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Argues that the organization for logistics often favours an aggregation of all tasks into one department. This decision presupposes an extensive analysis of important contingency factors, like product line, environmental relations, technology and organizational size. However, such contingency factors have a limited influence, and are modified by the strategy of the organization. Defines selected contingency factors, examines the organization’s overall strategy and shows how these two factors can be combined in the light of the specific requirements of the firm’s logistical task.

The purpose of this paper is to present the integration of logistic management with information and communication technologies to largely improve the effectiveness of logistic fleet operations. The work presented here shows a real‐world fleet management system that integrates mobile communication and supports real‐time logistic information flow management.

First, the application of information and mobile communication technologies in providing effective logistic distribution service is introduced. Then, the proposed real‐time fleet management system (RTFMS) architecture is depicted, the technology profiles for mobile data terminal (MDT) and logistic information system are described, and the considerations of various wireless mobile communication technologies for logistic distribution process are also addressed. Finally, the implications of this paper are discussed and plans for further work are outlined.

The proposed architecture for a real‐world logistic fleet management system, the RTFMS, can be served as reference architecture for real‐time logistic fleet management design. The major components of the RTFMS have been described in UML use cases to facilitate reuse of this design. This paper presents the RTFMS architecture with associated information flows and timing considerations could be used for the architecture adaptation in similar applications. Wireless technologies provide the logistics feet management with bi‐directional real‐time information flows as shown in this paper, and this would stimulate new ideas in logistics management and services models.

This paper provides a reference model with implementation in adopting wireless technologies in logistics distribution process. However, the services provided by each specific system would depend on all stakeholders in specific chain of logistics service provider and consumer.

The work presented here shows a real‐world fleet management system that integrates mobile communication and supports real‐time logistic information flow management.

The purpose of this viewpoint is to analyze the emergence of a modified equilibrium in the relationship between buyers (“shippers”) and suppliers (“providers”) of logistical services. In the 1990s, the logistical service providers (LSPs) had relatively little power and were often asked to perform basic operations. The situation has evolved as a result of proactive strategies implemented by some forward-thinking LSPs. In this viewpoint, the emphasis is on the strategies developed by shippers which the authors labeled the “ramp effect”.

The authors discuss the impact of the ramp effect on LSPs’ innovation processes. This viewpoint is based on the authors’ experience in the field, on a literature review focused on the logistics industry and on the purchasing strategies applied to logistical services.

The authors show that the buyers of logistical services have lost some of their power because of two main factors: LSPs’ embeddedness in the shipper’s supply chain and the transformation of LSPs into orchestrators (labeled fourth-party logistics). This viewpoint discusses the relational disequilibrium between shippers and LSPs rather than the cooperative relationships between them.

The ramp effect as a source of innovation and proactive strategies for LSPs has never been covered in the management literature. This viewpoint provides both academics and practitioners with a different perspective of the relational disequilibrium between buyers and sellers of logistical services.

With the growing trend toward the use of international supply chain and e‐commerce, logistic service providers for product warehousing, transportation and delivery are placing great emphasis on information technology (IT) to be competitive globally. Realizing that the current service tracking system merely supports order status tracking within a service provider, applies mobile agent technology for online order tracking across the global logistic alliances. Utilizes a three‐tier architecture for mobile agent technology and develops a prototype system for global logistic service tracking. Demonstrates the concept and technology proposed. The online service tracking services enable customers to monitor the real‐time status of their service requests and therefore becomes key tool for modern enterprises to compete successfully in a global marketplace.

To provide a model for precise logistic controlling of one‐piece flow processes and for the description of the interactions between logistic performance measures. The developed method can help manufacturing enterprises to control their production processes and therewith to exploit existing rationalization potentials in their production.

The Institute of Production System and Logistics adapted the logistic operating curve for schedule reliability and the logistic operating curve for mean throughput time to describe the behaviour of one‐piece flow processes. This model‐based method depicts the correlation between the delivery reliability and mean WIP level of single manufacturing systems and enables a goal‐oriented modelling as well as a controlling of single manufacturing processes.

The derivation, calculation, and fields of application of the logistic operating curves for one‐piece flow processes, that give a functional relationship between mean WIP, mean throughput time and schedule reliability, are presented in this paper. Moreover, the paper presents how the logistic performance measures can be adjusted to target values.

This paper offers practical help to manufacturing enterprises confronted with the task of evaluation and optimization of manufacturing processes within the framework of production controlling. Moreover, the developed method enables manufacturing enterprises to identify bottleneck work systems where action can be taken to optimize their schedule situation and thereby improve the delivery reliability of an entire manufacturing department.

This study discusses the influence of logistical immediacy on logistics service providers' (LSPs’) business. Specifically, its role in the face of the emerging business scenario (e-commerce, disruptive technologies, and new models of logistical services) is examined.

As logistical immediacy is a nascent topic, this study utilizes a systematic literature review focusing on academic articles from the last five years related to logistical outsourcing to understand the changes imposed by logistical immediacy on LSPs.

The impact of transformations arising from an increasingly digital virtual world (DVW) on LSPs is contextualized. A theoretical view of the factors affecting LSPs' shift towards more immediate operations is presented, and how logistical immediacy impacts LSPs is discussed. Finally, a research agenda is presented as the study's main contribution.

Due to the timeframe chosen, the restriction to a single database (Scopus), the specific search terms used related to LSPs, and limiting the search parameters to operations management, some relevant work may have been overlooked.

The article help LSPs' and contracting companies' managers to understand the influence of the immediacy expected in logistics operations. Possible logistics services trends and how they may impact companies are discussed.

This is one of the first articles in the area of operations and supply chains that addresses the issue of logistical immediacy and its impact on LSPs.

The objective of this article is to determine the usage and application of logistic regression analysis in the marketing literature by comparing the market positioning of prominent marketing journals.

In order to identify the logistic regression applications, those journals having “marketing” term in their titles and indexed by the social citation index (SSCI) were included. As a result, the target population consisted of 12 journals fulfilling the criteria set. However, only eight of these that were accessible by the researchers were included in the study.

The classification of marketing articles from the chosen prominent marketing journals were made by journal title, article topic, target population, data collection method, and study location has mapped the position of logistic regression in the marketing literature.

The sample journal coverage was limited with 12 marketing journals indexed in SSCI. In some of the journals utilized, the accessibility was limited by the electronic database year coverage. Due to this limitation, the researchers could not reach the exact number of articles using logistic regression.

The results of this study could highlight what is researched with logistic regression about marketing problems and may shed light on solving different problems on marketing topics for the future.

This paper aims to propose a logistical network design framework with robustness and complexity considerations.

The paper defines robustness, complexity, and normalised efficiency of a logistical network. A mathematical model is then constructed based on the conceptual framework and applied to a hypothetical case study with varying robustness requirements. The mathematical model is formulated as an Mixed‐Integer Linear Programming problem. Furthermore, the paper introduces a graph‐theoretic view of the logistical network and presents its topological properties such as average path length, clustering coefficient, and degree distribution.

The results show that logistical network configurations can be obtained with desirable robustness levels whilst minimising cost. The relationships of robustness versus normalised efficiency and complexity are also presented. The results show that relationships between logistical network topological properties and robustness exist, as in other real world natural and man‐made complex networks.

Logistical network design is one of the earliest strategic decisions in supply chain management that supply chain managers have to make. Practitioners and researchers typically focus on optimising efficiency and/or responsiveness of logistical networks. It is argued that logistical network designers should also consider robustness and complexity as they are important characteristics of logistical network functionality. The logistical network design frame work successfully incorporates robustness and complexity into design considerations.

This paper newly introduces other important performance measures, robustness and complexity, into the logistical network design objective. The design framework is highly relevant and adds value to logistical network designers and managers.

The purpose of this paper is to develop some robust approaches to estimate the logistic regression profile parameters in order to decrease the effects of outliers on the performance of T² control chart. In addition, the performance of the non-robust and the proposed robust control charts is evaluated in Phase II.

In this paper some, robust approaches including weighted maximum likelihood estimation, redescending M-estimator and a combination of these two approaches (WRM) are used to decrease the effects of outliers on estimating the logistic regression parameters as well as the performance of the T² control chart.

The results of the simulation studies in both Phases I and II show the better performance of the proposed robust control charts rather than the non-robust control chart for estimating the logistic regression profile parameters and monitoring the logistic regression profiles.

In many practical applications, there are outliers in processes which may affect the estimation of parameters in Phase I and as a result of deteriorate the statistical performance of control charts in Phase II. The methods developed in this paper are effective for decreasing the effect of outliers in both Phases I and II.

This paper considers monitoring the logistic regression profile in Phase I under the presence of outliers. Also, three robust approaches are developed to decrease the effects of outliers on the parameter estimation and monitoring the logistic regression profiles in both Phases I and II.

The tender documents, an essential data source for internet-based logistics tendering platforms, incorporate massive fine-grained data, ranging from information on tenderee, shipping location and shipping items. Automated information extraction in this area is, however, under-researched, making the extraction process a time- and effort-consuming one. For Chinese logistics tender entities, in particular, existing named entity recognition (NER) solutions are mostly unsuitable as they involve domain-specific terminologies and possess different semantic features.

To tackle this problem, a novel lattice long short-term memory (LSTM) model, combining a variant contextual feature representation and a conditional random field (CRF) layer, is proposed in this paper for identifying valuable entities from logistic tender documents. Instead of traditional word embedding, the proposed model uses the pretrained Bidirectional Encoder Representations from Transformers (BERT) model as input to augment the contextual feature representation. Subsequently, with the Lattice-LSTM model, the information of characters and words is effectively utilized to avoid error segmentation.

The proposed model is then verified by the Chinese logistic tender named entity corpus. Moreover, the results suggest that the proposed model excels in the logistics tender corpus over other mainstream NER models. The proposed model underpins the automatic extraction of logistics tender information, enabling logistic companies to perceive the ever-changing market trends and make far-sighted logistic decisions.

(1) A practical model for logistic tender NER is proposed in the manuscript. By employing and fine-tuning BERT into the downstream task with a small amount of data, the experiment results show that the model has a better performance than other existing models. This is the first study, to the best of the authors' knowledge, to extract named entities from Chinese logistic tender documents. (2) A real logistic tender corpus for practical use is constructed and a program of the model for online-processing real logistic tender documents is developed in this work. The authors believe that the model will facilitate logistic companies in converting unstructured documents to structured data and further perceive the ever-changing market trends to make far-sighted logistic decisions.