Characterizing continuous (s, S) policy with supplier selection using Simulation Optimization. (May 2017)
- Record Type:
- Journal Article
- Title:
- Characterizing continuous (s, S) policy with supplier selection using Simulation Optimization. (May 2017)
- Main Title:
- Characterizing continuous (s, S) policy with supplier selection using Simulation Optimization
- Authors:
- Göçken, Mustafa
Dosdoğru, Ayşe Tuğba
Boru, Aslı
Geyik, Faruk - Abstract:
- A real-world inventory control system, due to its nonlinear, stochastic, time-dependent nature, and the presence of complex interactions between supply chain members, can become quite challenging to optimize and requires a complex model. At this point, the Simulation Optimization (SO) model gains a better understanding of the complex and messy phenomenon of the inventory control of supply chain members. By creating SO models for Distribution Center (DC)s and Suppliers, we wish to present flexible and comprehensible research on the important decision of whether to minimize the differences between total overordering cost and total underordering cost (Model 1) or to minimize the total supply chain cost (Model 2). We also try to point out several important issues: the optimal value of the initial inventory, the reorder point, and the order-up-to level in continuous (s, S) policy for each DC and each Supplier; whether SO models can successfully integrate the supplier selection and continuous (s, S) policy for the supply chain environment; how to apply statistical analysis skills to compare these SO models with a greater level of detail. According to the cost analysis, the total supply chain cost of Model 1 is improved approximately 22% with Model 2. Also, Model 2 is the best one according to quantity-based analysis, order-based analysis, probability-based analysis, and lead-time-based analysis. Model 2 can be successfully applied for the actual situation of the supply chainA real-world inventory control system, due to its nonlinear, stochastic, time-dependent nature, and the presence of complex interactions between supply chain members, can become quite challenging to optimize and requires a complex model. At this point, the Simulation Optimization (SO) model gains a better understanding of the complex and messy phenomenon of the inventory control of supply chain members. By creating SO models for Distribution Center (DC)s and Suppliers, we wish to present flexible and comprehensible research on the important decision of whether to minimize the differences between total overordering cost and total underordering cost (Model 1) or to minimize the total supply chain cost (Model 2). We also try to point out several important issues: the optimal value of the initial inventory, the reorder point, and the order-up-to level in continuous (s, S) policy for each DC and each Supplier; whether SO models can successfully integrate the supplier selection and continuous (s, S) policy for the supply chain environment; how to apply statistical analysis skills to compare these SO models with a greater level of detail. According to the cost analysis, the total supply chain cost of Model 1 is improved approximately 22% with Model 2. Also, Model 2 is the best one according to quantity-based analysis, order-based analysis, probability-based analysis, and lead-time-based analysis. Model 2 can be successfully applied for the actual situation of the supply chain inventory system and companies can obtain a remarkable amount of saving while increasing their competitive edge. … (more)
- Is Part Of:
- Simulation. Volume 93:Number 5(2017)
- Journal:
- Simulation
- Issue:
- Volume 93:Number 5(2017)
- Issue Display:
- Volume 93, Issue 5 (2017)
- Year:
- 2017
- Volume:
- 93
- Issue:
- 5
- Issue Sort Value:
- 2017-0093-0005-0000
- Page Start:
- 379
- Page End:
- 396
- Publication Date:
- 2017-05
- Subjects:
- Continuous (s, S) policy -- inventory control system -- supplier selection -- Simulation Optimization
Computer simulation -- Periodicals
003.3 - Journal URLs:
- http://SIM.sagepub.com/ ↗
http://fidelio.ingentaselect.com/vl=3713861/cl=37/nw=1/rpsv/ij/sage/00375497/contp1.htm ↗
http://firstsearch.oclc.org ↗
http://www.uk.sagepub.com/home.nav ↗ - DOI:
- 10.1177/0037549716687044 ↗
- Languages:
- English
- ISSNs:
- 0037-5497
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
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