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This chapter describes and discusses the main results of the successful off-hour delivery (OHD) pilot test in the city of São Paulo, Brazil, which took place between October 2014 and March 2015. The pilot engaged major stakeholders in urban distribution, including local authorities, shippers, carriers, and receivers, with the aim to determine what are the main requirements, constraints, opportunities, and threats for establishing a public policy related to shifting deliveries to late night in order to mitigate traffic congestion.

Differently from the former City of New York OHD pilot, here all participant companies were volunteers, with no need for cash incentives. The primary focus in São Paulo was on the issues of safety and noise, besides productivity aspects of travel time, truck speed, and delivery time.

The pilot was very successful, with no registered complaints of noise or security incidents. Travel speeds were obtained from global positioning system (GPS) tracking data and internal delivery systems. The chapter compares daytime and night operations and shows that productivity in some chains would improve significantly, but noise and safety must be carefully controlled to guarantee the expansion of the concept.

This paper aims to present a description of the development and implementation of a combined school- and community-based intervention for the prevention of overweight among children, using the combined methods of social marketing (SMk) and intervention mapping (IM).

The SMk total process planning (TPP) framework was used, a simple but robust framework that consists of five stages: scoping, development, implementation, evaluation and follow-up. In addition, IM tools were embedded in the development stage to strengthen the development element of the campaign.

The use of the SMk TPP framework led to the selection of one specific target segment and behaviour. IM tools helped to select the most important and modifiable determinants and behaviours in the target segment, as well as to select and appropriately apply theoretical methods for influencing determinant and behaviour change. The resulting “Water Campaign” was aimed at Turkish and Moroccan mothers and their 6-12-year-old-children (target segment). This intervention addresses the consumption of sugar-sweetened beverages through the promotion of tap water drinking (target behaviour). The systematic involvement of key stakeholders resulted in capacity-building and co-creation.

A key finding of the present work is that the SMk TPP framework and IM tools can be successfully combined in intervention development, helping to develop enhanced interventions. Combining these methods led to a theory-based and client-oriented intervention, which was directed at multiple ecological levels and which systematically involved key stakeholders. With this detailed description of the intervention development, this paper aims to assist other researchers and practitioners in their quest to develop better interventions.

In this chapter, I proposed the use of structured behavioral analysis (SBA) as a methodological approach to address critical questions in organizational behavior research in sub-Saharan Africa.

The chapter is a conceptual paper that reviews the extant literature on research tools aimed at coding and analyzing behavior, with a particular focus on employee behavior in African organizations.

SBA requires the researcher to act as both an organizational scholar and an anthropologist. As an organizational scholar, the researcher will identify predetermined behaviors that he/she intends to study. Thus, the observation and analysis will be geared toward such behaviors. As an anthropologist, the organizational researcher will observe behaviors that are displayed by employees and managers and use them as the basis for explanation and theory building.

SBA can be used to study behaviors that often occur in African organizations, such as nepotism, corruption, the role of tribal status, and the impact of family generosity, the forced solidarity tax, and obligations on employee behavior.

Findings from SBA could help design interventions to address the detrimental effects of negative behaviors while reinforcing positive behaviors in African organizations.

As a research methodology, SBA is relatively new in the African context although some versions of the method are used in industrial/organizational psychology and ergonomics.

Apparently, scholarly attention is shifting to Society 5.0. The study of Industry 4.0 (I4.0), including its impacts on industrial productions and services, is saturated. However, there is a need for scientific investigations of the relatively new emerging concept of Society 5.0, especially regarding its relationship with I4.0. Given this necessity, the chapter conceptually examines Society 5.0 new normal and its antecedent – I4.0, with a value of the economically productive society in the post-coronavirus pandemic era. The chapter further elucidates the strategic role of emotional resilience and I4.0 collaborative partnership. Society 5.0 aims for a new society based on the notion of a human-centred economy and inclusivity. Consequently, new sets of innovative and artistic jobs will possibly emerge, driven by human competencies in collaboration with technology. In other words, Society 5.0 new normal is targeting a balanced or blended economic approach that favours a fit between society and industry and ensures that all citizens live a high-quality life by eliminating the delimiting effect of technology such as artificial intelligence (AI) on the physical space and wellbeing of the people. Hence, I4.0 collaborative partnership and emotional resilience are perceived as strategic and influential in achieving the feat of a Super Smart Society.

This paper aims to consider a single server queue with system disasters and impatience behavior are evident in our daily life. For this purpose, authors require to know the general behavior of these systems. Transient analysis shows for us how the system will operate up to some time instant t.

In this paper, authors consider a single server queue with system disaster and impatient behavior of customers in a multi-phase random environment, in which the system transits to a repair state after each system disaster. When the system is in a failure phase or going through a repair phase, the new arrivals would be impatient. In case the system is not repaired before the customer’s time expires, the customer would leave the queue and never return. Moreover, after repair, the system becomes ready for service in an operative phase with probability $q_{i} \ge 0.$. Using generating functions along with continued fractions and some properties of the confluent hypergeometric function, authors obtained on their own results.

Explicit expressions have been obtained for the time-dependent probabilities of the underlying queuing model. Also, time-dependent mean and variance of customers in the system are deduced.

The system authors are dealing with is somewhat complicated, there are some performance measures that cannot be achieved, but some of them have been obtained, such as the expectation and variance of the number of customers in the system.

Based on the obtained results, some numerical examples are some numerical examples are presented to illustrate the effect of various parameters on the behavior of the proposed system.

Authors’ studied transient analysis of a single server queue with system disaster and impatient customer system is suitable for behavior interpretation of many systems in our lives, such as telecommunication networks, inventory systems and impatient telephone switchboard customers, manufacturing system and service system.

To the best of the author’s/authors’ knowledge and according to the literature survey, in a multi-phase random environment, no previous published article is presented for transient analysis of a single server queue with system disaster and impatient customer behavior in a random environment.

This paper describes the consequences of the integration of environmental information within enterprise resource planning (ERP) systems. The state‐of‐the art of dedicated environmental information systems is briefly discussed. Essentials and peculiarities of environmental information are highlighted. The role of environmental management systems and their relationship with other dedicated management systems is positioned within this field. The need for information following from this is compared with the information available in current ERP systems. The common features of both information systems are discussed and the importance of physical relationships within them is demonstrated. A physical approach is argued as the very base of future extended ERP systems. An outline of the special character of physical information is presented for this purpose. Subsequently, some restrictions connected to the current approach in ERP are analysed. This results in a number of recommendations. The most crucial aspects are the integration of the process and discrete manufacturing orientation by applying a multiple‐input multiple‐output approach to all processes, and a similar consideration of co‐products, by‐products, wastes and emissions.

After a vigorous debate in the late 1970s, the sociology of emotion put aside most discussion of whether or not the physiological arousal associated with emotion labels is differentiated. Since this early period, scholars have made great progress on two fronts. First, theories about the interrelationship of identity, action and emotion have specified a family of new concepts related to emotion. Second, a large corpus of research on the physiological correlates of emotional experience emerged. In this chapter, we review the well-developed control theories of identity and emotion, and focus on the key concepts that might relate to different physiological states. We then review the general classes of physiological measures, discussing their reliability, intrusiveness and other features that might determine their usefulness for tracking responses to social interaction. We then offer a highly provisional mapping of physiological measures onto the concepts that they might potentially measure, given past research about how these physiological processes relate to environmental stimuli. While any linkage between concepts and measures must be speculative at this point, we hope that this review will serve as a stimulus to theoretically guided research that begins to assess the validity of these new measures for sociological use.

This paper aims to study the main requirements of traceability and examine how the technology of radio frequency identification (RFID) technology can address these requirements. It further seeks to outline both an information data model and a system architecture that will make traceability feasible and easily deployable across a supply chain.

The design research approach is followed, associating traceability requirements to a proposed system design.

The technological approach used has great implications in relation to the cost associated with a traceability system and the ease of its deployment.

Validation of the proposed information data model and system architecture is required through practical deployment in different settings.

The paper provides practitioners with insight on how RFID technology can meet traceability requirements and what technological approach is more appropriate.

Food quality has become an important issue in the last decade. However, achieving end‐to‐end traceability across the supply chain is currently quite a challenge from a technical, a co‐ordination and a cost perspective. The paper contributes by suggesting a specific technological approach, exploiting the new possibilities provided by RFID technology, to address these issues.

According to United Nations reports, the worldwide population is expected to reach around 9.6 billion by 2050. This forecasting emphasizes the role of phosphate-based fertilizers for developing sustainable agriculture and ensures the demand all over the planet. From this perspective, phosphate companies are racing to improve their industrial performance and guarantee the quality, reliability and integrity of information efficiently. The purpose of this paper is to propose a traceability system framework that ensures product quality tracing and real-time operations monitoring for open-pit mines.

The authors develop a hybrid approach that integrates Business Process Model and Notation techniques with System Modeling Language to formalize several use cases and scenarios to model quality traceability processes related to open-pit mines. This framework also embeds an optimization module based on mathematical modeling approaches to optimize stockpiles’ movement and respect the distinction between different qualities.

This paper explains a successful implementation of a quality traceability tool for an African mining company. The research team was able to understand and scale down the problem faced by the managers. Further, the study is focused on improving quality tracing over time and automatizing the current compliance processes related to the mine extraction activities. The proposed tool is proved highly effective in reducing the time of tracing quality claims by 46% compared with the manual procedure. Second, the implementation of this tool reduced fuel costs by 34% and CO₂ emissions by 10%.

The originality of the contributions lies in four aspects: (1) adapting quality traceability concept for the mining industry; (2) assessing the current trends of traceability systems considering the mining industry context; (3) hybridizing business processes re-engineering, quality system and optimization modeling; and (4) using a real case study of a phosphate company to evaluate the framework.

New technology for equipping returnable transport items (RTI) with unique identification (e.g. RFID) give food industry companies new opportunities for improving business processes. The efficient exploitation poses new demands on the information technology systems in general and on the underlying information models in particular. This paper aims to introduce a generic information model where functionality for handling RTIs with unique identification is included.

Functional requirements are analysed based on process descriptions and use case examples from a real production environment. Detailed information modelling was then done in several iterations using entity‐relationship diagrams. Validation of the model was done based on use cases typical for the food industry.

The model described is developed within the broad scope of looking at opportunities for using wireless technology to improve business processes and traceability. This includes RFID, RF based sensors, sensor networks and real time location system (RTLS). It is vital that these large amounts of data are linked to identifiable entities for later retrieval and analysis. Unique identification of RTIs can be utilised to ensure that sensor data can be linked both to the RTI and to the content of the RTI. The links between the RTI and the content of the RTI are a basis for improving traceability.

Based on the information model, the next step is to develop a detailed specification for the implementation of the model. The results from the implementation will be used for further evaluation of the model, and might lead to improvements and changes in the model.

Enabling technologies like RFID often lead to changes in existing processes and systems. This work is a contribution to developing more stable and application‐independent information models in food processing companies.

The paper shows that leveraging unique identification of returnable transport items to provide a finer meshed granularity and increased operational visibility of traceable units will not only improve traceability but will also give a more precise basis for process improvements and product differentiation in a food business.