Scenario Based Global Supply Chain Planning Process Considering Demand Uncertainty

Managing demand uncertainty in supply chain planning

In this work, we provide an overview of our previously published works on incorporating demand uncertainty in midterm planning of multisite supply chains. A stochastic programming based approach is described to model the planning process as it reacts to demand realizations unfolding over time. In the proposed bilevel-framework, the manufacturing decisions are modeled as ‘here-and-now’ decisions...

Integrated Inspection Planning and Preventive Maintenance for a Markov Deteriorating System Under Scenario-based Demand Uncertainty

In this paper, a single-product, single-machine system under Markovian deterioration of machine condition and demand uncertainty is studied.  The objective is to find the optimal intervals for inspection and preventive maintenance activities in a condition-based maintenance planning with discrete monitoring framework. At first, a stochastic dynamic programming model whose state variable is the ...

Scenario Planning in Supply Chain Risk Management

This paper studies the risks and uncertainties surrounding global food supply chains and finds that “scenario planning” which is a popular tool used in other sectors for risk identification, is less widely used to indentify risks within global food supply chains. Presented in this paper is a review of available literature and a discussion with regards to the feasibility of using scenario planni...

Supply chain master planning considering material-financial flows

In this study, tactical decisions considering the material and financial flows in a supply chain have been made. To achieve these aims and some effective solutions, a multi-objective mathematical model proposed for an integrated supply chain master planning problem. The multi-product, multi-period and capacitated supply chain network has three objective functions. Two first objective functions ...

Supply chain planning models with general backorder penalties, supply and demand uncertainty, and quantity discounts