Performance determination for MSS manufacturing system by Lz-transform and stochastic processes approach

Ilia Frenkel; Svetlana Daichman; Lev Khvatskin; Neta Avraham; Oshrit Zihry; Anatoly Lisnianski

doi:10.1109/ARES.2014.58

Performance determination for MSS manufacturing system by Lz-transform and stochastic processes approach

Ilia Frenkel
, Svetlana Daichman
, Lev Khvatskin
, Neta Avraham
, Oshrit Zihry
, Anatoly Lisnianski

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

We analyzed performance of industrial animal food additives manufacturer. Our primary focus is on production of food supplement for growing chickens. In order to determine the performance of manufacturing production system we constructed a mathematical model that based on Markov chains and represents the different states of each element and sub-systems in the system and the various production levels. The system can be represented as Markov model with 48 different states expressing the different performance levels of the entire process and created as system with 48 differential equations, solution of which is complicated problem. To overcome this obstacle we propose an application of the Lz-transform method for performance assessment of aging multi-state system (MSS) and its manufacturing capability. We demonstrated that the suggested method can be implemented in engineering decision making and construction of various MSS aging systems related to requirements, availability and production.

Original language	English
Title of host publication	Proceedings - Ninth International Conference on Availability, Reliability and Security, ARES 2014
Publisher	Institute of Electrical and Electronics Engineers
Pages	387-392
Number of pages	6
ISBN (Electronic)	9781479942237
DOIs	https://doi.org/10.1109/ARES.2014.58
State	Published - 9 Dec 2014
Externally published	Yes
Event	9th International Conference on Availability, Reliability and Security, ARES 2014 - Fribourg, Switzerland Duration: 8 Sep 2014 → 12 Sep 2014

Publication series

Name	Proceedings - 9th International Conference on Availability, Reliability and Security, ARES 2014

Conference

Conference	9th International Conference on Availability, Reliability and Security, ARES 2014
Country/Territory	Switzerland
City	Fribourg
Period	8/09/14 → 12/09/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Lz -transform method
Markov model
Multi-state system
Performance
Stochastic proccess

ASJC Scopus subject areas

Safety, Risk, Reliability and Quality

Access to Document

10.1109/ARES.2014.58

Cite this

Frenkel, I., Daichman, S., Khvatskin, L., Avraham, N., Zihry, O., & Lisnianski, A. (2014). Performance determination for MSS manufacturing system by Lz-transform and stochastic processes approach. In Proceedings - Ninth International Conference on Availability, Reliability and Security, ARES 2014 (pp. 387-392). (Proceedings - 9th International Conference on Availability, Reliability and Security, ARES 2014). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ARES.2014.58

Frenkel, Ilia ; Daichman, Svetlana ; Khvatskin, Lev et al. / Performance determination for MSS manufacturing system by Lz-transform and stochastic processes approach. Proceedings - Ninth International Conference on Availability, Reliability and Security, ARES 2014. Institute of Electrical and Electronics Engineers, 2014. pp. 387-392 (Proceedings - 9th International Conference on Availability, Reliability and Security, ARES 2014).

@inproceedings{d2ce5015ec884ebc8d1ff8062e5ba64e,

title = "Performance determination for MSS manufacturing system by Lz-transform and stochastic processes approach",

abstract = "We analyzed performance of industrial animal food additives manufacturer. Our primary focus is on production of food supplement for growing chickens. In order to determine the performance of manufacturing production system we constructed a mathematical model that based on Markov chains and represents the different states of each element and sub-systems in the system and the various production levels. The system can be represented as Markov model with 48 different states expressing the different performance levels of the entire process and created as system with 48 differential equations, solution of which is complicated problem. To overcome this obstacle we propose an application of the Lz-transform method for performance assessment of aging multi-state system (MSS) and its manufacturing capability. We demonstrated that the suggested method can be implemented in engineering decision making and construction of various MSS aging systems related to requirements, availability and production.",

keywords = "Lz -transform method, Markov model, Multi-state system, Performance, Stochastic proccess",

author = "Ilia Frenkel and Svetlana Daichman and Lev Khvatskin and Neta Avraham and Oshrit Zihry and Anatoly Lisnianski",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 9th International Conference on Availability, Reliability and Security, ARES 2014 ; Conference date: 08-09-2014 Through 12-09-2014",

year = "2014",

month = dec,

day = "9",

doi = "10.1109/ARES.2014.58",

language = "English",

series = "Proceedings - 9th International Conference on Availability, Reliability and Security, ARES 2014",

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Frenkel, I, Daichman, S, Khvatskin, L, Avraham, N, Zihry, O & Lisnianski, A 2014, Performance determination for MSS manufacturing system by Lz-transform and stochastic processes approach. in Proceedings - Ninth International Conference on Availability, Reliability and Security, ARES 2014. Proceedings - 9th International Conference on Availability, Reliability and Security, ARES 2014, Institute of Electrical and Electronics Engineers, pp. 387-392, 9th International Conference on Availability, Reliability and Security, ARES 2014, Fribourg, Switzerland, 8/09/14. https://doi.org/10.1109/ARES.2014.58

Performance determination for MSS manufacturing system by Lz-transform and stochastic processes approach. / Frenkel, Ilia; Daichman, Svetlana; Khvatskin, Lev et al.
Proceedings - Ninth International Conference on Availability, Reliability and Security, ARES 2014. Institute of Electrical and Electronics Engineers, 2014. p. 387-392 (Proceedings - 9th International Conference on Availability, Reliability and Security, ARES 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Performance determination for MSS manufacturing system by Lz-transform and stochastic processes approach

AU - Frenkel, Ilia

AU - Daichman, Svetlana

AU - Khvatskin, Lev

AU - Avraham, Neta

AU - Zihry, Oshrit

AU - Lisnianski, Anatoly

PY - 2014/12/9

Y1 - 2014/12/9

N2 - We analyzed performance of industrial animal food additives manufacturer. Our primary focus is on production of food supplement for growing chickens. In order to determine the performance of manufacturing production system we constructed a mathematical model that based on Markov chains and represents the different states of each element and sub-systems in the system and the various production levels. The system can be represented as Markov model with 48 different states expressing the different performance levels of the entire process and created as system with 48 differential equations, solution of which is complicated problem. To overcome this obstacle we propose an application of the Lz-transform method for performance assessment of aging multi-state system (MSS) and its manufacturing capability. We demonstrated that the suggested method can be implemented in engineering decision making and construction of various MSS aging systems related to requirements, availability and production.

AB - We analyzed performance of industrial animal food additives manufacturer. Our primary focus is on production of food supplement for growing chickens. In order to determine the performance of manufacturing production system we constructed a mathematical model that based on Markov chains and represents the different states of each element and sub-systems in the system and the various production levels. The system can be represented as Markov model with 48 different states expressing the different performance levels of the entire process and created as system with 48 differential equations, solution of which is complicated problem. To overcome this obstacle we propose an application of the Lz-transform method for performance assessment of aging multi-state system (MSS) and its manufacturing capability. We demonstrated that the suggested method can be implemented in engineering decision making and construction of various MSS aging systems related to requirements, availability and production.

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KW - Multi-state system

KW - Performance

KW - Stochastic proccess

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BT - Proceedings - Ninth International Conference on Availability, Reliability and Security, ARES 2014

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ER -

Frenkel I, Daichman S, Khvatskin L, Avraham N, Zihry O, Lisnianski A. Performance determination for MSS manufacturing system by Lz-transform and stochastic processes approach. In Proceedings - Ninth International Conference on Availability, Reliability and Security, ARES 2014. Institute of Electrical and Electronics Engineers. 2014. p. 387-392. (Proceedings - 9th International Conference on Availability, Reliability and Security, ARES 2014). doi: 10.1109/ARES.2014.58

Performance determination for MSS manufacturing system by Lz-transform and stochastic processes approach

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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