Due to increasing demand uncertainty and product variety, manufacturing systems must
continually adapt to maintain productivity. Generally, decision-makers can maintain flexibility …

This paper proposes a new integration method for cell formation, group scheduling,
production, and preventive maintenance (PM) planning problems in a dynamic cellular …

Cellular manufacturing systems are widely used due to their advantageous capability of
combining the flexibility of the job-shop and the productivity of the flow-shop. In recent years …

This paper presents a novel decision support system (DSS) to address the University
Course Timetabling Problem (UCTP). The solution decomposes the NP-complete UCTP into …

In this study, a mixed integer, linear, multi-stage, stochastic programming model is
developed for multi-product aggregate production planning (APP). An approximation is used …

This study deals with the interaction of dynamic cellular manufacturing (DCM) and
hierarchical production planning (HPP) problems with stochastic demands for the first time …

Purpose In a cell production system, a number of machines that differ in function are housed
in the same cell. The task of these cells is to complete operations on similar parts that are in …

This study addresses a stochastic customer order production problem in cellular
manufacturing systems with parallel machines. The objective is to minimize the long-run …

Simulation is utilized to analyze multi-item and multi-stage production systems that are
driven by material requirements planning (MRP). The range of possible parameter …

Objective: Cellular production is one of the important applications of group technology in
production. With the development of modern industrial technology, many manufacturers use …