Stochastic Pricing and Order Model with Transportation Mode Selection for Low-Carbon Retailers

Zheng, Yu; Liao, Huchang; Yang, Xue

doi:10.3390/su8010048

Cited by 14 publications

(15 citation statements)

References 31 publications

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“…Ref. [20] studies a joint optimization model of pricing and ordering amount to consider the sensitivity of price and carbon emission and the selection of transportation modes with a cap-and-trade policy and uncertain market demand. They discuss how a retailer reaches a joint optimal decision on the transportation model, pricing and ordering quantity with consumer sensitivity to carbon emissions and price.…”

Section: Cap-and-trade Regulationsmentioning

confidence: 99%

A Loss-Averse Newsvendor with Cap-and-Trade Carbon Emissions Regulation

Choi

2018

Sustainability

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This study aims to provide an optimization model for operational efficiency in individual firms with cap-and-trade carbon emissions regulation. In addition, this study assumes that customers' demand takes a probability distribution. Under this circumstance, our intention is to draw theoretical and policy implications for carbon emissions regulation by setting and analyzing newsvendor models in which the decision maker is loss-averse for her risk preference. Then, we formulate two loss-averse newsvendor models where we use a "kinked" piecewise linear and concave utility function. More specifically, we show that our objective functions are concave to derive the existence and uniqueness of the optimal solution. After then, through a comparative static analysis, we conduct a sensitivity analysis of how the model parameters affect the optimal solution. Then, the analytical results can be summarized as follows. First, in a lost-sale model, loss aversion significantly affects the optimal policy of newsvendors' decision-making with cap-and-trade regulations. Second, in a stockout penalty cost model, the inclusion of cap-and-trade regulation terms and shortage penalty costs adds more structural complexity in the optimal solution. Thus, the directions of the impacts are mixed and the impacts on the optimal solutions are not monotone, especially with cap-and-trade terms. All these analytical results show big differences between the existing risk-neutral and our loss-averse models, which are confirmed by numerical experiments.

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Section: Cap-and-trade Regulationsmentioning

confidence: 99%

A Loss-Averse Newsvendor with Cap-and-Trade Carbon Emissions Regulation

Choi

2018

Sustainability

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“…This is also exemplified by specific triple bottom line missions within corporate strategies and reports ( Figure 4). Many research avenues and projects therefore address such questions, mainly aiming to reduce and optimize the logistics "footprint" [54][55][56]. As was experienced involuntarily during the 2008 economic crisis, the total amount of GHG emissions can easily be reduced by lowering the overall transport volume.…”

Section: Transportation and Sustainabilitymentioning

confidence: 99%

Do Forwarders Improve Sustainability Efficiency? Evidence from a European DEA Malmquist Index Calculation

Klumpp

2017

Sustainability

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Sustainability performance and efficiency is an important topic in transportation and for forwarders. This is shown, for example, by the fact that major logistics service providers LSP publish sustainability reports, often within the annual legal business report. However, in depth research is missing regarding the efficiency of forwarders regarding the established triple bottom line approach for sustainability, including economic, social, and ecology performance areas. This is especially true for a dynamic time-series perspective, as usually only static analyses for one point in time are presented (in most cases single business years). Therefore, the operations research technique of a data envelopment analysis (DEA) Malmquist index calculation is used in order to provide a longitudinal calculation of efficiency, incorporating multiple objectives regarding the triple bottom line approach for European forwarders. Several indicators are tested, including total revenues and assets as input types, profit (EBIT) and dividend volume (economic dimension), employment and gender equality in management (social), and carbon-equivalent emissions (environmental) as output types.

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“…Several very recent studies have incorporated sensitivity analysis into SCM decision analysis (Kim et al, 2014;Ameda, 2014;Zheng et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Analysis of the Determinants of Swap Problem in the Supply Chain of the Petroleum Industry

Al-Hussain

Khorramshahgol²

2016

IJSP

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Applying mathematical modeling to solve swap problems, specifically in the petroleum industry, have proven to help the decision makers to better determine what, where, and how much to swap in order to reduce supply chain (SC) costs and improve its surplus. However, for a better determination of the alternatives and a more profound evaluation of the tradeoffs among them, a comprehensive analysis of the results and a thorough investigation of their impact on the parties involved in swap are crucial. This research performs a detailed sensitivity analysis of the swap problem to examine the effect of different operational parameters on the cost savings realized along the supply chain of the organizations involved in swap. Findings of this study suggest that, if performed properly, swap can significantly reduce supply chain costs and may result in substantial savings, creating a win-win situation for all parties engaged in swap.

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Stochastic Pricing and Order Model with Transportation Mode Selection for Low-Carbon Retailers

Cited by 14 publications

References 31 publications

A Loss-Averse Newsvendor with Cap-and-Trade Carbon Emissions Regulation

A Loss-Averse Newsvendor with Cap-and-Trade Carbon Emissions Regulation

Do Forwarders Improve Sustainability Efficiency? Evidence from a European DEA Malmquist Index Calculation

A Comprehensive Analysis of the Determinants of Swap Problem in the Supply Chain of the Petroleum Industry

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