Disasters inevitably trigger far-reaching consequences affecting all living things and the environment.  Therefore, top managers and decision-makers in disaster management seek comprehensive approaches to evaluate facilities and network preparedness in dealing with the response phase of predicted disaster scenarios in terms of number of casualties, costs, and unmet demands.  In this regard, pre...

Additive manufacturing (AM), or nonstandard 3D printing, disseminates in more and more production processes. This changes not only the production processes, e.g. subtractive production technologies are replaced, but will in all likelihood impact the configuration of supply networks. Due to a more efficient use of raw materials, transportation relations may change and production sites may be rel...

The food supply chain is a very demanding and dynamic sector of economy. The goods that flow through the supply chain are exposed to damage. The authors have developed a model which optimizes the cost of transport in the network. It is based on graph theory, and, in particular, the Generalized Flow Problem has been used. The main contribution of this paper is the implementation of this model in...

State estimation is used in power systems to estimate grid variables based on meter measurements. Unfortunately, power grids are vulnerable to cyber-attacks. Reducing cyber-attacks against state estimation is necessary to ensure power system safe and reliable operation. False data injection (FDI) is a type of cyber-attack that tampers with measurements. This paper proposes network reconfigurati...

The design of a supply chain network provides the main structure for supply chain operations, since the network is a key element in the competitiveness and investments of an extended production system. The configuration of the network is essential for business to pursue a competitive advantage. We adopt a methodology based on three layers. In the first layer, the performance of the entities can...

Supply chain network design in perishable product has become a challenging task due to its short life time, spoilage of product in degradation nature and stochastic market demand. This paper focused on designing and optimizing model for perishable product in stochastic demand, which comprises multiple levels from producer, local collector, wholesaler and retailers. The ultimate goal is to optim...

In this paper, a reverse supply chain network is investigated for a decision making. This decision is surrounded by complex flows of returned products, due to the increasing quantity, the type of returned products and the variety of recovery option products (reuse, recycling, and refurbishment). The most important problem in the reverse logistic network (RLN) is to orient returned products to t...

Today, information networks play an important role in supply chain management. Therefore, in this article, clustering-based routing protocols, which are one of the most important ways to reduce energy consumption in wireless sensor networks, are used to optimize the supply chain informational cloud network. Accordingly, first, a clustering protocol is presented using self-organizing map neu...

This paper proposes the problem of supply restoration in faulty power distribution systems as a benchmark for planning under uncertainty. This benchmark, which is derived from a significant realworld case, is both simple to understand and easily scalable. The goal is to reconfigure the distribution network to resupply a maximum of consumers affected by the faults. Due to sensor and actuator unc...

Wireless sensor networks are event-based systems based on the collaboration of several micro sensor nodes. Due to the limited supply of power at sensor nodes, power efficient configuration of wireless sensor network has become a major design goal to improve the lifetime of the network. The cluster-based wireless sensor network can enhance the whole network lifetime by aggregating the collected ...