Manpower Allocation with Time Windows and Job-Teaming Constraints
In this work, we study manpower allocation with time windows and job-teaming constraints. A set of jobs at dispersed locations requires teams of different types of workers where each job must be carried out in a preestablished time window and requires a specific length of time for completion. A job...
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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2005
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/lkcsb_research/2615 https://doi.org/10.1002/nav.20075 |
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| Institution: | Singapore Management University |
| Language: | English |
| Summary: | In this work, we study manpower allocation with time windows and job-teaming constraints. A set of jobs at dispersed locations requires teams of different types of workers where each job must be carried out in a preestablished time window and requires a specific length of time for completion. A job is satisfied if the required composite team can be brought together at the job's location for the required duration within the job's time window. The objective is to minimize a weighted sum of the total number of workers and the total traveling time. We show that construction heuristics used with simulated annealing is a good approach to solving this NP-hard problem. In experiments, this approach is compared with solutions found using CPLEX and with lower bounds obtained from a network flow model. |
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