Optimal apparel supplier selection with forecast updates under carbon emission taxation scheme
Journal
Computers and Operations Research
Journal Volume
40
Journal Issue
11
Pages
2646-2655
Date Issued
2013
Author(s)
Abstract
Carbon emission tax is an important measure for sustainable supply chain management. This paper studies an optimal supplier selection problem in the fashion apparel supply chain in the presence of carbon emission tax. We consider the scenario in which there are multiple suppliers in the market. In the basic model, each supplier offers a supply lead time and a wholesale pricing contract to the fashion retail buyer. For the fashion retail buyer, the supplier which offers a shorter lead time allows it to postpone the ordering decision with updated and better forecast, and also a smaller carbon tax. However, the wholesale price is usually larger. We propose a two-phase optimal supplier selection scheme in which phase one filters the inferior suppliers and phase two helps to select the best supplier among the set of non-inferior suppliers by multi-stage stochastic dynamic programming. The impacts brought by different formats of carbon emission tax are explored. Finally, we examine an extended model in which there is a local supplier who offers a buyback contract and accepts product returns. Insights from the analysis are discussed. ? 2013 Elsevier Ltd.
Subjects
Carbon emission tax; Dynamic programming; Optimal supplier selection
SDGs
Other Subjects
Apparel supply chains; Buy-back contracts; Carbon emissions; Optimal supplier selections; Stochastic dynamic programming; Supplier selection; Sustainable supply chains; Whole sale prices; Dynamic programming; Optimization; Sales; Supply chain management; Taxation
Type
journal article