This study presents a review of optimization models for tactical production planning. The
objective of this research is to identify streams and future research directions in this field …

An accessible treatment of the modeling and solution of integer programming problems,
featuring modern applications and software In order to fully comprehend the algorithms …

Goal programming (GP) is an important class of multi-criteria decision models widely used to
analyze and solve applied problems involving conflicting objectives. Originally introduced in …

This paper addresses a scheduling problem of inbound and outbound trailers in a cross-
docking system according to just-in-time approach. In the cross-docking system …

This paper presents a hybrid Genetic-Bees Algorithm based optimised solution for the single
machine scheduling problem. The enhancement of the Bees Algorithm (BA) is conducted …

We address the operational planning problem of loading and scheduling outbound trucks at
a dispatch warehouse shipping goods to several customers. This entails, first, assigning …

In the context of job scheduling in parallel machines, we present a class of binary programs
for the minimization of the τ-norm of completion time variances (a flexible measure of …

The aim of this book is to cover various aspects of the Production and Operations Analysis.
Apart from the introduction to basic understanding of each topic, the book will also provide …

Identifying and customizing suitable control strategies is a challenging task, especially when
production systems have to cope with variable demands, forecast error, and unstable …

Supply chain (SC) design problems are often characterized with uncertainty related to the
decision-making parameters. The stochastic goal programming (SGP) was one of the …