Title of article :
Integrated production planning and warehouse layout problem under uncertainty: A robust possibilistic approach
Author/Authors :
Sabbaghnia, Ali School of Industrial Engineering - College of Engineering - University of Tehran , Heydari, Jafar School of Industrial Engineering - College of Engineering - University of Tehran , Razmi, Jafar School of Industrial Engineering - College of Engineering - University of Tehran
Abstract :
This study investigates the joint production planning and warehouse layout under
uncertainty. Today’s competitive business world needs to be investigated by models which
are capable of considering uncertain nature of the problems, especially when the historical
data is not available or the level of uncertainty is high. Joint production planning and
warehouse layout problems is almost a novel and new area in both academics and practice.
For warehousing problem, the eventually of rental warehouses and new allocations is
enabled in each planning horizon period. A bi-objective MILP model is proposed and fuzzy
distributed parameters and chance constraints are taken into considerations. One of the
objective functions deals with the cost associated parameters and variables while the
second one minimizes the fluctuations of the work labor in each planning period. A simple
test problem along with a case study is investigated by the proposed model. The obtained
results prove the applicability of the proposed model in real-world scale problems.
Keywords :
Warehouse layout , production planning , robust possibilistic programming , fuzzy programing
Journal title :
Journal of Industrial and Systems Engineering (JISE)