Planning Inland Container Shipping: A Stochastic Assignment Problem

2016 ◽  
pp. 179-192 ◽  
Author(s):  
Kees Kooiman ◽  
Frank Phillipson ◽  
Alex Sangers
Keyword(s):  
Assignment Problem ◽  
Container Shipping ◽  
Stochastic Assignment

A stochastic assignment problem

2014 ◽  
Vol 62 (1) ◽  
pp. 23-31 ◽  
Author(s):  
David T. Wu ◽  
Sheldon M. Ross
Keyword(s):  
Assignment Problem ◽  
Stochastic Assignment

A SEQUENTIAL STOCHASTIC ASSIGNMENT PROBLEM

1970 ◽  
Author(s):  
Gerald J. Lieberman ◽  
Sheldon M. Ross ◽  
Cyrus Derman
Keyword(s):  
Assignment Problem ◽  
Stochastic Assignment ◽  
Sequential Stochastic Assignment

STOCHASTIC SEQUENTIAL ASSIGNMENT PROBLEM WITH ARRIVALS

2011 ◽  
Vol 25 (4) ◽  
pp. 477-485 ◽  
Author(s):  
Rhonda Righter
Keyword(s):  
Optimal Policy ◽  
Assignment Problem ◽  
Sequential Assignment ◽  
Different Types ◽  
Job Values ◽  
Stochastic Assignment ◽  
Sequential Stochastic Assignment

We extend the classic sequential stochastic assignment problem to include arrivals of workers. When workers are all of the same type, we show that the socially optimal policy is the same as the individually optimal policy for which workers are given priority according to last come–first served. This result also holds under several variants in the model assumptions. When workers have different types, we show that the socially optimal policy is determined by thresholds such that more valuable jobs are given to more valuable workers, but now the individually optimal policy is no longer socially optimal. We also show that the overall value increases when worker or job values become more variable.

A Markov-Decision-Chain Approach to a Stochastic Assignment Problem

1974 ◽  
Vol 22 (1) ◽  
pp. 61-64 ◽  
Author(s):  
S. Christian Albright
Keyword(s):  
Assignment Problem ◽  
Markov Decision ◽  
Stochastic Assignment

Extensions of the sequential stochastic assignment problem

2015 ◽  
Vol 82 (3) ◽  
pp. 317-340 ◽  
Author(s):  
Arash Khatibi ◽  
Golshid Baharian ◽  
Banafsheh Behzad ◽  
Sheldon H. Jacobson
Keyword(s):  
Assignment Problem ◽  
Stochastic Assignment ◽  
Sequential Stochastic Assignment

THE SEQUENTIAL STOCHASTIC ASSIGNMENT PROBLEM WITH POSTPONEMENT OPTIONS

2012 ◽  
Vol 27 (1) ◽  
pp. 25-51 ◽  
Author(s):  
Tianke Feng ◽  
Joseph C. Hartman
Keyword(s):  
Stochastic Process ◽  
Decision Maker ◽  
Assignment Problem ◽  
Lower Risk ◽  
Care Management ◽  
Optimal Assignment ◽  
Threshold Policies ◽  
Stochastic Assignment ◽  
Sequential Stochastic Assignment ◽  
Heterogeneous Resources

The sequential and stochastic assignment problem (SSAP) has wide applications in logistics, finance, and health care management, and has been well studied in the literature. It assumes that jobs with unknown values arrive according to a stochastic process. Upon arrival, a job's value is made known and the decision-maker must immediately decide whether to accept or reject the job and, if accepted, to assign it to a resource for a reward. The objective is to maximize the expected reward from the available resources. The optimal assignment policy has a threshold structure and can be computed in polynomial time. In reality, there exist situations in which the decision-maker may postpone the accept/reject decision. In this research, we study the value of postponing decisions by allowing a decision-maker to hold a number of jobs which may be accepted or rejected later. While maintaining this queue of arrivals significantly complicates the analysis, optimal threshold policies exist under mild assumptions when the resources are homogeneous. We illustrate the benefits of delaying decisions through higher profits and lower risk in both cases of homogeneous and heterogeneous resources.

scholarly journals Generalized Sequential Stochastic Assignment Problem

2018 ◽  
Vol 8 (4) ◽  
pp. 293-306
Author(s):  
Arash Khatibi ◽  
Sheldon H. Jacobson
Keyword(s):  
Assignment Problem ◽  
Stochastic Assignment ◽  
Sequential Stochastic Assignment
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