In this paper, we develop a new mathematical model that integrates layout configuration and production planning in the design of dynamic distributed layouts. The model incorporates a number of important manufacturing attributes such as demand fluctuation, system reconfiguration, lot splitting, work load balancing, alternative routings, machine capability and tooling requirements. In addition, t...

Nowadays, researches pay more attention to environmental concerns consisted of various communities. This study proposes a multi-echelon, multi-period closed-loop supply chain (CLSC). A comprehensive model considers the selection of selection of technology and environmental effects. The supply chain is under a build-to-order (BTO) environment. So, there is not a final product inventory. Also, th...

This contribution gives an overview on the state-of-the-art and recent advances in mixed integer optimization to solve planning and design problems in the process industry. In some case studies specific aspects are stressed and the typical difficulties of real world problems are addressed. Mixed integer linear optimization is widely used to solve supply chain planning problems. Some of the comp...

This paper addresses a multi-period investment problem for the selection, acquisition, and allocation of alternative technology choices to meet the demand of a number of product families over a long-range planning horizon. We first show that the problem is NP-hard. We then present a solution strategy based upon perturbing the linear programming relaxation solution of a multiperiod mixed-integer...

Radio network planning for UMTS technology is a relevant task for operators in the current roll-out phase. We recall a mathematical mixed-integer programming model for planning cost-efficient radio networks under network quality constraints. Based on this model, we present network planning methods. Computational results are given for two large-scale, realistic scenarios, and we compare the mixe...

In this paper recently developed mixed-integer programming (MIP) tools to the problem of optimal siting and sizing of distributed generators in a distribution network. Here three methodologies for solving the DGPP via mixed-integer linear programming (MILP) and mixed-integer nonlinear programming (MINLP) approaches are compared. The single MILP approach uses the well-known DC linear approximati...