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The transport infrastructure will provide the necessary capacity for freight movement and handling. However, the increase in the physical infrastructure alone is not a sufficient condition for the improvement of logistics systems. The logistics information capability which facilitates the seamless flow of information is a very important element in further enhancing the efficiency of logistics activities and in potentially reducing the demand for the transport infrastructure itself. Reviews the existing logistics information practices in Korea and describes recent nation‐wide efforts to build an integrated logistics information system (ILIS). Raises some important issues for successful implementation of the system and also discusses the relationship between the Korean CVO (K.CVO) programs.

In a logistics system the number of possible applications of qualitative and quantitative modelling efforts is practically infinite. The situations or problems which can be analysed range from micro operations (e.g., analysing alternative order picking systems) to macro planning issues (e.g., determining the number and location of warehouses to be employed in a future distribution system). This range of potential applications not only reflects the scope of the models (micro to macro) but it also incorporates another relevant dimension: planning. The planning axis is anchored at one end by operations models which are constructed to analyse daily operating practices. The other end of the continuum is represented by long range planning models. These models are used to aid logistics managers in their attempts to design systems to cope with the future. In many situations exact classification of individual models along these two dimensions is difficult. However, this categorisation is a useful framework within which to view the scope of the modelling discussed in this paper. This presentation will focus on the macro planning models that are being employed both in military and industrial logistics to aid the systems planner in his attempts to structure logistics systems for the future.

The objective of this monograph is to describe the industrial logistics structure within consumer goods industries and to provide a framework upon which the significance of the integrated industrial logistics system could be determined. The method of approach adopted is to define those problems which may occur within the logistics structure, define an ideal type of organisational structure and to monitor the effect of each type of decision within the established framework. Since all the elements of logistics add cost to a product, throughout the latter half of the discussion there is considerable emphasis upon methods of achieving the minimum cost throughout the channel.

Logistics has been receiving increased attention in management literature in the past few years. In particular, logistics has been recognised not only as a group of important functions, but as functions that have important strategic impacts as well. Logistics, as demonstrated by many corporations, can either gain or lose leverage in the marketplace, and more firms are recognising its importance.

Logistics systems used in companies that perform multiple roles are expected to be able to manage conflicting objectives. Nevertheless, the literature suggests that many existing logistics performance measurement system (PMS) frameworks are not optimized to provide mechanisms to reveal dynamic relationships between conflicting performance indicators. The purpose of this paper is to develop a new logistics PMS by linking the system dynamics model with a set of balanced performance indicators.

The logistics PMS is developed through a literature review and case study of a company that plays multiple roles. The interrelationships between logistics factors and their links to end results are modeled in diagrams through in-depth interviews with stakeholders. The developed model is then used to build a simulation tool to analyze factors that cause poor performance.

The new logistics PMS developed by incorporating system dynamics offers decision makers ways to identify dynamic relationships among factors and conflicting indicators, in turn helping them to understand holistic logistics performance, objectively analyze why logistics systems perform in a certain way and foster a common shared view.

Stakeholders of companies that play multiple roles can use the new PMS model to comprehensively evaluate the performance of logistics systems. In addition, the increased visibility of logistics systems may support decision-making while preventing local optimization.

A logistical PMS based on the system dynamics model for managing logistics systems in companies performing multiple roles has not yet been identified. This paper fills this theoretical gap and contributes to the academic literature by proposing a novel PMS model based on the system dynamics model to address the limitations of existing PMS frameworks.

This paper, with the tobacco industry as the background, establishes an indicator system for tobacco supply chain performance evaluation using the FAHP method.

Based on the relevant data of tobacco enterprises in Guangxi, the paper calculates the performance values of tobacco companies in various cities of Guangxi, and through the analysis of each indicator and the performance values of each city, the authors find that the improvement ability has a major impact on tobacco supply chain performance. Then, the paper establishes a system dynamics model to further demonstrate the impact of information digitalization on the performance of the tobacco supply chain in Guangxi, thus providing theoretical support for building digital tobacco logistics in Guangxi.

The findings of the study show that the performance of the tobacco supply chains in various cities of Guangxi is generally at the level of “Pass–Good,” which can barely meet the requirements of tobacco supply chain operation, but there is still plenty of room for improvement.

The authors show that digital and IT-based empowerment can maximize the performance of Guangxi's tobacco logistics performance.

The increased efficiencies to be gained in improving logistics has pushed managers to explore a number of new ideas, technologies, and methods of information management and computerization. However, many companies in Asia are indicating that responsiveness and flexibility are the keys to responding to markets which are rapidly changing and where customers are requiring a range of services. Studies several local and international logistics firms in Singapore and elsewhere as a way of developing a better understanding of their difficulties and reasons for success. Illustrates why certain larger companies which have the capability to develop more sophisticated information and computer systems do not; instead, they chose to rely on more flexible systems which allow for learning and adaptation.

Suggests guidelines to aid logistics management in manufacturing, and describes a systems approach to logistics within the pharmaceutical industry, where the materials flow path through the company provides a logical connection for all the logistics activities. Decided to examine interactions within the manufacturers' organisation of one industry, and by doing so it should be possible to investigate in depth the effects to the whole company. Reports on the research work undertaken in the development of a decision‐making approach for logistics management – the pharmaceutical industry was selected for study. Uses tables and figures for explanation and emphasis. Proposes that the research study represents a step towards the formulation of a hypothesis for selecting only those interactions, or trade‐offs, of particular importance to any logistics analysis.

There is need for a new, more precise, more integrated system for logistics costing. The integration of purchasing, transportation (traffic) and storage operations throughout the vertical stream, from source of materials to the consumer is discouragingly complex. It cannot be accomplished by departmentalising logistics functions, performing average and joint commodity costing, and dealing primarily with direct costs. The volume of records may be representative, but there is a very apparent lack of costing systems to facilitate logistics planning. The volume of shipment is the key to logistics cost analysis, just as volume of production is the independent variable in conventional economic analysis. Logistics costs vary with changes in the volume of shipment. Cost per hundredweight is the unit for cost analysis under the Cellular Flow Planning System. It is measured on a specific commodity, between specific points. Purchase price, transport rate, linear increasing costs, constant and single payment decreasing costs are the five classes of costs used to compare competitive volumes of shipment. All significant logistics costs can be so classified. This article presents only the rationale behind the unit for cost measurement, the classification of costs, and the means of comparison.

The study examines how supply chain responsiveness (logistics process responsiveness, operations systems responsiveness and supplier network responsiveness) impacts the ability of firms to attract, satisfy and retain customers.

Using a quantitative approach, a total of 250 questionnaires were distributed to firms in the Kumasi metropolis in the Ashanti Region of Ghana, with 100 useable responses retrieved. The effect of supply chain responsiveness on customer development was analysed using partial least squares structural equation modelling.

The findings showed that operations systems responsiveness and supplier network responsiveness drive the logistics systems responsiveness of firms as hypothesized. It was also revealed that operations systems responsiveness and logistics process responsiveness enhanced customer development, but supplier network responsiveness did not. Logistics process responsiveness additionally partially mediated the effect of operations systems responsiveness on customer development.

To the best of the researchers' knowledge, no previous studies have empirically examined interrelationships between the dimensions of supply chain responsiveness. Additionally, no previous study has examined the effect of supply chain responsiveness on customer development.