Journal Article

·2016

Multi-dimensional service improvement under the multi-customer nature of container terminals

Sheng Teng Huang , Emrah Bulut YTU , Okan Duru

International Journal of Shipping and Transport Logistics

Abstract

This paper investigates the complex environment of container terminal management under the multi-customer problem through the case of East Asian Terminals. Container terminals are service providers to cargo owners (i.e., shippers) as well as liner shipping firms (i.e., carriers) while priorities and requirements may differ. Terminal operators should define the equilibrium quality and configuration of terminal services subject to its own constraints (e.g., financial sustainability). The mainstream approach for evaluation of service quality needs to focus on a particular customer (or group of customers) ceteris paribus. In this paper, the multi-layer quality function deployment (ML-QFD) method is applied to the terminal operators in two-customer context (shippers and carriers). ML-QFD is capable of merging diversified perspectives of several customers and delivering an equilibrium outcome which may satisfy both stakeholders in a cooperative approach. Rather than indefinite superficial recommendations, ML-QFD gets to the point and finds specific technical measures which improve the intended problem. Empirical results (East Asian sample) indicate that both shippers and carriers fundamentally demand cheaper services while shippers also require rapid terminal operations in common with the literature. For achieving requirements of shippers and carriers (in equilibrium), the role of human resource management, operational excellence and automation are emphasised by subjects.

Keywords

Quality function deployment Container (type theory) Context (archaeology) Computer science Service (business) Sample (material) Customer satisfaction Terminal (telecommunication) Business Service quality Marketing Telecommunications New product development Engineering

Subject Areas

Maritime Ports and Logistics ·Industrial and Manufacturing Engineering ·Physical Sciences
Multi-Criteria Decision Making ·Management Science and Operations Research ·Social Sciences
Quality Function Deployment in Product Design ·Management of Technology and Innovation ·Social Sciences

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