Track: Logistics Management

Abstract

Due to the importance of perishable products is growing, in terms of sales, the management of these products is continously shifting for improvement. It can be evidenced from system emergence to reduce potential loss and maintain shelf life. In fact, the most and the simplest mechanism in order to preserve deterioration is maintaining its temperature. Therefore, temperature management the operational planning in perishable goods should be integrated, from production scheduling through the distribution into received consumer. Moreover, we also put more emphasis to energy issue since its consumption is applied to preserve intangible value and safety concerns. This study seeks to develop multi objective framework model to reach integrate decision planning with prior shipment planning that consider energy consumption. The integration aims to not only maximizing the expected revenue, but also guarantee the perishability that affect product durability. The outputs include optimization according to production sequence order delivery planning, total costs including energy, as well as any changes in shelf life. Furthermore, to solve the model, local heuristic approach, Nearest Neighbor algorithm is proposed. Keywords Perishable, scheduling, transportation, integrated, heuristics