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A great deal of attention in physical distribution management has been raised by both practitioners and academicians as to what type of carrier service is desired by shippers and consignees. From the viewpoint of the buying system, the selection of an appropriate transport mode and the selection of a given carrier and particular services offered by the carrier is an important decision. Billions of dollars are spent annually by the shipping public. The sheer magnitude of the expenditure coupled with the limitation on customer service which can result from the carrier selection choice is making it an increasingly important decision. Purchasing systems need better information concerning carrier selection variables than they now have to enable them to design the organisation for buying carrier services, and to select, train, and supervise traffic people as well as to decide how much of the process can be computerised.

The purpose of this paper is to categorize transportation choice research (mode choice and carrier selection) leading to insight on themes in the literature and directions for future research

The proposed transportation choice research categorization framework is based on a comprehensive literature review of the peer‐reviewed journal papers published over the past 20 years, supplemented with a review of practitioner articles to identify current challenges in the logistics field. The academic papers are analyzed in terms of research purpose/question, methodology, findings, and challenges addressed.

The review reveals that several important themes are under‐represented in the transportation choice literature: environmental and energy use concerns; security in the supply chain; supply chain integration; international growth; and the role of the internet and emerging information technologies. This review also found that simulation, case study, and interview methodologies are under‐represented, and that normative modeling research is only lightly represented in this research.

The contributions of this research are three‐fold: the development of a classification scheme for transportation choice research, a structured review that provides a guide to earlier research on the subject of transportation choice, and the identification of research issues for future investigation.

The purpose of this paper is to assist ocean container carriers in devising effective marketing strategies to attract and retain Indian shippers by letting them understand the list of criteria Indian shippers use in the carrier selection decisions and also the amount of importance they assign to each criterion during such decisions.

To explore the criteria, review of transportation literature, customer satisfaction survey questionnaires of container carriers and SERVQUAL battery was undertaken. Telephonic interviews and focus group interview were also conducted for this purpose. In order to evaluate the criteria, analytic hierarchy process (AHP) was used. In the AHP, the pairwise comparisons were carried out by another focus group with the help of a questionnaire. For AHP calculations, the Expert Choice 11.5 software was used.

Indian shippers use 45 criteria in the container carrier selection process and out of these, low freight is ranked as the most important criterion and pricing flexibility is the second most important one. In the list, these are the only two criteria found to be with more than 10 per cent importance. The least importance is given to five criteria: gifts and compliments, online booking, physical facilities, professional appearance and trade announcements which are weighed with 0.10 per cent importance. The paper has explored and added several new carrier selection criteria to the existing transportation literature.

The paper enables container carriers to understand various criteria Indian shippers use in the container carrier selection decisions along with their relative importance in such decisions. It also helps container carriers to decide which criterion is to be given priority and which not while devising their marketing strategies for Indian market. This decision is vital to maximize shippers' satisfaction.

The paper is the first ever carrier selection study undertaken in India and is expected to open up enormous scope for future research.

Focusses on the identification of the significant differences in the assessment of the importance of 35 carrier selection variables by both carriers and shippers. The results indicate that significant perceptual differences do exist for those surveyed, and it is quite possible that such differences also exist in the general population. Industrial marketing managers involved in satisfying shipper needs must gain an appreciation of actual shipper needs in order to develop service mixes which will satisfy those needs more thoroughly.

To present a decision support system (DSS) enabling the analysis of the cost‐effectiveness of direct‐shipping long‐haul road transport policies, including full truck load (FTL) and less than truck load (LTL) modes, and to select the optimal carrier.

Analytical estimation of transportation costs is provided in a framework including an interactive computer procedure and a dedicated database structure capable of characterizing the logistics system.

Main criticalities of manual logistic planning are: sub‐optimal selection of carrier and excessive use of LTL transport, while the optimal FTL vs LTL trade‐off is not fully explored in practice.

This is an analysis tool of user‐defined scenarios and does not provide the automatic synthesis of shipments planning. Admittedly, this model does not attempt to optimize the shipping strategy, but to quantitatively assess the effects of the adopted decisions.

Alternative shipping policies can be compared to perform what‐if analyses and explore the outcome of alternative decisions (FTL vs LTL shipping modes) even in terms of transportation expenditures. Allows rapid selection of the optimal motor carrier and assesses the extra cost due to a sub‐optimal choice. Gives the experienced manager a framework for critical assessment of shipping decisions, suggesting improvement areas for cost reduction.

With respect to other software tools for carrier selection provides explicit analysis of extra costs incurred by manual planning, thus becoming a strategic tool for logistic decision making. Furthermore, enables managerial insights to be gained and makes manual planning more effective.

The purpose of this paper is to make an initial attempt to understand if environmental and social sustainability practices of suppliers influence the buying decision and ultimate supplier selection in a purchasing organization.

In order to test the effects of sustainability on sourcing decisions, this research utilizes two scenario-based behavioral experiments grounded in a transportation carrier selection context.

Two scenario-based experiments with managerial participants were conducted and results suggest that environmental and social aspects of sustainability are indeed relevant sourcing considerations that impact both economic and relational aspects of exchange relationships. These sustainability aspects enable carriers to differentiate themselves in a highly commoditized market.

Extant research advocates for sourcing organizations to take an active role in selecting sustainable suppliers. However, little is known about how supplier sustainability performance impacts sourcing decisions and supplier selection. This research addresses this gap in the literature and explores the effects of price, environmental, and social sustainability on purchase intentions and trust formation in a transportation carrier selection context.

Purpose — The main objective of this survey is to collect data for the development of six models in a freight modeling framework. The framework aims to simulate the interactions between shippers and carriers in a freight market.

Methodology/approach — A web-based survey was designed using stated preference methods and experimental auctions, to collect information about shipper and carrier behavior when facing hypothetical situations. Hypothetical situations were constructed using information collected during the survey.

Findings — The modeling results are available for one model, the carrier selection model. In this model, data were collected using stated preference (SP) methods. Nine SP designs were developed using D-designs and an approach to minimize the nonattendance problem. A multinomial probit model was used. No bias was found due to the position of alternatives on the screen, signs of the parameters are as expected, and level of service attributes are relevant in the carrier selection process.

Research limitations/implications — The final response rate was small (about 9%) which is not uncommon in surveys with freight managers. This response rate might result in nonresponse bias of the estimates, which is the subject of future research.

Practical implications — Since freight transport is the output of a freight market, the application of the freight modeling framework presented in this chapter has potential to improve forecasts of freight flows.

Originality/value of chapter — To the best of our knowledge, the survey presented in this chapter consists of an innovative data collection procedure for the development of an original freight modeling framework.

Procurement planning has always been a huge and challenging activity for business firms, especially in manufacturing. With government legislations about global concern over carbon emissions, the manufacturing firms are enforced to regulate and reduce the emissions caused throughout the supply chain. It is observed that procurement and logistics activities in manufacturing firms contribute heavily toward carbon emissions. Moreover, highly dynamic and uncertain business environment with uncertainty in parameters such as demand, supplier and carrier capacity adds to the complexity in procurement planning. The paper aims to discuss these issues.

This paper is a novel attempt to model environmentally sustainable stochastic procurement (ESSP) problem as a mixed-integer non-linear program. The ESSP optimizes the procurement plan of the firm including lot-sizing, supplier and carrier selection by addressing uncertainty and environmental sustainability. The model applies chance-constrained-based approach to address the uncertain parameters.

The proposed ESSP model is solved optimally for 30 data sets to validate the proposed ESSP and is further demonstrated using three illustrations solved optimally in LINGO 10.

The ESSP model simultaneously minimizes total procurement cost and carbon emissions over the entire planning horizon considering uncertain demand, supplier and carrier capacity.

This discussion of buying motor carrier services in a deregulated environment identifies the key factors influencing supplier choice.

Examines transport selection criteria with particular reference to Norwegian exports. Because results of studies of carrier selection determinants tend to have a degree of consensus, there is a risk of assuming context‐free determinants, whereas throughout the world there is a range of contexts that may influence determinants. Norway has distinctive features including export dependency with a small home market, a peripheral location, and an extreme topography and climate. Despite an awareness of logistics concepts, Norwegian exporters appear to place more emphasis on direct transport costs than many context‐free studies would suggest. The paper concludes that logistics studies should have an accepted typology of relevant context features, so that better comparisons between studies can be made.