The economic and environmental performance of dual sourcing: A newsvendor approach

Rosic, Heidrun; Jammernegg, Werner

doi:10.1016/j.ijpe.2012.12.007

Cited by 86 publications

(32 citation statements)

References 25 publications

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“…For example, Choi [15] addressed how a carbon footprint taxation scheme could be imposed on a fashion quick response system. Rosič and Jammernegg [23] investigated the impact of carbon emission policy on the transportation mode. Yalabik and Fairchild [24], Liu et al [25], and Chen and Hao [26] studied the effect of carbon emission on operational decisions for firms in a competitive environment.…”

Section: Introductionmentioning

confidence: 99%

Economic and Environmental Performance of Fashion Supply Chain: The Joint Effect of Power Structure and Sustainable Investment

2017

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Fashion supply chain members now search for trade-offs between sustainable investment and the related incentives, such as savings on environmental taxes and gains in incremental demands. To evaluate the economic and environmental performance of sustainable investment from a power perspective, we develop an analytical model to study a two-echelon sustainable supply chain consisting of one retailer and one manufacturer with three different power structures. We derive the optimal solutions for various cases associated with different supply chain power structures and sustainable investors. Though it is beneficial for both the manufacturer and retailer to make sustainable investment, they often utilize high power to gain economic benefit with less sustainable investment. Interestingly, the follower with less supply chain power has more incentive to make a sustainable effort to achieve a higher profit. The optimal amount of sustainable investment in the apparel manufacturer investment case is greater than that in the retailer investment case in most scenarios.

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Section: Introductionmentioning

confidence: 99%

Economic and Environmental Performance of Fashion Supply Chain: The Joint Effect of Power Structure and Sustainable Investment

2017

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“…They examined the uncapacitated lotsizing problem under four types of constraints. While in [2,6,23] the carbon constraints are incorporated into the newsvendor model, in [24,25] are incorporated sustainability concerns into the EOQ model and re-formulated the problem as a multi-objective problem. The authors of [5] developed a profit-maximization model for the production planning problem with the cap-and-trade.…”

Section: Introductionmentioning

confidence: 99%

Carbon-Constrained Perishable Inventory Management with Freshness-Dependent Demand

Hua

Cheng

Zhang

et al. 2016

Int. j. simul. model.

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We consider perishable inventory control with freshness-dependent demand under carbon emissions constraints. We propose two deteriorating inventory models with carbon emissions tax and the capand-trade mechanism, in which the demand is freshness dependent, carbon emissions come from inventory holding, shipping, and item deteriorating, and the objective is to maximize the profit per unit time. We characterize the existence and uniqueness of the solutions for the models. We analyse the impacts of carbon emissions tax, carbon emissions quota, and carbon price on inventory decisions, carbon emissions, and profit. We conduct simulation to generate managerial insights from our analytical results.

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“…There are papers investigate the carbon emission considering other supply chain aspects, e.g., dual sourcing problem, return policies, supplier evaluation and transportation scheduling. For example, Rosič and Jammernegg [16] investigate the effects of the environmental regulations on the dual sourcing problem, in which the retailer uses both the offshore and onshore suppliers. Shen and Li [17] investigate the effects of the return policies on the sustainability of fashion supply chain, where the sustainability factors include expected amount leftover, the ration of expected sales over expected leftover, etc.…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainable Investment in a Supply Chain in the Big Data Era: An Information Updating Approach

et al. 2018

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Abstract:We are now living in the big data era, where firms can improve their decision makings by adopting big data technology to utilize mass information. To explore the effects of the big data technology, we build an analytical model to study the sustainable investment in a supply chain, consisting of one manufacturer and one retailer, by using Bayesian information updating approach. We derive the optimal sustainable investment level for the manufacturer and the optimal order quantity for the retailer. Comparing the results with and without the big data technology, we find that whether the manufacturer should make more sustainable investment when the retailer adopts the big data technology depends on the service level at the retailer side. Interestingly, it is not always optimal for the retailer to adopt the big data technology. We identify the conditions under which the manufacturer and retailer are better off with the big data technology. In addition, we investigate the impact of the number of observations regarding the market information and find that the optimal decisions and profits increase in the number of the observations, if and only if the service level is low.

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The economic and environmental performance of dual sourcing: A newsvendor approach

Cited by 86 publications

References 25 publications

Economic and Environmental Performance of Fashion Supply Chain: The Joint Effect of Power Structure and Sustainable Investment

Economic and Environmental Performance of Fashion Supply Chain: The Joint Effect of Power Structure and Sustainable Investment

Carbon-Constrained Perishable Inventory Management with Freshness-Dependent Demand

Sustainable Investment in a Supply Chain in the Big Data Era: An Information Updating Approach

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