Separable models for interconnected production-inventory systems. Issue 1 (2nd January 2020)
- Record Type:
- Journal Article
- Title:
- Separable models for interconnected production-inventory systems. Issue 1 (2nd January 2020)
- Main Title:
- Separable models for interconnected production-inventory systems
- Authors:
- Otten, Sonja
Krenzler, Ruslan
Daduna, Hans - Abstract:
- Abstract: We investigate a new class of separable systems which exhibit a product-form stationary distribution. These systems consist of parallel production systems (servers) at several locations, each with a local inventory under base stock policy, connected with a common supplier network. Demand of customers arrives at each production system according to a Poisson process and is lost if the local inventory is depleted ("lost sales"). To satisfy a customer's demand a production server needs raw material from the associated local inventory. The supplier network is a classical queueing network. We investigate two different lost sales regimes, either based on total inventory or on available inventory. We perform cost analysis to find the optimal base stock levels, which is due to the product-form stationary distribution a separable optimization problem. Finally, we demonstrate that the explicit product forms for both stationary distributions enable us to compare main performance metrics of the systems under the different lost sales admission regimes.
- Is Part Of:
- Stochastic models. Volume 36:Issue 1(2020)
- Journal:
- Stochastic models
- Issue:
- Volume 36:Issue 1(2020)
- Issue Display:
- Volume 36, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 36
- Issue:
- 1
- Issue Sort Value:
- 2020-0036-0001-0000
- Page Start:
- 48
- Page End:
- 93
- Publication Date:
- 2020-01-02
- Subjects:
- Admission control -- base stock policy -- inventory control -- lost sales -- Markovian analysis -- product-form steady state -- queueing networks -- separability -- supply chain dynamics
60K25 -- 90B30 -- 90B22 -- 90B05 -- 60K20 -- 60K30
Stochastic processes -- Periodicals
Probabilities -- Periodicals
519.2 - Journal URLs:
- http://www.tandfonline.com/toc/lstm20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/15326349.2019.1692667 ↗
- Languages:
- English
- ISSNs:
- 1532-6349
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8465.280000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 12948.xml