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Information distortion results in demand variance amplification in upstream supply chain members, known as the bullwhip effect, and inventory inaccuracy in the inventory records. As inventory inaccuracy contributes to the bullwhip effect, the purpose of this paper is to investigate the impact of inventory inaccuracy on the bullwhip effect in radio-frequency identification (RFID)-enabled supply chains and, in this context, to evaluate supply chain performance because of the RFID technology.

A simulation modeling method based on hierarchical timed colored petri nets is presented to model inventory management in multi-stage serial supply chains subject to inventory inaccuracy for various traditional and information sharing configurations in the presence and absence of RFID. Validation of the method is done by comparing results obtained for the bullwhip effect with published literature results.

The bullwhip effect is increased in RFID-enabled multi-stage serial supply chains subject to inventory inaccuracy. The information sharing supply chain is more sensitive to the impact of inventory inaccuracy.

Information sharing involves collaboration in market demand and inventory inaccuracy, whereas RFID is implemented by all echelons. To obtain the full benefits of RFID adoption and collaboration, different collaboration strategies should be investigated.

Colored petri nets simulation modeling of the inventory management process is a novel approach to study supply chain dynamics. In the context of inventory errors, information on RFID impact on the dynamic behavior of multi-stage serial supply chains is provided.

This paper aims to highlight how the Greek State tried to improve public procurement processes during the outbreak of the COVID-19 pandemic and propose measures that could be implemented in a future force majeure event where the global supply chain will not operate efficiently.

The authors investigated the existing scientific literature. Afterwards, they designed a questionnaire to gather primary data and add value to the current literature.

The research paper results highlight that in future force majeure events, the best way for effective public procurement is to implement central procurement, framework agreements with more than one economic operator and use the newly established Public Buyers Community in the European Union. The questionnaire interviews also highlighted that payment terms could be adjusted to the needs of the suppliers to improve their financial flows, which are disrupted in case of a force majeure event.

One of the limitations of the present case study is that apart from the Greek procurement Laws and policy documents related to the COVID-19 pandemic, only scientific articles written in English were used by the authors in the literature review section.

The findings could benefit public contracting authorities and central procurement bodies when designing their processes in case of a force majeure event like the COVID-19 pandemic. As the public contracting authorities and the procurement officers are more informed about potential ways to improve the public procurement processes, they might apply measures that could facilitate the flexibility of the procurement processes.

The research paper can provide lessons learned to policy makers, when they have to cope with similar challenges in the future.

To the best of the authors' knowledge, no previous scientific article has examined how the Greek State has tried to respond to the supply shortages created during the pandemic. Furthermore, this is the first study in Greece that gathers primary data from public procurement practitioners.

The purpose of this paper is to describe in-depth a community-based social partnership, emerged in response to the financial crisis in Greece, with members from the private, public and civic sectors, using a case example of a grass-root self-organised national network.

Formal and informal interviews as well as written communication with members of the partnership mainly formed the basis for the analysis. Topics covered formation and implementation activities, outcomes, relationship issues, such as trust and links to social capital.

A shared community risk and a national media campaign to increase public awareness of the issue were catalysts for individuals’ sensitisation and participation in the partnership. The shared risk was the loss of community’s social cohesion, through poverty aggravated by the financial crisis. Self-organisation led to innovative relationships, whereas trust, collective action and collaboration show social capital attributes in the partnership enabling resilience development.

The research contributes in the fields of community-based partnerships and engagement in building community and crisis resilience. The findings are based on a case example. More evidence is needed in order to derive generalised statements about the partnership’s contribution to crisis resilience.

The partnership has shown impact on community engagement, health and well-being.

This paper presents a partnership type for building community and crisis resilience with the case example of one such partnership in Greece, formed to alleviate community distress caused by the crisis.

If an autonomous vehicle is working in an image‐based system which needs real‐time answers and whose response is critical, it will be very important to reduce computation times and, as we know, this could be performed by increasing the system parallelism. Since morphological filtering is the origin of several applications in computer vision, in this paper we are going to describe some new features to implement morphological operations by using digital signal processors. After that, an application to path planning is proposed. The standard shortest path planning problem determines a collision‐free path of shortest distance between two distinct locations in an environment scattered with obstacles. Consequently, a path planning algorithm which uses morphological operations and a DSP to process images is then described.