Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
On the value of information in dynamic production inventory problems under forecast evolution
Date
1996-03-01
Author
Gullu, R
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
142
views
0
downloads
Cite This
In this article we explore how total system costs and inventory positions are affected when forecasts are incorporated explicitly in production/inventory systems. We assume that forecasts for demand of a certain item are available in each period, and they evolve from one period to the next in accordance with an additive evolution model. In order to analyze the effects of the forecasts on the production/inventory system we compare the optimal ordering policy and the expected costs of the model that keeps forecasts with that of a comparable standard inventory model. We show that under mild assumptions the former yields lower expected costs and inventory levels than the latter. (C) 1996 John Wiley & Sons, Inc.
Subject Keywords
Limited production capacity
,
Inventory model
,
Uncertain demands
,
Cost criterion
URI
https://hdl.handle.net/11511/63806
Journal
NAVAL RESEARCH LOGISTICS
Collections
Department of Industrial Engineering, Article
Suggestions
OpenMETU
Core
A two-echelon allocation model and the value of information under correlated forecasts and demands
Gullu, R (1997-06-01)
In this article we explore the effects of incorporating forecasts explicitly in a two-echelon allocation model which consists of a central depot and several retailers. In particular, we investigate the possible benefits on the system costs and inventory levels. The depot does not hold any inventory and the demand is observed only at the retailers. Under a general correlated demand-forecast structure we obtain the approximate system-wide order-up-to level and the expected system cost. In order to assess the ...
The Impact of Modeling on Robust Inventory Management Under Demand Uncertainty
Solyali, Oguz; Cordeau, Jean-Francois; Laporte, Gilbert (2016-04-01)
This study considers a basic inventory management problem with nonzero fixed order costs under interval demand uncertainty. The existing robust formulations obtained by applying well-known robust optimization methodologies become computationally intractable for large problem instances due to the presence of binary variables. This study resolves this intractability issue by proposing a new robust formulation that is shown to be solvable in polynomial time when the initial inventory is zero or negative. Becau...
Analysis of an inventory system with advance emand information and supply uncertainty
Arıkan, Emel; Süral, Haldun; Department of Industrial Engineering (2005)
In this study we address a periodic review capacitated inventory system with supply uncertainty where advance demand information is available. A stochastic dynamic programming formulation is applied with the objective of minimizing the expected inventory related costs over a finite horizon. Three different supply processes are assumed. Under the all-or-nothing type supply process and partially available supply process, the structure of optimal policy is proved to be a base stock policy and numerical example...
Apply Quantitative Management Now
TARHAN, AYÇA; Demirörs, Onur (Institute of Electrical and Electronics Engineers (IEEE), 2012-05-01)
The Assessment Approach for Quantitative Process Management (A2QPM) helps identify software process measures for quantitative analysis even when organizations lack formal systems for process measurement. A2QPM is the first approach to quantitative management that offers software organizations a well-defined, detailed guideline for assessing their software processes and applying beneficial quantitative techniques to improve them. All the A2QPM applications we've described resulted in quantitative analysis im...
On forward interest rate models : via random fields and Markov jump processes
Altay, Sühan; Körezlioğlu, Hayri; Department of Financial Mathematics (2007)
The essence of the interest rate modeling by using Heath-Jarrow-Morton framework is to find the drift condition of the instantaneous forward rate dynamics so that the entire term structure is arbitrage free. In this study, instantaneous forward interest rates are modeled using random fields and Markov Jump processes and the drift conditions of the forward rate dynamics are given. Moreover, the methodology presented in this study is extended to certain financial settings and instruments such as multi-country...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
R. Gullu, “On the value of information in dynamic production inventory problems under forecast evolution,”
NAVAL RESEARCH LOGISTICS
, pp. 289–303, 1996, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/63806.