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The purpose of the study is to develop an in-depth understanding of how supplier–buyer relationships, particularly in operational coordination, are affected when a company introduces an environmental sustainability target (CO₂ emissions reduction) into its supply chain operations. The investigation focuses on the joint activities of the logistics function of the company (buyer) and the third-party logistics providers (3PLs) (suppliers).

This single-case study takes the perspective of a sustainability-conscious Danish company that outsources logistics services to 3PLs but maintains internal logistics as a boundary function. The value offering point/order penetration point (VOP/OPP) methodology is used.

The results showed that the introduction of sustainability led to the emergence of multiple decoupling points in both the demand and the supply chains. The logistics function therefore began to play the role of “integrator” across both the functions in the company and the organizations in the supply chain. The findings indicate the need to develop clear cross-functional and inter-organizational coordination mechanisms.

This is a single-case study in a Danish context.

The study provides rich insights into managing the implementation of sustainability in supply chain operations, and it exemplifies how the VOP/OPP tool can be applied by 3PLs to develop sustainable offerings.

The current research on sustainable supply chain management takes into account the entire supply chain. In contrast, this study focuses on the logistics function. The VOP/OPP concept is used to capture the processes used in actual practice, and both the buyer and the supplier are considered potential co-producers of value.

The purpose of this paper is to investigate the impact of sharing and utilizing remaining shelf life (RSL) information from grocery stores by the use of age-based replenishment policies for perishables.

The performance is evaluated through a discrete event simulation model, which mirrors a part of one of Norway’s largest grocery retailer and uses their POS data to reflect a realistic demand pattern of 232 stores for one year.

The findings indicate that a current age-based replenishment policy (EWA policy) provides a significant improvement of 17.7 percent increase in availability for perishables with a shelf life between 4 and 11 days, but suffers from high inventory levels and only reduces waste by 3.4 percent compared to a base stock policy. A proposed adjustment to the EWA policy, EWA_SS, provides a more balanced performance in the conducted study with a reduction of 10.7 percent waste and 10.3 percent increase in availability by keeping the same average inventory level.

Sharing and utilizing RSL information for replenishment of perishables with a predetermined shelf life between 6 and 11 days can be beneficial, and could enable the replenishment processes to be automated. However, for products with longer shelf life, the benefits slowly diminish.

The study proposes a new age-based replenishment policy which in the conducted study showed a more balanced performance improvement, in both waste and availability, compared with previous replenishment policies.

Two of the most sought after properties in today's dynamic and competitive manufacturing environment are labour flexibility and effective teamworking. This is due in no small part to the growth of modern manufacturing philosophies which strongly advocate the need for both teamwork and flexibility. This paper aims to explore the impact of two labour flexibility strategies (functional flexibility and intra‐cell flexibility) on teamwork in a cellular manufacturing environment.

Using a revised input/process/output (IPO) team effectiveness model a questionnaire was designed and a case study undertaken at a large Australian manufacturer. The knowledge, skills, and ability (KSAs) gained from job rotation (flexibility) was quantitatively tested against team processes and team performance.

It was found that functional flexibility had an overall stronger, significant effect on the five team processes tested (communication, conflict resolution, problem solving, goals and performance, tasks and planning) than did intra‐cell flexibility. In regards to output (team performance) functional flexibility performed better in areas such as customer delivery, inventory holdings and quality, while intra‐cell flexibility performed better in the area of absenteeism. An inconclusive result was obtained for the fifth output measure, efficiency rate.

The study was conducted at a single organisation, which limits the generalisation of the outcomes, therefore broader research on the area is recommended.

The study provides evidence that the individual benefits of both functional flexibility and teamworking may be enhanced while being practised concurrently. With labour flexibility and teamwork being key factors in most modern organisations, the practical implications are much wider than the field of manufacturing.

Individually, the literature offers much on teamworking and flexibility but studies exploring the combined effects of these two important elements are rare, especially in the field of manufacturing. The present paper fills some of the gaps

Maintenance and its management has moved from being considered a “necessary evil” to being of strategic importance for most competitive organisations around the world. In terms of the identification and use of organisational-wide maintenance management models the picture is not clears from both a literature and practical perspective. The purpose of this paper is to shed light on the various models and their use in real-world applications, and in doing so, explores the gap between academic research and practice.

For this paper two comprehensive reviews of the literature were undertaken, first, to identify and categorise the various maintenance management models, and second, to determine the depth of empirical evidence for the popular models in real-world applications. Descriptive analysis of both the practical examples and empirical evidence rates (EER) for maintenance related journals is provided.

Within the literature 37 maintenance management models were identified and categorised. From these, three models were found to be popular: total productive maintenance (TPM), condition based maintenance, and reliability centred maintenance. While several thousand papers discussed these three models, only 82 articles were found to provide empirical evidence.

While providing a sound foundation for future research the outcomes are based solely on academic literature. Analysis of EER outside the field of maintenance is needed to make comparisons.

The paper offers practitioners a detailed contemporary overview of maintenance management models along with tabulated results of practical examples to present day organisations. Such practical-focused papers are very limited within academic literature.

With EER as low as 1.5 per cent for some journals this paper acts as a reminder to researchers that they have an obligation to society to spend taxpayer funded research on addressing social needs and real-world problems.

This paper makes a concerted attempt to link academic research with management and operational practitioners. While the paper is critical of the current academic imbalance between theory and practice, a number of suggestions to improve EER are offered in the conclusions.

New car dealerships play an integral role in the initial and on‐going relationship between the purchaser and vehicle manufacturer. Evidence, mostly anecdotal, suggests that the buying and servicing experience of the paying public in regards to new car dealerships is far from ideal. With continuous improvement systems such as total quality management (TQM) firmly embedded into the manufacturing and supply side of the car industry, questions still exist surrounding the level of quality being adopted by automotive dealerships. The purpose of this paper is to empirically investigate if a quality culture is being developed within the dealership network in South Australia by testing a number of key principles of TQM such as: the support and commitment from top management, customer focus and satisfaction, process management, and employee involvement.

A questionnaire survey was designed and all 105 new car dealerships in the greater Adelaide region were targeted. The service manager from each dealership was advised of the pending posted questionnaire and an excellent response rate of 66 percent was achieved.

Results indicated a reasonably high level of commitment to quality within dealerships, including the important success factors of TQM. Questions still remain about quality endorsement, the type of quality systems being used and the depth of penetration of quality at the ground level.

The limiting features of this study surround the descriptive nature of the data analysis and the fact that the study was only conducted in one major city in Australia.

The findings of this paper can give some implications for senior managers to consider when developing firm's policies.

Empirical studies on quality in automotive dealerships are very scarce in the literature. Therefore, this paper provides an insight into the quality culture of new car dealerships and examines if key TQM principles such as top management support, customer focus, process management, and employee involvement are in fact practised.

The purpose of this paper is to explore the use of lean principles to drive operational improvements in intermodal container facilities. Intermodal terminals have an important role in today’s globally complex supply networks. In the case of bottleneck-derived terminalization, operational issues such as achieving effective material flow remains a significant and common challenge. To assist with such challenges, the paper develops a conceptual framework built on the principles of lean.

In this paper, a theory-building approach is adopted and a lean terminalization framework developed by combining aspects of lean- and intermodal transport theory with practical insights. The framework was developed in conjunction with two intermodal container facilities within the Scandinavian region.

The conceptual framework demonstrates how lean approaches can be used to identify improvement areas, as well as to develop solutions for improved material flow in the context of intermodal transport operations. The framework can be used to guide the lean implementation process in small to medium intermodal container facilities.

The development of the framework represents the first stage of a two-stage project. The second stage will involve implementing and empirically testing the framework in the practical settings of the two-case facilities.

Lean is a philosophical approach that consists of a set of principles that drive organizations to continually add value to their operations. The application of lean practices enhances necessary process steps and eliminates those that fail to add value, thereby improving material flow and performance.

Improving the operational efficiency and effectiveness of container terminals out not only assists the profitability of the facilities but also has flow-on benefits for stakeholders, external customers, consumers and the environment.

Lean has been successfully applied in manufacturing because the 1990s, and though it has also found relevance in a number of other industries, applications of lean within the intermodal transport sector is limited.

The purpose of the paper is to identify the multiple types of data that can be collected and analyzed by practitioners across the cold chain, the ICT infrastructure required to enable data capture and how to utilize the data for decision making in cold chain logistics.

Content analysis based literature review of 38 selected research articles, published between 2000 and 2016, was used to create an overview of data capture, technologies used for collection and sharing of data, and decision making that can be supported by the data, across the cold chain and for different types of perishable food products.

There is a need to understand how continuous monitoring of conditions such as temperature, humidity, and vibration can be translated to support real-time assessment of quality, determination of actual remaining shelf life of products and use of those for decision making in cold chains. Firms across the cold chain need to adopt appropriate technologies suited to the specific contexts to capture data across the cold chain. Analysis of such data over longer periods can also unearth patterns of product deterioration under different transportation conditions, which can lead to redesigning the transportation network to minimize quality loss or to take precautions to avoid the adverse transportation conditions.

The findings need to be validated through further empirical research and modeling. There are opportunities to identify all relevant parameters to capture product condition as well as transaction data across the cold chain processes for fish, meat and dairy products. Such data can then be used for supply chain (SC) planning and pricing products in the retail stores based on product conditions and traceability information. Addressing some of the above research gaps will call for multi-disciplinary research involving food science and engineering, information technologies, computer science and logistics and SC management scholars.

The findings of this research can be beneficial for multiple players involved in the cold chain like food processing companies, logistics service providers, ports and wholesalers and retailers to understand how data can be effectively used for better decision making in cold chain and to invest in the specific technologies, which will suit the purpose. To ensure adoption of data analytics across the cold chain, it is also important to identify the player in the cold chain, which will drive and coordinate the effort.

This paper is one of the earliest to recognize the need for a comprehensive assessment for adoption and application of data analytics in cold chain management and provides directions for future research.

The purpose of this paper is to identify the factors that promote the successful adoption of lean practices in manufacturing firms operating in developing economies in South America.

Based on the results obtained from using structural equation modeling to analyze the collected data, the authors argue that manufacturing organizations need to identify the factors that assist in successfully adopting lean practices in manufacturing firms operating in developing economies in South America. A dataset of 1,809 responses, gathered from manufacturing firms as part of the World Management Survey, was used to find support for the proposed hypotheses.

Several hypotheses were tested finding that lean practice success factors such as organizational targets proved to have a significant and positive relationship with the mediating factor, performance management. Likewise, performance management was also found to have a significant and positive relationship with lean practices adoption. Human capital management (HCM) has a significant but negative predictive relationship with lean practices.

The empirical results of this study provide valuable managerial insights. The results are therefore limited to the economies analyzed and to the variables surveyed as part of the World Manufacturing Survey research.

The results of this research provide a starting point for researchers to continue studying the key lean practice factors and relationships in the achievement of improved performance management, thereby helping managers in developing strategies to improve the lean capabilities of their practices. This, in turn, will increase the organization's competitive advantage sustainably.

This paper identifies and tests the impact of key factors on successful lean practices adoption in South American organizations in the manufacturing sector.