This article presents an integrated methodology for the inclusion of a facility′s interactions with the outside environment, and the impact of those interactions on the location of entrances and exits within the facility. For example, the outside interactions generated by shipping and...

Purpose – This paper aims to focus on integrating a lean framework in a high-mix-low-volume (HMLV) printed circuit board assembly (PCBA) environment to enhance current assembly processes and facility layouts. An HMLV PCBA environment is characterized by stochastic demands, a variety of...

Very little has been written on productivity improvements for a “made‐to‐order” manufacturing environment which is usually dominated by small manufacturing companies. Unlike large companies which are capable of applying just‐in‐time (JIT) philosophies to ensure high productivity...

Purpose – The purpose of this paper is to analyse the use of a product‐oriented layout and a work‐cell strategy in order to maximise efficiency. These two categories of layout strategies are discussed separately, and are then used collectively in an analysis of the company. The aim is to...

Purpose – The purpose of this paper is to propose a model that determines the strategy of owning and renting trucks in combinations with internal truck scheduling and storage allocation problems in container terminals. Design/methodology/approach – To deal with this complicated problem, a...

Purpose – This research uses an optimisation model, based on the Six Sigma methodology, which assists marine container terminal operators to minimize trucks' congestions, as a defect in the global containerisation and smoothing the gate activity to reduce trucks' turn‐around times. The main...

Purpose The purpose of this paper is to investigate ways to reduce the average amount of exceeded guaranteed service time for external trucks at Deepwater Container Terminal Gdańsk Sp z o.o. (DCT Gdańsk) via dosing the gate activities, in particular IN-Gate entry process, of trucks carrying...

This article contends that feature selection is an important pre-processing step in case the data set is huge in size with many features. Once there are many features, then the probability of existence of noisy features is high which might bring down the efficiency of classifiers created out of...

This article presents a novel approach for fraud detection in automobile insurance claims by applying various data mining techniques. Initially, the most relevant attributes are chosen from the original dataset by using an evolutionary algorithm based feature selection method. A test set is then...