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Companies are currently moving from multi-channel strategies to offer their customers an omni-channel (OC) experience. So far, OC research has been mainly tackled from a sales-based view, with numerous operational challenges to be fully investigated yet. The purpose of this paper is to investigate how companies set the logistics variables in their OC management strategy and the business logistics models currently most adopted.

A two-step methodology was adopted. First, a systematic combining approach with scientific literature review and case studies allowed to derive a framework for classifying the key logistics variables and the related options. The framework was then used to conduct a qualitative survey targeting 92 Italian companies operating in food manufacturing, food retailing and non-food retailing. Collected data were analysed by means of cluster analysis.

Implementing an OC management strategy requires to set 11 logistics variables belonging to four strategic areas: delivery service, distribution setting, fulfilment strategy and returns management. A broad empirical investigation showed the choices made by companies when setting the logistics variables to implement an OC management strategy. Lastly, four business logistics models, differing in terms of both business sector and OC maturity, were discussed.

The proposed framework extends earlier studies by including additional significant logistics variables. The empirical analysis provides new insights on how to re-structure the business logistics model in OC, suggesting channel integration and the coexistence of multiple configurations as main enablers of an OC proposition.

The resources and mechanisms required to complete a value proposition are generally considered as crucial aspects in designing a company business model. However, research in the third party logistics (3PL) arena concerned with studying how 3PL providers define their value creation architecture to meet different shippers’ requirements has so far been inadequate. The purpose of this paper is to fill the gap, providing a detailed investigation on how the 3PL providers’ capabilities and logistics expertise can add value to their shippers’ processes.

A qualitative exploratory research was conducted involving, first, a systematic combining process to understand the main factors and operational strategies whereby 3PL providers can create value and build a comprehensive framework of their value creation architecture. Second, a qualitative survey was conducted on 44 leading 3PL providers operating in Italy to understand how these providers can organise themselves to create value for shippers.

The 3PL providers’ value creation architecture is presented within a clear and comprehensive framework, together with 30 potential operational strategies that can be used by 3PL providers and the related factors that enable value to be created for shippers. Three main value creation models (volume-oriented 3PL providers, process-oriented 3PL providers and innovation-oriented 3PL providers) are identified. The importance of the different factors enabling value creation is highlighted for each model, identifying the distinctive operational strategies and those adopted most frequently.

From a managerial perspective, 3PL providers will find these results useful for developing suitable strategies to compete on the market. From their side, shippers can understand and evaluate how 3PL providers are able to offer value to their logistics processes, allowing them to select the logistics partner who best fits their needs.

The present paper fulfils the identified need of examining the 3PL providers’ business model in detail. A set of distinct value creation models is identified and thoroughly investigated to reveal the different competitive advantages available to shippers.

The purpose of this paper is to present a parametric model to assess the impacts of information and communication technology (ICT) applications on company freight transportation processes (i.e. “company” perspective). The aim is to support both internal monitoring procedures and the decision‐making process of ICT adoption, as well as increase managers' awareness of these solutions in improving their business. The model has been applied to inter‐modal terminal processes, which are particularly critical due to the high number of players involved and the need for integrating different modes of transport throughout the whole delivery process.

The present study is part of a broader research on the topic of ICT adoption in the freight transportation industry. Based on the outcome of the previous stages of this research, the impact of ICT applications on inter‐modal processes has been modeled using an activity‐based costing approach. Interviews were conducted with both inter‐modal terminal managers and technology providers to collect the required inputs and validate the model. A case study has been performed to apply the model and a further sensitivity analysis has been carried out.

The application of the model to the examined inter‐modal terminal showed that the most significant “as is” costs are those connected to handling activities. Three different ICT scenarios have been also explored. Based on the company “as is” scenario, the model provides an assessment of how and when a positive return on investment can be achieved. Results proved that the benefits deriving from ICT adoption are considerable and depend on the level of technology adopted.

The paper addresses an identified need in the literature of quantifying the impact of ICT for freight transportation. It is one of the few attempts to model costs and benefits of ICT for freight transportation, taking into account the major factors involved. Additionally, the model can be a valuable support to practitioners in evaluating their investments, as well as monitoring their company current performance.

Given the importance of logistics operations in business-to-consumer (B2C) e-commerce and growing interest in the related environmental effects, the purpose of this paper is to offer an up-to-date literature review on the topic of B2C e-commerce environmental sustainability, specifically from a logistics perspective.

The analysis focussed on a set of 56 papers published from 2001 to 2014 in 38 peer-reviewed international journals. The papers were analyzed and categorized according to the main features of the paper, the research method(s) adopted and the themes tackled.

There is a growing interest in sustainability issues. In the last 14 years, the focus has progressively shifted from the mere identification of the wide-ranging environmental effects of e-commerce to the need for a quantitative evaluation of their impact, although much remains to be done in this regard. Some industries, such as books and grocery, have largely been addressed, however, promising sectors in the e-commerce field, such as clothing and consumer electronics, have only been considered to a certain degree. Moreover, despite the emerging role of multichannel strategies, the environmental implications of the related logistics activities have not yet been studied in detail.

B2C e-commerce has grown in popularity, and its environmental implications are currently of key interest. This paper contributes to the understanding of the existing body of knowledge on this topic, presenting an up-to-date classification of articles and highlighting themes for further research activities. From a managerial perspective, this paper helps supply chain managers develop a clear understanding of both the logistics areas with the most impact on environmental sustainability and the KPIs used to quantify the environmental implications of e-commerce logistics operations comprehensively and effectively.

The purpose of this paper is to categorise the research on environmental sustainability in logistics and transportation on the basis of the main themes and study methods and proposes directions for future research.

The review is based on 72 papers published from 1994 to 2011 in international peer-reviewed journals. The academic papers were analysed and categorised according to both their defining characteristics (i.e. year of publication, journal title, regions addressed, and research methodology adopted) and the themes tackled. Five key themes were examined: sustainability initiatives, reasons for adoption, benefits achieved following adoption, critical issues and barriers to adoption, and the evaluation and measurement of environmental initiatives.

While many studies have addressed the issue of environmental sustainability within the supply chain as a whole, papers focusing specifically on environmental sustainability within logistics and freight transportation are fewer and relatively more recent. Although researchers have started to examine the decision-making process involved in environmental sustainability adoption in recent years, many themes, such as sustainability evaluation and measurement, and the level of adoption of sustainability initiatives in the context of the third-party logistics (3PL) industry are under-represented in the literature. As far as the methodology is concerned, our review revealed that many articles are either conceptual papers or empirical studies (i.e. mostly based on surveys or case studies), while simulation and analytical modelling have rarely been addressed.

While efforts were made to be all-inclusive, some research efforts may have inadvertently been omitted. However, the authors believe that this review provides an accurate representation of the body of research on environmental sustainability in logistics and transportation published during the specified timeframe, and that the resulting assessments are reliable.

The paper offers a guide to the previous research on this topic and identifies the most important issues that need to be addressed in future research.

Companies in the freight transportation industry can currently make use of an increasing number of applications based on Information and Communication Technology (ICT) to improve the performance of their processes. Although these applications have become more widely used in recent years, there is still little research focussing on the actual adoption rate. The present study aims to fill this gap and provide a broad empirical analysis of the use of ICT‐based applications in the freight transportation industry in Italy.

The analysis uses multiple‐case studies. It is based on semi‐structured interviews with the management of leading Italian companies involved in transportation processes.

The study provides an insight into the current adoption of ICT applications among companies involved in freight transportation activities in Italy. The results point out the most used functions in each application area and the level of integration across these application areas.

The sample of companies examined in this study was selected by expert assessment, and is biased towards companies willing to provide data and share results. However, the findings provide some interesting results on how and where investments in ICT can be suitable for companies in the logistics and transportation industry.

The paper fulfils an identified need for in‐depth case studies focussing on the adoption level and the implementation process of ICT applications in transportation, and it is of interest to researchers and practitioners in the field of logistics and transportation management.

The purpose of this paper is to study the performances of “pick‐and‐sort” order‐picking systems (OPSs) and investigate picking efficiency and design issues as a function of the number and length of the picking waves.

An analytical model is proposed to estimate the picking efficiency as a function of wavelength. The model, which has been tested by simulations, includes an algorithm to estimate the expected overlapping of order lines. Finally, a case study illustrates the use of the model in the initial assessment phase of OPS design, and resolves the trade‐off between picking efficiency and sorting cost.

The effect of the wavelength on picking efficiency is calculated.

The trade‐off analysis between picking efficiency and sorting cost refers to a specific sorting system and picking area layout.

The paper provides a tool to support the design of “pick‐and‐sort” OPS, where the importance of the length of the picking wave emerges.

This paper presents an innovative model that can be used in the initial phase of “pick‐and‐sort” OPS design.

Manual picking system productivity is greatly influenced by layout design (i.e. the layout scheme and the number of aisles). In fact, layout plays an important role in determining the expected length of pickers’ tours which is itself a relevant component of the time required to complete a given set of orders. This paper presents a simulation approach to efficient layout design of the picking area in picker‐to‐part systems using random or cube per order index (COI)‐based storage policies. The optimal number of aisles depends on both strategic/long‐term and short‐term decisions. Indeed, layout is a function of the total storage length which, in turn, is related to strategic decisions concerning the forward/reserve problem, i.e. the choice of the fraction of items to be located in the picking (forward) area. Moreover, layout preferences seem to be strongly affected by operating decisions concerning batch size, i.e. number of picks in a tour, and the adoption of a COI‐based storage policy. Some design guidelines are provided for both stable environments where the operating conditions are well defined, and for unstable contexts where conditions may vary.

This study is concerned with evaluating the performance of different storage policies and tour construction procedures for multi‐command picking using automated storage‐retrieval systems (AS/RS). The AS/RS machine travel time for each storage policy is derived as a function of the shape of the storage area, the number of picking points and the sequencing algorithm used. The combination of these variables yields various solutions to the problem, thus providing a useful guide in designing effective picking systems. The average travel time of the AS/RS in each configuration is calculated by computer simulation in a full factorial experimental design. A subset of the results derived from this study has been successfully implemented in a case study, involving the BMW AG Italy spare parts distribution warehouse.