Bivariate Long Term Fuzzy Time Series Forecasting of Dry Cargo Freight Rates

This paper proposes a bivariate long term fuzzy inference system for time series forecasting task in the field of freight market. Fuzzy time series methods are applied by many scholars and it is broadly accepted pattern recognition and forecasting tool. Previous studies mainly establish algorithms for high frequency time series data such as daily and monthly intervals. The proposed model perfor…

Enterprise logistics: the right tool for the job

With ever‐increasing profit and competitive pressures, manufacturers are looking toward the logistics process as a source of competitive advantage. A number of methodologies and information systems have evolved as ‘tools’ to aid in the exploitation of the potential of logistics. Many manufacturers have benefited significantly from the application of logistics tools. For others, primarily …

Integration of demand forecasts in ABC-XYZ analysis: practical investigation …

Item classification based on ABC-XYZ analysis is of high importance for strategic supply and inventory control. It is common to perform the analysis with past consumption data. In this context, the purpose of this study is to test the hypothesis that an integration of demand forecasts can improve the performance of item classification, in particular the performance of ABC-XYZ analysis

Inaccuracy in traffic forecasts: lying or strategizing? A contextualist analy…

The purpose of this paper is to look into the fate of a troubled initiative in Hong Kong that was developed in the midst of discussions between Beijing and London leading towards the 1997 handover. It sets out to shred new light on the “forecasting gap”: the gap between the anticipated level of traffic and the real volume of traffic in the years following the opening of a new infrastructure

Interorganizational Collaborative Forecasting and Replenishment Systems and S…

Collaborative Forecasting and Replenishment (CFAR) is a new interorganizational system that enables retailers and manufacturers to forecast demand and schedule production jointly. The capabilities of CFAR exceed those of the traditional ED1 because CFAR allows exchange of complex decision support models and manufacturerhetailer strategies. The proponents of CFAR claim that the fastest way for r…

Forecasting container throughput using aggregate or terminal-specific data? T…

We propose a new approach to forecasting total port container throughput: to generate forecasts based on each of the port’s terminals and aggregate them into the total throughput forecast. We forecast the demand for total container throughput at the Indonesia’s largest seaport Tanjung Priok Port, employing SARIMA, the additive and multiplicative Seasonal Holt-Winters (MSHW) and the Vector E…

Hybrid approaches based on SARIMA and artificial neural networks for inspecti…

In this paper, the number of goods subject to inspection at European Border Inspections Post are predicted using a hybrid two-step procedure. A hybridization methodology based on integrating the data obtained from autoregressive integrated moving averages (SARIMA) model in the artificial neural network model (ANN) to predict the number of inspections is proposed. Several hybrid approaches are c…

Elements of danufacturing, distribution and logistics: quantitative methods f…

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Model for integrated project management

Although there has been important research on construction management’s life cycle, stakeholders, micro and macroenvironment, there has not been a model defi ned that can link the above. This while the need to integrate construction management’s life cycle, stakeholders, micro and macroenvironment into both theory and practice is essential. The Model for integrated project management, descr…

Collaborative forecasting and planning in supply chains: The impact on perfor…

The purpose of this paper is to empirically examine the impact of internal and external collaborative forecasting and planning on logistics and production performance.

Managing logistics in fashion markets

The fashion industry has been beset by the problems of volatile and difficult to predict demand. Many companies involved in manufacturing and retailing in fashion markets have seen the profitability severely affected by their inability to match supply with demand. Traditionally, it was assumed that the problem lay with inaccurate forecasts and that if only those forecasts could be improved then…

The impact of supply chain relationships and automatic data communication and…

The purpose of this paper is to explain the effects of the customer-supplier relationship and of automatic forecast data communication and registration on the perceived information quality of forecasts.

The impact of forecast information quality on supply chain performance

This paper aims to describe the extent of supplier access to customer forecast information and the perceived quality of such information and also to explain the impact of forecast information access and forecast information quality (FIQ) on supply chain performance.

Forecasting product returns for recycling in Indian electronics industry

The purpose of this paper is to develop a model for forecasting product returns to the company for recycling in terms of quantity and time.

Centralised grocery supply chain planning: improved exception management

The purpose of this paper is to present an operations model for retail replenishment collaboration and identifies its expected benefits and limitations for the members of a grocery supply chain.

Statistical analysis of vessel waiting time and lockage time on the Upper Mis…

The Upper Mississippi River (UMR) is an important artery for transporting export-destined grains from the north central United States to lower Mississippi River ports. The increased traffic on the UMR system has led to increases in congestion, delays at locks and longer vessel proceeding times. We analyze systematically the arrival, waiting and lockage time of vessels at the locks of UMR. We co…

Building a major transport infrastructure in Hong Kong in the historical cont…

The purpose of this paper is to look into the fate of a troubled initiative in one of Hong Kong’s economic engines – the container handling industry – that was developed in the midst of the discussions between Beijing and London leading towards the historical 1997 handover

Forecasting empty container volumes

The accumulation and repositioning of empty containers have become acute problems for container ports and are expected to intensify in the future given the expected growth in trade imbalances among trading nations. These problems are major costs and operational challenges for container ports. More accurate forecasting of volumes of port empty containers will enable container ports to develop mo…

Revenue management in road-based freight transportation: Impacts of uncertain…

Freight carriers operating in a spot-market environment are faced with uncertain future capacity demand, actual revenues, and properties of freight items. They require information about the expected future consumption of limited capacity to derive suitable request acceptance decisions. The purpose of this paper is to present a new idea to improve the handling of inaccurate information on the we…

Reason-code based model to forecast product returns

This paper aims to propose a method for forecasting product returns based on reason codes. The methodology uses two approaches, namely central tendency approach and extreme point approach, and is developed for the consumer electronics industry.

Monitoring information and materials to enhance logistics performance

The need to make forecasts is commonplace in industry. The accuracy (and hence, usefulness) of forecasts varies from one sector to another, but is rarely high. Describes an approach to the monitoring of forecasts which aims to detect significant inaccuracy and to quantify the correction(s) that need to be made, based on well‐established methods of SPC, and so it also allows any changes in the…

Forecasts impacts on sanitary risk during a crisis: a case study

During a crisis situation, a poultry supply chain is faced with high variations on fresh chicken meat demand and has therefore to simultaneously manage excessive shelf-life stocks (in case of falling demand) and external purchases due to inventory shortages. In this case, the production plan is often established according to non-accurate sale forecasts which require ongoing adjustment. The pape…

Forecasting freight demand using economic indices

This paper describes the results of an effort to predict future freight volume in the truckload (TL) trucking industry. The approach involves the use of stepwise multiple linear regression models that relate freight volume to a variety of economic indicators. The models are built using a large set of actual freight data provided by J.B. Hunt Transport (JBHT), one of the world’s largest TL car…

Flexibility and responsiveness in relation to the use of MRPII

Seeks to document a responsive strategy to manufacturing planning with Cussons (UK) Limited, a company operating in the fast moving consumer goods (FMCG) industry. In the FMCG environment products are manufactured to a sales forecast, and customers demand 100 per cent service levels within lead‐times, sometimes in the order of hours rather than days. It is essential that a company′s stock…

Exploring the experiences of collaborative planning initiatives

Supply chain integration (or synchronisation) is to a large extent still only a promise, despite many considerable efforts by organisations and their customers and suppliers. Lack of visibility of true consumer demand and collaborative relationships based upon joint decision making remain significant barriers to the goal of supply chain integration. Collaborative planning, forecasting and reple…

Examining retail on shelf availability: promotional impact and a call for res…

The purpose of this paper is to present an investigation into the causes of promotional on-shelf-availability (on-shelf-availability) shortfalls in retailing.

Evaluation of forecasting models for air cargo

Virgin Atlantic Cargo is one of the largest air freight operators in the world. As part of a wider strategic development initiative, the company has identified forecasting accuracy as of strategic importance to its operational efficiency. This is because accurate forecast enables the company to have the right resources available at the right place and time. The purpose of this paper is to under…

Emerging distribution systems in central and Eastern Europe: Implications fro…

The purpose of the research is to shed light on the evolution of distribution structures and its consequent implications for supply chain management (SCM) in the context of the emerging markets of Central and Eastern Europe (CEE).

Driving forces of road freight CO2 in 2030

Road freight carbon dioxide (CO2) emissions are determined by a complex interaction between shippers and hauliers within the boundaries set by regulations and economic factors. It is necessary to gain understanding about the various driving forces and trends affecting these to promote low carbon future. The purpose of this paper is to find out what factors affect the long-term future developmen…

Demand categorisation in a European spare parts logistics network

Spare parts have become ubiquitous in modern societies and managing their requirements is an important and challenging task with tremendous cost implications for the organisations that are holding relevant inventories. An important operational issue involved in the management of spare parts is that of categorising the relevant stock keeping units (SKUs) in order to facilitate decision-making wi…

Implementing collaborative forecasting to improve supply chain performance

Sales forecasting and collaboration are two business phenomena that have independently been recognized as contributing to improved organizational performance. The present research employs case study methodology to explore the synergies to be gained from combining the two processes. Depth interviews were conducted with executives at three firms currently engaged in collaborative forecasting wi…

Assessing logistics technology adoption time with event history analysis

This article addresses the issue of adoption timing in the diffusion of logistics technology. An event history analysis of warehouse automation technologies confirms the conceptual soundness of this relatively new procedure for predicting adoption of logistics technology. Implications for logistics technology research and managerial practice are presented.

Forecasting container shipping freight rates for the Far East – Northern Eu…

This study introduces a state-of-the-art volatility forecasting method for container shipping freight rates. Over the last decade, the container shipping industry has become very unpredictable. The demolition of the shipping conferences system in 2008 for all trades calling a port in the European Union (EU) and the global financial crisis in 2009 have affected the container shipping freight mar…

a Comparison of traditional and neural networks forecasting techniques for co…

Containerization is one of the important factors for Thailand’s economics. However, forecasts of container throughput growth and development of Bangkok Port, the significant port of Thailand, have been scant and the findings are divergence. Moreover, the existing literature emphasizes only two forecasting methods, namely time series and regression analysis. The aim of this paper is to explore…

A Study of Container Terminal Capacity At Boom Baru Palembang Container Terminal

Economic growth in a region indicated by increasing the growth of population and Gross Domestic Product (GDP). These two factors are used in determining variable takes into account forecasting container throughput in Palembang, South Sumatra. Container Terminal which is the parallel activities of the Berth and the Yard needs adequate capacity as benchmark capability in the meet of demand in the…

Evaluating Of Vehicle terminal Capacity At Tanjung Priok Car Terminal

Terminal capacity is to be considered by the management to keep terminal services efficiently. Lack of terminal capacity will leverage congestion in the port and in turn will give bad influence for international trading growth. Considering cargo forecasting at Tanjung Priok Car Terminal (TPT), they still have an idle capacity of berth but having a critical point in the yard capacity. Proper thr…

Simulation And Analysis of Container Terminal Capacity At Multi Terminal Indo…

Within the development  of seaport transportation  system, note that the ability of a port  plays  an  important  role  as  a part  of  integrated  global  supply  chain.  As  an indivisible  share of a port, container terminal has a potential  strategic value in the global liner shipping networks as well as a major aspect of the competitiveness of the The  main  objective �…