This paper studies the inventory of cash as a renewable resource in single machine scheduling problem. The status of cash is incorporated in to the objective function. Average and minimum available cash and maximum and average cash deficiency are contemplated subject to a worst-case scenario that for each job the cost [price] is paid [received] entirely at the start [end] of processing the job. For each objective, either proof of NP-Hardness or optimal scheduling rule are provided. Some scenario-based numerical experiments are also carried out which reveal and emphasize the effect of financial assumptions of this research in single machine scheduling.
Morady Gohareh,M , Mansouri,E and Ghasemi Yaghin,R . (2022). Worst-Case Analysis of Cash Inventory in Single Machine Scheduling. (e23026). Scientia Iranica, (), e23026 doi: 10.24200/sci.2022.57284.5756
MLA
Morady Gohareh,M , , Mansouri,E , and Ghasemi Yaghin,R . "Worst-Case Analysis of Cash Inventory in Single Machine Scheduling" .e23026 , Scientia Iranica, , , 2022, e23026. doi: 10.24200/sci.2022.57284.5756
HARVARD
Morady Gohareh M, Mansouri E, Ghasemi Yaghin R. (2022). 'Worst-Case Analysis of Cash Inventory in Single Machine Scheduling', Scientia Iranica, (), e23026. doi: 10.24200/sci.2022.57284.5756
CHICAGO
M Morady Gohareh, E Mansouri and R Ghasemi Yaghin, "Worst-Case Analysis of Cash Inventory in Single Machine Scheduling," Scientia Iranica, (2022): e23026, doi: 10.24200/sci.2022.57284.5756
VANCOUVER
Morady Gohareh M, Mansouri E, Ghasemi Yaghin R. Worst-Case Analysis of Cash Inventory in Single Machine Scheduling. Scientia Iranica. 2022;():e23026. doi: 10.24200/sci.2022.57284.5756
