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Due to the importance of efficiency and responsiveness measures rather than just efficiency measures, this research recognizes both measures when considering overall performance of warehouse operations. Thus, the purpose of this paper is to prioritize overall performance measures associated with warehouse operations in manufacturing, third-party logistics service provider and retail industry supply chains.

The study uses an integrated approach that involves the Q-sort method to group measures into four categories. Fuzzy analytical hierarchy process was then used to prioritize individual performance measures within each category and integer liner programming model was used to validate prioritized categories, using the judgment of multiple decision makers across three industries.

The result shows that the financial category is a dominating performance category in managing warehouse operations across all three industries selected. Within the financial category, cost of insurance accounted for 25 percent of total weight of the category, and is considered to be a powerful measure. The financial category is verified by multiple decision makers across three industries, as the most important performance category.

As part of adopting the proposed methodology in practice, it needs to be guided by overall methodology appropriate for industry-specific contexts.

Key novel aspects of this study are to categorize warehouse operations measures and analyze their perspectives in different industries, understand dominant categories of warehouse operations measures in the contemporary supply chain and finally to explore to what extent current practices lead to achieving efficiency and responsiveness in the selected industries.

This paper aims to report a survey carried out among European distribution centres (EDCs) in The Netherlands. EDCs are forerunners in implementing advanced logistics systems, since they are responsible for the distribution of a manufacturer's products to customers in a larger part of Europe, Middle East and Africa, often with strict service level agreements.

Warehouses with different outsourcing relations (own‐account, dedicated outsourced and public outsourced) are compared on operational aspects, performance, and future developments. Moreover, within the group of own‐account warehouses, especially Asian and American operations are tested for differences.

Outsourced warehouse operations appear to have a higher percentage of error‐free deliveries and to be more flexible than own‐account operations. Based on the literature it was expected that a difference in productivity and quality between American and Asian EDCs would be found. Some differences in operations are found. For example, Asian EDCs put more effort in quality methods and involve more native managers. However, significant differences in productivity and quality levels were not found. Apparently, the differences in operations do not have a substantial effect on the warehouse performance.

This paper is a first attempt to compare advanced warehouse operations from different origins, either operated by service providers or not.

The purpose of this paper is to investigate how warehouse management, understood as a cluster of planning and control decisions and procedures, is organized and driven by task complexity (TC) and market dynamics (MD).

A multi‐variable conceptual model is developed based on the literature and tested among 215 warehouses using a survey.

The results suggest that TC and MD are the main drivers of warehouse management, measured by planning extensiveness (PE), decision rules complexity, and control sophistication. Differences between production and distribution warehouses are found with respect to the relationship between assortment changes and PE. Furthermore, TC appears to be a main driver of the specificity of the warehouse management (information) system (WMS).

This paper is based on 215 warehouses in The Netherlands and Flanders (Belgium); future research may test the model on a different sample. More research should be conducted to further validate the measures of the core dimensions of warehouse management.

Different levels of TC and MD characterize warehouses. Such a characterization is a first step in determining generic warehouse functionalities and helping managers to decide on the best software for their warehouse operations.

The paper defines the core dimensions of warehouse management, makes them measurable, tests them and assesses how these drivers impact specificity of WMS. The paper shows that PE in production warehouses is driven by different variables than in distribution centers.

The purpose of this paper is to compare efficiency scores from the benchmarking exercise with those of previous studies and to discuss the reasons behind diverging results.

This paper uses data envelopment analysis (DEA) on primary data of large container terminals.

The results differ strongly from those available in the literature. Causes for these differences are: public (secondary) data are not always accurate; different terminal types are compared; terminals of different scale are compared; and terminals are mixed with ports.

DEA may be appropriate for container terminal benchmarking, but only if better quality and additional input and output data can be obtained. In its application, the analysis should be controlled for terminal types.

Summary of the state of play in the use of DEA methodologies for comparing the efficiency of container terminals at ports.

The purpose of this paper is to provide a decision support system (DSS) to enhance the performance of cross‐border supply chain, the goal of which is to improve order planning and fulfill customer orders within the warehouse.

An intelligent DSS, namely order picking planning system (OPPS) with the adoption of case‐based reasoning, is proposed to support managers in making appropriate order fulfilling decisions when an order involves cross‐border activities. Similar cases in the past are retrieved and adapted in reference to the new order. A case study is then conducted to illustrate the feasibility and effectiveness of the system.

Recommendations are given to replace the objective decision‐making process in cross‐border supply chain with the help of the DSS. The warehouse order planning time has been reduced and useful information from past order records can be applied to solve new problems.

With the increasing demand for material sourcing across different places, cross‐border supply chain has raised the concern for manufacturers to seek lower material and rental costs. The focus on warehouse operations can increase efficiency in order delivery by considering cross‐border requirements.

Many supply chains have faced disruption during Covid-19. Artificial intelligence (AI) is one mechanism that can be used to improve supply chain resilience by developing business continuity capabilities. This study examines how firms employ AI and consider the opportunities for AI to enhance supply chain resilience by developing visibility, risk, sourcing and distribution capabilities.

The authors have gathered rich data by conducting semistructured interviews with 35 experts from the e-commerce supply chain. The authors have adopted a systematic approach of coding using open, axial and selective methods to map and identify the themes that represent the critical elements of AI-enabled supply chain resilience.

The results of the study highlight the emergence of five critical areas where AI can contribute to enhanced supply chain resilience; (1) transparency, (2) ensuring last-mile delivery, (3) offering personalized solutions to both upstream and downstream supply chain stakeholders, (4) minimizing the impact of disruption and (5) facilitating an agile procurement strategy.

The study offers interesting implications for bridging the theory–practice gap by drawing on contemporary empirical data to demonstrate how enhancing dynamic capabilities via AI technologies further strengthens supply chain resilience. The study also offers suggestions for utilizing the findings and proposes a framework to strengthen supply chain resilience through AI.

The study presents the dynamic capabilities for supply chain resilience through the employment of AI. AI can contribute to readying supply chains to reduce their risk of disruption through enhanced resilience.

The purpose of this paper is to present an analysis of how different sourcing policies and resource usage affect the operational performance dynamics of warehouse processes.

The system dynamics (SD) methodology is used to model warehouse operations at the distribution centre of a leading fast‐fashion vertical retailer. This case study includes a detailed analysis of the relationships between the flow of items through the warehouse, the assignment of staff, the inventory management policy, and the order processing tasks.

Case scenario simulations are provided to define warehouse policies enabling increased efficiency, cost savings, reduced inventory, and shorter lead‐times.

The case study reaffirms that a flexible usage of human resources, outsourcing of selected warehouse operations, and sourcing from reliable manufacturers may result in important performance improvements for centralised warehousing.

It is proved that SD is a valuable tool in the field of operations management, not only to support strategic evaluations but also to execute a detailed analysis of logistical processes and make scenario‐based dynamic decisions at the operational level.

Transport is the European Union (EU) sector that produces the second highest amount of greenhouse gas emissions. In its attempts to promote the environmentally sustainable development of transport, the EU has focussed on intermodal transport in particular – but with limited success. It is important to understand how freight transport is selected, which criteria are used and what role environmental sustainability and intermodal transport play in the selection. Therefore, the purpose of this paper is to focus on the role of environmental sustainability and intermodal transport in transport mode decisions. The authors look at this issue from the perspective of logistics service providers (LSPs) and buyers, as they are important stakeholders in guiding this process.

To gain a holistic view of the current state of research, the authors have conducted a systematic literature review of the role of environmental sustainability and intermodal transport in transport mode decisions. The authors have further examined the findings concerning requests for quotations (RfQs), tenders and transport contracts, as these are also linked to decisions on transport choice.

The findings from the literature review include the results of descriptive and structured content analysis of the selected articles. They show that the discussion on environmental sustainability and intermodal transport as a sustainable mode, together with the transport mode selection criteria, RfQs/tenders and transport contracts, is still a rather new and emerging topic in the literature. The main focus related to the selection of transport mode has been on utility and cost efficiency, and only recently have issues such as environmental sustainability and intermodal transport started to gain greater attention. The findings also indicate that the theoretical lenses most typically used have been preference models and total cost theories, although the theoretical base has recently become more diversified.

There is still a need to extend the theoretical and methodological base, which could then lead to innovative theory building and testing. Such diverse application of methodologies will help in understanding how environmental sustainability can be better linked to mode choice decisions.

The findings will be of interest to policy makers and companies opting for environmentally sustainable transport solutions.

If the EU, shippers and LSPs take a more active stance in promoting environmentally sustainable transformation models, this will have long-lasting societal impacts.

It seems that this systematic literature review of the topic is one of the first such attempts in the current body of literature.