Author
Seyfishishavan, Seyed Amin, Yanıkoğlu, İhsan, Yılmaz, G.
Publication Date
2023-12
Publication Place
-
Springer
Subject
Multi-stage decision making, Production planning, Stochastic programming, Workforce scheduling
Type
Periodical
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
0254-5330
Record ID
09196880-a7cb-4738-9f3c-f7e66a4a86e3
Library Location
Industrial Engineering
Date
2023-12
Notes
TÜBİTAK
Sample Text
This study proposes a multi-stage stochastic production planning approach for a joint lot sizing and workforce scheduling problem under demand uncertainty. Scenario trees are used to model uncertainty in demand, and a multi-stage scenario-based stochastic linear program is developed. This model allows for both here-and-now and wait-and-see decisions providing flexibility for decision-makers to adjust production quantities according to the realized portion of demand and improve the overall effectiveness of production planning by better managing the number of active lines, workforce, and inventory levels. A matheuristic is developed for large-sized instances, which yields near-optimal solutions in practicable computation times. The proposed methods are demonstrated over a real data set taken from a Turkish home and professional appliances company, Vestel. The results show significant improvements in cost and CPU time performances for benchmark approaches, verifying the effectiveness of the proposed method.
DOI
10.1007/s10479-023-05741-4
