In this research, a bi-objective model is developed to deal with a supply chain including multiple suppliers, multiple manufacturers, and multiple customers, addressing a multi-site, multi-period, multi-product aggregate production planning (APP) problem. This bi-objective model aims to minimize the total cost of supply chain including inventory costs, manufacturing costs, work force costs, hir...

This paper considers a multi-period, multi-product inventory-routing problem in a two-level supply chain consisting of a distributor and a set of customers. This problem is modeled with the aim of minimizing bi-objectives, namely the total system cost (including startup, distribution and maintenance costs) and risk-based transportation. Products are delivered to customers by some heterogeneous ...

In each time period, the demand of passengers for each route are finite and airlines compete for earning more profits. The complex competition among airlines causes problems, such as complicating flight planning and increasing empty seats for some routes. These problems increase air pollution and fuel consumption. To solve these problems, this research studies the cooperation of the airlines wi...

Describing planning domains using a common formalism promotes greater reuse of research, allowing a fairer comparison between different approaches. Common planning formalisms for single-agent planning are already well established (e.g., PDDL, STRIPS, and HTN), but currently there is a shortage of multi-agent planning formalisms with clear semantics. In this paper, we propose a multi-agent exten...

The ability to leverage benefits and establish a legacy from hosting mega events continues to be of significant interest from both academic and policy perspectives. However, relatively few studies have focused on leverage and legacy by cities and regions that are not hosting mega events. This research adds to the evidence base by examining the effectiveness of a sub-regional multi-agency strate...

With today's rapidly changing supply chain environment, it is essential to include uncertainty in an explicit manner planning models. Therefore, we propose a stochastic model for tactical of the Crude Oil Supply Chain (COSC) under cost and demand uncertainties. The mathematical considers multi-echelon with multi-products multi-period horizon. It integrates inventory backorder penalties. A Sampl...