for gear rolling with large modules. In this paper special emphasis will be put to loads and torques during the gear rolling process of gear wheels with large modulus. The FE method will

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Liu, Li Jun, Zhi Wen, Fu Yong Su, Rui Feng Dou, Xun Liang Liu, and Guo Feng Lou. "Research and Application of Integrated Scheduling Management System of Steelmaking-Casting-Rolling Based on Heat Process Model." Advanced Materials Research 760-762 (September 2013): 1017–22. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.1017.

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by studying steelmaking-casting-rolling production process, a mathematical model of integrated batch planning is established innovatively to minimize processing costs of whole line and computed by an intelligent optimization ant algorithm. On the premise of utilizing and coordinating capacity of steelmaking and rolling, the mathematical model of integrated batch planning can create integrated batch planning to combine steelmaking-casting-rolling closely according to each process constraint conditions and optimization objective. Furthermore, another mathematical model of job scheduling based on

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8

Yan, Feng-Lin, Lin Hua, and Yong-Qiao Wu. "Planning feed speed in cold ring rolling." International Journal of Machine Tools and Manufacture 47, no. 11 (2007): 1695–701. http://dx.doi.org/10.1016/j.ijmachtools.2007.01.009.

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9

Piccinocchi, S., A. Bicchi, A. Marigo, and M. Ceccarelli. "Planning Motions of Polyhedral Parts by Rolling." Algorithmica 26, no. 3-4 (2000): 560–76. http://dx.doi.org/10.1007/s004539910024.

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10

de Sampaio, Raimundo J. B., Rafael R. G. Wollmann, and Paula F. G. Vieira. "A flexible production planning for rolling-horizons." International Journal of Production Economics 190 (August 2017): 31–36. http://dx.doi.org/10.1016/j.ijpe.2017.01.003.

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11

Gołębiowski, Piotr, Ignacy Góra, and Yaroslav Bolzhelarskyi. "Risk assessment in railway rolling stock planning." Archives of Transport 65, no. 1 (2023): 137–54. http://dx.doi.org/10.5604/01.3001.0016.2817.

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Rolling stock planning is one of the steps in the traffic planning process considered from the railway undertaking's point of view. It is directly related to the efficiency of rolling stock utilisation, which should be ensured at the highest possible level in the case of rail transport. The planning work stage is subject to certain risks (threats and opportunities), which, if they materialise, will impact it. It, therefore, makes sense to carry out analyses that can anticipate specific events in good time and introduce appropriate countermeasures in advance. This article aims to conduct a risk

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12

Vakhrushev, S. A., B. S. Trofimov, and L. S. Trofimova. "MATHEMATICAL MODELING OF ROLLING STOCK PERFORMANCE INDICATORS TAKING INTO ACCOUNT THE FAR NORTH CONDITIONS." Intelligence. Innovations. Investment, no. 4 (2022): 104–15. http://dx.doi.org/10.25198/2077-7175-2022-4-104.

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Introduction. Emphasis is placed on solving the problem of planning the performance of rolling stock in the activities of transport departments of oil and gas production enterprises, taking into account the conditions of the Far North (Republic of Sakha (Yakutia)). Differences in the actual performance of the rolling stock during the transportation of goods from the planned ones were revealed, which amount to more than 30% per month and lead to the non-fulfillment of plans for oil and gas production by the enterprises of the main production. The aim of the study is to develop a mathematical mo

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Long, Jun, Cong Li, Lei Zhu, Shilong Chen, and Junfeng Liu. "An Efficient Task Autonomous Planning Method for Small Satellites." Information 9, no. 7 (2018): 181. http://dx.doi.org/10.3390/info9070181.

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Existing on-board planning systems do not apply to small satellites with limited onboard computer capacity and on-board resources. This study aims to investigate the problem of autonomous task planning for small satellites. Based on the analysis of the problem and its constraints, a model of task autonomous planning was implemented. According to the long-cycle task planning requirements, a framework of rolling planning was proposed, including a rolling window and planning unit in the solution, and we proposed an improved genetic algorithm (IGA) for rolling planning. This algorithm categorized

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14

Jia, Xue Mei, and Qi Yuan Sun. "An Improved Algorithm of Path Planning for a Mobile Robot." Applied Mechanics and Materials 392 (September 2013): 253–56. http://dx.doi.org/10.4028/www.scientific.net/amm.392.253.

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Navigation is a key technology of mobile robot. The information of path planning for navigation is always incomplete in dynamic time-varying environment. In this paper, based on grid environmental model, an improved algorithm of path planning is proposed combining ant colony optimization with rolling window for an unknown complex environment with obstacles. A sub-target point can be searched within a rolling window according to the heuristic information about a target point, the improved algorithm can plan a local optimal path for the mobile robot in a rolling window. Simulations show that the

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15

Jonaitis, Jonas. "PLANNING OF THE AMOUNT OF TRAINS NEEDED FOR TRANSPORTATION BY RAIL." TRANSPORT 22, no. 2 (2007): 83–89. http://dx.doi.org/10.3846/16484142.2007.9638104.

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The article analyses the importance of planning process of rail transportation. Railway planning problems are presented in this paper. Planning the railways for years, months, weeks or days ahead leads to substantially different problems; in this regard railway planning problems can be strategic, tactical, operational and short‐term. Another way to classify railway planning problems is based on their target: they concern the timetable, the rolling stock and the crew. Planning the structure and volume of the rolling stock is a key factor in achieving maximum efficiency of transportation by rail

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Trofimov, L. S., and S. S. Vakhrushev. "Planning of rolling stock operation considering specific features of road traffic management when transporting goods in the Far North." Russian Automobile and Highway Industry Journal 20, no. 1 (2023): 102–13. http://dx.doi.org/10.26518/2071-7296-2023-20-1-102-113.

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Introduction. The operation practice for the rolling stock of road transport during the transportation of goods in the harsh conditions of the Far North (Republic of Sakha (Yakutia)) shows the necessity to organize measures related to ensuring road safety on road sections with ups and downs. To prevent rolling stock from running off the road and overturning, tractor equipment is used as a tractor for road transport, the use of which is time-consuming. The purpose of this article is to develop a new theoretical toolkit for planning the work of the rolling stock, which makes it possible to deter

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17

Zhang, Junxiao, Chengmin Wang, Jing Zuo, et al. "Multi-Stage Rolling Grid Expansion Planning for Distribution Networks Considering Conditional Value at Risk." Energies 17, no. 20 (2024): 5134. http://dx.doi.org/10.3390/en17205134.

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Existing single-stage planning and multi-stage non-rolling planning methods for distribution networks have problems such as low equipment utilization efficiency and poor investment benefits. In order to solve the above problems, this paper firstly proposes a multi-stage rolling planning method for distribution networks based on analyzing the limitations of the existing planning methods, which divides the planning cycle of the distribution network into multiple planning stages, and makes rolling amendments to the planning scheme of each stage according to the latest information during the plann

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18

Bai, Yang, Mikhail Svinin, and Motoji Yamamoto. "2P1-F03 Reduced Dynamic Model Based Motion Planning for a Spherical Rolling Robot." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2015 (2015): _2P1—F03_1—_2P1—F03_3. http://dx.doi.org/10.1299/jsmermd.2015._2p1-f03_1.

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19

Kaminskas, Saulius. "STRATEGIC PLANNING OF THE ROLLING STOCK IN TRANSPORTATION BY RAIL." TRANSPORT 17, no. 6 (2002): 230–33. http://dx.doi.org/10.3846/16483840.2002.10414049.

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Planning the structure and volume of the rolling stock is a key factor of achieving maximum efficiency of transportation by rail as well as forecasting the demand for these it transport facilities. The demand for trains is a time — dependant variable which in each case should be determined by two main approaches. The first method allows us to determine quantitative parameters of rolling stock (i.e. kilometers logged, efficiency, turnover, etc.). The second is based on specially developed mathematical models relying on qualitative characteristics such as relative expenses, efficiency of the par

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20

Hu, Zhengbiao, Dongfeng He, Wei Song, and Kai Feng. "Model and Algorithm for Planning Hot-Rolled Batch Processing under Time-of-Use Electricity Pricing." Processes 8, no. 1 (2020): 42. http://dx.doi.org/10.3390/pr8010042.

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Batch-type hot rolling planning highly affects electricity costs in a steel plant, but previous research models seldom considered time-of-use (TOU) electricity pricing. Based on an analysis of the hot-rolling process and TOU electricity pricing, a batch-processing plan optimization model for hot rolling was established, using an objective function with the goal of minimizing the total penalty incurred by the differences in width, thickness, and hardness among adjacent slabs, as well as the electricity cost of the rolling process. A method was provided to solve the model through improved geneti

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21

Bødal, Espen Flo, Audun Botterud, and Magnus Korpås. "Capacity Expansion Planning with Stochastic Rolling Horizon Dispatch." Electric Power Systems Research 205 (April 2022): 107729. http://dx.doi.org/10.1016/j.epsr.2021.107729.

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22

Woodruff, J. Zachary, Shufeng Ren, and Kevin M. Lynch. "Motion Planning and Feedback Control of Rolling Bodies." IEEE Access 8 (2020): 31780–91. http://dx.doi.org/10.1109/access.2020.2973416.

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23

Specian, Andrew, Caio Mucchiani, Mark Yim, and Jungwon Seo. "Robotic Edge-Rolling Manipulation: A Grasp Planning Approach." IEEE Robotics and Automation Letters 3, no. 4 (2018): 3137–44. http://dx.doi.org/10.1109/lra.2018.2849828.

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24

Cacchiani, Valentina, Alberto Caprara, Laura Galli, Leo Kroon, Gábor Maróti, and Paolo Toth. "Railway Rolling Stock Planning: Robustness Against Large Disruptions." Transportation Science 46, no. 2 (2012): 217–32. http://dx.doi.org/10.1287/trsc.1110.0388.

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25

Li, Mingyu, and Peter Schütz. "Planning Annual LNG Deliveries with Transshipment." Energies 13, no. 6 (2020): 1490. http://dx.doi.org/10.3390/en13061490.

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The introduction of transshipment ports in the liquefied natural gas (LNG) supply chain in recent years offers additional flexibility, but also challenges to the planning of the annual delivery program. We present a new variant of the LNG-annual delivery program (ADP) planning problem by considering transshipment as well as time-dependent sailing times. We present a continuous time formulation for the LNG-ADP problem and propose a rolling horizon heuristic to solve the problem. Both the model and heuristic were used to solve a case inspired by the Yamal LNG project. The computational results s

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26

Yang, Wang Lin, Hai Tong Xu, Song Lin Yang, and Sheng Zhang. "System Identification of Unmanned Planning Boat Rolling Motion Mode." Advanced Materials Research 823 (October 2013): 285–90. http://dx.doi.org/10.4028/www.scientific.net/amr.823.285.

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In this paper, the author took an unmanned planning boat as the object of study and carried out a series of rolling decay ship model test by changing the draft. The author established nine kinds of mathematical model of rolling decay motion model system identification by using different damping and righting moment and established the optimization calculation of the objective function based on the principle of system identification. Then the author adapted the genetic algorithm of system identification program which is based on the Visual Basic 6.0 and got 15 kinds of identification programs. B

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27

VAKHRUSHEV, S. A., and L. S. TROFIMOVA. "OPTIMIZATION OF ROLLING STOCK FUNCTIONING FOR PLANNING FREIGHT ROAD TRANSPORTATION IN THE CONDITIONS OF THE FAR NORTH." World of transport and technological machines 78, no. 3-5 (2022): 18–26. http://dx.doi.org/10.33979/2073-7432-2022-5(78)-3-18-26.

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The article develops a mathematical model for planning road freight transportation, which corresponds to the practice of rolling stock functioning in the conditions of the Far North. The formation of the optimal list of standard sizes of the rolling stock is carried out according to the criterion of minimum costs using an iterative optimization method. The limitations of the mathematical model are formulated taking into account the operating conditions, the conditions of the Customers, ensuring the operability of the rolling stock, the technology for performing transportation, the relationship

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LIANG, HELAN, and SUJIAN LI. "CC-DHCR PLANNING AND SCHEDULING METHOD BASED ON SLAB CLUSTER." Journal of Advanced Manufacturing Systems 07, no. 02 (2008): 249–52. http://dx.doi.org/10.1142/s0219686708001437.

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Focusing on the limitations of the traditional Continuous Casting-Direct Hot Charge Rolling (CC-DHCR) planning and scheduling methods that rarely consider dynamic scheduling problems, a new method is put forward. The key idea is to make out clusters and integrated plans in the planning layer, and then to adjust the rolling sequences according to the slab cluster-based strategy in the dynamic scheduling layer. Results of the test with data from practical production process show that the method can effectively solve the CC-DHCR planning and scheduling problem and increase the DHCR ratio.

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29

Li, Chao, Jinjin Tang, Jun Zhang, Qingqing Zhao, Lingli Wang, and Jian Li. "Integrated optimization of urban rail transit line planning, timetabling and rolling stock scheduling." PLOS ONE 18, no. 5 (2023): e0285932. http://dx.doi.org/10.1371/journal.pone.0285932.

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Urban rail transit train operation plan is a comprehensive production plan encompassing line planning, timetabling, and rolling stock scheduling. In order to solve the problem of infeasibility of the line plan and timetable because the number of rolling stocks could be only precisely considered in the rolling stock scheduling. An integrated optimization solution is proposed which considers the line plan, timetable, and rolling stock schedule. Candidate service routes are generated according to the layout of the turn-back stations. Considering the constraints of operation and passenger flow dem

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30

Borndörfer, Ralf, Thomas Eßer, Patrick Frankenberger, et al. "Deutsche Bahn Schedules Train Rotations Using Hypergraph Optimization." INFORMS Journal on Applied Analytics 51, no. 1 (2021): 42–62. http://dx.doi.org/10.1287/inte.2020.1069.

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Deutsche Bahn (DB) operates a large fleet of rolling stock (locomotives, wagons, and train sets) that must be combined into trains to perform rolling stock rotations. This train composition is a special characteristic of railway operations that distinguishes rolling stock rotation planning from the vehicle scheduling problems prevalent in other industries. DB models train compositions using hyperarcs. The resulting hypergraph models are addressed using a novel coarse-to-fine method that implements a hierarchical column generation over three levels of detail. This algorithm is the mathematical

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31

Suzuki, K., M. Svinin, and S. Hosoe. "A Study on Motion Planning for Rolling-Based Locomotion(Grasping(OS),Session: MP2-A)." Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM 2004.4 (2004): 32. http://dx.doi.org/10.1299/jsmeicam.2004.4.32_2.

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32

Trofimova, L. S., N. V. Lovygina, and P. V. Kochubei. "Planning rolling stock operation in international communications with modern requirements to cargo transportation technology." Russian Automobile and Highway Industry Journal 20, no. 6 (2024): 738–47. http://dx.doi.org/10.26518/2071-7296-2023-20-6-738-747.

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Introduction. The relevance of the research carried out is justified by the need to plan performance indicators of rolling stock in the context of changes in the technology of cargo transportation in international traffic when implementing the Draft Order of the Ministry of Transport of the Russian Federation. An obligatory element in the technology of cargo transportation is the re-coupling of a semi-trailer or reloading of cargo. In practice, there are additional costs for the transportation of goods due to the significant waiting time for interchange due to the deviation of the time of arri

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33

Li, Hai Tao, Su Jian Li, Di Wu, Fang Han, and Fang Wang. "Hot Rolling Batch Planning Problem Model Based on Genetic Algorithm." Advanced Materials Research 433-440 (January 2012): 2042–46. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.2042.

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To solve the hot rolling batch planning problem in production scheduling of iron and steel enterprises, a hot rolling batch planning model is formulated based on multiple travelling salesmen problem(MTSP) model. The objective is to minimize the total limit penalty value of adjacent stripped steels in width, thickness and hardness. The main constraints include jumps in width, thickness and hardness between adjacent stripped steels, which are essential for steel production process. An improved genetic algorithm is designed to solve the model. A simulation example shows the reasonability of the m

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Xu, Bao Yu, Yi Lun Liu, Xu Dong Wang, and Fang Dong. "Stochastic Excitation Model of Strip Rolling Mill." Advanced Materials Research 216 (March 2011): 378–82. http://dx.doi.org/10.4028/www.scientific.net/amr.216.378.

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The stochastic excitation power spectral density (PSD) model and ARMA time series model are established based on the stochastic rolling force acquisition data, which is processed into stationary, normal and zero mean from a aluminum hot strip tandem mill. Characteristics of rolling force ARMA time series models are discussed by means of random process theory. The rolling forces PSD function of facilitating engineering application is obtained by utilizing Levenberg-Marquardt combined with generalized global planning algorithm, and the stochastic excitation model is established. It provides the

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35

Wang, Lin, Zhiqiang Lu, and Yifei Ren. "A rolling horizon approach for production planning and condition-based maintenance under uncertain demand." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 233, no. 6 (2019): 1014–28. http://dx.doi.org/10.1177/1748006x19853671.

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In reality, the forecast of uncertainties often becomes more accurate with the approaching of the forecasted period. This article proposes a rolling horizon approach to dynamically determine the production plan and the maintenance plan for a degradation system under uncertain environment. In each rolling horizon, demand forecasts are updated with new information from customers, and the degradation level of system is confirmed by inspection. By taking advantage of the updated uncertainties, at each decision point, the maintenance plan is determined by an advance-postpone balancing approach and

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36

Кустов, М. А., Е. В. Ершов, and И. А. Варфоломеев. "Planning of slab rolling and heating at mill 5000 applying artificial intelligence technologies." Cherepovets State University Bulletin, no. 1(112) (February 15, 2023): 47–58. http://dx.doi.org/10.23859/1994-0637-2023-1-112-4.

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Цель исследовательской работы заключается в повышении производительности стана горячей прокатки и обеспечение технологических требований к прокатному производству. В статье рассмотрены методы оптимизации, применяемые для повышения производительности стана, и возможность применения искусственного интеллекта в сфере промышленности. Научная новизна заключается в разработке нового алгоритма оптимизации работы стана 5000, который позволит эффективно планировать процессы прокатки и нагрева. Ключевые слова: планирование, средства оптимизации, горячекатанный прокат, искусственный интеллект, прокатка,

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Kruse, Michael, Matthias Schuck, and Alexander Borowikow. "Innovations in Simulation of Microstructure Developments." Materials Science Forum 706-709 (January 2012): 2170–75. http://dx.doi.org/10.4028/www.scientific.net/msf.706-709.2170.

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Today almost all steel production fields use process models on the basis of analytic and numeric simulations. Planning and implementation of modern production in plants strategies can no longer be imagined without simulations in almost all fields of long and flat steel production. For the plant engineering and construction industry, planning of transformation processes and rolling mills can hardly be imagined without the use of modern simulation technology. The possibilities range from the simulation of material transformation behavior to the whole rolling process, extending to the load effect

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38

Gelumbickas, Gintaras, and Gediminas Vaičiūnas. "ANALYSIS OF PASSENGER ROLLING STOCK FAULTS AND ITS STATISTICS IN LITHUANIA." TRANSPORT 26, no. 3 (2011): 315–19. http://dx.doi.org/10.3846/16484142.2011.618190.

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Performed data analysis aims to determine the number of rolling stock breakdowns and how it depends on rolling stock age, the number of passengers and operations. The mathematical model, stated below, analyses correlation between passenger fleet upgrade intensity and the number of faults. When planning to buy some new rolling stock (3÷6 wagons electric or diesel trains) while using this model, the number of faults can be predicted up to five years.

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Jiravanstit, Rinrada, and Wipawee Tharmmaphornphilas. "Overhaul Resource Planning for Rolling Stock Using MIP Models." Engineering Journal 21, no. 5 (2017): 145–59. http://dx.doi.org/10.4186/ej.2017.21.5.145.

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40

BOOKBINDER, JAMES H., and BAK-TEE H'NG. "Rolling horizon production planning for probabilistic time-varying demands." International Journal of Production Research 24, no. 6 (1986): 1439–58. http://dx.doi.org/10.1080/00207548608919814.

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41

Sridharan, V., William L. Berry, and V. Udayabhanu. "Freezing the Master Production Schedule Under Rolling Planning Horizons." Management Science 33, no. 9 (1987): 1137–49. http://dx.doi.org/10.1287/mnsc.33.9.1137.

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42

ZHANG, Chungang. "Sub-optimality analysis of mobile robot rolling path planning." Science in China Series F 46, no. 2 (2003): 116. http://dx.doi.org/10.1360/03yf9010.

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Sridharan, Sri V., William L. Berry, and V. Udayabhanu. "MEASURING MASTER PRODUCTION SCHEDULE STABILITY UNDER ROLLING PLANNING HORIZONS." Decision Sciences 19, no. 1 (1988): 147–66. http://dx.doi.org/10.1111/j.1540-5915.1988.tb00259.x.

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44

Bhattacharya, S., and S. K. Agrawal. "Spherical rolling robot: a design and motion planning studies." IEEE Transactions on Robotics and Automation 16, no. 6 (2000): 835–39. http://dx.doi.org/10.1109/70.897794.

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45

Alouges, François, Yacine Chitour, and Ruixing Long. "A Motion-Planning Algorithm for the Rolling-Body Problem." IEEE Transactions on Robotics 26, no. 5 (2010): 827–36. http://dx.doi.org/10.1109/tro.2010.2053733.

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46

Kiss, Bálint, Jean Lévine, and Béla Lantos. "On Motion Planning for Robotic Manipulation with Rolling Contacts." IFAC Proceedings Volumes 33, no. 27 (2000): 255–60. http://dx.doi.org/10.1016/s1474-6670(17)37938-7.

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Tréfond, S., A. Billionnet, S. Elloumi, H. Djellab, and O. Guyon. "Optimization and simulation for robust railway rolling-stock planning." Journal of Rail Transport Planning & Management 7, no. 1-2 (2017): 33–49. http://dx.doi.org/10.1016/j.jrtpm.2017.02.001.

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Simpson, N. C. "Multiple level production planning in rolling horizon assembly environments." European Journal of Operational Research 114, no. 1 (1999): 15–28. http://dx.doi.org/10.1016/s0377-2217(98)00005-8.

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Wang, Xingbo, Xiaotao Wang, Zhongpeng Zhang, and Ying Zhao. "Motion Planning of Kinematically Redundant 12-tetrahedral Rolling Robot." International Journal of Advanced Robotic Systems 13, no. 1 (2016): 23. http://dx.doi.org/10.5772/62178.

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Bredström, D., P. Flisberg, and M. Rönnqvist. "A new method for robustness in rolling horizon planning." International Journal of Production Economics 143, no. 1 (2013): 41–52. http://dx.doi.org/10.1016/j.ijpe.2011.02.008.

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