In this paper, we propose a method for supporting decision makers in the domain of supply chain management. Our objective is the global optimization instead of optimizing independent subsystems of the supply chain. The method architecture is based on combination of the simulation and optimization techniques which includes a multi-objectives optimization module and a simulation module. The optim...

Green manufacturing (especially the right production scale) and optimization of logistics transportation to ensure economic benefits) have become challenging issues. This paper focuses on planning scheduling dynamic supply chain via H∞ control scheme. considers scale resource complex under impact COVID-19 pandemic.Firstly, information green is collected, a new mathematical model including multi...

This paper describes methodology, toolset and case studies of adaptive planning for supply chain networks based on the holistic approach, multi-agent technology and ontological modeling. The set of tools for the development of adaptive planners can be used for a wide range of applications. Case studies are included describing applications inr adaptive airport logistics, factory planning, laundr...

In the recent decades, rapid population growth has led to the significant increase in food demand. Food supply chain has always been one of the most important and challenging management issues. Product with short age, especially foodstuffs, is the most problematic challenges for supply chain management. These challenges are mainly due to the diversity in the number of these goods, the special n...

We present a unified multi-agent technology for decision making support in production planning and scheduling, manufacturing simulation in and supply chain management. The technology has been tested on several industrial cases and is used in a daily production planning processes of one important automobile industry supplier in the Czech Republic.

Supply chain network design attempts to define the best supply chain configuration that enables an organization to maximize its long-term economic performance. Typically, the decisions cover three planning levels (Anthony, 1965; Bertrand, 2003; Fleischmann et al., 2002; Manzini et al., 2008): • Long-term planning (three to five years): Decisions of this level are called strategic decisions and ...

A critical issue in supply chain management is coordinating the decisions made by decisionmakers at different stages, for example a supplier and one or several manufacturers. We model this issue by assuming that both the supplier and each manufacturer have an ideal schedule, determined by their own costs and constraints. An interchange cost is incurred by the supplier or a manufacturer whenever...

in today's globalization, an effective integration of production and distribution plans into a unified framework is crucial for attaining competitive advantage. this paper addresses an integrated multi-product and multi-time period production/distribution planning problem for a two-echelon supply chain subject to the real-world variables and constraints. it is assumed that all transportations a...

inventory control is one of the most important issues in supply chain management. in this paper, a three-echelon production, distribution, inventory system composed of one producer, a set of wholesalers and retailers is considered. costumers' demands can be approximated by a normal distribution and the inventory policy is a kind of continuous review (r, q). in this paper, a model based on ...