The multifacility center problems with random demand weights

Networks ◽  
2021 ◽  
Author(s):  
Oded Berman ◽  
Jiamin Wang
Keyword(s):  
Random Demand

Remanufacturing and pricing decisions with random yield and random demand

2015 ◽  
Vol 54 ◽  
pp. 195-203 ◽  
Author(s):  
Xiang Li ◽  
Yongjian Li ◽  
Xiaoqiang Cai
Keyword(s):  
Random Yield ◽  
Random Demand ◽  
Pricing Decisions

scholarly journals Dynamic Analysis and Optimization of a Production Control System under Supply and Demand Uncertainties

2016 ◽  
Vol 2016 ◽  
pp. 1-17 ◽  
Author(s):  
Qiankai Qing ◽  
Wen Shi ◽  
Hai Li ◽  
Yuan Shao
Keyword(s):  
Control System ◽  
Performance Indicators ◽  
Demand Uncertainty ◽  
Production Control ◽  
Optimal Parameter ◽  
Dynamic Performance ◽  
Random Demand ◽  
Start Time ◽  
Supply Disruption ◽  
Production Control System

This study investigates the dynamic performance and optimization of a typical discrete production control system under supply disruption and demand uncertainty. Two different types of uncertain demands, disrupted demand with a step change in demand and random demand, are considered. We find that, under demand disruption, the system’s dynamic performance indicators (the peak values of the order rate, production completion rate, and inventory) increase with the duration of supply disruption; however, they increase and decrease sequentially with the supply disruption start time. This change tendency differs from the finding that each kind of peak is independent of the supply disruption start time under no demand disruption. We also find that, under random demand, the dynamic performance indicators (Bullwhip and variance amplification of inventory relative to demand) increase with the disruption duration, but they have a decreasing tendency as demand variance increases. In order to design an adaptive system, we propose a genetic algorithm that minimizes the respective objective function on the system’s dynamic performance indicators via choosing appropriate system parameters. It is shown that the optimal parameter choices relate closely to the supply disruption start time and duration under disrupted demand and to the supply disruption duration under random demand.

scholarly journals A multi-period risk sharing supply chain contract under consideration of price and demand uncertainties

2021 ◽  
Author(s):  
Isil Tari
Keyword(s):  
Exchange Rate ◽  
Regime Switching ◽  
Risk Sharing ◽  
Market Price ◽  
Sensitivity Analyses ◽  
Programming Approach ◽  
Random Demand ◽  
Supply Contract ◽  
Dynamic Programming Approach ◽  
Markovian Regime Switching

Exchange rate is extremely volatile and displays a Markovian regime switching property. This report proposes a multi-period procurement problem with a flexible quantity risk-sharing supply contract that may provide a prevention against exchange rate (FX) fluctuations for international traders. The buyer assumed to be encountered with a random price modelled by a regime-switching geometric Brownian motion and also random demand. The proposed risk sharing supply contract model helps to compensate supplier for the depreciating market price and also helps buyer when purchase price increases. According to the author’s knowledge, none of the studies in the literature considers a risk-sharing supply contract with random demand and random price while modelling the exchange rates by regime switching approach. Multi-period lattice model is developed for valuation of risk-sharing supply contract. The problem is solved with using dynamic programming approach. A numerical example and sensitivity analyses are presented to illustrate the proposed model.

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