What is the optimal solution for the Traveling Doctor Problem?

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SUMMARY

The Traveling Doctor Problem (TDP) is a complex optimization challenge that involves scheduling doctors across multiple clinics while considering patient quotas, travel times, and salary structures. Each clinic has specific patient requirements, and doctors can work at any clinic, incurring travel costs that affect patient care. The objective is to minimize organizational costs while ensuring that all patient quotas are met. This problem can be approached as a linear optimization issue with multiple constraints, utilizing established algorithms for effective solutions.

PREREQUISITES
  • Understanding of linear optimization techniques
  • Familiarity with the Traveling Salesman Problem (TSP) and its variations
  • Knowledge of scheduling algorithms and constraints management
  • Basic concepts of operational research and cost minimization strategies
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  • Research linear programming methods for optimization problems
  • Explore algorithms specifically designed for the Traveling Salesman Problem
  • Study scheduling algorithms that accommodate multiple constraints
  • Investigate operational research tools like LINGO or CPLEX for practical applications
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This discussion is beneficial for operations researchers, logistics planners, and healthcare administrators focused on optimizing resource allocation and scheduling within medical facilities.

firkser
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his problem is related in some ways to a TSP, or a Quota-TSP, but has a lot more information that must be taken into account:

There are a number of clinics, all run by the same organisation, employing a number of doctors, who are free to work at any of the clinics. Each clinic is open 6 days a week, 10 hours a day. There need not be a doctor at each clinic during every, but each week, a certain number of patients have to be seen at each clinic (a number which is different for each of the clinics). each doctor makes a salary based on how many hours they work per week, regardless of which clinic they are at. each doctor is able to see a certain number of patients per hour, again, not necessarily the same for each doctor.

Furthermore, the problem takes into account travel time for each of the doctors. The doctors are reimbursed for their travel time to and from work each morning, from their home to the clinic, then from the clinic back home. To complicate things, doctors may travel between clinics during the day. For the time they spend traveling between clinics, doctors are paid their salaries, but cannot see any patients. The patients lost during this time are split between the starting clinic and the destination clinic (for example, if a doctor can see 4 patients in an hour, and travels at 4 pm from a clinic to another that is half an hour away, 1 patient fewer is seen at each of these clinics than would be if travel time were not considered).

The goal of the problem is to minimise the cost to the organisation, making sure that the requisite number of patients are seen weekly at each of the clinics.
 
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It looks like an ordinary linear optimization problem with several constraints. There are algorithms to solve this. In contrast to the TSP we obviously have a version of finite length, so the question about complexity doesn't arise.
 

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