This paper studies the multi-stage supply chain system (MSSCM) controlled by the kanban mechanism. In the kanban system, decision making is based on the number of kanbans as well as batch sizes. A kanban mechanism is employed to assist in linking different production processes in a supply chain system in order to implement the scope of just-in-time (JIT) philosophy. For a MSSCM, a mixed-integer...

Sixth-Generation (6G)-based Internet of Everything applications (e.g. autonomous driving cars) have witnessed a remarkable interest. Autonomous cars using federated learning (FL) has the ability to enable different smart services. Although FL implements distributed machine model training without requirement move data devices centralized server, it its own implementation challenges such as robus...

The cluster heads (CHs) will face the contradiction between lack of available energy and demand high consumption in harvesting-supported device-to-device multicast communications (EH-D2MD). Wireless power transfer (WPT) technology is a possible way to address above contradiction. members (D2D) can part their CH by WPT jointly undertake contents unloading. As result, transmission robustness be i...

This paper will attempt to show that one of the trends in the area of process synthesis is its gradual evolution towards the mathematical programming approach. This is in part due to the fundamental understanding that has been gained on the nature of the synthesis problems over the last twenty years. However, another major part has to do with the development of new and more powerful mathematica...

Cognitive radios emerged as a solution to spectrum scarcity problem. The integration of cognitive radios and Wireless Sensor Networks (WSN) enables a new paradigm of communication in which, sensor nodes can avoid heavily crowded transmission bands by tuning their transmission parameters to less crowded bands. In this paper we consider the problem of Spectrum Assignment (SA) for Cognitive Radio ...

Abstract Different versions of polyhedral outer approximation are used by many algorithms for mixed-integer nonlinear programming (MINLP). While it has been demonstrated that such methods work well convex MINLP, extending them to solve nonconvex problems traditionally challenging. The Supporting Hyperplane Optimization Toolkit (SHOT) is a solver based on approximations the feasible set MINLP pr...

Abstract In this paper, we propose two novel matheuristic algorithms, i.e., heuristics based on mathematical formulations of the problem, in order to find a good feasible solution satellite constellation design problem for discontinuous coverage with constrained revisit time. This consists searching able periodically observe several targets at Earth surface smallest number satellites achievable...

bilevel linear programming  is a decision making problem with a two-level decentralized organization. the textquotedblleft leadertextquotedblright~ is in the upper level and the textquotedblleft followertextquotedblright, in the lower. making a decision at one level affects that at the other one. in this paper, bilevel linear programming  with inexact parameters has been studied and a method is...

In the context of convex mixed integer nonlinear programming (MINLP), we investigate how the outer approximation method and the generalized Benders decomposition method are affected when the respective nonlinear programming (NLP) subproblems are solved inexactly. We show that the cuts in the corresponding master problems can be changed to incorporate the inexact residuals, still rendering equiv...

Developing an economic net-zero energy infrastructure for the manufacturing industry can play a critical role to achieve goal of affordable, reliable, and sustainable clean paradigm next generation. However, it is quite challenging develop such due uncertain demand system, intermittent electricity generation from renewable sources, time use (TOU) pricing electricity, integrated operational plan...