This work intends to contribute to the planning guidelines in the field of Supply Chain Management (SCM). Thus, it develops a multi-model proposal supported by the definition of a highly complex spectrum of knowledge that considers a sequence of systematic procedures in the following phases –...

Supply chain demand forecast and inventory purchase planning are essential business operations to many businesses. In this paper, we discuss the strategies and techniques in the supply chain demand forecast and inventory purchase planning for small businesses from practitioner's perspective. The...

Increasing awareness of the ecological impacts of industrial growth, resource scarcity as well as changing consumption patterns, has led to the growth of sustainability issues in supply chain practices. The purpose of this paper is to highlight a few areas of possible importance in planning,...

A new fuzzy mathematical programming model for supply chain planning under supply, process and demand uncertainty is proposed in this paper. A tactical supply chain planning problem has been formulated as a fuzzy mixed integer linear programming model where data are ill-known and modeled by...

Simulation models are becoming increasingly common in the analysis of critical scientific, policy, and management issues. Such models provide a way to analyze complex systems characterized by both large parameter spaces and nonlinear interactions. Unfortunately, these same characteristics make...

This paper presents a Multi-objective Evolutionary Algorithm (MOEA) to derive a set of optimal operation policies for a multipurpose reservoir system. One of the main goals in multi-objective optimization is to find a set of well distributed optimal solutions along the Pareto front. Classical...

In this paper a metaheuristic technique called Ant Colony Optimization (ACO) is proposed to derive operating policies for a multi-purpose reservoir system. Most of the real world problems often involve non-linear optimization in their solution with high dimensionality and large number of...

In this paper we build a method to optimize Multi-Year Prospective Budgets. First we present a systemic model of Local Community Finances. Then, from two acceptable Multi-Year Prospective Budgets the method implements a Genetic Algorithm to generate a collection of admissible Multi-Year...

In this paper, we propose a two-phase approach for designing a weekly scheduling template for outpatient clinics providing multiple types of services. In many outpatient clinics, various service types are categorized to address the operational challenge of substantial changeover time between...

The classical game theoretic resolutions to Selten’s Chain Store game are unsatisfactory; they either alter the game to avoid the paradox or struggle to organize the existing experimental data. This paper applies co-evolutionary algorithms to the Chain Store game and demonstrates that the...