Quotation Tavaghof-Gigloo, Dariush, Minner, Stefan, Silbermayr, Lena. 2016. Mixed integer linear programming formulation for flexibility instruments in capacity planning problems. Computers and Industrial Engineering 97, 101-110.


RIS


BibTeX

Abstract

We present a mixed integer linear programming (MILP) approach for an aggregate production planning (APP) problem of an electronics manufacturer. A multi-item, multi-facility, multi-stage capacity planning problem over a finite planning horizon with deterministic demand is considered. We include the flexibility instruments shift planning, overtime account, and flexible maintenance. We present an extensive computational study where the proposed model is applied in a real-world case study and for randomly generated instances. Using a full factorial experimental design we evaluate the cost saving potentials of the flexibility instruments and their combinations. The computational efficiency of the proposed model formulation is investigated by different MILP solvers.

Tags

Press 'enter' for creating the tag

Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Computers and Industrial Engineering
Citation Index SCI
WU-Journal-Rating new INF-A, STRAT-B, WH-B
Language English
Title Mixed integer linear programming formulation for flexibility instruments in capacity planning problems
Volume 97
Year 2016
Page from 101
Page to 110
Reviewed? Y
DOI http://dx.doi.org/10.1016/j.cie.2016.04.013

Associations

People
Silbermayr, Lena (Details)
External
Minner, Stefan (TUM School of Management, Germany)
Tavaghof-Gigloo, Dariush (TUM School of Management, Germany)
Organization
Information Systems and Operations DP (Details)
Google Scholar: Search