2016
DOI: 10.1201/b20114-13
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Investigation of Order-Up-To-Policy and Allocation-Rationing Mechanism for Divergent Supply Chains with Multiple Objectives

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Cited by 2 publications
(6 citation statements)
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“…This kind of a setting is highly unlikely in real scenarios as the retailer given highest priority would be the retailer buying maximum quantity, and this setting defies that logic, and is presented in this study only to test the performance of the mathematical model under such situations. Future research could extend the present study by considering lost sales, ordering costs and stochastic demands (see John et al [22] and John et al [23] for details).…”
Section: Discussion Of the Results With Focus On The Tscscmentioning
confidence: 99%
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“…This kind of a setting is highly unlikely in real scenarios as the retailer given highest priority would be the retailer buying maximum quantity, and this setting defies that logic, and is presented in this study only to test the performance of the mathematical model under such situations. Future research could extend the present study by considering lost sales, ordering costs and stochastic demands (see John et al [22] and John et al [23] for details).…”
Section: Discussion Of the Results With Focus On The Tscscmentioning
confidence: 99%
“…Hypothetical examples are presented in Appendix-A and Appendix-B to highlight the difference between the models operating with and without backorder clearing mechanism, and between rationing and allocation approaches respectively. In the mathematical model of the supply chain with the distributor performing allocation during shortage of product, all constraints (except constraint (22), now replaced by 0 d t 1) remain the same as in the mathematical model of the supply chain with the distributor performing the rationing mechanism.…”
Section: Mathematical Formulation: Allocation Mechanism With Backorde...mentioning
confidence: 99%
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