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Research On The Operation Optimization Model Of Fresh Food Retailers Under Low-carbon Policies

Posted on:2022-10-12Degree:MasterType:Thesis
Country:ChinaCandidate:X ZhaoFull Text:PDF
GTID:2511306323484884Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of modern industries,excessive emissions of greenhouse gases have caused global temperatures to rise,causing great harm to human survival and development.Therefore,the concept of low-carbon sustainable development has attracted more and more attention from all walks of life in the world.As a world economic power,China has taken the initiative to shoulder the responsibility of a major country,and actively promoted the sustainable development of a low-carbon economy.In combination with the actual situation of its own development,China has promulgated many carbon emission reduction policies to control the carbon emissions generated by enterprises.Hence,whether for general commodities or perishable commodities,ensuring the maximization of their own interests while reducing carbon emissions has become an important issue to be urgently solved in enterprise operation,which has also aroused deep thinking of many scholars in the academic community.In view of different carbon emission reduction regulations,this paper respectively studies the distributed robust optimal decisions of the joint ordering and emissions reduction technology investment with only known market demand mean and variance,and the optimal risk ordering decisions when fresh products retailer faces capital constraint and knows the distribution function of market demand.The main research contents of the paper are as follows:Firstly,based on newsvendor model,we construct distributed robust optimization models for fresh products retailer under cap-and-offset regulation.Comparing the model with the case without the technology investment,the results show that,under the cap-and-offset regulation,investing in the emission reduction technology can yield higher profit and lower carbon emissions.Then,under cap-and-trade and carbon tax regulations,we respectively construct two optimization models for the risk-averse fresh products retailer faced insufficient funds.Comparing and analysing these two models,the results show that,when the carbon cap and trading price are appropriately valued,the cap-and-trade regulation is more conducive to enterprise to yield higher utility and lower carbon emission.Finally,the conclusion of this paper is summarized and the future prospect is putted forward.
Keywords/Search Tags:Carbon emission reduction regulations, Fresh products, Distributed robust optimization, Risk aversion, Capital constraint
PDF Full Text Request
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