Supply chain management refers to efficient operation paradigms related to procurement of raw material, transforming them into semi-finished and finished products and distributing them to the end customer, thereby transcending multiple business units. Poor supply chain management (more often than not) predominantly results in excessive amounts of inventory, the largest asset for many firms. Inv...

The scenario of isolated companies competing with each other has evolved to a holistic vision, where collaborate and work together maintain supply chain competitiveness. Integrated planning, although challenging, is necessary foster competitive advantage ensure companies' survival in difficult times. Concepts technologies introduced by the Fourth Industrial Revolution support such integrated pl...

Dmitry A. Ivanov State research center of Russia, Central Research Institute of Robotics and Technical Cybernetics 194064 Saint Petersburg, RUSSIA [email protected] Alexander V. Arkhipov State research center of Russia, Central Research Institute of Robotics and Technical Cybernetics 194064 Saint Petersburg, RUSSIA [email protected] Boris N. Sokolov Russian academy of science, Saint Pe...

Amixed integer stochastic programming model is established to support strategic planning of bioenergy supply chain systems and optimal feedstock resource allocation in an uncertain decision environment. The two-stage stochastic programming model, together with a Lagrange relaxation based decomposition solution algorithm, was implemented in a realworld case study in California to explore the pot...

Integrated production-distribution planning (PDP) is one of the most important approaches in supply chain networks. We consider a supply chain network (SCN) to consist of multi suppliers, plants, distribution centers (DCs), and retailers. A bi-objective mixed integer linear programming model for integrating production-distribution designed here aim to simultaneously minimize total net costs in ...

Decentralized supply chain management is found to be significantly relevant in today’s competitive markets. Production and distribution planning is posed as an important optimization problem in supply chain networks. Here, we propose a multi-period decentralized supply chain network model with uncertainty. The imprecision related to uncertain parameters like demand and price of the final produc...

Planning systems for supply chain management can be designed in different ways in order to achieve the multiple objectives of supply chain management. Two of these objectives are responsiveness and efficiency of the system. In this paper, a System Dynamics simulation model is used to assess the performance of planning approaches for supply chains in the high-tech electronics industry on the dim...