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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.

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.

Transport logistics systems in companies with additional public service roles are complex and could benefit from new approaches to performance management. Existing approaches tend to be fragmented; thus, the purpose of this paper is to integrate balanced performance measures, a dynamics model, and the problem-solving method into a new model.

An integrated framework is developed by reviewing literature and synthesising attributes of performance measurement systems, system dynamics and problem-solving methods. The framework is then applied to a multiple-role company’s sea transportation system. The study uses statistical methods to identify performance indicators, management interviews with document study to develop a dynamics model, and simulation methods to formulate an improvement plan.

The performance measurement design stage allowed for the identification of balanced, aligned performance indicators, while the system dynamics model illuminated the impact of the system components’ interrelationships on performance output. The problem-solving method allowed for analysis of system performance, identification of constraints and formulation of a performance improvement plan.

This framework can help transport logistics system stakeholders in multiple-role companies avoid silo thinking, misaligned performance objectives, local optima and short-term solutions.

This study contributes to the existing body of research by introducing a novel framework integrating performance measurement, system dynamics and the problem-solving method. It also addresses a theoretical gap by showing how interconnecting components of sea transportation systems affect transport logistics performance.

Urban logistics pooling is seen as a serious alternative to imposed urban consolidation centers. However, such strategies are quite new in urban distribution and merit to be evaluated using adapted methods that take into account the group decision nature of resource pooling. This chapter aims to propose, via an experimental collaborative decision support method, to define a grid of indicators and a reference situation database to measure the sustainable performance of urban logistics pooling systems.

The proposed methodology combines a systematic literature analysis of Key Performance Indicators and a group decision support method to choose a suitable set to define a dashboard. First, we identify the main sustainability indicators from an overview of the literature, and class them into the categories of the 4As Sustainable Transport vision (i.e., Awareness, Act and shift, Avoidance, and Anticipation). Then, a group of 20 experts is solicited for an iterative experimental group decision-making method to converge to the concordance of a set of indicators.

The method allowed us to define a hierarchic dashboard agreed by all experts with seven main indicators and nine secondary indicators. Moreover, the experts signaled the need of defining a unified basis of comparison to estimate initial situations. To do this, we proposed a database of urban routes from the French Surveys on Urban Goods Transport.

The proposed dashboard is an example, and to provide a more unified one, the experience has to be iterated using different groups of decision-makers.

This method has the advantage of proposing a dashboard agreed by all involved stakeholders. Therefore, this chapter shows the patterns to reproduce it since the method is able to be replicated in any context of group decision in urban logistics.

The originality of the chapter arises on the use of an experimental group decision method using a group with a majority of practitioners, and to validate it by consensus.

The purpose of this paper is to present a content analysis of corporate social responsibility (CSR) reports published by logistics service providers (LSPs), and to analyse factors influencing the level and scope of reporting. In order to address this objective, the authors show to what extent various social and environmental categories are covered in the CSR reports. The authors also investigate whether any differences in the use of CSR indicators can be found with regard to the use of a formal reporting framework, the size of a company, location of its headquarter, and ownership structure.

The study begins with a comprehensive literature review on the CSR policies and practices in relation to the field of logistics. A database of 350 international LSPs is compiled based on independent rankings of top logistics companies. Applying a content analysis approach, corporate web sites and CSR reports are examined in order to investigate how sustainability is reported and what CSR-related indicators are published. Statistical analysis is carried out to provide insight into whether any differences in the use of CSR indicators can be found with regard to four key factors identified in the literature review.

Although aspects of sustainability are mentioned on corporate web sites of most LSPs in the database (53 per cent), only 13 per cent publish formal CSR reports. This research identifies a variety of indicators used by LSPs and shows that the use of a formal reporting framework and the size of a company are the two main factors influencing the levels of CSR reporting in the sector.

This paper provides an insight into how transparently LSPs report on the sustainability of their performance. LSPs can compare their own CSR reporting approaches to the body of scientific literature and the findings presented in this paper, in order to adapt more general concepts and best practice evidence to their needs.

By focusing on best practice in reporting of the environmental and social performance, this research can potentially improve the long-term sustainability of the logistics sector.

This is the first study providing a comprehensive review of the CSR reporting practice in the third party logistics sector. As such, this paper provides an important basis for CSR-related research in the field of logistics and supply chain management. Several areas for future research are also identified.

The purpose of this paper is to empirically examine what senior supply chain executives measure and how they perceive performance measurement from a balanced scorecard (BSC) perspective.

A survey designed from the four perspectives of the BSC framework is conducted on senior executives involved in the supply chain functions of client firms, and those executives from the logistics service provider industry.

Despite the need to provide a balanced approach to performance measurement, firms remain focused on traditional financial measures (gross revenue, profit before tax, and cost reduction). From a supply chain perspective, the non‐tangible measures such as customer satisfaction are most measured. Other key logistics performance indicators include on‐time delivery, and customer satisfaction.

The findings are based on a sample size of 113. Thus, some respondent clusters are smaller than others. Hence, the results may not be representative of the individual clusters.

Each supply chain entity must adopt a more balanced perspective in its performance measurement and management. Companies need to recognize the importance of the drivers of strategic future performance. Managing a given supply chain's overall performance necessitates the coordination of measures across the different entities on the supply chain, often requiring all entities to adopt a common balanced perspective in their performance management to facilitate the overall performance and competitiveness of the entire supply chain.

This paper is the first attempt to apply the BSC framework on the logistics industry.

Confronting globalization, logistics systems need to achieve greater efficiency in processes to be competitive. Competitiveness is not related only to economic aspects; companies need to perform their activities aligned to the triple bottom line concept. In this context, the main objective of this research is to analyze how Brazilian professionals think about sustainable logistics through an exploratory study.

A set of 33 indicators, compiled from a literature review, was used to develop a research instrument applied in a survey of 50 professionals working with logistics processes in Brazilian companies. First, the Cronbach's alpha was run to verify the questionnaire reliability. Respondents were grouped through cluster hierarchical analysis, and their answers were analyzed through TOPSIS technique.

The results from the sample analysis showed that Brazilian professionals think in the three dimensions of TBL when considering sustainable logistics systems; however, social aspects are relegated to a second level of importance when compared with environmental and economic indicators. In addition, it is possible to highlight that most important environmental aspects are directly related to economic objectives.

There are few studies examining sustainable logistics system in Brazilian companies that consider the purpose mentioned by evidencing originality in the same way as this current study. The results presented here can contribute to amplifying debates in the theme.

Logistics sector is recognized as one of the core enablers of the economic development of a nation. However, inefficiency in logistics operations impedes the achievement of intended targets by increasing the cost of doing business. Also, it is difficult to improve the efficiency of a country’s logistics operations without a metric for evaluating and understanding logistics capabilities and efficiency. Therefore, the present study has developed In-country Logistics Performance Index (ILP Index) to propose a benchmarking tool to measure the in-country logistics competitiveness, particularly in the setting of emerging economies, i.e. India.

This study has developed a unified index using principal component analysis and quintile approach. In addition, the proposed index relies on several dimensions that are developed and illustrated using quantitative secondary panel data.

The findings of this study reveal that the quality of infrastructure, economy, and telecommunications are the three most important dimensions that may significantly support the growth of the transportation and logistics sector. The results reveal that Gujarat, Tamil Nadu, and Maharashtra are the top performers whereas, Bihar, Jharkhand, and Jammu and Kashmir scores the least due to the insufficient logistics infrastructure as compared to other Indian states.

Given the extensive focus on international-level logistics index (like World Bank’s LPI) in the existing literature, this study intends to develop in-country logistics index to evaluate the logistics capabilities at the regional and state level. In addition, unlike prior studies, this study utilizes quantitative secondary data to eliminate cognitive and opinion bias. Moreover, this benchmarking tool would assist decision-makers in idealizing standard practices toward sustainable logistics operations. Additionally, the ILP index could serve the international investors in crucial decision-making, as it provides valuable insights into a country’s logistics readiness, influencing their investment choices and trade preferences. Finally, the proposed approach is adaptable to measuring the overall performance of any other industry/economy.

Construction logistics is an essential part of Construction Supply Chain Management for both project management and cost aspects. The quantum of money that is embodied in the transportation of materials to site could be 39–58 per cent of total logistics costs and between 4 and 10 per cent of the product selling price for many firms. However, limited attention has been paid to measure the logistics performance at the operational level in the construction industry. The purpose of this paper is to contribute to the knowledge about managing logistics costs by setting a key performance indicator (KPI) based on the number of vehicle movements to the construction site.

A case study approach was adopted with on-site observations and interviews. Observations were performed from the start of construction until “hand-over” to the building owner. A selection of construction suppliers and subcontractors involved in the studied project were interviewed.

Data analysis of vehicle movements suggested that construction transportation costs can be monitored and managed. The identified number of vehicle movements as a KPI offers a significant step towards logistics performance management in construction projects.

This research paper demonstrates that framework of using vehicular movements meet the criterion of effective KPI and is able to detect rooms for improvements. The key findings shed valuable insight for industry practitioners in initiating the measurement and monitor “the invisible logistics costs and performance”. It provides a basis for benchmarking that enables comparison, learning and improvement and thereby continuous enhancement of best practice at the operational level, which may accelerate the slow SCM implementation in the construction industry.

The objective of this paper is to propose an approach to comparatively analyze the performance of drugs and consumable products warehouses belonging to different healthcare institutions.

A Cluster Analysis is completed in order to classify warehouses and identify common patterns based on similar organizational characteristics. The variables taken into account are associated with inventory levels, the number of SKUs, and incoming and outgoing flows.

The outcomes of the empirical analysis are confirmed by additional indicators reflecting the demand level and the associated logistics flows faced by the warehouses at issue. Also, the warehouses belonging to the same cluster show similar behaviors for all the indicators considered, meaning that the performed Cluster Analysis can be considered as coherent.

The study proposes an approach aimed at grouping healthcare warehouses based on relevant logistics aspects. Thus, it can foster the application of statistical analysis in the healthcare Supply Chain Management. The present work is associated with only one regional healthcare system.

The approach might support healthcare agencies in comparing the performance of their warehouses more accurately. Consequently, it could facilitate comprehensive investigations of the managerial similarities and differences that could be a first step toward warehouse aggregation in homogeneous logistics units.

This analysis puts forward an approach based on a consolidated statistical tool, to assess the logistics performances in a set of warehouses and, in turn to deepen the related understanding as well as the factors determining them.