A New Mathematical Model for Redesigning the Reverse Supply Chain with Social Sustainability

Kurilova, Anastasia; Zelinskaya, M.V.

doi:10.7232/iems.2021.20.2.236

Cited by 1 publication

(1 citation statement)

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“…in this review, the most method used in the reverse supply chain is Mixed Integer Linear Programing to control uncertainty. (Kurilova and Zelinskaya 2021) redesign new mathematical model for reverse supply chain in social sustainability. (Özçelik, Faruk Yılmaz, and Betül Yeni 2020) The researcher makes the performance of reverse supply chin using the ripple effect on the system and makes a robust model reduce uncertainty.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Delivery Cost on Reverse Logistic for Product Claim in the Two-Wheel Vehicle Industry

Paduloh,

Mayana

2023

JITI

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Product returns are one of the obstacles faced by two-wheeled motor vehicle industry companies in Indonesia, where the company's head office is based in Japan. The obstacle faced is the excess cost of shipping product claims compared to the planned cost budget. These products are replacement parts for CBU (completely built-up) units for two-wheeled motor vehicles exported to Japan. This case will be solved using reverse logistics, where the initial analysis is carried out by finding the value of the bullwhip effect on the company's orders and requests. The next stage is forecasting for the next period using the ARIMA method using Rstudio. The results showed the occurrence of a bullwhip effect, and then the best result was the ARIMA model (0,1,3) (2,1,0). The value of the bullwhip effect managed to decrease by applying the forecasting model. Then optimizing the shipping cost of claim products processed by LINGO results in a 5% reduction in shipping costs from the budget.

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Section: Introductionmentioning

confidence: 99%