Systems and Means of Informatics
2018, Volume 28, Issue 4, pp 136-144
SITUATIONAL PRODUCTION PLANNING IN A NETWORK M2M-SYSTEM
Abstract
A methodology for situational planning of production (electricity, water, etc.) in a network M2M (machine-to-machine) system is proposed.
The methodology includes methods for constructing an object model using measurement data, forming portraits of situations (target, achieved, and starting), and interactive production planning. The object model describes economic characteristics of the nodes and distribution of the product streams moving along the network arcs, depending on the amount of product sent from the producing nodes and delivered to the consuming nodes. At each step of planning, the problem formulation depends on the results of analysis of the situations' portraits. The key component of the computational core is the method of target displacement of solution. The methodology is oriented to implementation by means of online services and is designed for use in network M2M-systems.
[+] References (19)
- Masud, A. S., and C. L. Hwang. 1980. An aggregate production planning model and application of three multiple objective decision methods. Int. J. Prod. Res. 18:741-752.
- Foote, B. L., A. Ravindran, and S. Lashine. 1988. Production planning and scheduling: Computational feasibility of multi-criteria models of production, planning and scheduling. Comput. Ind. Eng. 15:129-138.
- Nam, S. J., and R. Logendran. 1992. Aggregate production planning - a survey of models and methodologies. Eur. J. Oper. Res. 61:255-272.
- Byrne, M. D, and M. A. Bakir. 1999. Production planning using a hybrid simulation - analytical approach. Int. J. Prod. Econ. 59:305-311.
- Hung, Y. F, C. C. Shih, and C. P. Chen. 1999. Evolutionary algorithms for production planning problems with setup decisions. J. Oper. Res. Soc. 50:857-866.
- Wang, R. C., and H.H. Fang. 2001. Aggregate production planning with multiple objectives in a fuzzy environment. Eur. J. Oper. Res. 133:521-536.
- Leung, S. C., Y. Wu, and K. K. Lai. 2003. Multi-site aggregate production planning with multiple objectives: A goal programming approach. Prod. Plan. Control 14:425436.
- Ilyin, V. D. 1973. Operativnoe raspredelenie nagruzok v energosisteme [A methodology for operative load distribution in the power system]. Avtomatizirovannye sistemy kontrolya i upravleniya [Automated control and monitoring systems]. Kiev: Institute of Cybernetics of the Academy of Sciences of Ukraine. 70-76.
- Government of the Russian Federation. July 28, 2017. Tsifrovaya ekonomika Rossiyskoy Federatsii [The program "Digital Economy of the Russian Federation"]. Approved by Government Order No. 1632-r. 87 p. Available at: http://d-russia.ru/ wp-content/uploads/2017/07/programma-tsifrov-econ.pdf (accessed September 10, 2018).
- IEEE. 2010. Machine to Machine (M2M) Communications Technical Report 802.16p- 10/0005.
- Kim, R. Y. 2011. Efficient wireless communications schemes for machine to machine communications. Comm. Com. Inf. Sc. 181 (3):313-323.
- Lien, S.Y., T.H. Liau, C.Y. Kao, and K. C. Chen. 2012. Cooperative access class barring for machine-to-machine communications. IEEE T. Wirel. Commun. 11(1):27- 32.
- General Electric. 2018. The Digital Twin. Available at: https://www.ge.com/ d igita l/sites/defa ult/files/The-Digital-Twi n_Compressi ng-Time-to-Value-for-Digital- Industrial-Companies.pdf (accessed October 31, 2018).
- Ilyin, V. D. 1996. Osnovaniya situatsionnoy informatizatsii [Fundamentals of situational informatization]. Moscow: Nauka, Fizmatlit. 180 p.
- Ilyin, V.D., Yu.V. Gavrilenko, A.V. Ilyin, and E. M. Makarov. 1996. Matema- ticheskie sredstva situatsionnoy informatizatsii [Mathematical means of situational informatization]. Moscow: Nauka, Fizmatlit. 88 p.
- Ilyin, A. V., and V. D. Ilyin. 2018. Model' raspredeleniya potokovv odnoproduktovoy setevoy sisteme [The model of flows distribution in a single-product network system]. Sistemy i Sredstva Informatiki -Systems and Means of Informatics 28(2): 17 0-177.
- Ilyin, A. V. 2013. Ekspertnoe planirovanie resursov [Expert resource planning]. Moscow: IPI RAN. 58 p. Available at: https://www.researchgate.net/publication/ 259654243 (accessed September 10, 2018).
- Ilyin, A. V., and V. D. Ilyin. 2018. Situational online resource planning in accordance with mandatory and orienting rules. Sistemy i Sredstva Informatiki - Systems and Means of Informatics 28(1): 177-191.
- Ilyin, V.D. 2018. Simvol'noe modelirovanie [Symbolic modeling]. Bol'shaya rossiyskaya entsiklopediya [Great Russian Encyclopedia]. Available at: http://dev. bigenc.ru/technology_and_technique/text/4010980 (accessed September 10, 2018).
[+] About this article
Title
SITUATIONAL PRODUCTION PLANNING IN A NETWORK M2M-SYSTEM
Journal
Systems and Means of Informatics
Volume 28, Issue 4, pp 136-144
Cover Date
2018-11-30
DOI
10.14357/08696527180413
Print ISSN
0869-6527
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
network M2M-system; situational production planning; system of mandatory and orienting requirements; method of target displacement of solution; online service
Authors
A. V. Ilyin  and V. D. Ilyin 
Author Affiliations
State Research Institute of Aviation Systems, 7 Viktorenko Str., Moscow 125319,
Russian Federation
Dorodnicyn Computing Center of the Federal Research Center "Computer Science
and Control" of the Russian Academy of Sciences, 40 Vavilova Str., Moscow 119333, Russian Federation
|