Management of a high mix production system with interdependent demands: global and decomposed optimization approaches for inventory control

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2009.

Bibliographic Details
Main Author: Facelli, Alberto
Other Authors: Stanley B. Gershwin.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2010
Subjects:
Online Access:http://hdl.handle.net/1721.1/55214
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author Facelli, Alberto
author2 Stanley B. Gershwin.
author_facet Stanley B. Gershwin.
Facelli, Alberto
author_sort Facelli, Alberto
collection MIT
description Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2009.
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spelling mit-1721.1/552142019-04-10T08:41:48Z Management of a high mix production system with interdependent demands: global and decomposed optimization approaches for inventory control Facelli, Alberto Stanley B. Gershwin. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Mechanical Engineering. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2009. Includes bibliographical references (p. 118-120). In this work the management of a production system with a high mixture of products, interdependent demands and optional components is analyzed. An approach based on reorder point policy is proposed for both raw parts and finished goods inventory control. In the latter case, the solution of an optimization problem determines whether each product should be held in inventory and if so which safety factor z should be used. The choice of z, and as a consequence of the reorder level R, takes into consideration the demands interdependence, the customer's availability to buy if a certain waiting time is quoted to them and the fact that in a certain type of orders the optional components are required to ship. Global and decomposed optimization approaches are presented and compared. The decomposed approach is shown to achieve performances very close to the ones of the global optimization with much easier computations. By using the policy based on the decomposed optimization, it is possible to reduce simultaneously the value of the inventory and the expected number of lost sales as compared to a simple reorder point policy or to the policy currently in use at the company. A reduction of 35% of inventory and of almost 10 times of the average value of lost sales is expected if the company substitutes the current policy with the proposed one. by Alberto Facelli. M.Eng. 2010-05-25T21:05:19Z 2010-05-25T21:05:19Z 2009 2009 Thesis http://hdl.handle.net/1721.1/55214 611131953 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 120 p. application/pdf Massachusetts Institute of Technology
spellingShingle Mechanical Engineering.
Facelli, Alberto
Management of a high mix production system with interdependent demands: global and decomposed optimization approaches for inventory control
title Management of a high mix production system with interdependent demands: global and decomposed optimization approaches for inventory control
title_full Management of a high mix production system with interdependent demands: global and decomposed optimization approaches for inventory control
title_fullStr Management of a high mix production system with interdependent demands: global and decomposed optimization approaches for inventory control
title_full_unstemmed Management of a high mix production system with interdependent demands: global and decomposed optimization approaches for inventory control
title_short Management of a high mix production system with interdependent demands: global and decomposed optimization approaches for inventory control
title_sort management of a high mix production system with interdependent demands global and decomposed optimization approaches for inventory control
topic Mechanical Engineering.
url http://hdl.handle.net/1721.1/55214
work_keys_str_mv AT facellialberto managementofahighmixproductionsystemwithinterdependentdemandsglobalanddecomposedoptimizationapproachesforinventorycontrol