Poor and Sick Newsboy Model: A Robust Generalisation with Misspecified Demand

2021 ◽  
Author(s):  
Sujay Mukhoti ◽  
Abhirup Banerjee
Keyword(s):  
2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Goran Lazovic ◽  
Vesna Sesum-Cavic ◽  
Slobodanka Mitrovic ◽  
Slobodan Radojevic ◽  
Nebojsa Dedovic ◽  
...  

Nowadays, a wide class of problems can be solved by using the classical newsboy model. However, in problems where uncertainty of events and randomness are omnipresent, there is a necessity to adapt the existing solutions and/or find new extensions that will properly answer all requirements. This paper considers a multistage assembly system where interrelated assembly operations with independent stochastic operation times should be planned in an optimal way. Delivery of items in a requested time implies that either delay costs or holding costs appear. The goal is to find optimal safety times. We propose an approximate technique based on successive application of the solution of simpler one-stage problem. The generalized mathematical model suggested is built up on the relaxed hypothesis and can be used in multistage assembly networks. The existence and uniqueness of the solution are proven. The preliminary tests are performed and our approximate technique is compared to exact results.


2009 ◽  
Vol 42 (4) ◽  
pp. 834-839
Author(s):  
Mohamed-Aly Louly ◽  
Alexandre Dolgui
Keyword(s):  

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yue Zhao ◽  
Yang Shen ◽  
Jiaqi Yan

Reasonable communication and cooperation between enterprises are helpful for the efficient operation of a supply chain. To explore the maximum utility of an entire supply chain, we propose a supplier-manufacturer-seller supply-chain game decision-making model. We use the model as the fitness function of a genetic algorithm that calculates the optimal solution and optimizes the total utility parameters. We analyze the theoretical and practical properties of the supply-chain optimization process and implement it in MATLAB, which provides quantitative support and useful references for making business decisions and optimally managing a supply chain.


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