Genetic algorithms (GAs) are perhaps the oldest and most frequently used search
techniques for dealing with complex and intricate real-life problems that are otherwise …

This study investigates a supply chain of perishable fruits and vegetables. A simulation
model using system dynamics approach is proposed to study the behaviors and …

The use of genetic algorithm for supply chain management with its ability to evolve solutions,
handle uncertainty, and perform optimization remains to be a leading field of study. The …

This paper proposes an integer linear programming formulation for a simultaneous lot sizing
and scheduling problem in a job shop environment. Among others, one of our realistic …

Due to high delivery costs, manufacturers are usually required to dispatch their jobs as
batches. However, this approach causes several crucial problems in scheduling-related …

Capacitated production lot-sizing problems (LSPs) are challenging problems to solve due to
their combinatorial nature. We consider a multi-item capacitated LSP with setup times, safety …

This paper formulates a new imperfect production problem that generates defectives
randomly. The production manager conducts total inspections to screen defectives …

Real world final products have almost multilevel structures, where different items are
assembled together according to predefined bill of materials. Also, each item must …

This paper deals with an inventory model for a deteriorating item. Here the demand is
considered as fuzzy in nature which depends on unit selling price as well as credit period …

This research studies multi-objective master production schedule (MPS) and advanced
order commitment (AOC) in two-stage supply chains. Simulation-based experimental …