Abstract

International trade imbalances make the management of empty containers within shipping networks an important economic and ecological problem. While import-dominated ports accumulate large amounts of empty containers, export-dominated ports need them as transport resources, requiring a repositioning transportation of empty containers on the sea and land side. Acknowledging the importance of the problem, plenty of respective literature has appeared. Since periodic review inventory management systems allow to model the inherent stochasticity of empty container transportation, they have emerged as a major solution approach in the domain. Nevertheless, existing approaches often omit crucial economic and ecological real world conditions determining the success of empty container management. Pollution, repair options, and street-turns are important aspects in this context. In this work, we present new stochastic review policies incorporating a realistic allocation scheme for empty container emissions, realistic maintenance, and repair options as well as street-turns. We analyze the optimality of the proposed polices and evaluate them in a simulation model with metaheuristic parameter search based on extensive real-world data from a major global shipping company operating in Latin America. Results provide insights for academics and practitioners about the economic and ecological impact of the distinct empty container management polices within a shipping network.

Highlights

  • Greenhouse gas (GHG) emissions in maritime shipping have received much attention in recent years and are widely seen as a major constraint for sustainable growth in worldwide trade among researchers and practitioners of the field

  • The following sections present relevant literature, extended periodic review policies for empty container management, and a simulation optimization model with a numerical study based on real world data as well as conclusions drawn from the study

  • We develop a discrete-event simulation (DES) model to evaluate the proposed policies in various scenarios and use a genetic algorithm (GA) metaheuristic to find improved parameter settings for the empty container inventory control

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Summary

Introduction

Greenhouse gas (GHG) emissions in maritime shipping have received much attention in recent years and are widely seen as a major constraint for sustainable growth in worldwide trade among researchers and practitioners of the field. The importance of emissions caused by empty containers has been well understood [2], little effort has been made to extend existing models to multiobjective formulations incorporating business and sustainability objectives This is Mathematical Problems in Engineering in line with an observed need for stochastic multiobjective models integrating both planning objectives in maritime shipping [6]. We present several new, inventory-based empty container management policies using emissions prices for a cost function that integrates economic and ecological objectives, on the sea and land side These policies serve to evaluate the pollution impact of empty container transport, maintenance, and repair as well as street-turns options. The following sections present relevant literature, extended periodic review policies for empty container management, and a simulation optimization model with a numerical study based on real world data as well as conclusions drawn from the study.

Literature Review
Simulation Model with
Numerical Study
Findings
Conclusion
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