This paper studies a queueing system with a Markov arrival process with marked arrivals and PH-distribution service times for each type of customer. Customers (regardless of their types) are served on a mixed first-come-first-served (FCFS) and last-come-first-served (LCFS) nonpreemptive basis. That is, when the queue length is N (a positive integer) or less, customers are served on an FCFS basi...

In this study, a new nonlinear mathematical programming model of mixed integer was presented to formulate the problem designing sustainable closed loop supply chain, in which three aspects sustainability, i.e., social effect such as job creation, customer satisfaction, and distributors, environmental effects reducing air pollution, economic chain costs, increasing reliability, quality returned ...

The automotive deployment problem is a real-world constrained multiobjective assignment problem in which software components must be allocated to processing units distributed around a car’s chassis. Prior work has shown that evolutionary algorithms such as NSGA-II can produce good quality solutions to this problem. This paper presents a population-based ant colony optimisation (PACO) approach t...

Portfolio optimization is a serious challenge for financial engineering and has pulled down special attention among investors. It has two objectives: to maximize the reward that is calculated by expected return and to minimize the risk. Variance has been considered as a risk measure. There are many constraints in the world that ultimately lead to a non–convex search space such as cardinality co...

In the practical control of nonlinear valve systems, PID control, as a model-free method, continues to play crucial role thanks its simple structure and performance-oriented tuning process. To improve performance, advanced gain-scheduling methods are used schedule gains based on operating conditions and/or tracking error. However, determining scheduled gain is major challenge, need be determine...

For the multiple automated guided vehicle (multi-AGV) routing problems in warehousing link of logistics, where optimization objective is to minimize both number AGVs used and maximum pickup time simultaneously, a nondominant sorting differential evolution (NSDE) algorithm proposed. In encoding decoding stages, point area divided. are allocated each region according proposed rule based on avoidi...

Recently, Science defined transportation as the most potent component of logistics. In addition, it has an interdependent relationship with business Also, AI is intervened in logistics to solve issues. used for optimizing and obtaining possible solutions critical complex problems. This paper aims optimize costs profit get satisfaction individuals organizations using techniques. A proposed metho...

In this paper, developed a new multi-product, multi-period, and multi-level closed-loop green supply chain planning model under uncertain conditions. The formulated model consists of five objective functions, which minimize the cost of the supply chain, minimize the CO2 emission of transportation vehicles, maximize the reliability of manufacturing and distribution centers, maximize t...

Among the various aspects of SCM, emphasis has been placed on reverse logistics: closing the loop of a supply chain by integrating waste materials into logistic management decisions. Logistics network design is commonly recognized as a strategic supply chain issue of prime importance. While consumers traditionally dispose of products at the end of their life cycle, product take-back legislation...