Prototype implementation of dynavote e-voting protocol

Voting is regarded as one of the most effective methods for individuals to express their opinions on a given topic. Electronic voting (eVoting) refers to the use of computers or computerised voting equipments to cast ballots in an election. eVoting performed over Internet can be universally accepted in the upcoming years due to the fact that Internet plays key roles in people's lives. The DynaVote eVoting protocol claims that it is practical over a network since it does not use complex algorithms and has no physical assumptions such as untappable channels, whereas fulfilling core voting requirements such as privacy, accuracy, uncoercibility and individual verifiability. Software development requires considerable amount of time and money. Therefore, in order to utilise all resources, the prototype implementation gains more importance as it gives quick feedbacks about the practicality of the system. This paper presents a prototype implementation of DynaVote eVoting protocol over the Internet. Since DynaVote relies on PVID scheme, which is an unlinkable pseudo identity mechanism, the prototype includes implementation of PVID scheme component as well. The main outcome of this study is to prove that DynaVote protocol over Internet is practical and applicable in real life and to illustrate that PVID scheme provides unlinkability. This study also contributes some improvements in DynaVote e-voting protocol. Furthermore, this paper analyses how the prototype fulfils some electronic voting system requirements such as efficiency, transparency and mobility

Integrated Procurement–Disassembly Problem

Part 1: Knowledge-Based SustainabilityInternational audienceThis paper proposes a novel problem called integrated pro- curement–disassembly problem. The problem combines vehicle routing problem and disassembly line balancing problem for collecting and dis- assembling End-of-Life (EOL) products, respectively. The integration of those problems is motivated by the necessity to reduce total cost in reverse supply chain context. After collecting the EOL products from suppliers, the disassembly process begins to release the demanded parts. The objective function aims to minimize the total cost consisting product collection and opening disassembly workstations. The constraints consider vehicle routing problem to supply the disassembly line with EOL products, disassembly line and balancing inventory coordinating those problems. The decision variables include trips sequences associated to collect the products, disassembly task assignment into workstations, and the inventory level