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2012 | 22 | 1 | 5-12

Article title

A quantitative management support model for a certain production supply system in non-extreme states

Selected contents from this journal

Title variants

Languages of publication

EN

Abstracts

EN
The paper is devoted to building a probabilistic method of analyzing the operation of a certain production supply system. The analysis is carried out for non-extreme states of the level in store, into which two separate streams of production (the product) are directed. A system of partial differential equations describing this case was derived which is satisfied by the joint density function defining the probabilities of states of the three-dimensional process characterizing the system’s functioning.

Year

Volume

22

Issue

1

Pages

5-12

Physical description

Contributors

  • University of Business in Wrocław, ul. Ostrowskiego 22, 53-238 Wrocław, Poland
  • Department of Management, Gen. Tadeusz Kościuszko Military Academy of Land Forces, ul. Czajkowskiego 109, 51-150 Wrocław, Poland
  • Institute of Organisation and Management, Wrocław University of Technology, ul. Smoluchowskiego 25, 50-372 Wrocław, Poland

References

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  • DOOB J.L., Stochastic Processes, Wiley, New York 1953.
  • GALANC T., Związki między rozkładami bariery dolnej i parametrami zagregowanego wejścia pewnego systemu produkcyjno-zaopatrzeniowego, Przegląd Statystyczny, 1997, 44 (2), 235–239.
  • GALANC T., Conditional probabilities of non-extreme states describing the bottleneck of a certain inventory system with an aggregated dynamic-parameter input, Modelling, Measurement and Control, 1998, 17 (1/2), 27–35.
  • GALANC T., Związki między rozkładami prawdopodobieństwa maksymalnego poziomu zapasów a parametrami niezagregowanego procesu podaży produktu, Przegląd Statystyczny, 1998, 45 (2), 177–182.
  • GALANC T., Matematyczna analiza działania pewnego systemu gromadzenia i wydawania zapasówa dynamicznych parametrach niezagregowanego procesu podaży produktu, Przegląd Statystyczny,1998, 45 (2), 227–233.
  • GALANC T., Conditional probabilities of low states describing the bottleneck of a certain inventorysystem with an aggregated dynamic-parameter input, System, 2004, 9 (1/2), 61–65.
  • GICHMAN I.I., SKOROCHOD A.W., Wstęp do teorii procesów stochastycznych, PWN, Warszawa 1968.
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  • KRÓL M., O wskaźnikach oceny niekorzystnych zjawisk w pracy pewnego systemu gospodarki zapasami,Badania Operacyjne i Decyzje, 1992 (4), 65–68.
  • MERCIK J., GALANC T., Relations between probabilities of high states describing the bottleneck ofcertain inventory system and the dynamic parameters of an aggregated input, Systems: Journal ofTransdisciplinary Systems Science, 2007, 12 (3), 3–7.
  • MERCIK J., GALANC T., A mathematical description of a bottleneck in a certain inventory system inthe case of an aggregated dynamic-parameter input, Systems: Journal of Transdisciplinary SystemsScience, 2008, 13 (1/2), 12–20.
  • RUDI N., KAPUR S., PYKE D.F., A Two-Location Inventory Model with Transshipment and Local Decision Making, Management Science, 2001, 47 (12), 1668–1680.
  • SO K.C., Optimal buffer allocation strategy for minimizing work-in process inventory in unpacked production lines, IIE Transactions P97, 29, 81–88.
  • ŚWIĄTEK J., GALANC T., Probabilities of an upper-limit barrier in the problem of the identification of barrier in the functioning of a certain inventory storage and issue system, System Science, 2008, 34 (3), 5–9.
  • ŚWIĄTEK J., GALANC T., Identification of barrier in the functioning of a certain inventory storage and issue system, System Science, 2010, 36 (2), 11–14.
  • WANG Y., COHEN MP.A., ZHENG Y.S., A Two-Echelon Repairable Inventory System with Stocking Center-Dependent Depot Replenishment Lead Times, Management Science, 2000, 46 (11), 1441–1453.

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.desklight-5357e7b7-d5df-4da7-ae1e-b5e691171ec9
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