Timeline for Demand allocation to facilities
Current License: CC BY-SA 4.0
17 events
| when toggle format | what | by | license | comment | |
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| Aug 7, 2021 at 21:46 | history | edited | RobPratt | CC BY-SA 4.0 |
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| Aug 6, 2021 at 22:21 | history | edited | user4387 | CC BY-SA 4.0 |
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| Aug 6, 2021 at 19:35 | comment | added | prubin♦ | Just set $z_{ijta}=0$ for any combination of indices that you don't want to allow. | |
| Aug 6, 2021 at 11:35 | comment | added | user4387 | However the other commodities can be utlised by all of the age groups | |
| Aug 6, 2021 at 11:34 | comment | added | user4387 | @prubin The constraint I am referring to here is the inventory constraint, and I want that a certain commodity can only be utilised by a certain age group.. | |
| Aug 6, 2021 at 11:33 | comment | added | user4387 | @prubin, can you help me formulate the second constraint? I was able to get around the first one. | |
| Aug 4, 2021 at 15:34 | comment | added | prubin♦ | Rewrite the first constraint as $\sum_t \sum_j z_{ijta}+u_{ia}=D_{ia}$ where $u_{ia}\ge 0$ is a new variable capturing the unsatisfied demand in location $i$, group $a$. Add to the objective something like $\sum_i \sum_a S_a u_{ia}$, which penalizes the unsatisfied demand. | |
| Aug 4, 2021 at 2:55 | answer | added | Matheus Diógenes Andrade | timeline score: 1 | |
| Aug 3, 2021 at 16:56 | comment | added | user4387 | Um, I am still struggling with this, can you show me how? | |
| Aug 3, 2021 at 10:55 | history | undeleted | user4387 | ||
| Aug 3, 2021 at 8:37 | history | deleted | user4387 | via Vote | |
| Aug 2, 2021 at 20:13 | comment | added | prubin♦ | You can require that at least a certain percentage of the high priority demand be satisfied, or you can require that all demand in a high priority (80+) category be satisfied before any demand for a lower priority category is satisfied (might require binary variables), or you can just add penalty terms to the objective for unsatisfied demand in each category. | |
| Aug 1, 2021 at 19:46 | comment | added | user4387 | @prubin, with social cost, or any other way, I am trying to create a situation that if there are certain locations which have population over 80 and there are certain locations with less population over 80, we would want that people who are aged 80 and over to visit the facility first, however if there isn't any 80 and over population, it should look at the next age group. Is there any right way to do this? | |
| Aug 1, 2021 at 19:44 | history | edited | user4387 | CC BY-SA 4.0 |
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| Aug 1, 2021 at 19:43 | comment | added | user4387 | Apologies @prubin, z_ijta is a variable and not binary | |
| Aug 1, 2021 at 19:13 | comment | added | prubin♦ | I'm afraid the first constraint makes no sense. I don't know what "as per a social cost" means, but costs would typically appear in the objective function (or as part of a budget constraint). Note that with fractional costs like 0.1 the right side of the constraint likely has a fractional component while the left side (sum of binary variables) is integer, meaning the model is likely to be infeasible as written. | |
| Aug 1, 2021 at 16:30 | history | asked | user4387 | CC BY-SA 4.0 |