A study on improving decision quality of perishable commodity ordering for multi-scenario

Perishable commodity is commodity that has time limit for storage; and its expiration date is often shorter than ordinary commodity. Therefore, its management should be stricter. Too many or too little amount of commodity was ordered could both cause business loss. Traditionally, only single scenario was discussed. However in reality, the demand is affected by various scenarios like the weather conditions or environmental factors and so on. Thus, this study focused on perishable commodity ordering strategy under multi-scenario. Furthermore, the sensitivity analysis was carried out to test how the main parameters affect the total expectation profit and the decision variable. Finally, a numerical example was demonstrated to verify the feasibility of the proposed model; and some conclusions were drawn for practical applications and future studies. © 2019, Chinese Society for Quality. All rights reserved.