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The purpose of this research paper is to present a performance measurement system for enterprise networks (PMS‐EN) developed within the context of a European project's context.

This research follows a constructivist approach, based on the following activities: recompilation, analysis and study of scientific knowledge, acquisition of main postulates and construction of initial framework.

This paper describes a performance measurement system called PMS‐EN that can be used for managing performance in the enterprise networks context. After analysing different frameworks relating to such a thematic, and once their main weaknesses were identified, it was decided to develop a PMS that will overcome these difficulties and, at the same time, provide enterprises operating within these environments, with a simple, efficient, robust and useful framework.

This PMS has been built upon the framework called PMS IE‐GIP, but thought could be given to building it upon other frameworks existing within the literature.

Even though this proposal has been successfully applied to an enterprises network, it should be tested further by implementing it to other enterprises networks, with the main objective of enriching and extending it to other sectors.

This paper has described a new performance measurement system called PMS‐EN that can be used for managing performance in the enterprise networks context. It provides enterprises operating in this context a simple, efficient, robust and useful framework. Additionally, it is an efficient and effective tool for creating, managing and monitoring performance measures, in an analytical and graphical way, at both global and individual levels of the enterprise networks, which is lacking in most of the existing frameworks.

Contemporary literature reveals that, to date, the poultry livestock sector has not received sufficient research attention. This particular industry suffers from unstructured supply chain practices, lack of awareness of the implications of the sustainability concept and failure to recycle poultry wastes. The current research thus attempts to develop an integrated supply chain model in the context of poultry industry in Bangladesh. The study considers both sustainability and supply chain issues in order to incorporate them in the poultry supply chain. By placing the forward and reverse supply chains in a single framework, existing problems can be resolved to gain economic, social and environmental benefits, which will be more sustainable than the present practices.

The theoretical underpinning of this research is ‘sustainability’ and the ‘supply chain processes’ in order to examine possible improvements in the poultry production process along with waste management. The research adopts the positivist paradigm and ‘design science’ methods with the support of system dynamics (SD) and the case study methods. Initially, a mental model is developed followed by the causal loop diagram based on in-depth interviews, focus group discussions and observation techniques. The causal model helps to understand the linkages between the associated variables for each issue. Finally, the causal loop diagram is transformed into a stock and flow (quantitative) model, which is a prerequisite for SD-based simulation modelling. A decision support system (DSS) is then developed to analyse the complex decision-making process along the supply chains.

The findings reveal that integration of the supply chain can bring economic, social and environmental sustainability along with a structured production process. It is also observed that the poultry industry can apply the model outcomes in the real-life practices with minor adjustments. This present research has both theoretical and practical implications. The proposed model’s unique characteristics in mitigating the existing problems are supported by the sustainability and supply chain theories. As for practical implications, the poultry industry in Bangladesh can follow the proposed supply chain structure (as par the research model) and test various policies via simulation prior to its application. Positive outcomes of the simulation study may provide enough confidence to implement the desired changes within the industry and their supply chain networks.

Cold supply chain technology is critical for extending the shelf life of perishable leafy green vegetables. This study aims to investigate the concept of managing leafy green products using cold supply chain technology and visualise the findings.

Using expert interviews and data visualisation approaches, this study examines how organisations deal with the complexity of cold supply chain processes and networks. Thematic data analysis was conducted. Two types of software were used to accomplish the research objectives. The first software used AntConc version 3.5.8 with word frequency (N-gram) analysis, whereas the second software, VOSViewer offered co-occurrence network visualisation and cluster analysis.

The findings show that the appropriate design of cold chain technology is critical in ensuring the freshness and quality of leafy green vegetables. The primary goal of managing the complexity of the cold supply chain is to achieve product freshness and energy efficiency. Regardless of the importance of energy efficiency, cold supply chains require warehouse management solutions for transportation and storage.

This study found that proper design and selection of appropriate technology in the cold supply chain have driven the companies to improve the firms’ competitive advantage while delivering the best quality of perishable leafy green food products. In addition, the freshness, quality, safety, and health of leafy green vegetables will be determined by the company’s capacity to handle long-distance transportation and select the appropriate distribution channels and storage. Warehouse management system technology was found to be secondary compared to cold chain technology, although distribution and warehousing practices are critical for supply chain performance.

This study has established the conceptual indicators based on best practices and outcomes for the cold supply chain. This study argued that cold supply chain management and performance should be monitored independently. Furthermore, the theory of technological adoption can be expanded to include product nature as a driver. Finally, this study has established cold chain best practices based on a perishable supply chain perspective. The findings of this study can promote healthy foods to solve zero hunger and achieve sustainable development goals. Although this study demonstrates that technology improves supply chain practises, cold storage and logistics benefit the most from technological advancements. In contrast, non-cold supply chains benefit from technology-driven improvements in performance.

The purpose of this paper is to overview carefully selected existing literature to enable further analysis directly concerned with facilities management (FM) supply chain structure, components, strategic issues, challenges and risk. Following the key aspects of assembly, design and, most importantly, management of FM supply chain are explored so that a guidance design framework can be put forward.

This paper examines the optimum technique that can be applied by clients and FM service providers where FM functions are outsourced. The paper initially defines the network structure of the FM supply chain and then suggests a conceptual model for making decisions about FM supply chain network at the strategy level. Furthermore, the paper argues for both supply chain design and for critical node micro management in a transparent supply chain environment with the FM acting as the strategic lens through which the focus of the supply chain is achieved.

This paper presents a process for designing and making decisions of FM service supply chain network. The process begins with an examination of the needs of facility services. It is followed by the step of identifying available options in delivering and processing the services. The third stage involves modelling structures of FM supply chain network. Then to make a final decision, all possible models have to be evaluated for their optimisation, both quantitative (cost) and qualitative (performance). At the end, the model with best optimisation should be selected.

This paper proposes a conceptual framework for designing facility service supply chain strategy and configuration to fit with the specific nature of facility service demand of a given organisation. The framework, featuring a set of processes including examining demand nature, identifying options available and analysing options, is first aimed at providing an assisting tool in identifying optimum supply chain network/solution of facility services and, second, intends to stimulate further discussions on this continuously evolving and challenging market.

This paper identifies sources of disruptions that impede resilience in the dairy supply chain in an emerging economy context.

A case study approach is used. The unit of analysis is the Indian dairy supply chain (IDSC). Data were collected from nine major dairy cooperatives and five major private firms operating across the Indian states. A total of 28 face-to-face semi-structured interviews were conducted with two individuals from each case dairy organisation during January 2016 to December 2017.

Disruption sources in the IDSC are both external and internal and impact the quality of products and the distribution network. Compared to developed economies, in an emerging economy context such as India, the number of disruptions is very high. These disruptions negatively impact resilience and affect efficiency, flexibility, responsiveness and product quality.

The findings stress the importance of integration across upstream and downstream processes in the IDSC. However, contextual factors should also be considered when designing the supply chain configuration. Small supply sources may be conceptualised as distributed sources that can be consolidated on the move using logistics and IT-enabled solutions. Moreover, the underlying processes of the dairy supply chain need to adapt to the external environment, and internal causes of disruptions should be eliminated through process redesign.

The findings highlight that the efficient operation of the IDSC is challenged by disruptions, the fragmentation of various stages and poor support infrastructure. The findings may be useful in managing supply networks which have linkages in emerging economies.

The upstream stage of the IDSC involves many small- and medium-sized unorganised producers. The overall inefficiency and poor value generation across the entire IDSC constrain the livelihood and interests of these unorganised producers. Therefore, supply chain design needs to be aligned with social context.

The central contribution of this article is to present sources of disruptions that impact dairy supply chain performance in an emerging economy context. Areas requiring process improvement are also highlighted.

Coordination in supply chains and networks calls for information sharing among the members of the supply chain. Accordingly, information visibility – the availability of relevant information for making supply chain related decisions is an important concept in the context of supply chain management. The purpose of this paper is to identify the different dimensions of information visibility and propose a framework based on these information visibility dimensions. The proposed framework can be used to evaluate supply chain information systems (SCIS) and their contribution towards information visibility in supply chains.

Using the proposed framework, we compare two different SCIS (SAP APO and SupplyOn) to assess the extent to which these systems meet the information visibility needs within supply chains and networks. In order to carry out the comparison, data regarding the two systems in collected using multiple methods such as from system documentations, training sessions, interviews with experts and systems engineers.

The findings indicate that both systems perform well in terms of supporting information visibility, however they serve different purposes within supply chains and networks. Based on the findings, the authors discuss the role of different types of SCIS depending on the characteristics of adopting firms and their supply chains, and how the use of these different systems can complement each other. The research and practical implications of this study are discussed in the overall context of supply chain management.

The framework can be used by organizations to assess the extent to which relevant information is accessible within their supply chains and to select from various SCIS solutions that are available. This research advances understanding on ways of achieving information visibility.

Science of the Crowd is a new paradigm. The research on the relationship between provision and requirement arising from the behavior of the crowd under the interconnected environment is a promising topic. This paper aims at studying a new type of interconnected architecture.

This study is a pioneer work on the establishment of a new type of interconnected architecture – rim chain. The rim chain aims at supporting prompt matching between provision and requirements.

The analytical results suggest that requirements can be fulfilled in accordance with six degrees of separation. In other words, the matching between the requirements and provision takes place with six hops in the rim chain framework.

Knowledge graph is used to implement the rim chain.

With the holistic approaches of Industry 4.0, products, services, standards, and application techniques have been improved. This digitalization era has not only impacted the production and service dynamics, but also added advanced dimensions to logistics and supply chain management. According to the current world standards, consumer behavior makes the logistics and supply chain processes more challenging. Especially during the COVID-19 outbreak, logistics and supply chain operations became more crucial for the firms, as most consumers have tended toward online shopping while they are in lockdown. Therefore, the competitive environment today enables firms to adapt the technologies and approaches of Logistics 4.0 and smart/digital supply chain, as they must respond to consumers' demands quickly. Moreover, firms need to have strong relations with their supply chain partners via these technologies. The technologies such as the Internet of Things (IOT), cyber-physical system, Big Data, and cloud computing help to change the fundamentals of logistics and supply chain and improve processes for all industries. This study aims to analyze the transformation of traditional logistics and supply chain activities into Logistics 4.0 and smart/digital supply chain. Primarily, we hope to analyze the existing studies by investigating the concept of Logistics 4.0 within Industry 4.0 dynamics. As firms develop their logistics operations, their supply chain processes will be shaped by the technologies and applications, and this situation also leads us to find out the importance of smart or digital supply chain operations. Discussing the potentials of smart or digital supply chain also lets us to reveal how companies handle their logistics operations during the COVID-19 period.

Lean distributed manufacturing (LDM) is being considered as an enabler of achieving sustainability and resilience in manufacturing and supply chain operations. The purpose of this paper is to enhance the understanding of how LDM characteristics affect the resilience of manufacturing companies by drawing upon the experience of food manufacturing companies operating in the UK.

The paper develops a conceptual model to analyse the impact of LDM on the operational resilience of food manufacturing companies. A triangulation research methodology (secondary data analysis, field observations and structured interviews) is used in this study. In a first step, LDM enablers and resilience elements are identified from literature. In a second step, empirical evidence is collected from six food sub-sectors aimed at identifying LDM enablers being practised in companies.

The analysis reveals that LDM enablers can improve the resilience capabilities of manufacturing companies at different stages of resilience action cycle, whereas the application status of different LDM enablers varies in food manufacturing companies. The findings include the development of a conceptual model (based on literature) and a relationship matrix between LDM enablers and resilience elements.

The developed relationship matrix is helpful for food manufacturing companies to assess their resilience capability in terms of LDM characteristics and then formulate action plans to incorporate relevant LDM enablers to enhance operational resilience.

Based on the literature review, no studies exist that investigate the effects of LDM on factory’s resilience, despite many research studies suggesting distributed manufacturing as an enabler of sustainability and resilience.